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376
Section B: National and District Profiles
376
Section B: Profile Gauteng Province
18 Gauteng Province
Sedibeng District Municipality (DC42)
Sedibeng District is situated in southern Gauteng Province and borders the Free State, North West and Mpumalanga provinces. It comprises three health sub-districts, namely Emfuleni, Lesedi and Midvaal. The district has a population of 935 835, with a population density of 224.3 persons per km2 and falls in socio-economic Quintile 5, among the wealthiest districts. Estimated medical scheme coverage is 21.2%.
Social determinants of healtha
Unemployment ratea 31.9%
Youth unemployment rate (15-34 years)a 41.7%
No schooling 4.3%
Matric 36.0%
Higher education 12.0%
Households 330 828
Female-headed households 36.0%
Formal dwellings 86.7%
Flush toilet connected to sewerage 86.6%
Weekly refuse removal 86.8%
Piped water inside dwellings 69.9%
Electricity for lighting 93.2%
Blue Drop water score 90.2%
Source: StatsSA. 2014 Blue Drop Report.
Population distribution sub-district boundaries and health facility locations
a Statistics South Africa. Census 2011 Municipal fact sheet. Report No. 03-01-58. Pretoria: Statistics SA; 2012.
Population per selected category
Population category 2017 2018 2019 2020
under 1 year 18 704 18 913 18 847 18 511
under 5 years 91 521 92 052 92 087 91 700
05-09 years 86 402 86 967 87 685 88 682
10-14 years 80 866 82 437 83 638 84 509
15-19 years 74 564 76 406 78 160 79 615
20-24 years 83 862 82 437 81 657 81 691
25-29 years 91 462 90 913 90 270 89 468
30-34 years 80 861 83 631 86 783 90 074
35-39 years 74 946 74 965 74 448 73 701
40-44 years 64 887 66 134 67 312 68 309
45-49 years 54 953 55 861 56 875 57 932
50-54 years 48 027 48 391 48 759 49 177
55-59 years 42 637 42 770 42 876 43 017
60-64 years 35 508 36 256 36 864 37 322
65-69 years 25 980 26 972 27 932 28 804
70-74 years 17 478 18 134 18 821 19 570
75-79 years 9 926 10 680 11 375 11 998
80 years and older 6 624 7 058 7 502 7 961
Total 970 509 982 061 993 044 1 003 535
Estimated pregnant women* 20 013 20 237 20 166 19 807
Source: Mid-Year Population Estimates 2016 StatsSA. * Under 1 year population X 1.07.
Section B: National and District Profiles
377
Section B: Profile Gauteng Province
377
Number of facilities by level, 2016/17
Ward based outreach
teams Clinic CHCDistrict Hospital
Regional Hospital
Central/Tertiary
HospitalsOther
Hospitals
Emfuleni SD 55 20 4 1 1 0 6
Lesedi SD 14 7 0 1 0 0 2
Midvaal SD 5 4 0 0 0 0 1
Sedibeng 74 31 4 2 1 0 9
Source: DHIS.
Human resources – filled posts, 2016
Community Health
WorkersNursing
assistantsEnrolled
nurseProfessional
nurseMedical
practitioners PharmacistsDental
practitionersOccupational
therapy Physiotherapy
Speech Therapy and Audiology
Sedibeng 1 191 346 459 876 174 139 16 18 8 8
Source: Persal, DHIS.
Management and efficiency indicators for the service delivery platform, 2016/17
PHC Management
Output Process & input
PHC utilisation rate (No)
Percentage Ideal clinics
(%)
Percentage of assessed PHC facilities with 90% of tracer
medicines available (%)
Provincial and LG
District Health Services
expenditure per capita
(uninsured) (Rand)
Provincial and LG PHC expenditure per capita
(uninsured) (Rand)
Provincial and LG PHC expenditure
per PHC headcount
(Rand)
2016/17 2016/17 2016/17 2016/17 2016/17 2016/17
Emfuleni SD Indicator 1.9 - - - - -
Numerator 1 403 325 - - - - -
Denominator 8 842 704 - - - - -
Lesedi SD Indicator 1.7 - - - - -
Numerator 176 749 - - - - -
Denominator 1 222 752 - - - - -
Midvaal SD Indicator 1.9 - - - - -
Numerator 191 356 - - - - -
Denominator 1 186 128 - - - - -
Sedibeng Indicator 1.9 53.8 97.4 1 837 1 281 533
Numerator 17 714 30 21 37 1 353 558 019 944 263 806 944 263 806
Denominator 11 251 584 39 38 737 019 737 019 1 771 430
Gauteng Indicator 1.6 58.1 93.7 1 414 1 106 503
South Africa Indicator 2.3 29.8 78.4 1 726 1 054 389
Source: DHIS.
2008 2010 2012 2014 2016 2018Year
1_M
anag
emen
t
1_Im
pact
Inpatient crudedeath rate
2_O
utco
me
Average lengthof stay (districthospitals)
Expenditure perpatient dayequivalent(districthospitals)
3_O
utpu
t
Inpatient bedutilisation rate(districthospitals)
OPD new clientnot referred rate(districthospitals)
4_P
roce
ss_i
nput
PercentageIdeal clinics
Provincial andLG DistrictHealth Servicesexpenditure percapita(uninsured)
Provincial andLG PHCexpenditure percapita(uninsured)
Provincial andLG PHCexpenditure perPHC headcount
2
4
6
8
2
4
6
8
1K
2K
3K
4K
50
100
0
50
100
0
50
100
1K
2K
3K
500
1000
1500
200
400
GP, DC42, Sedibeng District Municipality, SEQ 5 (least deprived)
Measure NamesIndValueProv_avZA_av
Meas ure NamesIndV alue
P rov_av
ZA_av
378
Section B: National and District Profiles
378
Section B: Profile Gauteng Province
Hos
pita
l
Dis
tric
t Hos
pita
lR
egio
nal H
ospi
tal
Tert
iary
/Cen
tral
Hos
pita
l
Aver
age
leng
th o
f st
ay -
tota
l (D
ays)
Expe
nditu
re
per p
atie
nt
day
equi
vale
nt
(Ran
d)
Inpa
tient
bed
ut
ilisa
tion
rate
- to
tal
(%)
Inpa
tient
cr
ude
deat
h ra
te (%
)
OPD
new
cl
ient
not
re
ferr
ed ra
te
(%)
Aver
age
leng
th o
f st
ay -
tota
l (D
ays)
Expe
nditu
re
per p
atie
nt
day
equi
vale
nt
(Ran
d)
Inpa
tient
bed
ut
ilisa
tion
rate
- to
tal
(%)
Inpa
tient
cr
ude
deat
h ra
te (%
)
OPD
new
cl
ient
not
re
ferr
ed ra
te
(%)
Aver
age
leng
th o
f st
ay -
tota
l (D
ays)
Expe
nditu
re
per p
atie
nt
day
equi
vale
nt
(Ran
d)
Inpa
tient
bed
ut
ilisa
tion
rate
- to
tal
(%)
Inpa
tient
cr
ude
deat
h ra
te (%
)
OPD
new
cl
ient
not
re
ferr
ed ra
te
(%)
Emfu
leni
SD
Indi
cato
r4.
02
762
80.5
5.4
72.3
6.7
2 38
774
.85.
747
.4 -
- -
- -
Num
erat
or64
433
237
412
939
64 4
3386
16
915
210
510
692
361
097
210
510
1 80
48
067
- -
- -
-
Den
omin
ator
16 0
1485
964
80 0
0516
014
9 56
831
636
290
091
281
263
31 6
3617
022
- -
- -
-
Lese
di S
DIn
dica
tor
3.6
3 29
568
.37.
069
.7 -
- -
- -
- -
- -
-
Num
erat
or31
412
158
064
145
31 4
1260
07
841
- -
- -
- -
- -
- -
Den
omin
ator
8 62
947
978
45 9
958
629
11 2
53 -
- -
- -
- -
- -
-
Sedi
beng
In
dica
tor
3.9
2 95
376
.15.
970
.96.
72
387
74.8
5.7
47.4
- -
- -
-
Num
erat
or95
845
395
477
084
95 8
451
461
14 7
5621
0 51
069
2 36
1 09
721
0 51
01
804
8 06
7 -
- -
- -
Den
omin
ator
24 6
4313
3 94
112
6 00
024
643
20 8
2131
6 36
290
091
281
263
31 6
3617
022
- -
- -
-
Gau
teng
Indi
cato
r4.
42
902
65.1
4.4
52.5
5.1
2 87
581
.65.
128
.47.
23
657
81.5
6.0
20.5
Sout
h Af
rica
Indi
cato
r4.
42
568
67.4
5.1
59.3
5.3
2 89
478
.35.
037
.26.
94
227
84.3
5.4
20.3
Sour
ce:
DH
IS a
nd B
AS.
Annual trends
Section B: National and District Profiles
379
Section B: Profile Gauteng Province
379
Deaths and Patient day equivalent 2014/15 – 2016/17
Dat
a El
emen
t(N
umbe
r)
2014
/15
2015
/16
2016
/17
PHC
/ CH
C / M
OU
*D
istr
ict
Hos
pita
lR
egio
nal
Hos
pita
l
Cen
tral
/te
rtia
ry
Hos
pita
lD
istr
ict
Tota
lPH
C / C
HC
/ MO
UD
istr
ict
Hos
pita
lR
egio
nal
Hos
pita
l
Cen
tral
/te
rtia
ry
Hos
pita
lD
istr
ict
Tota
lPH
C / C
HC
/ MO
UD
istr
ict
Hos
pita
lR
egio
nal
Hos
pita
l
Cen
tral
/te
rtia
ry
hosp
ital
Dis
tric
t To
tal
Mat
erna
l dea
ths
-6
11-
17-
510
-15
-7
6-
13
Live
birt
hs3
502
5 73
75
225
-14
464
3 24
55
274
5 37
8-
13 8
972
921
5 02
25
421
-13
364
Still
birth
s22
8217
3-
277
2586
175
-28
620
105
155
-28
0
Child (under 5 years)
Infant (under 1
year)
Neo-natal
Dea
th in
faci
lity
0-7d
ays
341
90-
134
-31
65-
992
2669
-97
Dea
th in
faci
lity
8-28
day
s -
-49
-49
--
52-
52-
-51
-51
Dea
th in
faci
lity
29 d
ays
- 11
mon
ths
-20
21-
41-
1552
-67
-10
13-
23
Dea
th in
faci
lity
12 –
59
mon
ths
-12
41-
53-
1065
-75
-4
13-
17
Dia
rrho
ea d
eath
und
er 5
yea
rs
-4
12-
16-
45
-9
-5
3-
8
Pneu
mon
ia d
eath
und
er 5
yea
rs-
119
-20
-3
15-
18-
53
-8
Seve
re a
cute
mal
nutri
tion
deat
h un
der 5
yea
rs
-14
13-
27-
134
-17
--
4-
4
TB D
eath
s 1
095
--
-1
095
1 03
5-
--
1 03
5-
--
--
Inpa
tient
dea
th to
tal
-1
360
2 04
6-
3 40
63
1 42
22
020
-3
445
21
461
1 80
4-
3 26
7
Patie
nt d
ay e
quiv
alen
t-
131
628
274
490
-40
6 11
83
820
133
456
275
072
-41
2 34
86
521
133
941
290
091
-43
0 55
3
Sour
ce:
DH
IS. *
MO
U –
Mat
erna
l Obs
tetr
ic U
nit.
AgeGroup.. Female Male<5 years
5-1415-2425-64
65+Total 27%
15%27%
34%34%
78%
16%2%
25%31%
20%6%
52%80%
43%18%
18%10%
5%3%5%
17%28%
6%
24%15%
22%15%
26%79%
19%5%
27%13%
16%5%
42%76%
35%16%
17%10%
15%3%
16%56%
41%7%
GP, Sedibeng: DC42, 2010 - 2015
Rank.. Female Male
<5 y
ears
12345678910
5-14
12345678910
15-2
4
12345678910
25-6
4
12345678910
65+
12345678910
Congenital heart anomalies (1.9%)Other perinatal conditions (1.9%)
Sepsis/other newborn infectious (6.5%)Birth asphyxia (5.9%)
Protein-energy malnutrition (4.4%)
Preterm birth complications (16.2%)
Septicaemia (2.0%)
Diarrhoeal diseases (18.9%)Lower respiratory infections (21.0%)
HIV/AIDS (4.6%)
Other unintentional injuries (3.1%)
Drowning (7.5%)
Fires, hot substances (4.9%)Septicaemia (3.3%)
Meningitis/encephalitis (5.3%)
Accidental threats to breathing (12.0%)
Diarrhoeal diseases (8.1%)
Lower respiratory infections (18.5%)
Tuberculosis (11.0%)
HIV/AIDS (12.6%)
Cardiomyopathy (2.1%)
Meningitis/encephalitis (4.5%)
Mechanical forces (3.2%)
Accidental threats to breathing (6.2%)
Interpersonal violence (3.6%)
Nephritis/nephrosis (1.8%)
Diarrhoeal diseases (6.6%)
Lower respiratory infections (18.2%)
Tuberculosis (15.8%)HIV/AIDS (15.9%)
Meningitis/encephalitis (3.5%)Nephritis/nephrosis (3.4%)Hypertensive heart disease (2.8%)
Diabetes mellitus (4.3%)Diarrhoeal diseases (5.2%)Ischaemic heart disease (5.3%)Cerebrovascular disease (6.6%)
Lower respiratory infections (15.7%)Tuberculosis (12.7%)HIV/AIDS (11.9%)
Septicaemia (2.1%)COPD (3.1%)
Nephritis/nephrosis (4.0%)
Hypertensive heart disease (10.3%)
Diabetes mellitus (6.9%)
Diarrhoeal diseases (3.2%)
Ischaemic heart disease (13.8%)Cerebrovascular disease (17.0%)
Lower respiratory infections (9.2%)
Tuberculosis (1.8%)
Congenital heart anomalies (2.2%)
Other perinatal conditions (2.3%)
Sepsis/other newborn infectious (7.6%)Birth asphyxia (6.8%)
Protein-energy malnutrition (4.2%)
Fires, hot substances (2.2%)
Preterm birth complications (17.1%)Diarrhoeal diseases (16.5%)
Lower respiratory infections (21.1%)
HIV/AIDS (3.6%)
Other unintentional injuries (8.1%)
Drowning (15.0%)
Epilepsy (4.7%)Fires, hot substances (7.1%)
Meningitis/encephalitis (3.7%)
Accidental threats to breathing (10.8%)
Diarrhoeal diseases (8.8%)
Lower respiratory infections (10.8%)
Tuberculosis (9.8%)
HIV/AIDS (8.0%)
Drowning (2.4%)
Epilepsy (2.8%)Fires, hot substances (5.2%)
Meningitis/encephalitis (2.7%)
Mechanical forces (11.1%)Accidental threats to breathing (11.8%)
Interpersonal violence (22.3%)
Lower respiratory infections (7.8%)Tuberculosis (8.2%)
HIV/AIDS (5.8%)
Meningitis/encephalitis (2.8%)
Mechanical forces (5.1%)
Accidental threats to breathing (3.6%)Interpersonal violence (3.9%)
Diarrhoeal diseases (3.4%)
Ischaemic heart disease (5.7%)
Cerebrovascular disease (4.9%)
Lower respiratory infections (13.4%)Tuberculosis (16.5%)
HIV/AIDS (10.4%)
Prostate (4.4%)
Trachea/bronchi/lung (2.3%)
COPD (5.8%)
Nephritis/nephrosis (3.9%)
Hypertensive heart disease (4.8%)Diabetes mellitus (5.4%)
Ischaemic heart disease (15.2%)Cerebrovascular disease (11.9%)
Lower respiratory infections (10.4%)
Tuberculosis (4.1%)
Rank.. Maternal conditions All other causes
Fem
ale
15-4
9
12345678910
Maternal sepsis (6.4%) n=11Abortion (11.4%) n=19
Maternal haemorrhage (13.8%) n=23Hypertension in pregnancy (18.7%) n=31
Other maternal (19.8%) n=33Indirect maternal (30.0%) n=50
Ischaemic heart disease (2.7%) n=277
Diabetes mellitus (2.1%) n=217Endocrine nutritional,blood, immune (2.2%) n=226
Nephritis/nephrosis (2.9%) n=306Cerebrovascular disease (3.6%) n=369Meningitis/encephalitis (4.7%) n=492Diarrhoeal diseases (6.1%) n=637
Lower respiratory infections (19.3%) n=2 004
Tuberculosis (16.0%) n=1 664HIV/AIDS (16.5%) n=1 708
Percentage ofdeaths by broad
causes andsingle leading
causes
BroadcauseInjury
NCD
HIV and TB
Comm_mat_peri_nut
Prov, DistrictGP, Sedibeng: DC42
Show history
Percentages are shownaccording to all the deaths
within the age/gendercategory of each box,
although only the leading10 causes are displayed.
380
Section B: National and District Profiles
380
Section B: Profile Gauteng Province
Burden of disease profile
For the percentage of deaths by broad cause, deaths are classified into four groups namely: (i) injuries; (ii) non-communicable diseases; (iii) HIV and TB; and (iv) communicable diseases together with maternal perinatal and nutritional conditions. Data are given by gender and age group for the period 2010–2015. The second part of the graph shows the 10 leading single causes of death within each age group (both genders) for 2010–2015 combined.
Percentage of deaths by broad cause and leading causes 2010–2015
2009 2010 2011 2012 2013 2014 2015 2016Year
2_M
ater
nal a
nd w
omen
's h
ealth
1_Im
pact Maternal
mortality infacility ratio
2_O
utco
me
Antenatal 1stvisit before 20weeks rate
Couple yearprotection rate(WHO)
Delivery infacility under 18years rate
Motherpostnatal visitwithin 6 daysrate
3_O
utpu
t
Antenatal clientinitiated on ARTrate
Cervical cancerscreeningcoverage
0
200
400
600
800
20
40
60
80
100
200
5
10
15
0
100
200
50
100
150
200
50
100
150
GP, DC42, Sedibeng District Municipality, SEQ 5 (least deprived)
Measure NamesIndValueProv_avZA_av
Section B: National and District Profiles
381
Section B: Profile Gauteng Province
381
Maternal and Women’s Health
Impact Outcome Output
Maternal mortality in facility ratio (per100K)
Antenatal client initiated
on ART rate (%)
Delivery in facility under 18 years rate
(%)
Antenatal 1st visit before 20 weeks rate (%)
Cervical cancer
screening coverage (%)
Couple year protection rate
(WHO) (%)
Mother postnatal visit within 6 days
rate (%)
2016/17 2016/17 2016/17 2016/17 2016/17 2016/17 2016/17
Emfuleni SD Indicator 84.2 98.1 4.7 66.6 50.2 115.9 60.5
Numerator 10 1 816 559 7 793 9 448 238 350 7 242
Denominator 11 880 1 851 11 980 11 701 225 891 2 467 644 11 980
Lesedi SD Indicator 171.7 101.8 7.5 68.2 38.7 91.6 42.7
Numerator 3 226 132 991 961 24 228 756
Denominator 1 747 222 1 770 1 454 29 798 317 256 1 770
Midvaal SD Indicator - 99.1 - 74.7 40.1 87.7 -
Numerator - 213 - 1 134 1 027 22 694 781
Denominator - 215 - 1 518 30 697 310 578 -
Sedibeng Indicator 95.4 98.6 5.0 67.6 47.9 110.6 63.8
Numerator 13 2 255 691 9 918 11 436 285 272 8 779
Denominator 13 627 2 288 13 750 14 673 286 385 3 095 478 13 750
Gauteng Indicator 119.2 94.8 4.7 58.4 50.3 58.1 85.9
South Africa Indicator 116.9 95.1 6.8 65.2 61.5 70.2 70.3
Source: DHIS.
Annual trends
2009 2010 2011 2012 2013 2014 2015 2016Year
3_C
hild
and
sch
ool h
ealth
1_Im
pact
Child under 5years diarrhoeacase fatality rate
Child under 5yearspneumoniacase fatality rate
Child under 5years severeacutemalnutritioncase fatality rate
Inpatient earlyneonatal deathrate
3_O
utpu
tImmunisationcoverage under1 year
Infantexclusivelybreastfed atDTaP-IPV-Hib-HBV 3rd doserate
Measles 2nddose coverage
School Grade 1screeningcoverage
0
50
100
0
10
20
30
0
20
40
60
0
10
20
50
100
150
20
40
60
80
50
100
150
0
50
100
GP, DC42, Sedibeng District Municipality, SEQ 5 (least deprived)
Measure NamesIndValueProv_avZA_av
Meas ure NamesIndV alue
P rov_av
ZA_av
382
Section B: National and District Profiles
382
Section B: Profile Gauteng Province
Child and School Health Annual trends
Im
pact
Out
com
eO
utpu
t
Chi
ld u
nder
5
year
s di
arrh
oea
case
fata
lity
rate
(%)
Chi
ld u
nder
5
year
s pn
eum
onia
ca
se fa
talit
y ra
te (%
)
Chi
ld u
nder
5
year
s se
vere
acu
te
mal
nutr
ition
ca
se fa
talit
y ra
te (%
)
Inpa
tient
de
ath
unde
r 1
year
rate
(%)
Inpa
tient
de
ath
unde
r 5
year
rate
(%)
Inpa
tient
ea
rly n
eona
tal
deat
h ra
te
(per
1K)
Inpa
tient
ne
onat
al
deat
h ra
te
(per
1K)
Infa
nt P
CR
test
pos
itive
ar
ound
10
wee
ks ra
te
(%)
Imm
unis
atio
n co
vera
ge
unde
r 1 y
ear
(%)
Infa
nt
excl
usiv
ely
brea
stfe
d at
D
TaP-
IPV-
Hib
-H
BV
3rd d
ose
rate
(%)
Mea
sles
2nd
dos
e co
vera
ge (%
)
Scho
ol G
rade
1
scre
enin
g co
vera
ge (%
)
Scho
ol G
rade
8
scre
enin
g co
vera
ge (%
)
Vita
min
A
dose
12-
59
mon
ths
cove
rage
(%)
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
Emfu
leni
SD
Indi
cato
r0.
70.
82.
416
.410
.87.1
11.5
1.0
111.
535
.913
1.2
43.2
51.5
77.7
Num
erat
or3
44
152
166
8413
718
11 2
514
643
13 7
675
688
5 57
967
469
Den
omin
ator
413
533
164
929
1 53
111
880
11 8
801
871
121
140
12 9
3912
5 94
613
160
10 8
281
042
080
Lese
di S
DIn
dica
tor
2.5
3.9
-7.
95.
58.
68.
62.
194
.927
.911
1.7
90.0
98.6
52.0
Num
erat
or5
4 -
2326
1515
31
326
384
1 63
11
556
1 16
86
337
Den
omin
ator
204
102
2529
147
41
747
1 74
714
116
767
1 37
417
529
1 72
91
185
146
106
Mid
vaal
SD
Indi
cato
r -
- -
- -
- -
2.7
127.
241
.613
2.9
34.8
58.1
69.3
Num
erat
or -
- -
- -
- -
51
509
661
1 63
454
725
27
082
Den
omin
ator
- -
- -
- -
-18
714
241
1 58
914
754
1 57
343
412
2 56
2
Sedi
beng
In
dica
tor
1.3
1.3
2.1
14.3
9.6
7.3
11.2
1.2
111.
135
.812
9.2
47.3
56.2
74.1
Num
erat
or8
84
175
192
9915
226
14 0
865
688
17 0
327
791
6 99
980
888
Den
omin
ator
617
635
189
1 22
02
005
13 6
2713
627
2 19
915
2 14
815
902
158
229
197
544
149
364
1 31
0 74
8
Gau
teng
Indi
cato
r1.
71.
56.
59.
76.
710
.013
.61.
796
.744
.010
5.7
49.5
35.4
61.5
Sout
h Af
rica
Indi
cato
r2.
02.
08.
06.
34.
49.
912
.41.
382
.341
.696
.233
.019
.858
.0
Sour
ce:
DH
IS.
2009 2010 2011 2012 2013 2014 2015 2016Year
4_H
IV
4_P
roce
ss_i
nput
HIV testingcoverage(including ANC)
Male condomdistributioncoverage
Medical malecircumcisionrate
20
40
60
100
200
0
20
40
6080
GP, DC42, Sedibeng District Municipality, SEQ 5 (least deprived)
Measure NamesIndValueProv_avZA_av
Meas ure NamesIndV alue
P rov_av
ZA_av
Section B: National and District Profiles
383
Section B: Profile Gauteng Province
383
HIV
3rd 9
0-90
-90
2nd 9
0-90
-90
1st 90
-90-
90
Out
com
eO
utpu
tPr
oces
s &
inpu
t
Adu
lt w
ith v
iral
load
com
plet
ion
rate
at 1
2 m
onth
s (%
)
Chi
ld w
ith v
iral
load
com
plet
ion
rate
at 1
2 m
onth
s (%
)
Adu
lt w
ith v
iral
load
sup
pres
sed
rate
12
mon
ths
(%)
Chi
ld w
ith v
iral
load
sup
pres
sed
rate
12
mon
ths
(%)
Adu
lt pe
rcen
tage
on
AR
T af
ter 1
2 m
onth
s (%
)
Chi
ld p
erce
ntag
e on
AR
T af
ter 1
2 m
onth
s (%
)C
lient
s re
mai
ning
on
AR
T ra
te (%
)
HIV
test
pos
itive
cl
ient
15
year
s an
d ol
der r
ate
(incl
udin
g A
NC
) (%
)
HIV
test
ing
cove
rage
(in
clud
ing
AN
C)
(%)
Mal
e co
ndom
di
strib
utio
n co
vera
ge (N
o)
Med
ical
mal
e ci
rcum
cisi
on ra
te
(per
1K)
2015
2015
2015
2015
2015
2015
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
Emfu
leni
SD
Indi
cato
r90
.888
.767
.346
.774
.377
.6 -
-56
.478
.19.
9
Num
erat
or -
180
-84
-22
5 -
-23
7 41
522
120
054
3 09
9
Den
omin
ator
7 73
920
37
024
180
11 0
6029
0 -
-5
050
989
3 39
7 45
53
737
976
Lese
di S
DIn
dica
tor
93.5
87.2
62.9
44.1
77.8
84.3
- -
45.8
54.9
14.2
Num
erat
or -
34 -
15 -
43 -
-26
474
2 26
5 01
364
4
Den
omin
ator
1 10
239
1 03
034
1 51
851
- -
694
302
494
844
542
526
Mid
vaal
SD
Indi
cato
r94
.210
0.0
73.1
75.0
71.6
69.2
- -
97.6
51.2
52.6
Num
erat
or -
24 -
18 -
27 -
-54
566
2 13
2 80
02
372
Den
omin
ator
1 09
524
1 03
124
1 60
039
- -
670
932
499
416
541
605
Sedi
beng
In
dica
tor
91.4
89.5
67.4
49.2
74.4
77.6
41.4
8.5
59.6
72.5
15.2
Num
erat
or -
238
-11
7 -
295
69 8
5429
092
318
455
26 5
17 8
676
115
Den
omin
ator
9 93
626
69
085
238
14 1
7838
016
8 67
234
2 69
36
416
223
4 39
1 71
54
822
107
Gau
teng
Indi
cato
r72
.670
.175
.554
.372
.181
.445
.610
.329
.736
.619
.3
Sout
h Af
rica
Indi
cato
r -
- -
- -
-55
.08.
235
.947
.519
.0
Sour
ce:
DH
IS.
Annual trends
2009 2010 2011 2012 2013 2014 2015 2016Year
5_TB
1_Im
pact
TB death rate(ETR.net)
TB DR clientdeath rate(EDRWeb)
2_O
utco
me
TB client lost tofollow up rate(ETR.Net)
TB clienttreatmentsuccess rate(ETR.net)
TB DR clientloss to follow uprate (EDRWeb)
TB DRtreatmentsuccess rate(EDRWeb)
TB Rifampicinresistanceconfirmed clientrate
TB/HIVco-infectedclient on ARTrate (ETR.Net)
4_P
roce
ss_i
nput
TB symptom 5years and olderscreened infacility rate
5
10
15
0
20
40
60
0
5
10
15
40
60
80
0
20
40
0
20
40
60
0
10
20
0
50
100
0
50
100
GP, DC42, Sedibeng District Municipality, SEQ 5 (least deprived)
Measure NamesIndValueProv_avZA_av
Meas ure NamesIndV alue
P rov_av
ZA_av
384
Section B: National and District Profiles
384
Section B: Profile Gauteng Province
TB
Im
pact
Out
com
eO
utpu
tPr
oces
s &
inpu
t
TB d
eath
rate
(E
TR.n
et) (
%)
TB D
R cl
ient
de
ath
rate
(E
DR
Web
) (%
)
TB c
lient
loss
to
follo
w u
p ra
te
(ETR
.Net
) (%
)
TB c
lient
tr
eatm
ent
succ
ess
rate
(E
TR.n
et) (
%)
TB D
R cl
ient
loss
to
follo
w u
p ra
te
(ED
RW
eb) (
%)
TB D
R tr
eatm
ent
succ
ess
rate
(E
DR
Web
) (%
)
TB R
ifam
pici
n re
sist
ance
co
nfirm
ed c
lient
ra
te (%
)
TB R
ifam
pici
n re
sist
ant c
lient
s tr
eatm
ent
initi
atio
n ra
te (%
)
TB/H
IV c
o-in
fect
ed c
lient
on
AR
T ra
te (E
TR.
Net
) (%
)
TB c
lient
initi
ated
on
trea
tmen
t ra
te (%
)
TB s
ympt
om 5
ye
ars
and
olde
r sc
reen
ed in
fa
cilit
y ra
te (%
)
2015
2014
2015
2015
2014
2014
2016
2016
2016
2016
2016
/17
Emfu
leni
SD
Indi
cato
r9.
6 -
7.3
80.6
- -
- -
92.2
-10
0.8
Num
erat
or28
3 -
215
2 37
9 -
- -
-1
483
-1
167
607
Den
omin
ator
2 95
0 -
2 95
02
950
- -
- -
1 60
8 -
1 15
8 80
3
Lese
di S
DIn
dica
tor
9.0
-7.
977
.6 -
- -
-97
.5 -
85.8
Num
erat
or41
-36
354
- -
- -
238
-12
8 82
3
Den
omin
ator
456
-45
645
6 -
- -
-24
4 -
150
150
Mid
vaal
SD
Indi
cato
r9.
7 -
8.3
76.4
- -
- -
95.6
-98
.2
Num
erat
or28
-24
220
- -
- -
152
-15
5 63
4
Den
omin
ator
288
-28
828
8 -
- -
-15
9 -
158
515
Sedi
beng
In
dica
tor
9.5
22.2
7.4
79.9
16.3
51.1
5.0
52.2
93.1
79.4
99.0
Num
erat
or35
230
275
2 95
322
6915
983
1 87
32
528
1 45
2 06
4
Den
omin
ator
3 69
413
53
694
3 69
413
513
53
184
159
2 01
13
184
1 46
7 46
8
Gau
teng
Indi
cato
r6.
320
.25.
984
.915
.955
.65.
755
.690
.380
.071
.9
Sout
h Af
rica
Indi
cato
r6.
623
.06.
481
.017
.950
.56.
268
.088
.372
.851
.6
Sour
ce:
DH
IS.
Annual trends
2010 2011 2012 2013 2014 2015 2016 2017Year
6_NCDs
2_Outcome
Diabetesincidence
Hypertensionincidence
0
5
20
40
GP, DC42, Sedibeng District Municipality, SEQ 5 (least deprived)
Measure NamesIndValueProv_avZA_av
Section B: National and District Profiles
385
Section B: Profile Gauteng Province
385
Non-communicable diseases
Outcome
Diabetes incidence
(per1K)
Hypertension incidence
(per1K)
2016/17 2016/17
Emfuleni SD Indicator 2.9 22.7
Numerator 2 106 5 654
Denominator 8 842 704 2 994 720
Lesedi SD Indicator 2.2 29.2
Numerator 221 1 014
Denominator 1 222 752 416 220
Midvaal SD Indicator 12.0 24.3
Numerator 1 191 916
Denominator 1 186 128 451 932
Sedibeng Indicator 3.8 23.6
Numerator 3 518 7 584
Denominator 11 251 584 3 862 872
Gauteng Indicator 3.2 19.8
South Africa Indicator 2.5 18.9
Source: DHIS.
Annual trends
Sub-district value in red – improvement strategies are urgently needed
Value highlighted in yellow – performance is ranked among the 10 best in the country
Value highlighted in red – performance is ranked among the 10 worst in the country
386
Section B: National and District Profiles
386
Section B: Profile Gauteng Province
West Rand District Municipality (DC48)
West Rand District is located in the western part of Gauteng Province and is divided into four health sub-districts, namely Merafong City, Mogale City, Randfontein and Westonaria. It has a population of 884 031, with a population density is 216.3 persons per km2 and falls in socio-economic Quintile 4, among the wealthier districts. Estimated medical scheme coverage is 23.3%.
Social determinants of healtha
Unemployment ratea 26.3%
Youth unemployment rate (15-34 years)a 35.2%
No schooling 3.8%
Matric 34.7%
Higher education 10.1%
Households 330 572
Female-headed households 31.7%
Formal dwellings 76.3%
Flush toilet connected to sewerage 80.1%
Weekly refuse removal 79.3%
Piped water inside dwellings 55.5%
Electricity for lighting 83.5%
Blue Drop water score 87.8%
Source: StatsSA. 2014 Blue Drop Report.
Population distribution sub-district boundaries and health facility locations
a Statistics South Africa. Census 2011 Municipal fact sheet. Report No. 03-01-58. Pretoria: Statistics SA; 2012.
Population per selected category
Population category 2017 2018 2019 2020
under 1 year 17 337 17 599 17 454 16 971
under 5 years 81 237 82 284 82 597 82 290
05-09 years 73 912 74 357 75 242 76 534
10-14 years 72 302 72 594 72 663 72 649
15-19 years 69 562 70 697 71 390 71 715
20-24 years 71 720 72 413 73 321 74 205
25-29 years 77 027 76 619 76 548 76 890
30-34 years 66 647 69 179 72 112 75 192
35-39 years 62 480 61 755 60 837 59 964
40-44 years 59 270 58 784 58 294 57 792
45-49 years 56 992 56 371 55 762 55 163
50-54 years 53 741 53 597 53 221 52 663
55-59 years 47 093 47 737 48 123 48 318
60-64 years 35 082 36 908 38 612 40 053
65-69 years 22 352 23 820 25 339 26 892
70-74 years 12 793 13 581 14 482 15 520
75-79 years 5 990 6 563 7 105 7 623
80 years and older 2 468 2 540 2 618 2 698
Total 870 669 879 799 888 265 896 159
Estimated pregnant women* 18 551 18 831 18 676 18 159
Source: Mid-Year Population Estimates 2016 StatsSA. * Under 1 year population X 1.07.
Section B: National and District Profiles
387
Section B: Profile Gauteng Province
387
Number of facilities by level, 2016/17
Ward based outreach
teams Clinic CHCDistrict Hospital
Regional Hospital
Central/Tertiary
HospitalsOther
Hospitals
Merafong City SD 28 13 1 1 0 0 3
Mogale City SD 25 18 0 1 1 0 4
Randfontein SD 24 7 1 0 0 0 1
Westonaria SD 16 7 1 0 0 0 1
West Rand 93 45 3 2 1 0 9
Source: DHIS.
Human resources – filled posts, 2016
Community Health
WorkersNursing
assistantsEnrolled
nurseProfessional
nurseMedical
practitioners PharmacistsDental
practitionersOccupational
therapy Physiotherapy
Speech Therapy and Audiology
West Rand 874 586 590 1 106 269 100 11 23 16 9
Source: Persal, DHIS.
Management and efficiency indicators for the service delivery platform, 2016/17
PHC Management
Output Process & input
PHC utilisation rate (No)
Percentage Ideal clinics
(%)
Percentage of assessed PHC facilities with 90% of tracer
medicines available (%)
Provincial and LG
District Health Services
expenditure per capita
(uninsured) (Rand)
Provincial and LG PHC expenditure per capita
(uninsured) (Rand)
Provincial and LG PHC expenditure
per PHC headcount
(Rand)
2016/17 2016/17 2016/17 2016/17 2016/17 2016/17
Indicator 2.0 - - - - -
Numerator 434 554 - - - - -
Denominator 2 552 307 - - - - -
Indicator 1.8 - - - - -
Numerator 709 683 - - - - -
Denominator 4 705 845 - - - - -
Indicator 1.7 - - - - -
Numerator 283 990 - - - - -
Denominator 1 963 827 - - - - -
Indicator 2.5 - - - - -
Numerator 295 924 - - - - -
Denominator 1 421 553 - - - - -
Indicator 1.9 18.8 97.7 2 025 1 318 518
Numerator 1 724 151 9 43 1 372 824 022 893 598 760 893 598 760
Denominator 10 643 532 48 44 677 941 677 941 1 724 151
Indicator 1.6 58.1 93.7 1 414 1 106 503
Indicator 2.3 29.8 78.4 1 726 1 054 389
Source: DHIS.
2008 2010 2012 2014 2016 2018Year
1_M
anag
emen
t
1_Im
pact
Inpatient crudedeath rate
2_O
utco
me
Average lengthof stay (districthospitals)
Expenditure perpatient dayequivalent(districthospitals)
3_O
utpu
t
Inpatient bedutilisation rate(districthospitals)
OPD new clientnot referred rate(districthospitals)
4_P
roce
ss_i
nput
PercentageIdeal clinics
Provincial andLG DistrictHealth Servicesexpenditure percapita(uninsured)
Provincial andLG PHCexpenditure percapita(uninsured)
Provincial andLG PHCexpenditure perPHC headcount
2
4
6
8
2
4
6
8
1K
2K
3K
4K
50
100
0
50
100
0
50
100
1K
2K
3K
500
1000
1500
200
400
GP, DC48, West Rand District Municipality, SEQ 4 (well off)
Measure NamesIndValueProv_avZA_av
Meas ure NamesIndV alue
P rov_av
ZA_av
388
Section B: National and District Profiles
388
Section B: Profile Gauteng Province
Hos
pita
l
Dis
tric
t Hos
pita
lR
egio
nal H
ospi
tal
Tert
iary
/Cen
tral
Hos
pita
l
Aver
age
leng
th o
f st
ay -
tota
l (D
ays)
Expe
nditu
re
per p
atie
nt
day
equi
vale
nt
(Ran
d)
Inpa
tient
bed
ut
ilisa
tion
rate
- to
tal
(%)
Inpa
tient
cr
ude
deat
h ra
te (%
)
OPD
new
cl
ient
not
re
ferr
ed ra
te
(%)
Aver
age
leng
th o
f st
ay -
tota
l (D
ays)
Expe
nditu
re
per p
atie
nt
day
equi
vale
nt
(Ran
d)
Inpa
tient
bed
ut
ilisa
tion
rate
- to
tal
(%)
Inpa
tient
cr
ude
deat
h ra
te (%
)
OPD
new
cl
ient
not
re
ferr
ed ra
te
(%)
Aver
age
leng
th o
f st
ay -
tota
l (D
ays)
Expe
nditu
re
per p
atie
nt
day
equi
vale
nt
(Ran
d)
Inpa
tient
bed
ut
ilisa
tion
rate
- to
tal
(%)
Inpa
tient
cr
ude
deat
h ra
te (%
)
OPD
new
cl
ient
not
re
ferr
ed ra
te
(%)
Mer
afon
g C
ity S
DIn
dica
tor
4.9
3 24
860
.35.
046
.5 -
- -
- -
- -
- -
-
Num
erat
or52
048
191
499
354
52 0
4853
33
233
- -
- -
- -
- -
- -
Den
omin
ator
10 6
7758
956
86 2
7110
677
6 95
0 -
- -
- -
- -
- -
-
Mog
ale
City
SD
Indi
cato
r4.
03
441
53.7
4.5
79.3
6.4
2 17
481
.26.
411
.9 -
- -
- -
Num
erat
or52
583
233
666
165
52 5
8359
813
994
249
036
761
173
738
249
036
2 50
215
221
- -
- -
-
Den
omin
ator
13 3
1067
905
97 8
3113
310
17 6
4839
166
350
162
306
786
39 1
6612
7 76
1 -
- -
- -
Wes
t Ran
d In
dica
tor
4.4
3 35
156
.84.
770
.06.
42
174
81.2
6.4
11.9
- -
- -
-
Num
erat
or10
4 63
142
5 16
5 51
910
4 63
11
131
17 2
2724
9 03
676
1 17
3 73
824
9 03
62
502
15 2
21 -
- -
- -
Den
omin
ator
23 9
8712
6 86
218
4 10
223
987
24 5
9839
166
350
162
306
786
39 1
6612
7 76
1 -
- -
- -
Gau
teng
Indi
cato
r4.
42
902
65.1
4.4
52.5
5.1
2 87
581
.65.
128
.47.
23
657
81.5
6.0
20.5
Sout
h Af
rica
Indi
cato
r4.
42
568
67.4
5.1
59.3
5.3
2 89
478
.35.
037
.26.
94
227
84.3
5.4
20.3
Sour
ce:
DH
IS a
nd B
AS.
Annual trends
Section B: National and District Profiles
389
Section B: Profile Gauteng Province
389
Deaths and Patient day equivalent 2014/15 – 2016/17
Dat
a El
emen
t(N
umbe
r)
2014
/15
2015
/16
2016
/17
PHC
/ CH
C / M
OU
*D
istr
ict
Hos
pita
lR
egio
nal
Hos
pita
l
Cen
tral
/te
rtia
ry
Hos
pita
lD
istr
ict
Tota
lPH
C / C
HC
/ MO
UD
istr
ict
Hos
pita
lR
egio
nal
Hos
pita
l
Cen
tral
/te
rtia
ry
Hos
pita
lD
istr
ict
Tota
lPH
C / C
HC
/ MO
UD
istr
ict
Hos
pita
lR
egio
nal
Hos
pita
l
Cen
tral
/te
rtia
ry
hosp
ital
Dis
tric
t To
tal
Mat
erna
l dea
ths
-4
16-
20-
59
-14
-3
14-
17
Live
birt
hs2
173
7 10
96
275
-15
557
1 97
86
876
5 74
0-
14 5
942
086
7 09
45
559
-14
739
Still
birth
s8
9112
0-
219
810
510
4-
217
1098
108
-21
6
Child (under 5 years)
Infant (under 1
year)
Neo-natal
Dea
th in
faci
lity
0-7d
ays
238
44-
8415
4561
-12
14
4498
-14
6
Dea
th in
faci
lity
8-28
day
s -
55
-10
-2
5-
7-
148
-49
Dea
th in
faci
lity
29 d
ays
- 11
mon
ths
-34
49-
83-
1835
-53
-14
35-
49
Dea
th in
faci
lity
12 –
59
mon
ths
-17
24-
41-
1915
-34
-14
42-
56
Dia
rrho
ea d
eath
und
er 5
yea
rs
-5
5-
10-
11
-2
-5
11-
16
Pneu
mon
ia d
eath
und
er 5
yea
rs-
66
-12
-5
4-
9-
811
-19
Seve
re a
cute
mal
nutri
tion
deat
h un
der 5
yea
rs
-6
13-
19-
17
-8
-7
13-
20
TB D
eath
s 61
239
2-
-1
004
520
292
--
812
--
--
-
Inpa
tient
dea
th to
tal
-1
295
2 83
9-
4 13
415
1 25
22
700
-3
967
91
131
2 50
2-
3 64
2
Patie
nt d
ay e
quiv
alen
t-
133
332
351
012
-48
4 34
42
210
124
287
353
969
-48
0 46
62
197
126
861
350
162
-47
9 22
0
Sour
ce:
DH
IS. *
MO
U –
Mat
erna
l Obs
tetr
ic U
nit.
AgeGroup.. Female Male<5 years
5-1415-2425-64
65+Total 22%
13%21%
27%25%
71%
20%2%
32%36%
20%10%
52%82%
41%18%
26%12%
6%3%
7%19%
29%7%
19%11%
17%11%
23%68%
20%4%
29%10%
16%8%
43%81%
35%15%
23%16%
17%4%
20%65%
38%7%
GP, West Rand: DC48, 2010 - 2015
Rank.. Female Male
<5 y
ears
12345678910
5-14
12345678910
15-2
4
12345678910
25-6
4
12345678910
65+
12345678910
Congenital heart anomalies (2.2%)
Other perinatal conditions (3.3%)
Sepsis/other newborn infectious (5.4%)Birth asphyxia (7.4%)
Protein-energy malnutrition (4.2%)
Preterm birth complications (12.0%)
Septicaemia (2.7%)
Diarrhoeal diseases (16.3%)Lower respiratory infections (17.8%)
HIV/AIDS (8.4%)
Other unintentional injuries (3.8%)
Fires, hot substances (5.2%)
Endocrine nutritional,blood, immune (3.9%)Meningitis/encephalitis (3.9%)
Accidental threats to breathing (8.3%)Road injuries (7.3%)Diarrhoeal diseases (6.8%)
Lower respiratory infections (11.5%)
Tuberculosis (12.4%)HIV/AIDS (11.6%)
Fires, hot substances (2.6%)Endocrine nutritional,blood, immune (2.7%)
Meningitis/encephalitis (5.1%)Accidental threats to breathing (7.0%)
Interpersonal violence (4.2%)
Road injuries (2.4%)
Diarrhoeal diseases (4.5%)
Lower respiratory infections (12.3%)Tuberculosis (17.3%)
HIV/AIDS (20.4%)
Breast (2.5%)Endocrine nutritional,blood, immune (2.5%)Hypertensive heart disease (2.5%)
Diabetes mellitus (3.2%)
Diarrhoeal diseases (3.9%)Ischaemic heart disease (3.9%)
Cerebrovascular disease (5.2%)Lower respiratory infections (11.1%)
Tuberculosis (14.2%)HIV/AIDS (17.9%)
Alzheimer’s and other dementias (2.9%)Breast (2.7%)
COPD (4.4%)Nephritis/nephrosis (4.1%)
Hypertensive heart disease (8.1%)
Diabetes mellitus (5.0%)
Diarrhoeal diseases (2.6%)
Ischaemic heart disease (15.5%)Cerebrovascular disease (12.4%)
Lower respiratory infections (7.6%)
Other congenital abnormalities (2.4%)Congenital heart anomalies (2.4%)
Other perinatal conditions (3.8%)Sepsis/other newborn infectious (3.9%)
Birth asphyxia (7.6%)
Protein-energy malnutrition (3.7%)
Preterm birth complications (12.7%)
Diarrhoeal diseases (16.5%)Lower respiratory infections (15.8%)
HIV/AIDS (7.4%)
Other unintentional injuries (5.7%)Leukaemia (4.1%)
Drowning (11.8%)
Fires, hot substances (6.1%)
Accidental threats to breathing (7.1%)Road injuries (7.1%)
Diarrhoeal diseases (6.1%)
Lower respiratory infections (11.8%)
Tuberculosis (7.4%)HIV/AIDS (11.1%)
Drowning (2.1%)
Fires, hot substances (4.2%)
Meningitis/encephalitis (2.5%)
Mechanical forces (11.5%)Accidental threats to breathing (14.2%)
Interpersonal violence (22.6%)
Road injuries (7.8%)
Lower respiratory infections (5.9%)Tuberculosis (6.0%)
HIV/AIDS (3.8%)
Mechanical forces (5.2%)Accidental threats to breathing (4.2%)Interpersonal violence (3.9%)
Road injuries (3.6%)Diarrhoeal diseases (2.8%)
Ischaemic heart disease (6.2%)
Cerebrovascular disease (3.8%)
Lower respiratory infections (9.7%)
Tuberculosis (15.1%)HIV/AIDS (14.1%)
Prostate (4.9%)
Trachea/bronchi/lung (3.0%)
COPD (7.6%)
Nephritis/nephrosis (3.6%)
Hypertensive heart disease (4.3%)Diabetes mellitus (3.9%)
Ischaemic heart disease (18.0%)Cerebrovascular disease (8.3%)Lower respiratory infections (7.7%)
Tuberculosis (2.9%)
Rank.. Maternal conditions All other causes
Fem
ale
15-4
9
12345678910
Abortion (8.0%) n=12Maternal haemorrhage (13.5%) n=21
Hypertension in pregnancy (19.7%) n=30Other maternal (19.9%) n=30
Indirect maternal (38.9%) n=60
Accidental threats to breathing (2.1%) n=201Endocrine nutritional,blood, immune (2.5%) n=231
Road injuries (1.8%) n=167Cervix (1.9%) n=178
Cerebrovascular disease (2.7%) n=251Meningitis/encephalitis (3.2%) n=296Diarrhoeal diseases (4.5%) n=422
Lower respiratory infections (13.2%) n=1 234Tuberculosis (17.9%) n=1 679
HIV/AIDS (23.2%) n=2 175
Percentage ofdeaths by broad
causes andsingle leading
causes
BroadcauseInjury
NCD
HIV and TB
Comm_mat_peri_nut
Prov, DistrictGP, West Rand: DC48
Show history
Percentages are shownaccording to all the deaths
within the age/gendercategory of each box,
although only the leading10 causes are displayed.
390
Section B: National and District Profiles
390
Section B: Profile Gauteng Province
Burden of disease profile
For the percentage of deaths by broad cause, deaths are classified into four groups namely: (i) injuries; (ii) non-communicable diseases; (iii) HIV and TB; and (iv) communicable diseases together with maternal perinatal and nutritional conditions. Data are given by gender and age group for the period 2010–2015. The second part of the graph shows the 10 leading single causes of death within each age group (both genders) for 2010–2015 combined.
Percentage of deaths by broad cause and leading causes 2010–2015
2009 2010 2011 2012 2013 2014 2015 2016Year
2_M
ater
nal a
nd w
omen
's h
ealth
1_Im
pact Maternal
mortality infacility ratio
2_O
utco
me
Antenatal 1stvisit before 20weeks rate
Couple yearprotection rate(WHO)
Delivery infacility under 18years rate
Motherpostnatal visitwithin 6 daysrate
3_O
utpu
t
Antenatal clientinitiated on ARTrate
Cervical cancerscreeningcoverage
0
200
400
600
800
20
40
60
80
100
200
5
10
15
0
100
200
50
100
150
200
50
100
150
GP, DC48, West Rand District Municipality, SEQ 4 (well off)
Measure NamesIndValueProv_avZA_av
Section B: National and District Profiles
391
Section B: Profile Gauteng Province
391
Maternal and Women’s Health
Impact Outcome Output
Maternal mortality in facility ratio (per100K)
Antenatal client initiated
on ART rate (%)
Delivery in facility under 18 years rate
(%)
Antenatal 1st visit before 20 weeks rate (%)
Cervical cancer
screening coverage (%)
Couple year protection rate
(WHO) (%)
Mother postnatal visit within 6 days
rate (%)
2016/17 2016/17 2016/17 2016/17 2016/17 2016/17 2016/17
Merafong City SD Indicator 70.7 99.6 5.7 70.1 71.4 36.3 81.8
Numerator 2 750 164 2 524 - 21 820 2 356
Denominator 2 830 753 2 881 3 603 59 206 720 702 2 881
Mogale City SD Indicator 144.7 96.8 5.1 61.9 57.4 70.3 34.2
Numerator 15 1 244 531 4 578 6 067 81 314 3 538
Denominator 10 364 1 285 10 336 7 393 126 837 1 388 256 10 336
Randfontein SD Indicator - 100.0 2.2 72.0 39.1 92.6 172.9
Numerator - 330 15 1 594 1 772 43 669 1 198
Denominator 691 330 693 2 213 54 370 565 662 693
Westonaria SD Indicator - 100.4 4.0 67.5 44.3 169.4 132.4
Numerator - 505 34 1 752 1 130 58 332 1 136
Denominator 854 503 858 2 596 30 607 413 265 858
West Rand Indicator 115.3 98.5 5.0 66.1 55.3 79.7 55.7
Numerator 17 2 829 744 10 448 12 494 205 136 8 228
Denominator 14 739 2 871 14 768 15 805 271 020 3 087 885 14 768
Gauteng Indicator 119.2 94.8 4.7 58.4 50.3 58.1 85.9
South Africa Indicator 116.9 95.1 6.8 65.2 61.5 70.2 70.3
Source: DHIS.
Annual trends
2009 2010 2011 2012 2013 2014 2015 2016Year
3_C
hild
and
sch
ool h
ealth
1_Im
pact
Child under 5years diarrhoeacase fatality rate
Child under 5yearspneumoniacase fatality rate
Child under 5years severeacutemalnutritioncase fatality rate
Inpatient earlyneonatal deathrate
3_O
utpu
t
Immunisationcoverage under1 year
Infantexclusivelybreastfed atDTaP-IPV-Hib-HBV 3rd doserate
Measles 2nddose coverage
School Grade 1screeningcoverage
0
50
100
0
10
20
30
0
20
40
60
0
10
20
50
100
150
20
40
60
80
50
100
150
0
50
100
GP, DC48, West Rand District Municipality, SEQ 4 (well off)
Measure NamesIndValueProv_avZA_av
Meas ure NamesIndV alue
P rov_av
ZA_av
392
Section B: National and District Profiles
392
Section B: Profile Gauteng Province
Child and School Health Annual trends
Im
pact
Out
com
eO
utpu
t
Chi
ld u
nder
5
year
s di
arrh
oea
case
fata
lity
rate
(%)
Chi
ld u
nder
5
year
s pn
eum
onia
ca
se fa
talit
y ra
te (%
)
Chi
ld u
nder
5
year
s se
vere
acu
te
mal
nutr
ition
ca
se fa
talit
y ra
te (%
)
Inpa
tient
de
ath
unde
r 1
year
rate
(%)
Inpa
tient
de
ath
unde
r 5
year
rate
(%)
Inpa
tient
ea
rly n
eona
tal
deat
h ra
te
(per
1K)
Inpa
tient
ne
onat
al
deat
h ra
te
(per
1K)
Infa
nt P
CR
test
pos
itive
ar
ound
10
wee
ks ra
te
(%)
Imm
unis
atio
n co
vera
ge
unde
r 1 y
ear
(%)
Infa
nt
excl
usiv
ely
brea
stfe
d at
D
TaP-
IPV-
Hib
-HB
V 3rd
do
se ra
te (%
)
Mea
sles
2nd
dos
e co
vera
ge (%
)
Scho
ol G
rade
1
scre
enin
g co
vera
ge (%
)
Scho
ol G
rade
8
scre
enin
g co
vera
ge (%
)
Vita
min
A
dose
12-
59
mon
ths
cove
rage
(%)
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
Mer
afon
g C
ity S
DIn
dica
tor
3.2
4.1
6.3
7.0
4.0
8.8
8.8
3.8
90.0
65.5
109.
162
.540
.869
.8
Num
erat
or3
41
3040
2525
262
695
1 93
43
310
2 16
11
162
16 9
96
Den
omin
ator
9397
1642
899
22
830
2 83
069
235
949
2 95
136
393
3 45
92
848
292
128
Mog
ale
City
SD
Indi
cato
r3.
22.
011
.012
.09.
911
.616
.34.
110
9.1
48.9
113.
367
.445
.763
.9
Num
erat
or13
1519
213
259
120
169
635
548
3 34
05
994
4 32
02
467
27 8
85
Den
omin
ator
406
742
172
1 78
12
604
10 3
6410
364
1 53
260
999
6 83
763
507
6 41
25
398
523
662
Ran
dfon
tein
SD
Indi
cato
r -
- -
- -
- -
0.8
120.
058
.413
1.4
85.5
115.
568
.4
Num
erat
or -
- -
- -
- -
32
517
1 55
72
850
2 32
82
520
12 2
94
Den
omin
ator
- -
- -
- 69
169
137
625
164
2 66
626
034
2 72
22
182
215
802
Wes
tona
ria S
DIn
dica
tor
- -
-10
0.0
100.
01.
21.
20.
795
.861
.110
6.5
129.
094
.674
.4
Num
erat
or -
- -
11
11
41
763
1 16
91
937
2 33
71
201
10 5
90
Den
omin
ator
- -
-1
185
485
456
122
083
1 91
321
822
1 81
21
270
170
844
Wes
t Ran
d In
dica
tor
3.2
2.3
10.6
11.0
8.3
9.9
13.2
3.0
104.
255
.711
4.4
77.4
62.8
67.6
Num
erat
or16
1920
244
300
146
195
9612
523
8 00
014
091
11 1
467
350
67 7
65
Den
omin
ator
499
839
188
2 21
03
597
14 7
3914
739
3 16
114
4 19
514
367
147
756
172
860
140
376
1 20
2 43
6
Gau
teng
Indi
cato
r1.
71.
56.
59.
76.
710
.013
.61.
796
.744
.010
5.7
49.5
35.4
61.5
Sout
h Af
rica
Indi
cato
r2.
02.
08.
06.
34.
49.
912
.41.
382
.341
.696
.233
.019
.858
.0
Sour
ce:
DH
IS.
2009 2010 2011 2012 2013 2014 2015 2016Year
4_H
IV
4_P
roce
ss_i
nput
HIV testingcoverage(including ANC)
Male condomdistributioncoverage
Medical malecircumcisionrate
20
40
60
100
200
0
20
40
6080
GP, DC48, West Rand District Municipality, SEQ 4 (well off)
Measure NamesIndValueProv_avZA_av
Meas ure NamesIndV alue
P rov_av
ZA_av
Section B: National and District Profiles
393
Section B: Profile Gauteng Province
393
HIV
3rd 9
0-90
-90
2nd 9
0-90
-90
1st 90
-90-
90
Out
com
eO
utpu
tPr
oces
s &
inpu
t
Adu
lt w
ith v
iral
load
com
plet
ion
rate
at 1
2 m
onth
s (%
)
Chi
ld w
ith v
iral
load
com
plet
ion
rate
at 1
2 m
onth
s (%
)
Adu
lt w
ith v
iral
load
sup
pres
sed
rate
12
mon
ths
(%)
Chi
ld w
ith v
iral
load
sup
pres
sed
rate
12
mon
ths
(%)
Adu
lt pe
rcen
tage
on
AR
T af
ter 1
2 m
onth
s (%
)
Chi
ld p
erce
ntag
e on
AR
T af
ter 1
2 m
onth
s (%
)C
lient
s re
mai
ning
on
AR
T ra
te (%
)
HIV
test
pos
itive
cl
ient
15
year
s an
d ol
der r
ate
(incl
udin
g A
NC
) (%
)
HIV
test
ing
cove
rage
(in
clud
ing
AN
C)
(%)
Mal
e co
ndom
di
strib
utio
n co
vera
ge (N
o)
Med
ical
mal
e ci
rcum
cisi
on ra
te
(per
1K)
2015
2015
2015
2015
2015
2015
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
Mer
afon
g C
ity S
DIn
dica
tor
73.1
66.7
74.0
47.4
73.4
71.4
- -
34.1
18.2
8.6
Num
erat
or -
38 -
18 -
50 -
-42
909
1 61
9 27
083
2
Den
omin
ator
2 26
057
1 65
238
3 33
170
- -
1 50
9 61
51
069
368
1 16
3 10
0
Mog
ale
City
SD
Indi
cato
r75
.875
.762
.137
.772
.665
.3 -
-31
.948
.537
.2
Num
erat
or -
53 -
20 -
32 -
-72
011
7 32
5 69
66
139
Den
omin
ator
3 36
370
2 54
953
4 78
849
- -
2 70
8 94
31
813
185
1 98
2 28
9
Ran
dfon
tein
SD
Indi
cato
r71
.489
.267
.930
.374
.360
.0 -
-57
.270
.619
.5
Num
erat
or -
33 -
10 -
9 -
-51
301
4 33
3 90
01
317
Den
omin
ator
1 23
437
881
331
720
15 -
-1
076
706
736
674
812
478
Wes
tona
ria S
DIn
dica
tor
60.3
14.3
76.3
100.
076
.925
.0 -
-53
.612
2.7
40.2
Num
erat
or -
2 -
2 -
2 -
-39
159
6 13
7 23
72
181
Den
omin
ator
650
1439
22
861
8 -
-87
6 50
760
0 21
365
1 68
1
Wes
t Ran
d In
dica
tor
72.9
70.8
67.6
39.7
73.5
65.5
58.9
8.3
39.9
55.2
27.3
Num
erat
or -
126
-50
-93
65 2
1018
433
205
380
19 4
16 1
0310
469
Den
omin
ator
7 50
717
85
474
126
10 7
0014
211
0 66
222
3 39
06
171
771
4 21
9 44
04
609
548
Gau
teng
Indi
cato
r72
.670
.175
.554
.372
.181
.445
.610
.329
.736
.619
.3
Sout
h Af
rica
Indi
cato
r -
- -
- -
- 55
.08.
235
.947
.519
.0
Sour
ce:
DH
IS.
Annual trends
2009 2010 2011 2012 2013 2014 2015 2016Year
5_TB
1_Im
pact
TB death rate(ETR.net)
TB DR clientdeath rate(EDRWeb)
2_O
utco
me
TB client lost tofollow up rate(ETR.Net)
TB clienttreatmentsuccess rate(ETR.net)
TB DR clientloss to follow uprate (EDRWeb)
TB DRtreatmentsuccess rate(EDRWeb)
TB Rifampicinresistanceconfirmed clientrate
TB/HIVco-infectedclient on ARTrate (ETR.Net)
4_P
roce
ss_i
nput
TB symptom 5years and olderscreened infacility rate
5
10
15
0
20
40
60
0
5
10
15
40
60
80
0
20
40
0
20
40
60
0
10
20
0
50
100
0
50
100
GP, DC48, West Rand District Municipality, SEQ 4 (well off)
Measure NamesIndValueProv_avZA_av
Meas ure NamesIndV alue
P rov_av
ZA_av
394
Section B: National and District Profiles
394
Section B: Profile Gauteng Province
TB
Im
pact
Out
com
eO
utpu
tPr
oces
s &
inpu
t
TB d
eath
rate
(E
TR.n
et) (
%)
TB D
R cl
ient
de
ath
rate
(E
DR
Web
) (%
)
TB c
lient
loss
to
follo
w u
p ra
te
(ETR
.Net
) (%
)
TB c
lient
tr
eatm
ent
succ
ess
rate
(E
TR.n
et) (
%)
TB D
R cl
ient
loss
to
follo
w u
p ra
te
(ED
RW
eb) (
%)
TB D
R tr
eatm
ent
succ
ess
rate
(E
DR
Web
) (%
)
TB R
ifam
pici
n re
sist
ance
co
nfirm
ed c
lient
ra
te (%
)
TB R
ifam
pici
n re
sist
ant c
lient
s tr
eatm
ent
initi
atio
n ra
te (%
)
TB/H
IV c
o-in
fect
ed c
lient
on
AR
T ra
te (E
TR.
Net
) (%
)
TB c
lient
initi
ated
on
trea
tmen
t ra
te (%
)
TB s
ympt
om 5
ye
ars
and
olde
r sc
reen
ed in
fa
cilit
y ra
te (%
)
2015
2014
2015
2015
2014
2014
2016
2016
2016
2016
2016
/17
Mer
afon
g C
ity S
DIn
dica
tor
6.9
-2.
586
.6 -
- -
-10
0.0
-11
0.1
Num
erat
or94
-34
1 17
2 -
- -
-61
5 -
392
304
Den
omin
ator
1 35
3 -
1 35
31
353
- -
- -
615
-35
6 20
5
Mog
ale
City
SD
Indi
cato
r7.
3 -
3.0
88.2
- -
- -
100.
0 -
102.
5
Num
erat
or89
-36
1 07
2 -
- -
-79
8 -
597
386
Den
omin
ator
1 21
6 -
1 21
61
216
- -
- -
798
-58
3 01
2
Ran
dfon
tein
SD
Indi
cato
r7.
4 -
2.1
89.1
- -
- -
100.
0 -
110.
7
Num
erat
or35
-10
424
- -
- -
258
-25
6 77
8
Den
omin
ator
476
-47
647
6 -
- -
-25
8 -
231
984
Wes
tona
ria S
DIn
dica
tor
4.8
-4.
678
.7 -
- -
-88
.8 -
95.3
Num
erat
or28
-27
458
- -
- -
254
-23
0 40
8
Den
omin
ator
582
-58
258
2 -
- -
-28
6 -
241
836
Wes
t Ran
d In
dica
tor
6.8
32.9
3.0
86.2
17.6
44.7
5.6
49.4
98.4
80.7
104.
5
Num
erat
or24
628
107
3 12
615
3816
883
1 92
52
430
1 47
6 87
6
Den
omin
ator
3 62
785
3 62
73
627
8585
3 01
216
81
957
3 01
21
413
037
Gau
teng
Indi
cato
r6.
320
.25.
984
.915
.955
.65.
755
.690
.380
.071
.9
Sout
h Af
rica
Indi
cato
r6.
623
.06.
481
.017
.950
.56.
268
.088
.372
.851
.6
Sour
ce:
DH
IS.
Annual trends
2010 2011 2012 2013 2014 2015 2016 2017Year
6_NCDs
2_Outcome
Diabetesincidence
Hypertensionincidence
0
5
20
40
GP, DC48, West Rand District Municipality, SEQ 4 (well off)
Measure NamesIndValueProv_avZA_av
Section B: National and District Profiles
395
Section B: Profile Gauteng Province
395
Non-communicable diseases
Outcome
Diabetes incidence
(per1K)
Hypertension incidence
(per1K)
2016/17 2016/17
Merafong City SD Indicator 1.2 15.1
Numerator 263 1 162
Denominator 2 552 307 925 020
Mogale City SD Indicator 4.0 15.6
Numerator 1 562 2 203
Denominator 4 705 845 1 693 065
Randfontein SD Indicator 1.4 12.7
Numerator 237 796
Denominator 1 963 827 752 430
Westonaria SD Indicator 1.6 16.5
Numerator 192 633
Denominator 1 421 553 461 283
West Rand Indicator 2.5 15.0
Numerator 2 254 4 794
Denominator 10 643 532 3 831 798
Gauteng Indicator 3.2 19.8
South Africa Indicator 2.5 18.9
Source: DHIS.
Annual trends
Sub-district value in red – improvement strategies are urgently needed
Value highlighted in yellow – performance is ranked among the 10 best in the country
Value highlighted in red – performance is ranked among the 10 worst in the country
396
Section B: National and District Profiles
396
Section B: Profile Gauteng Province
Ekurhuleni Metropolitan Municipality (EKU)
Ekurhuleni Metro in Gauteng Province has a population of 3 393 561, with a population density of 1 718 people per km2. It comprises six health sub-districts, namely Ekurhuleni E1 and E2, Ekurhuleni N1 and N2, and Ekurhuleni S1 and S2, and falls in socio-economic Quintile 5 among the wealthiest districts. Estimated medical scheme coverage is 24.8%.
Social determinants of healtha
Unemployment ratea 28.8%
Youth unemployment rate (15-34 years)a 36.9%
No schooling 4.1%
Matric 38.5%
Higher education 11.9%
Households 1 299 490
Female-headed households 32.8%
Formal dwellings 80.4%
Flush toilet connected to sewerage 85.4%
Weekly refuse removal 84.8%
Piped water inside dwellings 56.5%
Electricity for lighting 85.4%
Blue Drop water score 96.6%
Source: StatsSA. 2014 Blue Drop Report.
Population distribution sub-district boundaries and health facility locations
a Statistics South Africa. Census 2011 Municipal fact sheet. Report No. 03-01-58. Pretoria: Statistics SA; 2012.
Population per selected category
Population category 2017 2018 2019 2020
under 1 year 63 028 64 045 64 103 63 248
under 5 years 303 670 306 571 307 849 307 632
05-09 years 288 232 288 574 289 951 292 690
10-14 years 281 817 283 900 284 878 285 310
15-19 years 265 790 273 139 278 230 280 638
20-24 years 295 371 295 586 297 326 300 372
25-29 years 328 412 327 748 328 370 330 018
30-34 years 292 953 303 289 315 573 328 972
35-39 years 279 517 277 235 273 682 269 858
40-44 years 263 204 263 884 263 608 262 891
45-49 years 227 404 232 608 237 532 241 482
50-54 years 189 569 193 982 198 262 202 445
55-59 years 157 003 160 171 163 323 166 691
60-64 years 123 134 127 547 131 683 135 411
65-69 years 89 088 92 926 96 761 100 563
70-74 years 59 955 62 904 65 940 69 095
75-79 years 32 888 35 962 38 971 41 887
80 years and older 22 227 24 011 25 841 27 720
Total 3 500 231 3 550 039 3 597 781 3 643 679
Estimated pregnant women* 67 440 68 528 68 590 67 675
Source: Mid-Year Population Estimates 2016 StatsSA. * Under 1 year population X 1.07.
Section B: National and District Profiles
397
Section B: Profile Gauteng Province
397
Number of facilities by level, 2016/17
Ward based outreach
teams Clinic CHCDistrict Hospital
Regional Hospital
Central/Tertiary
HospitalsOther
Hospitals
Ekurhuleni E1 SD 14 12 1 0 1 0 2
Ekurhuleni E2 SD 16 14 2 0 1 0 5
Ekurhuleni N1 SD 28 11 0 0 0 1 1
Ekurhuleni N2 SD 19 15 1 0 1 0 6
Ekurhuleni S1 SD 11 15 1 1 1 0 6
Ekurhuleni S2 SD 11 17 2 0 0 0 0
Ekurhuleni 99 84 7 1 4 1 20
Source: DHIS.
Human resources – filled posts, 2016
Community Health
WorkersNursing
assistantsEnrolled
nurseProfessional
nurseMedical
practitioners PharmacistsDental
practitionersOccupational
therapy Physiotherapy
Speech Therapy and Audiology
Ekurhuleni 1 231 1 091 1 308 2 204 697 242 29 61 54 30
Source: Persal, DHIS.
Management and efficiency indicators for the service delivery platform, 2016/17
PHC Management
Output Process & input
PHC utilisation rate (No)
Percentage Ideal clinics
(%)
Percentage of assessed PHC facilities with 90% of tracer
medicines available (%)
Provincial and LG
District Health Services
expenditure per capita
(uninsured) (Rand)
Provincial and LG PHC expenditure per capita
(uninsured) (Rand)
Provincial and LG PHC expenditure
per PHC headcount
(Rand)
2016/17 2016/17 2016/17 2016/17 2016/17 2016/17
Ekurhuleni E1 SD Indicator 1.6 - - - - -
Numerator 946 088 - - - - -
Denominator 7 207 026 - - - - -
Ekurhuleni E2 SD Indicator 2.1 - - - - -
Numerator 773 642 - - - - -
Denominator 4 366 398 - - - - -
Ekurhuleni N1 SD Indicator 1.2 - - - - -
Numerator 792 193 - - - - -
Denominator 8 075 079 - - - - -
Ekurhuleni N2 SD Indicator 1.6 - - - - -
Numerator 943 159 - - - - -
Denominator 7 121 076 - - - - -
Ekurhuleni S1 SD Indicator 2.0 - - - - -
Numerator 1 149 586 - - - - -
Denominator 6 951 348 - - - - -
Ekurhuleni S2 SD Indicator 2.5 - - - - -
Numerator 1 507 419 - - - - -
Denominator 7 165 425 - - - - -
Ekurhuleni Indicator 1.8 81.7 95.6 1 348 1 213 507
Numerator 6 112 087 76 87 3 440 334 579 3 096 124 791 3 096 124 791
Denominator 40 886 352 93 91 2 552 722 2 552 722 6 112 087
Gauteng Indicator 1.6 58.1 93.7 1 414 1 106 503
South Africa Indicator 2.3 29.8 78.4 1 726 1 054 389
Source: DHIS.
398
Section B: National and District Profiles
398
Section B: Profile Gauteng Province
Hos
pita
l
Dis
tric
t Hos
pita
lR
egio
nal H
ospi
tal
Tert
iary
/Cen
tral
Hos
pita
l
Aver
age
leng
th o
f st
ay -
tota
l (D
ays)
Expe
nditu
re
per p
atie
nt
day
equi
vale
nt
(Ran
d)
Inpa
tient
bed
ut
ilisa
tion
rate
- to
tal
(%)
Inpa
tient
cr
ude
deat
h ra
te (%
)
OPD
new
cl
ient
not
re
ferr
ed ra
te
(%)
Aver
age
leng
th o
f st
ay -
tota
l (D
ays)
Expe
nditu
re
per p
atie
nt
day
equi
vale
nt
(Ran
d)
Inpa
tient
bed
ut
ilisa
tion
rate
- to
tal
(%)
Inpa
tient
cr
ude
deat
h ra
te (%
)
OPD
new
cl
ient
not
re
ferr
ed ra
te
(%)
Aver
age
leng
th o
f st
ay -
tota
l (D
ays)
Expe
nditu
re
per p
atie
nt
day
equi
vale
nt
(Ran
d)
Inpa
tient
bed
ut
ilisa
tion
rate
- to
tal
(%)
Inpa
tient
cr
ude
deat
h ra
te (%
)
OPD
new
cl
ient
not
re
ferr
ed ra
te
(%)
Ekur
hule
ni E
1 SD
Indi
cato
r -
- -
- -
4.8
2 89
484
.06.
241
.8 -
- -
- -
Num
erat
or -
- -
- -
135
883
497
086
128
135
883
1 73
012
575
- -
- -
-
Den
omin
ator
- -
- -
-28
108
171
775
161
713
28 1
0830
112
- -
- -
-
Ekur
hule
ni E
2 SD
Indi
cato
r -
- -
- -
3.3
3 44
383
.94.
831
.9 -
- -
- -
Num
erat
or -
- -
- -
118
270
541
646
623
118
270
1 70
68
323
- -
- -
-
Den
omin
ator
- -
- -
-35
859
157
305
140
905
35 8
5926
085
- -
- -
-
Ekur
hule
ni N
1 SD
Indi
cato
r -
- -
- -
- -
- -
-5.
22
645
86.7
4.9
45.5
Num
erat
or -
- -
- -
- -
- -
-26
8 43
798
0 22
6 40
626
8 43
72
548
24 0
20
Den
omin
ator
- -
- -
- -
- -
- -
52 1
1437
0 57
130
9 46
352
114
52 8
13
Ekur
hule
ni N
2 SD
Indi
cato
r -
- -
- -
5.7
2 72
384
.04.
859
.6 -
- -
- -
Num
erat
or -
- -
- -
175
990
693
798
982
175
990
1 50
027
418
- -
- -
-
Den
omin
ator
- -
- -
-31
050
254
779
209
594
31 0
5045
989
- -
- -
-
Ekur
hule
ni S
1 SD
Indi
cato
r4.
82
361
73.7
6.0
47.9
6.6
2 52
483
.96.
033
.1 -
- -
- -
Num
erat
or77
443
283
314
784
77 4
4396
129
551
250
448
811
733
167
250
448
2 27
814
320
- -
- -
-
Den
omin
ator
16 0
1211
9 99
710
5 01
016
012
61 6
3737
741
321
603
298
481
37 7
4143
215
- -
- -
-
Ekur
hule
ni
Indi
cato
r4.
82
361
73.7
6.0
47.9
5.1
2 81
084
.05.
443
.15.
22
645
86.7
4.9
45.5
Num
erat
or77
443
283
314
784
77 4
4396
129
551
680
590
2 54
4 26
4 90
168
0 59
07
214
62 6
3626
8 43
798
0 22
6 40
626
8 43
72
548
24 0
20
Den
omin
ator
16 0
1211
9 99
710
5 01
016
012
61 6
3713
2 75
890
5 46
281
0 69
313
2 75
814
5 40
152
114
370
571
309
463
52 1
1452
813
Gau
teng
Indi
cato
r4.
42
902
65.1
4.4
52.5
5.1
2 87
581
.65.
128
.47.
23
657
81.5
6.0
20.5
Sout
h Af
rica
Indi
cato
r4.
42
568
67.4
5.1
59.3
5.3
2 89
478
.35.
037
.26.
94
227
84.3
5.4
20.3
Sour
ce:
DH
IS a
nd B
AS.
2008 2010 2012 2014 2016 2018Year
1_M
anag
emen
t
1_Im
pact
Inpatient crudedeath rate
2_O
utco
me
Average lengthof stay (districthospitals)
Expenditure perpatient dayequivalent(districthospitals)
3_O
utpu
t
Inpatient bedutilisation rate(districthospitals)
OPD new clientnot referred rate(districthospitals)
4_P
roce
ss_i
nput
PercentageIdeal clinics
Provincial andLG DistrictHealth Servicesexpenditure percapita(uninsured)
Provincial andLG PHCexpenditure percapita(uninsured)
Provincial andLG PHCexpenditure perPHC headcount
2
4
6
8
2
4
6
8
1K
2K
3K
4K
50
100
0
50
100
0
50
100
1K
2K
3K
500
1000
1500
200
400
GP, EKU, Ekurhuleni Metropolitan Municipality, SEQ 5 (least deprived)
Measure NamesIndValueProv_avZA_av
Meas ure NamesIndV alue
P rov_av
ZA_av
Section B: National and District Profiles
399
Section B: Profile Gauteng Province
399
Annual trends Management and efficiency indicators for the service delivery platform, 2016/17
Deaths and Patient day equivalent 2014/15 – 2016/17
D
ata
Elem
ent
(Num
ber)
2014
/15
2015
/16
2016
/17
PHC
/ CH
C / M
OU
*D
istr
ict
Hos
pita
lR
egio
nal
Hos
pita
l
Cen
tral
/te
rtia
ry
Hos
pita
lD
istr
ict
Tota
lPH
C / C
HC
/ MO
UD
istr
ict
Hos
pita
lR
egio
nal
Hos
pita
l
Cen
tral
/te
rtia
ry
Hos
pita
lD
istr
ict
Tota
lPH
C / C
HC
/ MO
UD
istr
ict
Hos
pita
lR
egio
nal
Hos
pita
l
Cen
tral
/te
rtia
ry
hosp
ital
Dis
tric
t To
tal
Mat
erna
l dea
ths
-5
6536
106
34
4828
83-
543
2876
Live
birt
hs12
978
5 20
128
086
16 2
0662
471
12 3
334
777
27 3
7315
542
60 0
2512
131
5 45
727
114
14 4
5859
160
Still
birth
s75
8465
649
71
312
8060
627
468
1 23
587
7759
441
91
177
Child (under 5 years)
Infant (under 1
year)
Neo-natal
Dea
th in
faci
lity
0-7d
ays
1538
369
218
640
643
354
171
574
1766
354
211
648
Dea
th in
faci
lity
8-28
day
s 7
115
386
247
-2
130
5218
4-
511
852
175
Dea
th in
faci
lity
29 d
ays
- 11
mon
ths
-6
82-
88-
2092
611
8-
1566
990
Dea
th in
faci
lity
12 –
59
mon
ths
-3
554
62-
1251
568
-6
564
66
Dia
rrho
ea d
eath
und
er 5
yea
rs
-3
37-
40-
329
1143
-4
169
29
Pneu
mon
ia d
eath
und
er 5
yea
rs-
446
-50
-4
415
50-
226
634
Seve
re a
cute
mal
nutri
tion
deat
h un
der 5
yea
rs
-1
392
42-
428
638
-8
197
34
TB D
eath
s 3
738
--
-3
738
3 90
0-
--
3 90
0-
--
--
Inpa
tient
dea
th to
tal
-72
97
013
2 58
810
330
699
57
449
2 49
410
944
2196
17
214
2 54
810
744
Patie
nt d
ay e
quiv
alen
t-
91 4
4286
7 23
235
5 63
71
314
311
6 09
311
2 75
690
9 18
835
7 53
11
385
568
13 8
2811
9 99
790
5 46
237
0 57
114
09 8
58
Sour
ce:
DH
IS. *
MO
U –
Mat
erna
l Obs
tetr
ic U
nit.
AgeGroup.. Female Male<5 years
5-1415-2425-64
65+Total 23%
13%21%
27%34%
71%
22%3%
35%39%
20%8%
50%81%
40%19%
23%16%
5%2%5%
16%23%
6%
21%12%
16%12%
25%71%
23%5%
32%16%
23%7%
42%80%
35%14%
20%16%
15%4%
17%59%
32%6%
GP, Ekurhuleni: EKU, 2010 - 2015
Rank.. Female Male
<5 y
ears
12345678910
5-14
12345678910
15-2
4
12345678910
25-6
4
12345678910
65+
12345678910
Congenital heart anomalies (2.3%)
Sepsis/other newborn infectious (6.2%)Birth asphyxia (7.1%)
Protein-energy malnutrition (3.9%)Other respiratory (4.3%)
Preterm birth complications (16.5%)
Septicaemia (3.2%)
Diarrhoeal diseases (13.1%)Lower respiratory infections (16.0%)
HIV/AIDS (5.7%)
Other unintentional injuries (2.2%)
Drowning (5.5%)
Other respiratory (3.4%)
Fires, hot substances (4.9%)
Meningitis/encephalitis (6.3%)
Accidental threats to breathing (4.2%)
Diarrhoeal diseases (7.9%)
Lower respiratory infections (12.9%)
Tuberculosis (10.0%)HIV/AIDS (11.6%)
Fires, hot substances (3.1%)
Endocrine nutritional,blood, immune (2.0%)
Meningitis/encephalitis (5.2%)
Mechanical forces (3.1%)
Accidental threats to breathing (5.1%)
Interpersonal violence (2.1%)
Diarrhoeal diseases (3.7%)
Lower respiratory infections (11.8%)Tuberculosis (17.6%)
HIV/AIDS (21.5%)
Meningitis/encephalitis (3.1%)
Nephritis/nephrosis (2.5%)Hypertensive heart disease (2.6%)
Diabetes mellitus (3.4%)Diarrhoeal diseases (3.7%)
Ischaemic heart disease (3.3%)
Cerebrovascular disease (5.2%)Lower respiratory infections (10.6%)
Tuberculosis (15.4%)HIV/AIDS (19.5%)
Alzheimer’s and other dementias (2.5%)Endocrine nutritional,blood, immune (2.5%)
COPD (5.2%)Nephritis/nephrosis (3.8%)
Hypertensive heart disease (8.8%)
Diabetes mellitus (6.6%)
Diarrhoeal diseases (2.6%)
Ischaemic heart disease (11.6%)Cerebrovascular disease (14.3%)
Lower respiratory infections (7.7%)
Other perinatal conditions (2.3%)
Sepsis/other newborn infectious (5.8%)Birth asphyxia (8.7%)
Protein-energy malnutrition (3.0%)
Other respiratory (4.4%)
Preterm birth complications (17.6%)
Septicaemia (3.2%)
Diarrhoeal diseases (12.7%)Lower respiratory infections (14.8%)
HIV/AIDS (5.7%)
Other unintentional injuries (3.0%)
Drowning (10.8%)
Epilepsy (2.9%)
Fires, hot substances (7.3%)
Meningitis/encephalitis (3.2%)Accidental threats to breathing (6.2%)Diarrhoeal diseases (6.6%)
Lower respiratory infections (8.8%)
Tuberculosis (11.1%)HIV/AIDS (12.7%)
Fires, hot substances (4.7%)Meningitis/encephalitis (2.6%)
Mechanical forces (17.9%)
Accidental threats to breathing (15.4%)Interpersonal violence (16.1%)
Road injuries (1.9%)Diarrhoeal diseases (1.5%)
Lower respiratory infections (5.7%)
Tuberculosis (9.2%)HIV/AIDS (6.7%)
Meningitis/encephalitis (2.6%)
Mechanical forces (6.5%)
Accidental threats to breathing (3.3%)Interpersonal violence (2.8%)
Diarrhoeal diseases (2.5%)
Ischaemic heart disease (5.1%)Cerebrovascular disease (4.6%)
Lower respiratory infections (9.4%)
Tuberculosis (16.5%)HIV/AIDS (15.9%)
Prostate (5.2%)
Trachea/bronchi/lung (2.9%)
COPD (7.3%)
Nephritis/nephrosis (4.1%)
Hypertensive heart disease (3.3%)
Diabetes mellitus (5.3%)
Ischaemic heart disease (14.3%)Cerebrovascular disease (10.2%)
Lower respiratory infections (7.6%)
Tuberculosis (3.5%)
Rank.. Maternal conditions All other causes
Fem
ale
15-4
9
12345678910
Maternal sepsis (4.8%) n=29Abortion (10.4%) n=63Maternal haemorrhage (12.3%) n=74Hypertension in pregnancy (13.8%) n=83
Other maternal (23.2%) n=139Indirect maternal (35.4%) n=213
Accidental threats to breathing (1.7%) n=483
Endocrine nutritional,blood, immune (2.3%) n=641
Cervix (1.6%) n=458
Nephritis/nephrosis (1.8%) n=508
Cerebrovascular disease (2.7%) n=780
Meningitis/encephalitis (4.3%) n=1 218Diarrhoeal diseases (4.0%) n=1 146
Lower respiratory infections (12.2%) n=3 459Tuberculosis (19.5%) n=5 553
HIV/AIDS (25.2%) n=7 148
Percentage ofdeaths by broad
causes andsingle leading
causes
BroadcauseInjury
NCD
HIV and TB
Comm_mat_peri_nut
Prov, DistrictGP, Ekurhuleni: EKU
Show history
Percentages are shownaccording to all the deaths
within the age/gendercategory of each box,
although only the leading10 causes are displayed.
400
Section B: National and District Profiles
400
Section B: Profile Gauteng Province
Burden of disease profile
For the percentage of deaths by broad cause, deaths are classified into four groups namely: (i) injuries; (ii) non-communicable diseases; (iii) HIV and TB; and (iv) communicable diseases together with maternal perinatal and nutritional conditions. Data are given by gender and age group for the period 2010–2015. The second part of the graph shows the 10 leading single causes of death within each age group (both genders) for 2010–2015 combined.
Percentage of deaths by broad cause and leading causes 2010–2015
2009 2010 2011 2012 2013 2014 2015 2016Year
2_M
ater
nal a
nd w
omen
's h
ealth
1_Im
pact Maternal
mortality infacility ratio
2_O
utco
me
Antenatal 1stvisit before 20weeks rate
Couple yearprotection rate(WHO)
Delivery infacility under 18years rate
Motherpostnatal visitwithin 6 daysrate
3_O
utpu
t
Antenatal clientinitiated on ARTrate
Cervical cancerscreeningcoverage
0
200
400
600
800
20
40
60
80
100
200
5
10
15
0
100
200
50
100
150
200
50
100
150
GP, EKU, Ekurhuleni Metropolitan Municipality, SEQ 5 (least deprived)
Measure NamesIndValueProv_avZA_av
Section B: National and District Profiles
401
Section B: Profile Gauteng Province
401
Maternal and Women’s Health
Impact Outcome Output
Maternal mortality in facility ratio (per100K)
Antenatal client initiated
on ART rate (%)
Delivery in facility under 18 years rate
(%)
Antenatal 1st visit before 20 weeks rate (%)
Cervical cancer
screening coverage (%)
Couple year protection rate
(WHO) (%)
Mother postnatal visit within 6 days
rate (%)
2016/17 2016/17 2016/17 2016/17 2016/17 2016/17 2016/17
Ekurhuleni E1 SD Indicator 151.3 96.2 5.8 48.8 44.2 13.6 127.3
Numerator 9 1 461 344 5 850 6 391 22 172 7 607
Denominator 5 950 1 519 5 975 11 986 173 519 1 960 791 5 975
Ekurhuleni E2 SD Indicator 58.7 97.1 6.4 67.6 61.9 87.8 62.3
Numerator 5 1 251 551 5 073 5 797 84 199 5 400
Denominator 8 514 1 288 8 665 7 501 112 305 1 150 749 8 665
Ekurhuleni N1 SD Indicator 167.1 95.5 7.9 56.9 33.5 44.4 78.2
Numerator 28 1 991 1 333 8 888 5 264 86 721 13 244
Denominator 16 760 2 085 16 930 15 627 188 828 2 344 305 16 930
Ekurhuleni N2 SD Indicator 138.4 83.3 6.5 56.9 43.7 34.3 101.6
Numerator 12 1 980 554 7 317 7 266 55 089 8 676
Denominator 8 670 2 376 8 539 12 856 199 345 1 924 968 8 539
Ekurhuleni S1 SD Indicator 138.5 84.2 4.6 60.3 56.7 123.2 72.9
Numerator 22 1 590 737 5 848 8 541 203 866 11 593
Denominator 15 881 1 888 15 911 9 704 180 920 1 985 574 15 911
Ekurhuleni S2 SD Indicator - 94.8 5.4 61.3 67.3 15.5 340.8
Numerator - 2 173 180 7 025 8 999 26 404 11 424
Denominator 3 385 2 292 3 352 11 460 160 365 2 041 062 3 352
Ekurhuleni Indicator 128.5 91.2 6.2 57.9 49.9 50.3 97.6
Numerator 76 10 446 3 699 40 001 42 258 478 450 57 944
Denominator 59 160 11 448 59 372 69 134 1 015 283 11 407 449 59 372
Gauteng Indicator 119.2 94.8 4.7 58.4 50.3 58.1 85.9
South Africa Indicator 116.9 95.1 6.8 65.2 61.5 70.2 70.3
Source: DHIS.
Annual trends
402
Section B: National and District Profiles
402
Section B: Profile Gauteng Province
Child and School Health
Im
pact
Out
com
eO
utpu
t
Chi
ld u
nder
5
year
s di
arrh
oea
case
fata
lity
rate
(%)
Chi
ld u
nder
5
year
s pn
eum
onia
ca
se fa
talit
y ra
te (%
)
Chi
ld u
nder
5
year
s se
vere
acu
te
mal
nutr
ition
ca
se fa
talit
y ra
te (%
)
Inpa
tient
de
ath
unde
r 1
year
rate
(%)
Inpa
tient
de
ath
unde
r 5
year
rate
(%)
Inpa
tient
ea
rly n
eona
tal
deat
h ra
te
(per
1K)
Inpa
tient
ne
onat
al
deat
h ra
te
(per
1K)
Infa
nt P
CR
test
pos
itive
ar
ound
10
wee
ks ra
te
(%)
Imm
unis
atio
n co
vera
ge
unde
r 1 y
ear
(%)
Infa
nt
excl
usiv
ely
brea
stfe
d at
D
TaP-
IPV-
Hib
-HB
V 3rd
do
se ra
te (%
)
Mea
sles
2nd
dos
e co
vera
ge (%
)
Scho
ol G
rade
1
scre
enin
g co
vera
ge (%
)
Scho
ol G
rade
8
scre
enin
g co
vera
ge (%
)
Vita
min
A
dose
12-
59
mon
ths
cove
rage
(%)
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
Ekur
hule
ni E
1 SD
Indi
cato
r1.
31.
116
.012
.26.
18.
913
.31.
092
.240
.799
.887
.292
.055
.5
Num
erat
or2
54
9310
553
7919
7 53
73
188
8 71
29
818
7 01
741
057
Den
omin
ator
152
469
2576
31
715
5 95
05
950
1 97
898
142
7 83
810
4 78
411
262
7 62
588
7 46
6
Ekur
hule
ni E
2 SD
Indi
cato
r12
.67.
511
.89.
78.
78.
29.
91.
611
4.9
31.5
141.
978
.467
.269
.7
Num
erat
or11
146
120
159
7084
235
241
1 88
56
873
5 95
53
330
28 5
16
Den
omin
ator
8718
651
1 24
11
838
8 51
48
514
1 42
454
720
5 98
058
137
7 59
14
953
490
926
Ekur
hule
ni N
1 SD
Indi
cato
r4.
26.
87.
48.
46.
512
.615
.82.
092
.728
.110
0.1
65.6
33.3
57.2
Num
erat
or9
67
273
277
212
264
3890
34
3 09
19
839
5 49
82
201
44 6
34
Den
omin
ator
215
8895
3 25
54
237
16 7
6016
760
1 90
611
6 99
110
989
117
957
8 18
46
605
935
598
Ekur
hule
ni N
2 SD
Indi
cato
r -
1.1
7.3
3.5
2.1
6.0
8.0
1.8
135.
026
.4
173.
681
.97.
084
.4
Num
erat
or -
33
7173
5269
419
267
3 06
412
108
5 01
147
847
551
Den
omin
ator
208
268
412
011
3 44
38
670
8 67
02
255
82 3
9811
621
83 7
036
121
6 85
767
5 95
4
Ekur
hule
ni S
1 SD
Indi
cato
r1.
40.
813
.218
.511
.416
.320
.50.
512
6.2
49.2
137.
376
.423
.281
.9
Num
erat
or7
614
354
363
259
325
89
440
5 06
010
630
57 7
71
444
51 8
79
Den
omin
ator
508
790
106
1 91
53
189
15 8
8115
881
1 71
389
793
10 2
8092
880
7 55
86
227
759
840
Ekur
hule
ni S
2 SD
Indi
cato
r -
- -
100.
010
0.0
0.6
0.6
0.7
97.4
42.4
118.
944
.450
.777
.3
Num
erat
or -
- -
22
22
198
875
4 68
111
362
49 9
03
968
61 0
05
Den
omin
ator
- -
-2
23
385
3 38
52
782
109
314
11 0
2911
4 66
911
2 37
7 83
094
7 46
0
Ekur
hule
ni
Indi
cato
r2.
51.
910
.79.
96.
811
.013
.91.
210
7.5
36.3
124.
871
.346
.070
.2
Num
erat
or29
3434
913
979
648
823
148
49 3
9420
969
59 5
2437
049
18 4
3827
4 64
2
Den
omin
ator
1 17
01
801
318
9 18
714
424
59 1
6059
160
12 0
5855
1 35
857
737
572
130
623
436
481
164
4 69
7 24
4
Gau
teng
Indi
cato
r1.
71.
56.
59.
76.
710
.013
.61.
796
.744
.010
5.7
49.5
35.4
61.5
Sout
h Af
rica
Indi
cato
r2.
02.
08.
06.
34.
49.
912
.41.
382
.341
.696
.233
.019
.858
.0
Sour
ce:
DH
IS.
2009 2010 2011 2012 2013 2014 2015 2016Year
3_C
hild
and
sch
ool h
ealth
1_Im
pact
Child under 5years diarrhoeacase fatality rate
Child under 5yearspneumoniacase fatality rate
Child under 5years severeacutemalnutritioncase fatality rate
Inpatient earlyneonatal deathrate
3_O
utpu
t
Immunisationcoverage under1 year
Infantexclusivelybreastfed atDTaP-IPV-Hib-HBV 3rd doserate
Measles 2nddose coverage
School Grade 1screeningcoverage
0
50
100
0
10
20
30
0
20
40
60
0
10
20
50
100
150
20
40
60
80
50
100
150
0
50
100
GP, EKU, Ekurhuleni Metropolitan Municipality, SEQ 5 (least deprived)
Measure NamesIndValueProv_avZA_av
2009 2010 2011 2012 2013 2014 2015 2016Year
4_H
IV
4_P
roce
ss_i
nput
HIV testingcoverage(including ANC)
Male condomdistributioncoverage
Medical malecircumcisionrate
20
40
60
100
200
0
20
40
6080
GP, EKU, Ekurhuleni Metropolitan Municipality, SEQ 5 (least deprived)
Measure NamesIndValueProv_avZA_av
Section B: National and District Profiles
403
Section B: Profile Gauteng Province
403
Annual trends Child and School Health
Annual trends HIV
404
Section B: National and District Profiles
404
Section B: Profile Gauteng Province
HIV
3rd
90-
90-9
02nd
90-
90-9
01st
90-9
0-90
Out
com
eO
utpu
tPr
oces
s &
inpu
t
Adu
lt w
ith v
iral
load
com
plet
ion
rate
at 1
2 m
onth
s (%
)
Chi
ld w
ith v
iral
load
com
plet
ion
rate
at 1
2 m
onth
s (%
)
Adu
lt w
ith v
iral
load
sup
pres
sed
rate
12
mon
ths
(%)
Chi
ld w
ith v
iral
load
sup
pres
sed
rate
12
mon
ths
(%)
Adu
lt pe
rcen
tage
on
AR
T af
ter 1
2 m
onth
s (%
)
Chi
ld p
erce
ntag
e on
AR
T af
ter 1
2 m
onth
s (%
)C
lient
s re
mai
ning
on
AR
T ra
te (%
)
HIV
test
pos
itive
cl
ient
15
year
s an
d ol
der r
ate
(incl
udin
g A
NC
) (%
)
HIV
test
ing
cove
rage
(in
clud
ing
AN
C)
(%)
Mal
e co
ndom
di
strib
utio
n co
vera
ge (N
o)
Med
ical
mal
e ci
rcum
cisi
on ra
te
(per
1K)
2015
2015
2015
2015
2015
2015
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
Ekur
hule
ni E
1 SD
Indi
cato
r84
.275
.462
.936
.470
.181
.4 -
-36
.80.
314
.2
Num
erat
or -
132
-48
-32
0 -
-12
6 41
577
210
3 69
0
Den
omin
ator
5 64
217
54
753
132
8 26
439
3 -
-4
121
265
2 82
2 39
43
121
932
Ekur
hule
ni E
2 SD
Indi
cato
r84
.469
.458
.530
.173
.982
.7 -
-37
.251
.07.
8
Num
erat
or -
93 -
28 -
254
- -
75 1
717
463
356
1 25
3
Den
omin
ator
4 40
413
43
715
936
213
307
- -
2 42
4 53
41
755
303
1 92
8 80
2
Ekur
hule
ni N
1 SD
Indi
cato
r90
.583
.573
.454
.767
.884
.2 -
-30
.123
.728
.4
Num
erat
or -
106
-58
-25
6 -
-12
9 00
66
880
800
8 85
4
Den
omin
ator
5 05
712
74
575
106
7 69
330
4 -
-5
151
282
3 48
7 12
83
738
015
Ekur
hule
ni N
2 SD
Indi
cato
r83
.371
.768
.351
.671
.479
.8 -
-23
.913
.41.
2
Num
erat
or -
91 -
47 -
265
- -
81 8
243
407
808
319
Den
omin
ator
6 61
512
75
509
919
496
332
- -
4 11
1 84
23
044
379
3 26
2 78
5
Ekur
hule
ni S
1 SD
Indi
cato
r79
.975
.866
.555
.170
.380
.3 -
-36
.782
.313
.1
Num
erat
or -
69 -
38 -
171
- -
126
691
19 6
09 3
003
371
Den
omin
ator
4 99
591
3 99
169
7 26
121
3 -
-4
137
057
2 85
7 65
63
091
971
Ekur
hule
ni S
2 SD
Indi
cato
r85
.080
.761
.437
.469
.384
.2 -
-36
.9 -
28.8
Num
erat
or -
163
-61
-37
2 -
-13
3 73
3 -
7 47
3
Den
omin
ator
6 92
520
25
888
163
10 2
9644
2 -
-4
353
030
2 83
4 10
03
116
370
Ekur
hule
ni
Indi
cato
r84
.576
.465
.342
.870
.382
.344
.811
.133
.226
.716
.4
Num
erat
or -
654
-28
0 -
1 63
822
6 95
581
120
6728
4037
438
474
24 9
60
Den
omin
ator
33 6
3885
628
431
654
49 2
231
991
507
096
729
254
24 2
99 0
1016
800
960
18 2
59 8
75
Gau
teng
Indi
cato
r72
.670
.175
.554
.372
.181
.445
.610
.329
.736
.619
.3
Sout
h Af
rica
Indi
cato
r -
- -
- -
-55
.08.
235
.947
.519
.0
Sour
ce:
DH
IS.
Section B: National and District Profiles
405
Section B: Profile Gauteng Province
405
TB
I mpa
ctO
utco
me
Out
put
Proc
ess
& in
put
TB d
eath
rate
(E
TR.n
et) (
%)
TB D
R cl
ient
de
ath
rate
(E
DR
Web
) (%
)
TB c
lient
loss
to
follo
w u
p ra
te
(ETR
.Net
) (%
)
TB c
lient
tr
eatm
ent
succ
ess
rate
(E
TR.n
et) (
%)
TB D
R cl
ient
loss
to
follo
w u
p ra
te
(ED
RW
eb) (
%)
TB D
R tr
eatm
ent
succ
ess
rate
(E
DR
Web
) (%
)
TB R
ifam
pici
n re
sist
ance
co
nfirm
ed c
lient
ra
te (%
)
TB R
ifam
pici
n re
sist
ant c
lient
s tr
eatm
ent
initi
atio
n ra
te (%
)
TB/H
IV c
o-in
fect
ed c
lient
on
AR
T ra
te (E
TR.
Net
) (%
)
TB c
lient
initi
ated
on
trea
tmen
t ra
te (%
)
TB s
ympt
om 5
ye
ars
and
olde
r sc
reen
ed in
fa
cilit
y ra
te (%
)
2015
2014
2015
2015
2014
2014
2016
2016
2016
2016
2016
/17
Ekur
hule
ni E
1 SD
Indi
cato
r7.
9 -
3.8
84.3
- -
- -
91.0
-82
.4
Num
erat
or13
3 -
641
413
- -
- -
761
-61
3 19
9
Den
omin
ator
1 67
6 -
1 67
61
676
- -
- -
836
-74
4 54
4
Ekur
hule
ni E
2 SD
Indi
cato
r8.
5 -
3.9
84.8
- -
- -
93.9
-71
.0
Num
erat
or13
3 -
611
331
- -
- -
756
-44
5 54
4
Den
omin
ator
1 57
0 -
1 57
01
570
- -
- -
805
-62
7 21
8
Ekur
hule
ni N
1 SD
Indi
cato
r6.
2 -
5.7
86.3
- -
- -
85.3
-84
.7
Num
erat
or85
-78
1 19
0 -
- -
-68
9 -
544
588
Den
omin
ator
1 37
9 -
1 37
91
379
- -
- -
808
-64
2 93
6
Ekur
hule
ni N
2 SD
Indi
cato
r5.
0 -
6.5
83.2
- -
- -
84.8
-87
.3
Num
erat
or75
-98
1 25
1 -
- -
-83
2 -
657
605
Den
omin
ator
1 50
3 -
1 50
31
503
- -
- -
981
-75
3 37
3
Ekur
hule
ni S
1 SD
Indi
cato
r4.
6 -
3.6
87.4
- -
- -
86.5
-87
.7
Num
erat
or84
-66
1 58
6 -
- -
-86
5 -
799
461
Den
omin
ator
1 81
5 -
1 81
51
815
- -
- -
1 00
0 -
911
568
Ekur
hule
ni S
2 SD
Indi
cato
r5.
7 -
4.5
85.3
- -
- -
85.0
-90
.8
Num
erat
or14
0 -
112
2 11
4 -
- -
-1
239
-1
088
775
Den
omin
ator
2 47
7 -
2 47
72
477
- -
- -
1 45
7 -
1 19
8 54
6
Ekur
hule
ni
Indi
cato
r6.
219
.74.
685
.323
.149
.66.
065
.187
.366
.285
.1
Num
erat
or65
046
479
8 88
554
116
550
358
5 14
26
100
4 14
9 17
2
Den
omin
ator
10 4
2023
410
420
10 4
2023
423
49
212
550
5 88
79
212
4 87
8 18
5
Gau
teng
Indi
cato
r6.
320
.25.
984
.915
.955
.65.
755
.690
.380
.071
.9
Sout
h Af
rica
Indi
cato
r6.
623
.06.
481
.017
.950
.56.
268
.088
.372
.851
.6
Sour
ce:
DH
IS.
2009 2010 2011 2012 2013 2014 2015 2016Year
5_TB
1_Im
pact
TB death rate(ETR.net)
TB DR clientdeath rate(EDRWeb)
2_O
utco
me
TB client lost tofollow up rate(ETR.Net)
TB clienttreatmentsuccess rate(ETR.net)
TB DR clientloss to follow uprate (EDRWeb)
TB DRtreatmentsuccess rate(EDRWeb)
TB Rifampicinresistanceconfirmed clientrate
TB/HIVco-infectedclient on ARTrate (ETR.Net)
4_P
roce
ss_i
nput
TB symptom 5years and olderscreened infacility rate
5
10
15
0
20
40
60
0
5
10
15
40
60
80
0
20
40
0
20
40
60
0
10
20
0
50
100
0
50
100
GP, EKU, Ekurhuleni Metropolitan Municipality, SEQ 5 (least deprived)
Measure NamesIndValueProv_avZA_av
406
Section B: National and District Profiles
406
Section B: Profile Gauteng Province
Annual trends TB
2010 2011 2012 2013 2014 2015 2016 2017Year
6_NCDs
2_Outcome
Diabetesincidence
Hypertensionincidence
0
5
20
40
GP, EKU, Ekurhuleni Metropolitan Municipality, SEQ 5 (least deprived)
Measure NamesIndValueProv_avZA_av
Section B: National and District Profiles
407
Section B: Profile Gauteng Province
407
Non-communicable diseases
Outcome
Diabetes incidence
(per1K)
Hypertension incidence
(per1K)
2016/17 2016/17
Ekurhuleni E1 SD Indicator 1.7 15.7
Numerator 997 3 190
Denominator 7 207 026 2 445 489
Ekurhuleni E2 SD Indicator 2.8 22.4
Numerator 1 001 3 087
Denominator 4 366 398 1 655 157
Ekurhuleni N1 SD Indicator 1.4 11.1
Numerator 930 2 365
Denominator 8 075 079 2 567 547
Ekurhuleni N2 SD Indicator 3.4 16.9
Numerator 2 019 4 077
Denominator 7 121 076 2 889 348
Ekurhuleni S1 SD Indicator 6.3 33.0
Numerator 3 639 6 933
Denominator 6 951 348 2 522 238
Ekurhuleni S2 SD Indicator 2.7 36.2
Numerator 1 641 6 407
Denominator 7 165 425 2 124 270
Ekurhuleni Indicator 3.0 22.0
Numerator 10 227 26 059
Denominator 40 886 352 14 204 049
Gauteng Indicator 3.2 19.8
South Africa Indicator 2.5 18.9
Source: DHIS.
Annual trends
Sub-district value in red – improvement strategies are urgently needed
Value highlighted in yellow – performance is ranked among the 10 best in the country
Value highlighted in red – performance is ranked among the 10 worst in the country
408
Section B: National and District Profiles
408
Section B: Profile Gauteng Province
Johannesburg Metropolitan Municipality (JHB)
Located in the heart of Gauteng Province, Johannesburg Metro is the most populous city in South Africa, with a population of 5 006 517 and a population density of 3 044 persons per km2. The district is divided into seven health sub-districts, named Johannesburg Sub-district A to Johannesburg Sub-district E. The district falls in socio-economic Quintile 5, among the wealthiest districts. Estimated medical scheme coverage is 25.0%.
Social determinants of healtha
Unemployment ratea 25.0%
Youth unemployment rate (15-34 years)a 31.5%
No schooling 3.4%
Matric 38.5%
Higher education 14.7%
Households 1 853 371
Female-headed households 37.7%
Formal dwellings 81.3%
Flush toilet connected to sewerage 88.6%
Weekly refuse removal 85.4%
Piped water inside dwellings 60.3%
Electricity for lighting 90.9%
Blue Drop water score 96.1%
Source: StatsSA. 2014 Blue Drop Report.
Population distribution sub-district boundaries and health facility locations
a Statistics South Africa. Census 2011 Municipal fact sheet. Report No. 03-01-58. Pretoria: Statistics SA; 2012.
Population per selected category
Population category 2017 2018 2019 2020
under 1 year 93 402 94 691 94 490 92 894
under 5 years 453 758 459 524 462 211 462 268
05-09 years 421 042 427 272 434 584 443 515
10-14 years 389 050 398 702 406 987 414 405
15-19 years 357 758 372 957 384 258 391 606
20-24 years 401 268 407 526 415 800 425 133
25-29 years 472 537 473 041 476 356 482 157
30-34 years 450 604 465 421 484 213 505 641
35-39 years 455 497 452 081 445 523 438 397
40-44 years 416 300 425 118 432 040 437 047
45-49 years 335 911 350 617 365 253 378 804
50-54 years 258 061 269 351 281 256 293 598
55-59 years 206 244 211 734 217 707 224 801
60-64 years 161 477 167 739 173 848 179 608
65-69 years 119 098 124 106 129 132 134 238
70-74 years 80 319 84 872 89 479 94 058
75-79 years 44 343 48 100 52 028 56 170
80 years and older 32 392 34 774 37 215 39 724
Total 5 055 664 5 172 937 5 287 887 5 401 173
Estimated pregnant women* 99 940 101 319 101 104 99 397
Source: Mid-Year Population Estimates 2016 StatsSA. * Under 1 year population X 1.07.
Section B: National and District Profiles
409
Section B: Profile Gauteng Province
409
Number of facilities by level, 2016/17
Ward based outreach
teams Clinic CHCDistrict Hospital
Regional Hospital
Central/Tertiary
HospitalsOther
Hospitals
Johannesburg A SD 66 13 1 0 0 0 3
Johannesburg B SD 42 12 0 0 1 1 10
Johannesburg C SD 52 13 1 0 0 0 5
Johannesburg D SD 73 25 5 1 0 1 5
Johannesburg E SD 14 9 1 0 1 0 6
Johannesburg F SD 74 17 1 1 0 1 6
Johannesburg G SD 100 25 2 0 0 0 2
Johannesburg 421 114 11 2 2 3 37
Source: DHIS.
Human resources – filled posts, 2016
Community Health
WorkersNursing
assistantsEnrolled
nurseProfessional
nurseMedical
practitioners PharmacistsDental
practitionersOccupational
therapy Physiotherapy
Speech Therapy and Audiology
Johannesburg 1 454 2 544 2 392 4 456 12 09 354 70 86 104 70
Source: Persal, DHIS.
Management and efficiency indicators for the service delivery platform, 2016/17
PHC Management
Output Process & input
PHC utilisation rate (No)
Percentage Ideal clinics
(%)
Percentage of assessed PHC facilities with 90% of tracer
medicines available (%)
Provincial and LG
District Health Services
expenditure per capita
(uninsured) (Rand)
Provincial and LG PHC expenditure per capita
(uninsured) (Rand)
Provincial and LG PHC expenditure
per PHC headcount
(Rand)
2016/17 2016/17 2016/17 2016/17 2016/17 2016/17
Johannesburg A SD Indicator 1.3 - - - - -
Numerator 896 086 - - - - -
Denominator 8 376 789 - - - - -
Johannesburg B SD Indicator 0.8 - - - - -
Numerator 273 360 - - - - -
Denominator 4 158 342 - - - - -
Johannesburg C SD Indicator 1.1 - - - - -
Numerator 787 985 - - - - -
Denominator 8 622 282 - - - - -
Johannesburg D SD Indicator 2.2 - - - - -
Numerator 2 795 812 - - - - -
Denominator 15 080 421 - - - - -
Johannesburg E SD Indicator 1.0 - - - - -
Numerator 557 534 - - - - -
Denominator 6 479 637 - - - - -
Johannesburg F SD Indicator 1.5 - - - - -
Numerator 1 069 319 - - - - -
Denominator 8 638 050 - - - - -
Johannesburg G SD Indicator 1.8 - - - - -
Numerator 1 387 102 - - - - -
Denominator 9 096 375 - - - - -
Johannesburg Indicator 1.5 36.8 85.7 1 177 998 483
Numerator 7 767 198 43 90 4 422 321 019 3 748 741 091 3 748 741 091
Denominator 60 451 896 117 105 3 755 890 3 755 890 7 767 198
Gauteng Indicator 1.6 58.1 93.7 1 414 1 106 503
South Africa Indicator 2.3 29.8 78.4 1 726 1 054 389
Source: DHIS.
410
Section B: National and District Profiles
410
Section B: Profile Gauteng Province
Hos
pita
l
Dis
tric
t Hos
pita
lR
egio
nal H
ospi
tal
Tert
iary
/Cen
tral
Hos
pita
l
Aver
age
leng
th o
f st
ay -
tota
l (D
ays)
Expe
nditu
re
per p
atie
nt
day
equi
vale
nt
(Ran
d)
Inpa
tient
bed
ut
ilisa
tion
rate
- to
tal
(%)
Inpa
tient
cr
ude
deat
h ra
te (%
)
OPD
new
cl
ient
not
re
ferr
ed ra
te
(%)
Aver
age
leng
th o
f st
ay -
tota
l (D
ays)
Expe
nditu
re
per p
atie
nt
day
equi
vale
nt
(Ran
d)
Inpa
tient
bed
ut
ilisa
tion
rate
- to
tal
(%)
Inpa
tient
cr
ude
deat
h ra
te (%
)
OPD
new
cl
ient
not
re
ferr
ed ra
te
(%)
Aver
age
leng
th o
f st
ay -
tota
l (D
ays)
Expe
nditu
re
per p
atie
nt
day
equi
vale
nt
(Ran
d)
Inpa
tient
bed
ut
ilisa
tion
rate
- to
tal
(%)
Inpa
tient
cr
ude
deat
h ra
te (%
)
OPD
new
cl
ient
not
re
ferr
ed ra
te
(%)
Joha
nnes
burg
B S
DIn
dica
tor
- -
- -
-3.
05
242
78.4
1.5
48.5
6.8
3 12
890
.46.
253
.5
Num
erat
or -
- -
- -
92 6
2855
2 94
3 23
392
628
464
3 52
820
3 37
11
003
996
208
203
371
1 85
315
716
Den
omin
ator
- -
- -
-31
170
105
486
118
182
31 1
707
279
29 7
2532
0 91
922
4 86
529
725
29 3
50
Joha
nnes
burg
D S
DIn
dica
tor
4.2
3 19
965
.73.
211
.9 -
- -
- -
7.9
3 68
178
.47.
27.
3
Num
erat
or73
341
349
297
754
73 3
4156
33
143
- -
- -
-76
2 95
23
694
789
741
762
952
6 95
38
756
Den
omin
ator
17 4
3710
9 18
611
1 70
217
437
26 3
39 -
- -
- -
96 4
301
003
618
973
288
96 4
3012
0 37
6
Joha
nnes
burg
E S
DIn
dica
tor
- -
- -
-4.
44
204
89.1
5.3
12.8
- -
- -
-
Num
erat
or -
- -
- -
74 8
4636
8 98
6 88
174
846
898
574
- -
- -
-
Den
omin
ator
- -
- -
-16
979
87 7
8083
959
16 9
794
497
- -
- -
-
Joha
nnes
burg
F S
DIn
dica
tor
4.6
2 85
965
.42.
289
.1 -
- -
- -
6.7
3 90
285
.05.
10.
0
Num
erat
or69
722
252
020
812
69 7
2233
627
784
- -
- -
-31
0 92
32
694
905
095
310
923
2 34
30
Den
omin
ator
15 0
6388
156
106
653
15 0
6331
171
- -
- -
-46
282
690
611
365
648
46 2
8219
0 15
0
Joha
nnes
burg
Indi
cato
r4.
43
047
65.5
2.8
53.8
3.5
4 77
082
.82.
834
.87.
43
669
81.7
6.5
7.2
Num
erat
or14
3 06
360
1 31
8 56
614
3 06
389
930
927
167
474
921
930
114
167
474
1 36
24
102
1 27
7 24
57
393
691
045
1 27
7 24
511
149
24 4
72
Den
omin
ator
32 5
0019
7 34
321
8 35
532
500
57 5
1048
149
193
266
202
141
48 1
4911
776
172
437
2 01
5 14
81
563
801
172
437
339
876
Gau
teng
Indi
cato
r4.
42
902
65.1
4.4
52.5
5.1
2 87
581
.65.
128
.47.
23
657
81.5
6.0
20.5
Sout
h Af
rica
Indi
cato
r4.
42
568
67.4
5.1
59.3
5.3
2 89
478
.35.
037
.26.
94
227
84.3
5.4
20.3
Sour
ce:
DH
IS a
nd B
AS.
2008 2010 2012 2014 2016 2018Year
1_M
anag
emen
t
1_Im
pact
Inpatient crudedeath rate
2_O
utco
me
Average lengthof stay (districthospitals)
Expenditure perpatient dayequivalent(districthospitals)
3_O
utpu
t
Inpatient bedutilisation rate(districthospitals)
OPD new clientnot referred rate(districthospitals)
4_P
roce
ss_i
nput
PercentageIdeal clinics
Provincial andLG DistrictHealth Servicesexpenditure percapita(uninsured)
Provincial andLG PHCexpenditure percapita(uninsured)
Provincial andLG PHCexpenditure perPHC headcount
2
4
6
8
2
4
6
8
1K
2K
3K
4K
50
100
0
50
100
0
50
100
1K
2K
3K
500
1000
1500
200
400
GP, JHB, City of Johannesburg Metropolitan Municipality, SEQ 5 (leastdeprived)
Measure NamesIndValueProv_avZA_av
Meas ure NamesIndV alue
P rov_av
ZA_av
Section B: National and District Profiles
411
Section B: Profile Gauteng Province
411
Annual trends Management and efficiency indicators for the service delivery platform, 2016/17
Deaths and Patient day equivalent 2014/15 – 2016/17
20
14/1
520
15/1
620
16/1
7
Dat
a El
emen
t(N
umbe
r)PH
C / C
HC
/ MO
U*
Dis
tric
t H
ospi
tal
Reg
iona
l H
ospi
tal
Cen
tral
/te
rtia
ry
Hos
pita
lD
istr
ict
Tota
lPH
C / C
HC
/ MO
UD
istr
ict
Hos
pita
lR
egio
nal
Hos
pita
l
Cen
tral
/te
rtia
ry
Hos
pita
lD
istr
ict
Tota
lPH
C / C
HC
/ MO
UD
istr
ict
Hos
pita
lR
egio
nal
Hos
pita
l
Cen
tral
/te
rtia
ry
hosp
ital
Dis
tric
t To
tal
Mat
erna
l dea
ths
2-
553
602
49
4964
-4
849
61
Live
birt
hs16
913
4 67
515
585
29 2
3266
405
14 2
206
698
16 4
7927
750
65 1
4714
992
6 15
517
087
28 7
5066
984
Still
birth
s11
366
193
906
1 27
812
076
224
872
1 29
210
957
338
757
1 26
1
Child (under 5 years)
Infant (under 1
year)
Neo-natal
Dea
th in
faci
lity
0-7d
ays
178
153
509
687
2037
151
430
638
433
173
435
645
Dea
th in
faci
lity
8-28
day
s 1
-88
126
215
-1
5218
724
0-
636
197
239
Dea
th in
faci
lity
29 d
ays
- 11
mon
ths
-6
2316
519
4-
38
157
168
-5
6719
827
0
Dea
th in
faci
lity
12 –
59
mon
ths
-2
2111
914
2-
48
6577
-6
7612
720
9
Dia
rrho
ea d
eath
und
er 5
yea
rs
-2
317
22-
15
3238
-3
318
24
Pneu
mon
ia d
eath
und
er 5
yea
rs-
110
1930
-4
421
29-
-22
1032
Seve
re a
cute
mal
nutri
tion
deat
h un
der 5
yea
rs
-1
4-
5-
25
1421
-1
1010
21
TB D
eath
s 6
594
--
-6
594
5 62
1-
--
5 62
1-
--
--
Inpa
tient
dea
th to
tal
-91
51
346
10 4
8812
749
211
051
1 53
810
784
13 3
944
899
1 36
211
149
13 4
14
Patie
nt d
ay e
quiv
alen
t-
123
588
252
554
1 88
3 95
72
260
099
5 79
218
5 86
321
3 75
11
933
496
2 33
8 90
211
930
197
343
193
266
2 01
5 14
82
417
687
Sour
ce:
DH
IS. *
MO
U –
Mat
erna
l Obs
tetr
ic U
nit.
AgeGroup.. Female Male<5 years
5-1415-2425-64
65+Total 20%
13%17%21%23%
66%
19%2%
32%34%
16%6%
56%82%
46%25%
34%22%
5%3%5%
19%27%
6%
17%10%14%
9%19%
66%
19%3%
28%11%
11%5%
48%82%
40%19%
33%22%
16%4%
18%61%
37%8%
GP, Johannesburg: JHB, 2010 - 2015
Rank.. Female Male
<5 y
ears
12345678910
5-14
12345678910
15-2
4
12345678910
25-6
4
12345678910
65+
12345678910
Congenital heart anomalies (5.1%)
Other perinatal conditions (2.9%)
Sepsis/other newborn infectious (6.1%)Birth asphyxia (6.5%)
Protein-energy malnutrition (2.8%)
Preterm birth complications (17.0%)
Septicaemia (3.9%)
Diarrhoeal diseases (11.1%)Lower respiratory infections (12.3%)
HIV/AIDS (5.0%)
Leukaemia (4.4%)
Other neoplasms (3.3%)Drowning (3.4%)
Fires, hot substances (7.6%)
Meningitis/encephalitis (4.2%)
Accidental threats to breathing (5.0%)
Diarrhoeal diseases (3.8%)
Lower respiratory infections (8.6%)
Tuberculosis (6.0%)
HIV/AIDS (10.3%)
Fires, hot substances (3.4%)
Meningitis/encephalitis (2.4%)
Mechanical forces (4.7%)Accidental threats to breathing (4.7%)
Interpersonal violence (2.2%)Nephritis/nephrosis (2.2%)
Diarrhoeal diseases (2.4%)
Lower respiratory infections (7.2%)Tuberculosis (15.3%)
HIV/AIDS (19.4%)
Breast (3.3%)Cervix (2.8%)
Septicaemia (2.7%)
Nephritis/nephrosis (3.3%)
Diabetes mellitus (2.8%)
Ischaemic heart disease (2.6%)
Cerebrovascular disease (4.6%)Lower respiratory infections (7.7%)
Tuberculosis (12.5%)HIV/AIDS (19.7%)
Alzheimer’s and other dementias (2.9%)
Breast (3.7%)Septicaemia (3.4%)
COPD (5.0%)Nephritis/nephrosis (4.7%)
Hypertensive heart disease (5.7%)Diabetes mellitus (5.4%)
Ischaemic heart disease (10.5%)Cerebrovascular disease (11.5%)
Lower respiratory infections (7.0%)
Other congenital abnormalities (2.7%)
Congenital heart anomalies (5.1%)Sepsis/other newborn infectious (6.1%)Birth asphyxia (7.2%)
Protein-energy malnutrition (2.7%)
Preterm birth complications (17.3%)
Septicaemia (3.4%)
Diarrhoeal diseases (10.8%)Lower respiratory infections (13.0%)
HIV/AIDS (3.7%)
Other unintentional injuries (2.9%)
Leukaemia (4.8%)
Drowning (9.7%)Fires, hot substances (8.8%)
Meningitis/encephalitis (3.4%)
Accidental threats to breathing (6.8%)
Road injuries (4.6%)
Lower respiratory infections (7.0%)
Tuberculosis (4.2%)
HIV/AIDS (6.8%)
Other unintentional injuries (1.9%)Fires, hot substances (3.1%)
Mechanical forces (21.3%)Accidental threats to breathing (15.4%)
Interpersonal violence (12.6%)
Road injuries (3.4%)
Nephritis/nephrosis (1.6%)
Lower respiratory infections (4.5%)
Tuberculosis (5.9%)HIV/AIDS (5.4%)
Mechanical forces (7.4%)
Accidental threats to breathing (3.6%)
Interpersonal violence (2.2%)COPD (2.3%)
Nephritis/nephrosis (3.7%)
Ischaemic heart disease (4.9%)Cerebrovascular disease (4.1%)
Lower respiratory infections (7.6%)Tuberculosis (13.1%)HIV/AIDS (15.0%)
Prostate (5.8%)
Colo-rectal (3.3%)
Trachea/bronchi/lung (4.0%)
COPD (7.0%)
Nephritis/nephrosis (5.1%)
Hypertensive heart disease (2.6%)
Diabetes mellitus (3.8%)
Ischaemic heart disease (13.7%)Cerebrovascular disease (8.0%)
Lower respiratory infections (5.7%)
Rank.. Maternal conditions All other causes
Fem
ale
15-4
9
12345678910
Maternal sepsis (3.0%) n=18
Abortion (10.8%) n=66Maternal haemorrhage (9.7%) n=60
Hypertension in pregnancy (16.4%) n=100Other maternal (29.8%) n=182Indirect maternal (30.3%) n=186
Breast (2.0%) n=588
Septicaemia (2.6%) n=735Cervix (2.1%) n=610
Nephritis/nephrosis (2.8%) n=819
Cerebrovascular disease (2.9%) n=838
Meningitis/encephalitis (2.6%) n=744
Diarrhoeal diseases (2.9%) n=833
Lower respiratory infections (9.1%) n=2 613Tuberculosis (16.5%) n=4 759
HIV/AIDS (25.7%) n=7 411
Percentage ofdeaths by broad
causes andsingle leading
causes
BroadcauseInjury
NCD
HIV and TB
Comm_mat_peri_nut
Prov, DistrictGP, Johannesburg: JHB
Show history
Percentages are shownaccording to all the deaths
within the age/gendercategory of each box,
although only the leading10 causes are displayed.
412
Section B: National and District Profiles
412
Section B: Profile Gauteng Province
Burden of disease profile
For the percentage of deaths by broad cause, deaths are classified into four groups namely: (i) injuries; (ii) non-communicable diseases; (iii) HIV and TB; and (iv) communicable diseases together with maternal perinatal and nutritional conditions. Data are given by gender and age group for the period 2010–2015. The second part of the graph shows the 10 leading single causes of death within each age group (both genders) for 2010–2015 combined.
Percentage of deaths by broad cause and leading causes 2010–2015
Section B: National and District Profiles
413
Section B: Profile Gauteng Province
413
Maternal and Women’s Health
Impact Outcome Output
Maternal mortality in facility ratio (per100K)
Antenatal client initiated
on ART rate (%)
Delivery in facility under 18 years rate
(%)
Antenatal 1st visit before 20 weeks rate (%)
Cervical cancer
screening coverage (%)
Couple year protection rate
(WHO) (%)
Mother postnatal visit within 6 days
rate (%)
2016/17 2016/17 2016/17 2016/17 2016/17 2016/17 2016/17
Johannesburg A SD Indicator - 98.1 2.7 56.3 50.6 41.1 1 001.3
Numerator - 3 200 19 9 859 7 788 88 043 7 079
Denominator 668 3 262 707 17 513 184 652 2 568 414 707
Johannesburg B SD Indicator 8.0 97.2 1.7 57.7 66.0 58.5 18.7
Numerator 1 521 227 3 064 7 463 58 935 2 444
Denominator 12 551 536 13 084 5 306 1 357 863 1 208 604 13 084
Johannesburg C SD Indicator - 98.6 3.1 50.1 26.7 31.3 492.3
Numerator - 1 289 28 4 252 5 260 65 326 4 406
Denominator 895 1 307 895 8 491 236 211 2 505 102 895
Johannesburg D SD Indicator 111.8 95.5 5.0 58.0 50.8 43.7 74.0
Numerator 32 3 909 1 440 13 625 16 756 153 046 21 490
Denominator 28 630 4 094 29 031 23 499 395 497 4 206 987 29 031
Johannesburg E SD Indicator 102.6 90.3 3.2 54.0 48.3 29.3 84.8
Numerator 7 1 352 218 4 672 7 709 46 197 5 767
Denominator 6 822 1 498 6 804 8 650 191 608 1 893 930 6 804
Johannesburg F SD Indicator 142.4 93.6 2.3 53.3 46.4 135.8 64.6
Numerator 21 2 563 354 10 021 8 237 301 967 9 936
Denominator 14 743 2 739 15 388 18 814 213 131 2 667 711 15 388
Johannesburg G SD Indicator - 95.6 6.0 59.3 49.5 25.4 343.5
Numerator - 2 415 160 7 528 9 019 53 106 9 169
Denominator 2 675 2 527 2 669 12 704 218 525 2 509 227 2 669
Johannesburg Indicator 91.1 95.5 3.6 55.8 47.4 52.4 87.9
Numerator 61 15 249 2 446 53 021 62 232 766 618 60 291
Denominator 66 984 15 963 68 578 94 977 1 575 411 17 559 975 68 578
Gauteng Indicator 119.2 94.8 4.7 58.4 50.3 58.1 85.9
South Africa Indicator 116.9 95.1 6.8 65.2 61.5 70.2 70.3
Source: DHIS.
2009 2010 2011 2012 2013 2014 2015 2016Year
3_C
hild
and
sch
ool h
ealth
1_Im
pact
Child under 5years diarrhoeacase fatality rate
Child under 5yearspneumoniacase fatality rate
Child under 5years severeacutemalnutritioncase fatality rate
Inpatient earlyneonatal deathrate
3_O
utpu
tImmunisationcoverage under1 year
Infantexclusivelybreastfed atDTaP-IPV-Hib-HBV 3rd doserate
Measles 2nddose coverage
School Grade 1screeningcoverage
0
50
100
0
10
20
30
0
20
40
60
0
10
20
50
100
150
20
40
60
80
50
100
150
0
50
100
GP, JHB, City of Johannesburg Metropolitan Municipality, SEQ 5 (leastdeprived)
Measure NamesIndValueProv_avZA_av
Meas ure NamesIndV alue
P rov_av
ZA_av
2009 2010 2011 2012 2013 2014 2015 2016Year
2_M
ater
nal a
nd w
omen
's h
ealth
1_Im
pact Maternal
mortality infacility ratio
2_O
utco
me
Antenatal 1stvisit before 20weeks rate
Couple yearprotection rate(WHO)
Delivery infacility under 18years rate
Motherpostnatal visitwithin 6 daysrate
3_O
utpu
t
Antenatal clientinitiated on ARTrate
Cervical cancerscreeningcoverage
0
200
400
600
800
20
40
60
80
100
200
5
10
15
0
100
200
50
100
150
200
50
100
150
GP, JHB, City of Johannesburg Metropolitan Municipality, SEQ 5 (leastdeprived)
Measure NamesIndValueProv_avZA_av
Meas ure NamesIndV alue
P rov_av
ZA_av
414
Section B: National and District Profiles
414
Section B: Profile Gauteng Province
Annual trends Maternal and Women’s Health Annual trends Child and School Health
Section B: National and District Profiles
415
Section B: Profile Gauteng Province
415
Im
pact
Out
com
eO
utpu
t
Chi
ld u
nder
5
year
s di
arrh
oea
case
fata
lity
rate
(%)
Chi
ld u
nder
5
year
s pn
eum
onia
ca
se fa
talit
y ra
te (%
)
Chi
ld u
nder
5
year
s se
vere
acu
te
mal
nutr
ition
ca
se fa
talit
y ra
te (%
)
Inpa
tient
de
ath
unde
r 1
year
rate
(%)
Inpa
tient
de
ath
unde
r 5
year
rate
(%)
Inpa
tient
ea
rly n
eona
tal
deat
h ra
te
(per
1K)
Inpa
tient
ne
onat
al
deat
h ra
te
(per
1K)
Infa
nt P
CR
test
pos
itive
ar
ound
10
wee
ks ra
te
(%)
Imm
unis
atio
n co
vera
ge
unde
r 1 y
ear
(%)
Infa
nt
excl
usiv
ely
brea
stfe
d at
D
TaP-
IPV-
Hib
-HB
V 3rd
do
se ra
te (%
)
Mea
sles
2nd
dos
e co
vera
ge (%
)
Scho
ol G
rade
1
scre
enin
g co
vera
ge (%
)
Scho
ol G
rade
8
scre
enin
g co
vera
ge (%
)
Vita
min
A
dose
12-
59
mon
ths
cove
rage
(%)
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
Joha
nnes
burg
A
SDIn
dica
tor
- -
- -
- -
-0.
873
.332
.483
.65.
87.
342
.9
Num
erat
or -
- -
- -
- -
1810
462
4 24
211
289
392
270
43 0
34
Den
omin
ator
- -
- -
-66
866
82
210
171
219
13 0
9316
2 07
26
752
3 67
61
203
492
Joha
nnes
burg
B
SDIn
dica
tor
-1.
23.
75.
34.
111
.313
.92.
196
.037
.210
2.1
13.3
3.0
41.8
Num
erat
or -
108
203
244
142
175
113
302
1 39
23
683
659
118
12 7
71
Den
omin
ator
815
817
214
3 85
95
886
12 5
5112
551
517
41 2
623
746
43 3
024
970
3 98
136
7 01
4
Joha
nnes
burg
C
SD
Indi
cato
r -
- -
- -
- -
0.5
53.4
58.6
62.9
22.4
17.0
34.7
Num
erat
or -
- -
- -
- -
65
965
4 03
57
092
1 74
391
231
503
Den
omin
ator
- -
- -
-89
589
51
091
133
923
6 88
313
5 21
37
769
5 35
41
087
968
Joha
nnes
burg
D
SD
Indi
cato
r1.
30.
73.
57.
95.
610
.115
.10.
711
8.4
40.7
122.
727
.119
.488
.8
Num
erat
or16
911
490
555
290
432
2920
945
9 02
223
015
4 67
12
167
140
803
Den
omin
ator
1 24
51
350
314
6 23
19
942
28 6
3028
630
4 41
421
2 22
322
149
225
123
17 2
5011
185
1 90
3 14
0
Joha
nnes
burg
E
SDIn
dica
tor
3.5
2.4
3.6
10.3
8.9
4.5
5.0
0.3
140.
744
.310
0.7
15.3
15.5
46.3
Num
erat
or3
122
7310
831
344
10 5
023
105
7 56
487
669
527
943
Den
omin
ator
8549
355
707
1 21
06
822
6 82
21
184
89 5
627
009
90 1
265
728
4 48
672
4 67
4
Joha
nnes
burg
F
SDIn
dica
tor
3.3
0.3
-14
.16.
612
.316
.42.
911
5.0
43.9
143.
525
.02.
578
.8
Num
erat
or5
1 -
387
455
181
242
114
11 3
915
767
14 4
021
578
140
63 3
01
Den
omin
ator
151
382
362
738
6 89
514
743
14 7
433
873
118
881
13 1
3912
0 46
56
312
5 52
496
3 76
8
Joha
nnes
burg
G
SD
Indi
cato
r -
- -
100.
010
0.0
0.4
0.4
1.2
89.9
45.3
97.6
6.8
8.4
64.5
Num
erat
or -
- -
11
11
3010
524
5 44
212
149
905
824
68 6
84
Den
omin
ator
- -
-1
12
675
2 67
52
579
140
400
12 0
2514
9 35
513
369
9 75
41
278
696
Joha
nnes
burg
In
dica
tor
1.0
1.1
3.4
8.5
5.7
9.6
13.2
1.3
96.7
42.3
102.
717
.411
.761
.8
Num
erat
or24
3221
1 15
41
363
645
884
212
73 0
9133
005
79 1
9410
824
5 12
638
8 03
9
Den
omin
ator
2 29
63
042
619
13 5
3623
934
66 9
8466
984
15 8
6890
7 47
078
044
925
656
745
800
527
520
7 52
8 75
2
Gau
teng
Indi
cato
r1.
71.
56.
59.
76.
710
.013
.61.
796
.744
.010
5.7
49.5
35.4
61.5
Sout
h Af
rica
Indi
cato
r2.
02.
08.
06.
34.
49.
912
.41.
382
.341
.696
.233
.019
.858
.0
Sour
ce:
DH
IS.
Child and School Health
416
Section B: National and District Profiles
416
Section B: Profile Gauteng Province
HIV
3rd
90-
90-9
02nd
90-
90-9
01st
90-9
0-90
Out
com
eO
utpu
tPr
oces
s &
inpu
t
Adu
lt w
ith v
iral
load
com
plet
ion
rate
at 1
2 m
onth
s (%
)
Chi
ld w
ith v
iral
load
com
plet
ion
rate
at 1
2 m
onth
s (%
)
Adu
lt w
ith v
iral
load
sup
pres
sed
rate
12
mon
ths
(%)
Chi
ld w
ith v
iral
load
sup
pres
sed
rate
12
mon
ths
(%)
Adu
lt pe
rcen
tage
on
AR
T af
ter 1
2 m
onth
s (%
)
Chi
ld p
erce
ntag
e on
AR
T af
ter 1
2 m
onth
s (%
)C
lient
s re
mai
ning
on
AR
T ra
te (%
)
HIV
test
pos
itive
cl
ient
15
year
s an
d ol
der r
ate
(incl
udin
g A
NC
) (%
)
HIV
test
ing
cove
rage
(in
clud
ing
AN
C)
(%)
Mal
e co
ndom
di
strib
utio
n co
vera
ge (N
o)
Med
ical
mal
e ci
rcum
cisi
on ra
te
(per
1K)
2015
2015
2015
2015
2015
2015
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
Joha
nnes
burg
A S
DIn
dica
tor
71.2
66.7
83.5
70.5
66.4
81.5
- -
26.6
27.6
30.8
Num
erat
or -
44 -
31 -
141
- -
122
940
7 90
0 31
49
524
Den
omin
ator
4 66
366
3 32
144
7 47
217
3 -
-5
551
392
3 43
4 80
23
715
734
Joha
nnes
burg
B S
DIn
dica
tor
66.5
84.6
74.3
55.7
79.9
84.2
- -
11.9
36.1
16.5
Num
erat
or -
88 -
49 -
219
- -
23 1
074
824
336
2 40
3
Den
omin
ator
2 69
210
41
790
883
587
260
- -
2 33
1 46
51
605
411
1 74
7 29
0
Joha
nnes
burg
C S
DIn
dica
tor
69.6
60.9
70.2
42.9
71.7
73.9
- -
19.5
20.7
32.6
Num
erat
or -
14 -
6 -
65 -
-82
292
5 66
1 72
29
759
Den
omin
ator
2 79
523
1 94
614
4 03
688
- -
5 05
9 23
63
274
416
3 59
6 85
0
Joha
nnes
burg
D S
DIn
dica
tor
67.8
64.1
83.9
58.4
71.6
81.7
- -
27.4
20.1
23.0
Num
erat
or -
125
-73
-35
2 -
-19
6 49
39
413
629
11 9
46
Den
omin
ator
11 3
6219
57
708
125
16 8
2243
1 -
-8
614
659
5 61
1 19
76
233
511
Joha
nnes
burg
E S
DIn
dica
tor
56.1
54.8
88.9
67.6
72.8
80.6
- -
35.9
20.3
9.6
Num
erat
or -
34 -
23
129
- -
113
515
4 26
4 41
52
185
Den
omin
ator
3 13
862
1 76
134
4 40
816
0 -
-3
799
491
2 51
9 30
42
731
953
Joha
nnes
burg
F S
DIn
dica
tor
57.2
66.0
90.9
68.3
72.0
81.9
- -
29.2
107.
517
.2
Num
erat
or -
101
-69
-30
7 -
-13
6 21
531
953
637
5 49
3
Den
omin
ator
7 68
015
34
396
101
10 8
7037
5 -
-5
591
532
3 56
6 28
03
841
488
Joha
nnes
burg
G S
DIn
dica
tor
64.5
62.3
86.7
72.3
73.0
84.1
- -
18.2
6.0
16.0
Num
erat
or -
101
-73
30
2 -
-77
071
1 61
9 49
14
914
Den
omin
ator
5 85
816
23
781
101
8 36
835
9 -
-5
070
240
3 22
5 42
93
685
113
Joha
nnes
burg
In
dica
tor
64.7
66.3
84.1
63.9
71.8
82.1
45.7
11.2
25.0
33.9
21.7
Num
erat
or -
507
-32
4
1 51
529
1 96
590
395
751
633
65 6
37 5
4446
224
Den
omin
ator
38 1
8876
524
703
507
55 5
631
846
638
683
804
155
36 0
18 0
1523
236
839
25 5
51 9
39
Gau
teng
Indi
cato
r72
.670
.175
.554
.372
.181
.445
.610
.329
.736
.619
.3
Sout
h Af
rica
Indi
cato
r -
- -
- -
-55
.08.
235
.947
.519
.0
Sour
ce:
DH
IS.
Meas ure NamesIndV alue
P rov_av
ZA_av
2009 2010 2011 2012 2013 2014 2015 2016Year
5_TB
1_Im
pact
TB death rate(ETR.net)
TB DR clientdeath rate(EDRWeb)
2_O
utco
me
TB client lost tofollow up rate(ETR.Net)
TB clienttreatmentsuccess rate(ETR.net)
TB DR clientloss to follow uprate (EDRWeb)
TB DRtreatmentsuccess rate(EDRWeb)
TB Rifampicinresistanceconfirmed clientrate
TB/HIVco-infectedclient on ARTrate (ETR.Net)
4_P
roce
ss_i
nput
TB symptom 5years and olderscreened infacility rate
5
10
15
0
20
40
60
0
5
10
15
40
60
80
0
20
40
0
20
40
60
0
10
20
0
50
100
0
50
100
GP, JHB, City of Johannesburg Metropolitan Municipality, SEQ 5 (leastdeprived)
Measure NamesIndValueProv_avZA_av
2009 2010 2011 2012 2013 2014 2015 2016Year
4_H
IV
4_P
roce
ss_i
nput
HIV testingcoverage(including ANC)
Male condomdistributioncoverage
Medical malecircumcisionrate
20
40
60
100
200
0
20
40
6080
GP, JHB, City of Johannesburg Metropolitan Municipality, SEQ 5 (leastdeprived)
Measure NamesIndValueProv_avZA_av
Section B: National and District Profiles
417
Section B: Profile Gauteng Province
417
Annual trends HIV
Annual trends TB
418
Section B: National and District Profiles
418
Section B: Profile Gauteng Province
TB
Im
pact
Out
com
eO
utpu
tPr
oces
s &
inpu
t
TB d
eath
rate
(E
TR.n
et) (
%)
TB D
R cl
ient
de
ath
rate
(E
DR
Web
) (%
)
TB c
lient
loss
to
follo
w u
p ra
te
(ETR
.Net
) (%
)
TB c
lient
tr
eatm
ent
succ
ess
rate
(E
TR.n
et) (
%)
TB D
R cl
ient
loss
to
follo
w u
p ra
te
(ED
RW
eb) (
%)
TB D
R tr
eatm
ent
succ
ess
rate
(E
DR
Web
) (%
)
TB R
ifam
pici
n re
sist
ance
co
nfirm
ed c
lient
ra
te (%
)
TB R
ifam
pici
n re
sist
ant c
lient
s tr
eatm
ent
initi
atio
n ra
te (%
)
TB/H
IV c
o-in
fect
ed c
lient
on
AR
T ra
te (E
TR.
Net
) (%
)
TB c
lient
initi
ated
on
trea
tmen
t ra
te (%
)
TB s
ympt
om 5
ye
ars
and
olde
r sc
reen
ed in
fa
cilit
y ra
te (%
)
2015
2014
2015
2015
2014
2014
2016
2016
2016
2016
2016
/17
Joha
nnes
burg
A S
DIn
dica
tor
5.2
-5.
187
.7 -
- -
-95
.9 -
76.8
Num
erat
or11
4 -
113
1 94
1 -
- -
-1
207
-55
1 86
9
Den
omin
ator
2 21
2 -
2 21
22
212
- -
- -
1 25
9 -
718
173
Joha
nnes
burg
B S
DIn
dica
tor
3.7
-5.
887
.1 -
- -
-96
.1 -
85.1
Num
erat
or22
-34
515
- -
- -
372
-18
2 87
1
Den
omin
ator
591
-59
159
1 -
- -
-38
7 -
214
996
Joha
nnes
burg
C S
DIn
dica
tor
3.7
-5.
987
.9 -
- -
-93
.0 -
43.8
Num
erat
or40
-63
941
- -
- -
614
-28
1 06
1
Den
omin
ator
1 07
0 -
1 07
01
070
- -
- -
660
-64
1 34
0
Joha
nnes
burg
D S
DIn
dica
tor
5.6
-6.
785
.7 -
- -
-89
.2 -
53.0
Num
erat
or30
5 -
363
4 65
7 -
- -
-2
815
-1
253
252
Den
omin
ator
5 43
6 -
5 43
65
436
- -
- -
3 15
6 -
2 36
3 07
5
Joha
nnes
burg
E S
DIn
dica
tor
4.6
-6.
086
.7 -
- -
-87
.4 -
90.9
Num
erat
or77
-99
1 43
7 -
- -
-97
2 -
402
437
Den
omin
ator
1 65
8 -
1 65
81
658
- -
- -
1 11
2 -
442
693
Joha
nnes
burg
F S
DIn
dica
tor
2.4
-8.
284
.7 -
- -
-87
.1 -
64.1
Num
erat
or65
-22
32
317
- -
- -
1 34
1 -
546
134
Den
omin
ator
2 73
5 -
2 73
52
735
- -
- -
1 54
0 -
851
609
Joha
nnes
burg
G S
DIn
dica
tor
6.3
-5.
487
.2 -
- -
-93
.2 -
38.4
Num
erat
or18
6 -
159
2 58
0 -
- -
-1
675
-40
7 54
1
Den
omin
ator
2 95
8 -
2 95
82
958
- -
- -
1 79
7 -
1 06
2 36
6
Joha
nnes
burg
In
dica
tor
4.9
20.0
6.3
86.4
13.2
58.3
5.4
58.2
90.8
77.1
57.6
Num
erat
or80
913
31
054
14 3
8888
388
701
408
8 99
69
971
3 62
5 16
5
Den
omin
ator
16 6
6066
616
660
16 6
6066
666
612
929
701
9 91
112
929
6 29
4 25
2
Gau
teng
Indi
cato
r6.
320
.25.
984
.915
.955
.65.
755
.690
.380
.071
.9
Sout
h Af
rica
Indi
cato
r6.
623
.06.
481
.017
.950
.56.
268
.088
.372
.851
.6
Sour
ce:
DH
IS.
2010 2011 2012 2013 2014 2015 2016 2017Year
6_NCDs
2_Outcome
Diabetesincidence
Hypertensionincidence
0
5
20
40
GP, JHB, City of Johannesburg Metropolitan Municipality, SEQ 5 (leastdeprived)
Measure NamesIndValueProv_avZA_av
Section B: National and District Profiles
419
Section B: Profile Gauteng Province
419
Non-communicable diseases
Outcome
Diabetes incidence
(per1K)
Hypertension incidence
(per1K)
2016/17 2016/17
Johannesburg A SD Indicator 1.2 16.4
Numerator 849 2 950
Denominator 8 376 789 2 156 385
Johannesburg B SD Indicator 0.6 5.8
Numerator 194 881
Denominator 4 158 342 1 830 411
Johannesburg C SD Indicator 2.0 10.4
Numerator 1 471 2 592
Denominator 8 622 282 2 995 431
Johannesburg D SD Indicator 2.2 23.0
Numerator 2 788 9 813
Denominator 15 080 421 5 114 091
Johannesburg E SD Indicator 0.4 6.7
Numerator 240 1 363
Denominator 6 479 637 2 448 087
Johannesburg F SD Indicator 2.2 12.1
Numerator 1 597 2 684
Denominator 8 638 050 2 656 200
Johannesburg G SD Indicator 13.6 28.9
Numerator 10 284 6 908
Denominator 9 096 375 2 863 584
Johannesburg Indicator 3.5 16.3
Numerator 17 423 27 191
Denominator 60 451 896 20 064 189
Gauteng Indicator 3.2 19.8
South Africa Indicator 2.5 18.9
Source: DHIS.
Annual trends
Sub-district value in red – improvement strategies are urgently needed
Value highlighted in yellow – performance is ranked among the 10 best in the country
Value highlighted in red – performance is ranked among the 10 worst in the country
420
Section B: National and District Profiles
420
Section B: Profile Gauteng Province
Tshwane Metropolitan Municipality (TSH)
Tshwane is situated in Gauteng Province and is divided into seven health sub-districts, named Tshwane Sub-district 1 to Tshwane Sub-district 7. It has a population of 3 323 240, with a population density of 527.7 people per km2, and falls in socio-economic Quintile 5, among the wealthiest districts. Estimated medical scheme coverage is 30.5%. It is one of 11 National Health Insurance (NHI) pilot districts.
Social determinants of healtha
Unemployment ratea 24.2%
Youth unemployment rate (15-34 years)a 32.6%
No schooling 5.4%
Matric 38.5%
Higher education 19.8%
Households 1 136 877
Female-headed households 37.5%
Formal dwellings 82.6%
Flush toilet connected to sewerage 77.2%
Weekly refuse removal 79.4%
Piped water inside dwellings 62.1%
Electricity for lighting 91.8%
Blue Drop water score 94.4%
Source: StatsSA. 2014 Blue Drop Report.
Population distribution sub-district boundaries and health facility locations
a Statistics South Africa. Census 2011 Municipal fact sheet. Report No. 03-01-58. Pretoria: Statistics SA; 2012.
Population per selected category
Population category 2017 2018 2019 2020
under 1 year 66 350 67 375 66 847 65 109
under 5 years 316 100 321 080 323 262 323 103
05-09 years 288 910 294 012 300 304 307 922
10-14 years 268 810 275 818 281 181 285 920
15-19 years 237 475 249 581 260 654 268 991
20-24 years 286 892 283 381 282 018 283 927
25-29 years 334 585 335 314 336 383 337 006
30-34 years 309 959 322 183 336 033 351 080
35-39 years 286 473 290 402 292 412 293 220
40-44 years 244 414 251 591 258 914 265 943
45-49 years 207 471 212 748 217 910 223 392
50-54 years 167 205 173 638 180 312 186 649
55-59 years 137 557 140 540 143 627 147 358
60-64 years 107 124 111 521 115 819 119 786
65-69 years 77 089 80 358 83 798 87 342
70-74 years 53 797 55 653 57 655 59 940
75-79 years 30 207 33 160 35 857 38 205
80 years and older 22 500 23 775 25 087 26 445
Total 3 376 566 3 454 751 3 531 230 3 606 241
Estimated pregnant women* 70 995 72 091 71 526 69 667
Source: Mid-Year Population Estimates 2016 StatsSA. * Under 1 year population X 1.07.
Section B: National and District Profiles
421
Section B: Profile Gauteng Province
421
Number of facilities by level, 2016/17
Ward based outreach
teams Clinic CHCDistrict Hospital
Regional Hospital
Central/Tertiary
HospitalsOther
Hospitals
Tshwane 1 SD 35 18 3 1 0 1 2
Tshwane 2 SD 17 12 1 1 0 0 1
Tshwane 3 SD 15 13 1 2 0 2 21
Tshwane 4 SD 6 5 0 0 0 0 5
Tshwane 5 SD 8 6 0 0 0 0 2
Tshwane 6 SD 25 8 2 0 1 0 8
Tshwane 7 SD 12 6 1 1 0 0 0
Tshwane 118 68 8 5 1 3 39
Source: DHIS.
Human resources – filled posts, 2016
Community Health
WorkersNursing
assistantsEnrolled
nurseProfessional
nurseMedical
practitioners PharmacistsDental
practitionersOccupational
therapy Physiotherapy
Speech Therapy and Audiology
Tshwane 1 034 1 966 2 135 3 928 1 002 340 121 99 86 38
Source: Persal, DHIS.
Management and efficiency indicators for the service delivery platform, 2016/17
PHC Management
Output Process & input
PHC utilisation rate (No)
Percentage Ideal clinics
(%)
Percentage of assessed PHC facilities with 90% of tracer
medicines available (%)
Provincial and LG
District Health Services
expenditure per capita
(uninsured) (Rand)
Provincial and LG PHC expenditure per capita
(uninsured) (Rand)
Provincial and LG PHC expenditure
per PHC headcount
(Rand)
2016/17 2016/17 2016/17 2016/17 2016/17 2016/17
Tshwane 1 SD Indicator 2.1 - - - - -
Numerator 1 905 349 - - - - -
Denominator 11 127 699 - - - - -
Tshwane 2 SD Indicator 1.7 - - - - -
Numerator 648 527 - - - - -
Denominator 4 696 416 - - - - -
Tshwane 3 SD Indicator 1.2 - - - - -
Numerator 776 718 - - - - -
Denominator 7 936 245 - - - - -
Tshwane 4 SD Indicator 0.5 - - - - -
Numerator 218 016 - - - - -
Denominator 5 243 286 - - - - -
Tshwane 5 SD Indicator 2.3 - - - - -
Numerator 236 176 - - - - -
Denominator 1 256 694 - - - - -
Tshwane 6 SD Indicator 1.0 - - - - -
Numerator 670 037 - - - - -
Denominator 8 340 855 - - - - -
Tshwane 7 SD Indicator 1.6 - - - - -
Numerator 207 426 - - - - -
Denominator 1 514 760 - - - - -
Tshwane Indicator 1.4 90.4 98.6 1 559 1 044 517
Numerator 4 662 249 66 72 3 600 833 302 2 410 898 043 2 410 898 043
Denominator 40 115 955 73 73 2 310 268 2 310 268 4 662 249
Gauteng Indicator 1.6 58.1 93.7 1 414 1 106 503
South Africa Indicator 2.3 29.8 78.4 1 726 1 054 389
Source: DHIS.
422
Section B: National and District Profiles
422
Section B: Profile Gauteng Province
Hos
pita
l
Dis
tric
t Hos
pita
lR
egio
nal H
ospi
tal
Tert
iary
/Cen
tral
Hos
pita
l
Aver
age
leng
th o
f st
ay -
tota
l (D
ays)
Expe
nditu
re
per p
atie
nt
day
equi
vale
nt
(Ran
d)
Inpa
tient
bed
ut
ilisa
tion
rate
- to
tal
(%)
Inpa
tient
cr
ude
deat
h ra
te (%
)
OPD
new
cl
ient
not
re
ferr
ed ra
te
(%)
Aver
age
leng
th o
f st
ay -
tota
l (D
ays)
Expe
nditu
re
per p
atie
nt
day
equi
vale
nt
(Ran
d)
Inpa
tient
bed
ut
ilisa
tion
rate
- to
tal
(%)
Inpa
tient
cr
ude
deat
h ra
te (%
)
OPD
new
cl
ient
not
re
ferr
ed ra
te
(%)
Aver
age
leng
th o
f st
ay -
tota
l (D
ays)
Expe
nditu
re
per p
atie
nt
day
equi
vale
nt
(Ran
d)
Inpa
tient
bed
ut
ilisa
tion
rate
- to
tal
(%)
Inpa
tient
cr
ude
deat
h ra
te (%
)
OPD
new
cl
ient
not
re
ferr
ed ra
te
(%)
Tshw
ane
1 SD
Indi
cato
r3.
62
665
66.5
5.4
36.5
- -
- -
-8.
13
802
77.7
6.2
32.4
Num
erat
or53
236
253
996
095
53 2
3679
78
233
- -
- -
-43
2 44
42
243
247
296
432
444
3 32
029
573
Den
omin
ator
14 6
5495
308
80 0
9614
654
22 5
68 -
- -
- -
53 1
8759
0 06
555
6 62
553
187
91 4
07
Tshw
ane
2 SD
Indi
cato
r6.
12
802
65.9
4.0
23.7
- -
- -
- -
- -
- -
Num
erat
or97
746
378
702
527
97 7
4664
32
587
- -
- -
- -
- -
- -
Den
omin
ator
16 1
2513
5 16
614
8 35
816
125
10 9
04 -
- -
- -
- -
- -
-
Tshw
ane
3 SD
Indi
cato
r3.
93
070
58.9
3.5
44.3
- -
- -
-7.
64
014
81.8
5.5
33.6
Num
erat
or75
481
462
256
708
75 4
8168
82
689
- -
- -
-49
6 75
32
987
900
491
496
753
3 59
254
162
Den
omin
ator
19 4
7215
0 59
012
8 19
019
472
6 06
6 -
- -
- -
65 3
9274
4 43
060
6 90
965
392
160
963
Tshw
ane
6 SD
Indi
cato
r -
- -
- -
4.6
3 52
379
.84.
86.
3 -
- -
- -
Num
erat
or -
- -
- -
93 7
4843
8 37
1 43
693
748
980
1 25
6 -
- -
- -
Den
omin
ator
- -
- -
-20
504
124
449
117
482
20 5
0419
923
- -
- -
-
Tshw
ane
7 SD
Indi
cato
r2.
81
612
45.8
3.4
71.0
- -
- -
- -
- -
- -
Num
erat
or7
419
20 8
07 4
027
419
904
564
- -
- -
- -
- -
- -
Den
omin
ator
2 63
812
908
16 1
832
638
6 43
1 -
- -
- -
- -
- -
-
Tshw
ane
Indi
cato
r4.
42
832
62.7
4.2
39.3
4.6
3 52
379
.84.
86.
37.
83
920
79.9
5.8
33.2
Num
erat
or23
3 88
11
115
762
732
233
881
2 21
818
073
93 7
4843
8 37
1 43
693
748
980
1 25
692
9 19
75
231
147
787
929
197
6 91
283
735
Den
omin
ator
52 8
8939
3 97
237
2 82
852
889
45 9
6920
504
124
449
117
482
20 5
0419
923
118
579
1 33
4 49
51
163
535
118
579
252
370
Gau
teng
Indi
cato
r4.
42
902
65.1
4.4
52.5
5.1
2 87
581
.65.
128
.47.
23
657
81.5
6.0
20.5
Sout
h Af
rica
Indi
cato
r4.
42
568
67.4
5.1
59.3
5.3
2 89
478
.35.
037
.26.
94
227
84.3
5.4
20.3
Sour
ce:
DH
IS a
nd B
AS.
2008 2010 2012 2014 2016 2018Year
1_M
anag
emen
t
1_Im
pact
Inpatient crudedeath rate
2_O
utco
me
Average lengthof stay (districthospitals)
Expenditure perpatient dayequivalent(districthospitals)
3_O
utpu
t
Inpatient bedutilisation rate(districthospitals)
OPD new clientnot referred rate(districthospitals)
4_P
roce
ss_i
nput
PercentageIdeal clinics
Provincial andLG DistrictHealth Servicesexpenditure percapita(uninsured)
Provincial andLG PHCexpenditure percapita(uninsured)
Provincial andLG PHCexpenditure perPHC headcount
2
4
6
8
2
4
6
8
1K
2K
3K
4K
50
100
0
50
100
0
50
100
1K
2K
3K
500
1000
1500
200
400
GP, TSH, City of Tshwane Metropolitan Municipality, SEQ 5 (least deprived)
Measure NamesIndValueProv_avZA_av
Meas ure NamesIndV alue
P rov_av
ZA_av
Section B: National and District Profiles
423
Section B: Profile Gauteng Province
423
Annual trends Management and efficiency indicators for the service delivery platform, 2016/17
D
ata
Elem
ent
(Num
ber)
2014
/15
2015
/16
2016
/17
PHC
/ CH
C / M
OU
*D
istr
ict
Hos
pita
lR
egio
nal
Hos
pita
l
Cen
tral
/te
rtia
ry
Hos
pita
lD
istr
ict
Tota
lPH
C / C
HC
/ MO
UD
istr
ict
Hos
pita
lR
egio
nal
Hos
pita
l
Cen
tral
/te
rtia
ry
Hos
pita
lD
istr
ict
Tota
lPH
C / C
HC
/ MO
UD
istr
ict
Hos
pita
lR
egio
nal
Hos
pita
l
Cen
tral
/te
rtia
ry
hosp
ital
Dis
tric
t To
tal
Mat
erna
l dea
ths
14
324
32-
58
2942
-12
1153
76
Live
birt
hs9
083
13 2
918
390
19 3
8450
148
8 33
712
727
8 15
419
376
48 5
948
140
13 9
458
181
19 1
0949
375
Still
birth
s77
198
165
609
1 04
974
155
140
630
999
7717
914
560
81
009
Child (under 5 years)
Infant (under 1
year)
Neo-natal
Dea
th in
faci
lity
0-7d
ays
2170
114
364
569
1973
104
292
488
759
8834
850
2
Dea
th in
faci
lity
8-28
day
s -
353
7311
1-
288
175
211
216
2017
621
4
Dea
th in
faci
lity
29 d
ays
- 11
mon
ths
-8
914
416
1-
33-
140
173
-20
2216
120
3
Dea
th in
faci
lity
12 –
59
mon
ths
-14
1490
118
-34
-14
117
5-
2627
184
237
Dia
rrho
ea d
eath
und
er 5
yea
rs
-1
415
20-
213
1025
-7
624
37
Pneu
mon
ia d
eath
und
er 5
yea
rs-
24
3339
--
149
50-
38
2536
Seve
re a
cute
mal
nutri
tion
deat
h un
der 5
yea
rs
-7
917
33-
96
1429
-21
812
41
TB D
eath
s 5
992
--
-5
992
5 46
7-
--
5 46
7-
--
--
Inpa
tient
dea
th to
tal
-2
256
838
5 63
18
725
192
306
951
6 25
19
527
92
218
980
6 91
210
119
Patie
nt d
ay e
quiv
alen
t-
374
409
103
856
1 25
5 04
71
733
312
6 69
839
9 49
411
3 75
11
282
602
1 80
2 54
515
607
393
972
124
449
1 33
4 49
41
868
522
Sour
ce:
DH
IS. *
MO
U –
Mat
erna
l Obs
tetr
ic U
nit.
Deaths and Patient day equivalent 2014/15 – 2016/17
AgeGroup.. Female Male<5 years
5-1415-2425-64
65+Total 18%
11%16%
24%27%
68%
17%2%
30%34%
19%7%
60%84%
49%26%
31%19%
5%3%
5%17%
22%6%
16%9%13%10%
24%67%
19%4%
28%12%
17%7%
52%83%
43%23%
31%18%
13%4%
16%55%
27%8%
GP, Tshwane: TSH, 2010 - 2015
Rank.. Female Male
<5 y
ears
12345678910
5-14
12345678910
15-2
4
12345678910
25-6
4
12345678910
65+
12345678910
Other congenital abnormalities (2.5%)
Congenital heart anomalies (3.4%)
Sepsis/other newborn infectious (4.8%)Birth asphyxia (5.7%)
Protein-energy malnutrition (4.0%)
Preterm birth complications (11.7%)
Septicaemia (2.6%)
Diarrhoeal diseases (17.1%)Lower respiratory infections (17.1%)
HIV/AIDS (5.7%)
Congenital heart anomalies (3.2%)
Other neoplasms (2.8%)Fires, hot substances (3.0%)
Meningitis/encephalitis (4.0%)Accidental threats to breathing (3.9%)
Road injuries (11.1%)
Diarrhoeal diseases (7.3%)
Lower respiratory infections (10.6%)Tuberculosis (8.6%)
HIV/AIDS (11.7%)
Cardiomyopathy (2.5%)Endocrine nutritional,blood, immune (2.4%)
Meningitis/encephalitis (2.8%)Mechanical forces (3.2%)
Accidental threats to breathing (4.2%)Road injuries (4.4%)
Diarrhoeal diseases (3.4%)
Lower respiratory infections (10.8%)Tuberculosis (15.1%)
HIV/AIDS (19.3%)
Breast (3.5%)Cervix (3.2%)Nephritis/nephrosis (3.0%)
Hypertensive heart disease (3.7%)Diabetes mellitus (3.9%)Ischaemic heart disease (4.2%)Cerebrovascular disease (5.0%)
Lower respiratory infections (8.1%)Tuberculosis (12.2%)
HIV/AIDS (17.5%)
Alzheimer’s and other dementias (2.3%)Breast (2.6%)
Cardiomyopathy (2.0%)
COPD (3.0%)Nephritis/nephrosis (4.8%)
Hypertensive heart disease (12.8%)
Diabetes mellitus (7.5%)Ischaemic heart disease (11.5%)
Cerebrovascular disease (13.1%)
Lower respiratory infections (6.3%)
Congenital heart anomalies (3.4%)Other perinatal conditions (2.8%)
Sepsis/other newborn infectious (4.7%)
Birth asphyxia (6.9%)
Protein-energy malnutrition (3.7%)
Preterm birth complications (11.7%)
Septicaemia (2.5%)
Diarrhoeal diseases (16.9%)Lower respiratory infections (15.8%)
HIV/AIDS (5.3%)
Leukaemia (3.5%)
Drowning (7.3%)
Other respiratory (2.9%)Meningitis/encephalitis (3.2%)
Accidental threats to breathing (4.6%)
Road injuries (9.5%)
Diarrhoeal diseases (7.7%)Lower respiratory infections (8.4%)Tuberculosis (8.5%)
HIV/AIDS (9.5%)
Leukaemia (2.4%)Drowning (2.8%)
Fires, hot substances (2.1%)
Mechanical forces (12.9%)Accidental threats to breathing (14.1%)
Interpersonal violence (7.5%)Road injuries (12.2%)
Lower respiratory infections (5.0%)
Tuberculosis (6.3%)HIV/AIDS (5.7%)
Mechanical forces (4.0%)
Accidental threats to breathing (3.2%)Road injuries (4.0%)
Nephritis/nephrosis (3.0%)Diabetes mellitus (2.9%)
Ischaemic heart disease (6.7%)Cerebrovascular disease (4.6%)
Lower respiratory infections (7.0%)Tuberculosis (13.5%)HIV/AIDS (14.9%)
Prostate (5.2%)
Trachea/bronchi/lung (3.2%)
COPD (5.6%)
Nephritis/nephrosis (5.3%)Hypertensive heart disease (5.5%)
Diabetes mellitus (5.1%)
Ischaemic heart disease (15.2%)Cerebrovascular disease (10.4%)
Lower respiratory infections (5.6%)
Tuberculosis (3.1%)
Rank.. Maternal conditions All other causes
Fem
ale
15-4
9
12345678910
Maternal sepsis (3.8%) n=14
Abortion (11.6%) n=41Maternal haemorrhage (6.6%) n=23
Hypertension in pregnancy (18.5%) n=66Other maternal (25.1%) n=89
Indirect maternal (34.3%) n=122
Breast (2.3%) n=451Ischaemic heart disease (2.3%) n=437
Cervix (2.6%) n=498Nephritis/nephrosis (2.4%) n=460
Cerebrovascular disease (2.8%) n=532
Meningitis/encephalitis (2.2%) n=429
Diarrhoeal diseases (3.5%) n=682Lower respiratory infections (10.1%) n=1 953
Tuberculosis (15.9%) n=3 073HIV/AIDS (23.5%) n=4 542
Percentage ofdeaths by broad
causes andsingle leading
causes
BroadcauseInjury
NCD
HIV and TB
Comm_mat_peri_nut
Prov, DistrictGP, Tshwane: TSH
Show history
Percentages are shownaccording to all the deaths
within the age/gendercategory of each box,
although only the leading10 causes are displayed.
424
Section B: National and District Profiles
424
Section B: Profile Gauteng Province
Burden of disease profile
For the percentage of deaths by broad cause, deaths are classified into four groups namely: (i) injuries; (ii) non-communicable diseases; (iii) HIV and TB; and (iv) communicable diseases together with maternal perinatal and nutritional conditions. Data are given by gender and age group for the period 2010–2015. The second part of the graph shows the 10 leading single causes of death within each age group (both genders) for 2010–2015 combined.
Percentage of deaths by broad cause and leading causes 2010–2015
2009 2010 2011 2012 2013 2014 2015 2016Year
2_M
ater
nal a
nd w
omen
's h
ealth
1_Im
pact Maternal
mortality infacility ratio
2_O
utco
me
Antenatal 1stvisit before 20weeks rate
Couple yearprotection rate(WHO)
Delivery infacility under 18years rate
Motherpostnatal visitwithin 6 daysrate
3_O
utpu
t
Antenatal clientinitiated on ARTrate
Cervical cancerscreeningcoverage
0
200
400
600
800
20
40
60
80
100
200
5
10
15
0
100
200
50
100
150
200
50
100
150
GP, TSH, City of Tshwane Metropolitan Municipality, SEQ 5 (least deprived)
Measure NamesIndValueProv_avZA_av
Section B: National and District Profiles
425
Section B: Profile Gauteng Province
425
Maternal and Women’s Health
Impact Outcome Output
Maternal mortality in facility ratio (per100K)
Antenatal client initiated
on ART rate (%)
Delivery in facility under 18 years rate
(%)
Antenatal 1st
visit before 20 weeks rate (%)
Cervical cancer
screening coverage (%)
Couple year protection rate
(WHO) (%)
Mother postnatal visit within 6 days
rate (%)
2016/17 2016/17 2016/17 2016/17 2016/17 2016/17 2016/17
Tshwane 1 SD Indicator 146.1 97.2 5.6 62.7 72.0 39.3 113.2
Numerator 25 2 771 948 10 876 16 169 103 028 19 291
Denominator 17 110 2 852 17 037 17 333 2 695 667 3 143 313 17 037
Tshwane 2 SD Indicator 162.9 95.6 7.2 64.1 64.7 14.6 89.8
Numerator 9 849 398 3 762 6 382 15 334 4 962
Denominator 5 526 888 5 525 5 873 118 349 1 263 555 5 525
Tshwane 3 SD Indicator 188.3 97.0 2.3 53.7 59.7 170.0 45.4
Numerator 31 1 656 388 8 509 10 215 346 684 7 579
Denominator 16 464 1 707 16 680 15 838 205 469 2 447 454 16 680
Tshwane 4 SD Indicator - 94.0 - 60.1 22.2 11.3 -
Numerator - 420 - 1 917 2 666 14 703 1 062
Denominator - 447 - 3 188 143 947 1 567 527 -
Tshwane 5 SD Indicator - 98.7 - 55.2 59.5 73.1 -
Numerator - 466 - 2 027 1 491 20 602 1 807
Denominator - 472 - 3 671 30 083 338 421 -
Tshwane 6 SD Indicator 116.0 92.6 4.1 57.1 41.1 10.4 54.3
Numerator 11 1 208 391 6 673 7 537 20 601 5 158
Denominator 9 483 1 304 9 498 11 692 220 209 2 376 120 9 498
Tshwane 7 SD Indicator - 96.0 3.7 62.5 67.0 9.5 227.2
Numerator - 362 30 1 340 1 947 3 279 1 847
Denominator 792 377 813 2 145 34 856 415 752 813
Tshwane Indicator 153.9 96.1 4.3 58.8 54.5 54.5 84.2
Numerator 76 7 732 2 155 35 104 46 407 524 232 41 706
Denominator 49 375 8 047 49 553 59 740 1 022 480 11 552 142 49 553
Gauteng Indicator 119.2 94.8 4.7 58.4 50.3 58.1 85.9
South Africa Indicator 116.9 95.1 6.8 65.2 61.5 70.2 70.3
Source: DHIS.
Annual trends
426
Section B: National and District Profiles
426
Section B: Profile Gauteng Province
Child and School Health
Im
pact
Out
com
eO
utpu
t
Chi
ld u
nder
5
year
s di
arrh
oea
case
fata
lity
rate
(%)
Chi
ld u
nder
5
year
s pn
eum
onia
ca
se fa
talit
y ra
te (%
)
Chi
ld u
nder
5
year
s se
vere
acu
te
mal
nutr
ition
ca
se fa
talit
y ra
te (%
)
Inpa
tient
de
ath
unde
r 1
year
rate
(%)
Inpa
tient
de
ath
unde
r 5
year
rate
(%)
Inpa
tient
ea
rly n
eona
tal
deat
h ra
te
(per
1K)
Inpa
tient
ne
onat
al
deat
h ra
te
(per
1K)
Infa
nt P
CR
test
pos
itive
ar
ound
10
wee
ks ra
te
(%)
Imm
unis
atio
n co
vera
ge
unde
r 1 y
ear
(%)
Infa
nt
excl
usiv
ely
brea
stfe
d at
D
TaP-
IPV-
Hib
-HB
V 3rd
do
se ra
te (%
)
Mea
sles
2nd
dos
e co
vera
ge (%
)
Scho
ol G
rade
1
scre
enin
g co
vera
ge (%
)
Scho
ol G
rade
8
scre
enin
g co
vera
ge (%
)
Vita
min
A
dose
12-
59
mon
ths
cove
rage
(%)
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
Tshw
ane
1 SD
Indi
cato
r1.
71.
54.
217
.39.
812
.720
.02.
988
.670
.791
.476
.345
.852
.7
Num
erat
or15
159
392
442
218
342
6113
323
9 05
214
569
11 3
885
018
70 2
57
Den
omin
ator
880
1 02
921
42
267
4 48
817
110
17 1
102
088
180
375
12 8
0219
1 17
814
923
10 9
641
599
768
Tshw
ane
2 SD
Indi
cato
r1.
04.
816
.844
.96.
47.
410
.11.
286
.264
.392
.767
.938
.962
.9
Num
erat
or2
219
7094
4156
114
982
3 45
95
869
4 20
61
937
34 6
15
Den
omin
ator
207
4211
315
61
475
5 52
65
526
881
69 3
575
377
75 9
996
194
4 97
566
0 79
2
Tshw
ane
3 SD
Indi
cato
r2.
00.
93.
45.
65.
19.
312
.64.
810
2.0
44.9
102.
439
.311
.655
.1
Num
erat
or14
115
326
462
153
208
447
690
3 52
98
083
3 91
596
135
681
Den
omin
ator
686
1 18
614
85
791
9 01
416
464
16 4
6492
290
510
7 85
694
719
9 95
68
286
777
552
Tshw
ane
4 SD
Indi
cato
r -
- -
- -
- -
5.9
43.8
44.4
38.9
38.3
4.9
19.6
Num
erat
or -
- -
- -
- -
82
899
1 20
12
549
1 61
512
810
079
Den
omin
ator
- -
- -
- -
-13
579
389
2 70
678
660
4 22
12
603
616
638
Tshw
ane
5 SD
Indi
cato
r -
- -
- -
- -
3.9
137.
050
.317
0.4
65.6
60.9
82.6
Num
erat
or -
- -
- -
- -
112
208
1 16
32
747
896
772
10 6
17
Den
omin
ator
- -
- -
- -
-27
919
344
2 31
419
344
1 36
51
267
154
194
Tshw
ane
6 SD
Indi
cato
r4.
54.
717
.019
.217
.89.
511
.63.
367
.649
.670
.249
.841
.438
.8
Num
erat
or6
88
132
159
9011
025
7 21
73
027
7 46
33
638
2 23
732
512
Den
omin
ator
133
169
4768
889
39
483
9 48
374
812
8 15
46
101
127
506
7 30
15
400
1 00
5 50
4
Tshw
ane
7 SD
Indi
cato
r -
- -
3.0
1.7
2.5
2.5
7.6
76.8
64.4
78.7
92.2
93.1
47.7
Num
erat
or-
- -
22
22
231
407
1 03
01
595
2 42
72
037
8 52
0
Den
omin
ator
4447
1266
118
792
792
301
21 9
841
600
24 3
062
633
2 18
721
4 47
6
Tshw
ane
Indi
cato
r1.
91.
57.
710
.37.
210
.214
.53.
480
.958
.084
.160
.336
.748
.3
Num
erat
or37
3641
922
1 15
950
471
818
339
726
22 4
6142
875
28 0
8513
090
202
281
Den
omin
ator
1 95
02
473
534
8 96
815
993
49 3
7549
375
5 35
458
9 11
338
756
611
712
559
116
428
184
5 02
8 92
4
Gau
teng
Indi
cato
r1.
71.
56.
59.
76.
710
.013
.61.
796
.744
.010
5.7
49.5
35.4
61.5
Sout
h Af
rica
Indi
cato
r2.
02.
08.
06.
34.
49.
912
.41.
382
.341
.696
.233
.019
.858
.0
Sour
ce:
DH
IS.
2009 2010 2011 2012 2013 2014 2015 2016Year
3_C
hild
and
sch
ool h
ealth
1_Im
pact
Child under 5years diarrhoeacase fatality rate
Child under 5yearspneumoniacase fatality rate
Child under 5years severeacutemalnutritioncase fatality rate
Inpatient earlyneonatal deathrate
3_O
utpu
t
Immunisationcoverage under1 year
Infantexclusivelybreastfed atDTaP-IPV-Hib-HBV 3rd doserate
Measles 2nddose coverage
School Grade 1screeningcoverage
0
50
100
0
10
20
30
0
20
40
60
0
10
20
50
100
150
20
40
60
80
50
100
150
0
50
100
GP, TSH, City of Tshwane Metropolitan Municipality, SEQ 5 (least deprived)
Measure NamesIndValueProv_avZA_av
2009 2010 2011 2012 2013 2014 2015 2016Year
4_H
IV
4_P
roce
ss_i
nput
HIV testingcoverage(including ANC)
Male condomdistributioncoverage
Medical malecircumcisionrate
20
40
60
100
200
0
20
40
6080
GP, TSH, City of Tshwane Metropolitan Municipality, SEQ 5 (least deprived)
Measure NamesIndValueProv_avZA_av
Section B: National and District Profiles
427
Section B: Profile Gauteng Province
427
Annual trends Child and School Health
Annual trends HIV
428
Section B: National and District Profiles
428
Section B: Profile Gauteng Province
HIV
3rd
90-
90-9
02nd
90-
90-9
01st
90-9
0-90
Out
com
eO
utpu
tPr
oces
s &
inpu
t
Adu
lt w
ith v
iral
load
com
plet
ion
rate
at 1
2 m
onth
s (%
)
Chi
ld w
ith v
iral
load
com
plet
ion
rate
at 1
2 m
onth
s (%
)
Adu
lt w
ith v
iral
load
sup
pres
sed
rate
12
mon
ths
(%)
Chi
ld w
ith v
iral
load
sup
pres
sed
rate
12
mon
ths
(%)
Adu
lt pe
rcen
tage
on
AR
T af
ter 1
2 m
onth
s (%
)
Chi
ld p
erce
ntag
e on
AR
T af
ter 1
2 m
onth
s (%
)C
lient
s re
mai
ning
on
AR
T ra
te (%
)
HIV
test
pos
itive
cl
ient
15
year
s an
d ol
der r
ate
(incl
udin
g A
NC
) (%
)
HIV
test
ing
cove
rage
(in
clud
ing
AN
C)
(%)
Mal
e co
ndom
di
strib
utio
n co
vera
ge (N
o)
Med
ical
mal
e ci
rcum
cisi
on ra
te
(per
1K)
2015
2015
2015
2015
2015
2015
2016
/17
2016
/17
2016
/17
2016
/17
2016
/17
Tshw
ane
1 SD
Indi
cato
r52
.354
.390
.373
.675
.583
.9 -
-26
.920
.828
.7
Num
erat
or -
144
-10
6 -
422
- -
142
306
7 08
3 95
410
864
Den
omin
ator
8 36
526
54
379
144
11 3
3250
3 -
-6
356
367
4 08
0 57
94
541
739
Tshw
ane
2 SD
Indi
cato
r58
.442
.288
.580
.074
.480
.3 -
-23
.01.
612
.3
Num
erat
or -
35 -
28 -
139
- -
48 7
2223
0 70
61
940
Den
omin
ator
2 53
483
1 47
935
3 60
517
3 -
-2
540
088
1 68
0 42
91
896
318
Tshw
ane
3 SD
Indi
cato
r71
.673
.792
.071
.476
.984
.7 -
-27
.113
5.4
11.3
Num
erat
or -
42 -
30 -
122
- -
113
160
36 8
74 0
883
285
Den
omin
ator
4 27
757
3 06
142
5 85
514
4 -
-5
006
844
3 26
9 02
23
501
492
Tshw
ane
4 SD
Indi
cato
r75
.484
.689
.363
.677
.675
.9 -
-6.
35.
710
.3
Num
erat
or -
11 -
7 -
22 -
-17
254
1 01
8 80
01
970
Den
omin
ator
1 51
813
1 14
511
2 20
329
- -
3 26
2 00
22
134
401
2 29
8 35
7
Tshw
ane
5 SD
Indi
cato
r66
.654
.590
.110
0.0
69.9
89.7
- -
30.1
40.0
2.3
Num
erat
or -
6 -
6 -
26 -
-18
992
1 77
0 00
010
9
Den
omin
ator
1 58
011
1 05
36
2 25
929
- -
757
176
531
438
578
550
Tshw
ane
6 SD
Indi
cato
r55
.263
.890
.370
.080
.686
.8 -
-16
.20.
213
.5
Num
erat
or -
60 -
42 -
138
- -
67 4
4769
000
4 10
2
Den
omin
ator
3 48
194
1 92
260
4 40
415
9 -
-5
001
453
3 36
8 96
13
645
600
Tshw
ane
7 SD
Indi
cato
r47
.444
.783
.552
.938
.158
.2 -
-29
.50.
133
.7
Num
erat
or -
17-
9-
46 -
-21
047
6 00
01
757
Den
omin
ator
639
3830
317
1 70
079
- -
855
273
551
829
626
379
Tshw
ane
Indi
cato
r59
.656
.190
.272
.474
.182
.044
.49.
422
.436
.217
.7
Num
erat
or -
315
- 22
8-
915
169
186
46 6
7844
3 61
647
052
548
25 2
26
Den
omin
ator
22 3
9456
113
342
315
31 3
581
116
380
703
487
797
23 7
79 2
0315
616
659
17 0
88 4
35
Gau
teng
Indi
cato
r72
.670
.175
.554
.372
.181
.445
.610
.329
.736
.619
.3
Sout
h Af
rica
Indi
cato
r -
- -
- -
-55
.08.
235
.947
.519
.0
Sour
ce:
DH
IS.
Section B: National and District Profiles
429
Section B: Profile Gauteng Province
429
TB
I mpa
ctO
utco
me
Out
put
Proc
ess
& in
put
TB d
eath
rate
(E
TR.n
et) (
%)
TB D
R cl
ient
de
ath
rate
(E
DR
Web
) (%
)
TB c
lient
loss
to
follo
w u
p ra
te
(ETR
.Net
) (%
)
TB c
lient
tr
eatm
ent
succ
ess
rate
(E
TR.n
et) (
%)
TB D
R cl
ient
loss
to
follo
w u
p ra
te
(ED
RW
eb) (
%)
TB D
R tr
eatm
ent
succ
ess
rate
(E
DR
Web
) (%
)
TB R
ifam
pici
n re
sist
ance
co
nfirm
ed c
lient
ra
te (%
)
TB R
ifam
pici
n re
sist
ant c
lient
s tr
eatm
ent
initi
atio
n ra
te (%
)
TB/H
IV c
o-in
fect
ed c
lient
on
AR
T ra
te (E
TR.
Net
) (%
)
TB c
lient
initi
ated
on
trea
tmen
t ra
te (%
)
TB s
ympt
om 5
ye
ars
and
olde
r sc
reen
ed in
fa
cilit
y ra
te (%
)
2015
2014
2015
2015
2014
2014
2016
2016
2016
2016
2016
/17
Tshw
ane
1 SD
Indi
cato
r7.
9 -
7.5
82.1
- -
- -
89.7
-58
.1
Num
erat
or34
4 -
326
3 55
6 -
- -
-2
396
-90
5 11
4
Den
omin
ator
4 33
1 -
4 33
14
331
- -
- -
2 67
1 -
1 55
8 97
7
Tshw
ane
2 SD
Indi
cato
r7.
3 -
5.1
86.3
- -
- -
98.6
-74
.7
Num
erat
or11
1 -
781
321
- -
- -
916
-38
8 28
5
Den
omin
ator
1 53
1 -
1 53
11
531
- -
- -
929
-51
9 69
9
Tshw
ane
3 SD
Indi
cato
r6.
1 -
5.7
85.1
- -
- -
91.4
-53
.1
Num
erat
or13
0 -
121
1 81
7 -
- -
-88
4 -
332
184
Den
omin
ator
2 13
4 -
2 13
42
134
- -
- -
967
-62
5 49
0
Tshw
ane
4 SD
Indi
cato
r6.
7 -
4.5
87.2
- -
- -
86.5
-57
.1
Num
erat
or42
-28
545
- -
- -
296
-10
1 82
5
Den
omin
ator
625
-62
562
5 -
- -
-34
2 -
178
439
Tshw
ane
5 SD
Indi
cato
r8.
7 -
6.1
82.2
- -
- -
76.9
-30
.1
Num
erat
or53
-37
502
- -
- -
260
-59
502
Den
omin
ator
611
-61
161
1 -
- -
-33
8 -
197
849
Tshw
ane
6 SD
Indi
cato
r6.
2 -
8.7
82.2
- -
- -
79.9
-40
.4
Num
erat
or88
-12
41
166
- -
- -
618
-22
0 23
1
Den
omin
ator
1 41
9 -
1 41
91
419
- -
- -
773
-54
4 45
7
Tshw
ane
7 SD
Indi
cato
r8.
5 -
7.8
82.3
- -
- -
82.8
-68
.1
Num
erat
or36
-33
348
- -
- -
202
-11
6 47
9
Den
omin
ator
423
-42
342
3 -
- -
-24
4 -
171
062
Tshw
ane
Indi
cato
r7.
313
.26.
783
.615
.162
.96.
442
.489
.010
5.1
55.9
Num
erat
or80
421
747
9 25
524
100
415
176
5 57
26
805
2 12
3 62
0
Den
omin
ator
11 0
7415
911
074
11 0
7415
915
96
472
415
6 26
46
472
3 79
5 97
3
Gau
teng
Indi
cato
r6.
320
.25.
984
.915
.955
.65.
755
.690
.380
.071
.9
Sout
h Af
rica
Indi
cato
r6.
623
.06.
481
.017
.950
.56.
268
.088
.372
.851
.6
Sour
ce:
DH
IS.
2009 2010 2011 2012 2013 2014 2015 2016Year
5_TB
1_Im
pact
TB death rate(ETR.net)
TB DR clientdeath rate(EDRWeb)
2_O
utco
me
TB client lost tofollow up rate(ETR.Net)
TB clienttreatmentsuccess rate(ETR.net)
TB DR clientloss to follow uprate (EDRWeb)
TB DRtreatmentsuccess rate(EDRWeb)
TB Rifampicinresistanceconfirmed clientrate
TB/HIVco-infectedclient on ARTrate (ETR.Net)
4_P
roce
ss_i
nput
TB symptom 5years and olderscreened infacility rate
5
10
15
0
20
40
60
0
5
10
15
40
60
80
0
20
40
0
20
40
60
0
10
20
0
50
100
0
50
100
GP, TSH, City of Tshwane Metropolitan Municipality, SEQ 5 (least deprived)
Measure NamesIndValueProv_avZA_av
430
Section B: National and District Profiles
430
Section B: Profile Gauteng Province
Annual trends TB
2010 2011 2012 2013 2014 2015 2016 2017Year
6_NCDs
2_Outcome
Diabetesincidence
Hypertensionincidence
0
5
20
40
GP, TSH, City of Tshwane Metropolitan Municipality, SEQ 5 (least deprived)
Measure NamesIndValueProv_avZA_av
Section B: National and District Profiles
431
Section B: Profile Gauteng Province
431
Non-communicable diseases
Outcome
Diabetes incidence
(per1K)
Hypertension incidence
(per1K)
2016/17 2016/17
Tshwane 1 SD Indicator 2.6 18.6
Numerator 2 412 5 289
Denominator 11 127 699 3 420 837
Tshwane 2 SD Indicator 1.6 12.9
Numerator 622 1 669
Denominator 4 696 416 1 555 317
Tshwane 3 SD Indicator 5.1 58.8
Numerator 3 359 13 106
Denominator 7 936 245 2 673 048
Tshwane 4 SD Indicator 0.3 5.8
Numerator 123 857
Denominator 5 243 286 1 785 747
Tshwane 5 SD Indicator 3.7 33.8
Numerator 384 1 176
Denominator 1 256 694 417 354
Tshwane 6 SD Indicator 5.0 9.8
Numerator 3 445 2 332
Denominator 8 340 855 2 865 861
Tshwane 7 SD Indicator 2.3 20.9
Numerator 290 791
Denominator 1 514 760 455 115
Tshwane Indicator 3.2 23.0
Numerator 10 635 25 220
Denominator 40 115 955 13 173 279
Gauteng Indicator 3.2 19.8
South Africa Indicator 2.5 18.9
Source: DHIS.
Annual trends
Sub-district value in red – improvement strategies are urgently needed
Value highlighted in yellow – performance is ranked among the 10 best in the country
Value highlighted in red – performance is ranked among the 10 worst in the country