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UvA-DARE is a service provided by the library of the University of Amsterdam (http://dare.uva.nl)
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Fats & FakesTowards improved control of malariaVisser, B.J.
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Creative Commons License (see https://creativecommons.org/use-remix/cc-licenses):CC BY
Citation for published version (APA):Visser, B. J. (2017). Fats & Fakes: Towards improved control of malaria.
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“The proportion of silt particles in the topsoil (i.e. mineral matter between 0.002 mm and 0.05 mm– USDA classification - or between 0.002 mm and 0.0625 mm - ISO and FAO classification). Silt istoo small to see with the naked eye. It is produced by the mechanical weathering of rock, as opposedto the chemical weathering that results in clays. This mechanical weathering can be due to aeolianabrasion (sandblasting by the wind) as well as water erosion of rocks on the beds of rivers andstreams. It is good agricultural soil due to high nutrient levels and good water retention in spacesbetween particles. Easy to cultivate but very prone to erosion.” Adapted from: Soil Atlas of Africa,2013. European Commission, Publications Office of the European Union, Luxembourg.1
175
Chapter 6
Health workers’ compliance to rapid diagnostic tests (RDTs) toguide malaria treatment: a systematic review and meta-analysis
Alinune N. Kabaghe
Benjamin J. Visser
Rene Spijker
Kamija S. Phiri
Martin P. Grobusch
Michèle van Vugt
Malaria Journal 2016 Mar 15;15(1):163
Appendices and supplementary material are available online at:https://malariajournal.biomedcentral.com/articles/10.1186/s12936-016-1218-5
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“The proportion of silt particles in the topsoil (i.e. mineral matter between 0.002 mm and 0.05 mm– USDA classification - or between 0.002 mm and 0.0625 mm - ISO and FAO classification). Silt istoo small to see with the naked eye. It is produced by the mechanical weathering of rock, as opposedto the chemical weathering that results in clays. This mechanical weathering can be due to aeolianabrasion (sandblasting by the wind) as well as water erosion of rocks on the beds of rivers andstreams. It is good agricultural soil due to high nutrient levels and good water retention in spacesbetween particles. Easy to cultivate but very prone to erosion.” Adapted from: Soil Atlas of Africa,2013. European Commission, Publications Office of the European Union, Luxembourg.1
175
Chapter 6
Health workers’ compliance to rapid diagnostic tests (RDTs) toguide malaria treatment: a systematic review and meta-analysis
Alinune N. Kabaghe
Benjamin J. Visser
Rene Spijker
Kamija S. Phiri
Martin P. Grobusch
Michèle van Vugt
Malaria Journal 2016 Mar 15;15(1):163
Appendices and supplementary material are available online at:https://malariajournal.biomedcentral.com/articles/10.1186/s12936-016-1218-5
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Chapter 6
176
Abstract
Background
The World Health Organization recommends malaria to be confirmed by either microscopy or a rapiddiagnostic test (RDT) before treatment. The correct use of RDTs in resource-limited settingsfacilitates basing treatment onto a confirmed diagnosis; contributes to speeding up considering acorrect alternative diagnosis, and prevents overprescription of anti-malarial drugs, reduces costs andavoids unnecessary exposure to adverse drug effects. This review aims to evaluate health workers’compliance to RDT results and factors contributing to compliance.
Methods
A PROSPERO-registered systematic review was conducted to evaluate health workers’ complianceto RDTs in sub-Saharan Africa, following Preferred Reporting Items for Systematic Reviews andMeta-Analyses (PRISMA) guidelines. Studies published up to November 2015 were searchedwithout language restrictions in Medline/Ovid, Embase, Cochrane Central Register of ControlledTrials, Web of Science, LILACS, Biosis Previews and the African Index Medicus. The primaryoutcome was health workers treating patients according to the RDT results obtained.
Results
The literature search identified 474 reports; 14 studies were eligible and included in the quantitativeanalysis. From the meta-analysis, health workers’ overall compliance in terms of initiating treatmentor not in accordance with the respective RDT results was 83 % (95 % CI 80–86 %). Compliance topositive and negative results was 97 % (95 % CI 94–99 %) and 78 % (95 % CI 66–89 %),respectively. Community health workers had higher compliance rates to negative test results thanclinicians. Patient expectations, work experience, scepticism of results, health workers’ cadres andperceived effectiveness of the test, influenced compliance.
Conclusions
With regard to published data, compliance to RDT appears to be generally fair in sub-Saharan Africa;compliance to negative results will need to improve to prevent mismanagement of patients andoverprescribing of anti-malarial drugs. Improving diagnostic capacity for other febrile illnesses anddeveloping local evidence-based guidelines may help improve compliance and management ofnegative RDT results.
Trial registration
CRD42015016151 (PROSPERO)
Health workers’ compliance to RDTs to guide malaria treatment: a meta-analysis
177
BackgroundPlasmodium falciparum malaria is estimated to have caused 528,000 deaths and 163 millionclinical episodes in sub-Saharan Africa in 2013.4 Early diagnosis and treatment withappropriate anti-malarial drugs can prevent severe illness and lethal outcome.38, 96
Artemisinin-based combination therapy (ACT) is currently recommended for the treatmentof uncomplicated malaria caused by P. falciparum10, 38 and is increasingly used for non-falciparum malaria.420 Effective case-management of malaria consists of an efficacioustreatment, prompt access to treatment and diagnosis, provider compliance to treatmentguidelines, and patient adherence to medication (Figure 1). 38, 462
Figure 1. Pathway of health systems effectiveness of malaria diagnosis and treatment. (Adaptedfrom MalERA consultative group)462
Presumptive diagnosis and treatment of malaria based on symptoms leads to over- diagnosisof malaria and missed diagnosis for patients without malaria.463, 464 The World HealthOrganization (WHO) recommends that any suspected malaria case in any epidemiologicalsetting should be parasitologically-confirmed by either microscopy or rapid diagnostic test(RDT) before treatment.38 Lack of trained personnel, equipment,465 and reagents formicroscopy in most remote rural areas in Africa466, 467 with high malaria burden makes theRDT the most practically suitable tool to confirm a malaria diagnosis.4, 468 RDTs areimmunochromatographic test kits which confirm the presence of malaria parasites insuspected patients by detecting one or a combination of the following three Plasmodiumantigens: Plasmodium falciparum histidine-rich protein-2 (PfHRP-2) for P. falciparum or a‘pan-specific’ aldolase to detect other species, such as P. vivax or Plasmodium lactate
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Chapter 6
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Abstract
Background
The World Health Organization recommends malaria to be confirmed by either microscopy or a rapiddiagnostic test (RDT) before treatment. The correct use of RDTs in resource-limited settingsfacilitates basing treatment onto a confirmed diagnosis; contributes to speeding up considering acorrect alternative diagnosis, and prevents overprescription of anti-malarial drugs, reduces costs andavoids unnecessary exposure to adverse drug effects. This review aims to evaluate health workers’compliance to RDT results and factors contributing to compliance.
Methods
A PROSPERO-registered systematic review was conducted to evaluate health workers’ complianceto RDTs in sub-Saharan Africa, following Preferred Reporting Items for Systematic Reviews andMeta-Analyses (PRISMA) guidelines. Studies published up to November 2015 were searchedwithout language restrictions in Medline/Ovid, Embase, Cochrane Central Register of ControlledTrials, Web of Science, LILACS, Biosis Previews and the African Index Medicus. The primaryoutcome was health workers treating patients according to the RDT results obtained.
Results
The literature search identified 474 reports; 14 studies were eligible and included in the quantitativeanalysis. From the meta-analysis, health workers’ overall compliance in terms of initiating treatmentor not in accordance with the respective RDT results was 83 % (95 % CI 80–86 %). Compliance topositive and negative results was 97 % (95 % CI 94–99 %) and 78 % (95 % CI 66–89 %),respectively. Community health workers had higher compliance rates to negative test results thanclinicians. Patient expectations, work experience, scepticism of results, health workers’ cadres andperceived effectiveness of the test, influenced compliance.
Conclusions
With regard to published data, compliance to RDT appears to be generally fair in sub-Saharan Africa;compliance to negative results will need to improve to prevent mismanagement of patients andoverprescribing of anti-malarial drugs. Improving diagnostic capacity for other febrile illnesses anddeveloping local evidence-based guidelines may help improve compliance and management ofnegative RDT results.
Trial registration
CRD42015016151 (PROSPERO)
Health workers’ compliance to RDTs to guide malaria treatment: a meta-analysis
177
BackgroundPlasmodium falciparum malaria is estimated to have caused 528,000 deaths and 163 millionclinical episodes in sub-Saharan Africa in 2013.4 Early diagnosis and treatment withappropriate anti-malarial drugs can prevent severe illness and lethal outcome.38, 96
Artemisinin-based combination therapy (ACT) is currently recommended for the treatmentof uncomplicated malaria caused by P. falciparum10, 38 and is increasingly used for non-falciparum malaria.420 Effective case-management of malaria consists of an efficacioustreatment, prompt access to treatment and diagnosis, provider compliance to treatmentguidelines, and patient adherence to medication (Figure 1). 38, 462
Figure 1. Pathway of health systems effectiveness of malaria diagnosis and treatment. (Adaptedfrom MalERA consultative group)462
Presumptive diagnosis and treatment of malaria based on symptoms leads to over- diagnosisof malaria and missed diagnosis for patients without malaria.463, 464 The World HealthOrganization (WHO) recommends that any suspected malaria case in any epidemiologicalsetting should be parasitologically-confirmed by either microscopy or rapid diagnostic test(RDT) before treatment.38 Lack of trained personnel, equipment,465 and reagents formicroscopy in most remote rural areas in Africa466, 467 with high malaria burden makes theRDT the most practically suitable tool to confirm a malaria diagnosis.4, 468 RDTs areimmunochromatographic test kits which confirm the presence of malaria parasites insuspected patients by detecting one or a combination of the following three Plasmodiumantigens: Plasmodium falciparum histidine-rich protein-2 (PfHRP-2) for P. falciparum or a‘pan-specific’ aldolase to detect other species, such as P. vivax or Plasmodium lactate
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dehydrogenase (LDH) variants (pLDH) (with clonality specific to the various Plasmodiumspecies infecting humans).37, 469
The use of malaria RDT can reduce over-prescribing of anti-malarial drugs (AMD). Studieshave shown that in most endemic countries in sub-Saharan Africa, health workers ofdifferent cadres do not comply with malaria RDTs; they prescribe AMDs to patients withRDT negative results.468, 470-472 This has implications on resources for patient, familymembers and health system since some drug combinations are relatively expensive.473, 474
Non-compliance to malaria negative results by prescribing AMDs neglects underlying causeof fever and expose patients unnecessarily to adverse effects; underlying infections, such assepsis, pneumonia and meningitis,475-478 present as malaria clinically but are not routinelyinvestigated479 and may not be treated.466, 480
To treat malaria effectively, to reduce costs and avoid unnecessary exposure to drug adverseeffects, there is a need to correctly diagnose and comply with malaria treatment guidelinesor clinical decision algorithms. Health workers (HWs) need to use the correct treatmentbased on the RDT results.
This systematic review examines data available on HWs compliance to RDT results in sub-Saharan Africa, and investigates factors associated with compliance to results (HW treatingpatients according to the RDT result). The primary outcome is the percentage of HWscompliant to overall, positive or negative, test results.
MethodsThis systematic review was registered in advance in the International prospective register ofsystematic reviews (PROSPERO; registration number CRD42015016151) which includedpre-specified the objectives and inclusion criteria.481
An experienced information specialist (RS) conducted a search without language or timerestrictions in the online electronic databases Ovid Medline, Ovid Embase, Cochrane CentralRegister of Controlled Trials, CINAHL Plus with Full Text, African Index Medicus, andAfrican Journals Online (AJOL). The search used both free text words and medical subjectheadings for ‘malaria’, ‘RDT’, ‘health worker’ and ‘compliance’. The search was conductedon 3 March 2015 and updated on 12 November 2015. Studies reporting on malaria suspectedpatients of any age presenting to HWs of any cadre in sub-Saharan Africa were searched.The intervention was the use of a WHO recommended RDT kit for parasitologicalconfirmation of a malaria diagnosis (a list of WHO recommended RDTs is availableonline482).
Bibliographies of relevant studies retrieved from the studies were checked for additionalpublications. The search strategy is described in Additional file 1. EndNote X7.4 (Thomson
Health workers’ compliance to RDTs to guide malaria treatment: a meta-analysis
179
Reuters) was used to manage, de-duplicate and screen the references for eligibility. Theinclusion criteria were: studies were conducted in sub-Saharan Africa; RDTs were used todiagnose malaria in symptomatic patients; the RDTs used were WHO-recommended;absolute numbers of RDT result adherence as primary or secondary outcome were reported.Exclusion criteria were: studies using RDT for active case finding and population screening;conference abstracts; no absolute numbers were reported; studies outside sub-SaharanAfrica. Eligibility assessment of studies was performed independently in a blinded,standardized way by two reviewers (ANK and BJV). Titles and abstracts were screened first,and the two reviewers screened and selected relevant full-text articles. ANK extractedquantitative data based on the pre-specified criteria into an excel sheet (Additional file 2);factors associated with compliance were also extracted into the same sheet. All thequantitative data was independently checked by BJV. Data extracted included author name,year of publication, place of study, transmission setting, type of RDT, cadre and number ofHW, age of patients, number of test results, RDT positives treated and RDT negatives nottreated. Both qualitative and quantitative factors were also extracted from included studieswhich reported them. The risk of bias of studies was not assessed because of the diversity ofthe study designs included.
The primary outcome measure was proportions in percentage of RDT results withappropriate AMD prescription disaggregated to positive and negative results adherence.Appropriate treatment was defined as AMDs prescribed to RDT positive and AMD notprescribed to RDT negative patients (Figure 2). Formulae for these calculations are includedin Additional file 3. STATA version 13 (StataCorp, College Station, TX, USA) was used tocalculate the pooled estimate of proportions appropriately treated overall and negative andpositive compliance using random effects. Random effects analysis was used after an initialfixed effect analysis had I2 above 50 %, suggesting heterogeneity. Pooled estimates werealso stratified by health personnel cadre, age of patients and malaria transmission setting. Aqualitative synthesis of factors contributing to compliance was also reported for the includedstudies.
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dehydrogenase (LDH) variants (pLDH) (with clonality specific to the various Plasmodiumspecies infecting humans).37, 469
The use of malaria RDT can reduce over-prescribing of anti-malarial drugs (AMD). Studieshave shown that in most endemic countries in sub-Saharan Africa, health workers ofdifferent cadres do not comply with malaria RDTs; they prescribe AMDs to patients withRDT negative results.468, 470-472 This has implications on resources for patient, familymembers and health system since some drug combinations are relatively expensive.473, 474
Non-compliance to malaria negative results by prescribing AMDs neglects underlying causeof fever and expose patients unnecessarily to adverse effects; underlying infections, such assepsis, pneumonia and meningitis,475-478 present as malaria clinically but are not routinelyinvestigated479 and may not be treated.466, 480
To treat malaria effectively, to reduce costs and avoid unnecessary exposure to drug adverseeffects, there is a need to correctly diagnose and comply with malaria treatment guidelinesor clinical decision algorithms. Health workers (HWs) need to use the correct treatmentbased on the RDT results.
This systematic review examines data available on HWs compliance to RDT results in sub-Saharan Africa, and investigates factors associated with compliance to results (HW treatingpatients according to the RDT result). The primary outcome is the percentage of HWscompliant to overall, positive or negative, test results.
MethodsThis systematic review was registered in advance in the International prospective register ofsystematic reviews (PROSPERO; registration number CRD42015016151) which includedpre-specified the objectives and inclusion criteria.481
An experienced information specialist (RS) conducted a search without language or timerestrictions in the online electronic databases Ovid Medline, Ovid Embase, Cochrane CentralRegister of Controlled Trials, CINAHL Plus with Full Text, African Index Medicus, andAfrican Journals Online (AJOL). The search used both free text words and medical subjectheadings for ‘malaria’, ‘RDT’, ‘health worker’ and ‘compliance’. The search was conductedon 3 March 2015 and updated on 12 November 2015. Studies reporting on malaria suspectedpatients of any age presenting to HWs of any cadre in sub-Saharan Africa were searched.The intervention was the use of a WHO recommended RDT kit for parasitologicalconfirmation of a malaria diagnosis (a list of WHO recommended RDTs is availableonline482).
Bibliographies of relevant studies retrieved from the studies were checked for additionalpublications. The search strategy is described in Additional file 1. EndNote X7.4 (Thomson
Health workers’ compliance to RDTs to guide malaria treatment: a meta-analysis
179
Reuters) was used to manage, de-duplicate and screen the references for eligibility. Theinclusion criteria were: studies were conducted in sub-Saharan Africa; RDTs were used todiagnose malaria in symptomatic patients; the RDTs used were WHO-recommended;absolute numbers of RDT result adherence as primary or secondary outcome were reported.Exclusion criteria were: studies using RDT for active case finding and population screening;conference abstracts; no absolute numbers were reported; studies outside sub-SaharanAfrica. Eligibility assessment of studies was performed independently in a blinded,standardized way by two reviewers (ANK and BJV). Titles and abstracts were screened first,and the two reviewers screened and selected relevant full-text articles. ANK extractedquantitative data based on the pre-specified criteria into an excel sheet (Additional file 2);factors associated with compliance were also extracted into the same sheet. All thequantitative data was independently checked by BJV. Data extracted included author name,year of publication, place of study, transmission setting, type of RDT, cadre and number ofHW, age of patients, number of test results, RDT positives treated and RDT negatives nottreated. Both qualitative and quantitative factors were also extracted from included studieswhich reported them. The risk of bias of studies was not assessed because of the diversity ofthe study designs included.
The primary outcome measure was proportions in percentage of RDT results withappropriate AMD prescription disaggregated to positive and negative results adherence.Appropriate treatment was defined as AMDs prescribed to RDT positive and AMD notprescribed to RDT negative patients (Figure 2). Formulae for these calculations are includedin Additional file 3. STATA version 13 (StataCorp, College Station, TX, USA) was used tocalculate the pooled estimate of proportions appropriately treated overall and negative andpositive compliance using random effects. Random effects analysis was used after an initialfixed effect analysis had I2 above 50 %, suggesting heterogeneity. Pooled estimates werealso stratified by health personnel cadre, age of patients and malaria transmission setting. Aqualitative synthesis of factors contributing to compliance was also reported for the includedstudies.
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Figure 2. Patient pathway for malaria diagnosis and treatment. The shaded areas representappropriate management (RDT rapid diagnostic test, AMD anti-malarial drug)
Results
Study selection
The total number of articles after removing duplicates was 474 (Figure 3). After screeningtitle and abstracts for eligibility, 75 full-text articles were examined for eligibility; 14 studieswere included in the quantitative analysis.463, 470-472, 483-492 Five of the studies reported onfactors associated with compliance to RDT results and were included in the summary ofassociated factors.463, 471, 483, 484, 489
Health workers’ compliance to RDTs to guide malaria treatment: a meta-analysis
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Figure 3. Study selection flow (PRISMA)111
There were five study designs (Table 1): one randomized control trial,484 fourobservational,485-487, 491 four cross-sectional,471, 472, 489, 490 four cluster randomized trials463,
470, 483, 488 and pre-post intervention study.492 RDT adherence was a secondary outcome infive out of the 14 studies.471, 484, 488, 490, 492
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Figure 2. Patient pathway for malaria diagnosis and treatment. The shaded areas representappropriate management (RDT rapid diagnostic test, AMD anti-malarial drug)
Results
Study selection
The total number of articles after removing duplicates was 474 (Figure 3). After screeningtitle and abstracts for eligibility, 75 full-text articles were examined for eligibility; 14 studieswere included in the quantitative analysis.463, 470-472, 483-492 Five of the studies reported onfactors associated with compliance to RDT results and were included in the summary ofassociated factors.463, 471, 483, 484, 489
Health workers’ compliance to RDTs to guide malaria treatment: a meta-analysis
181
Figure 3. Study selection flow (PRISMA)111
There were five study designs (Table 1): one randomized control trial,484 fourobservational,485-487, 491 four cross-sectional,471, 472, 489, 490 four cluster randomized trials463,
470, 483, 488 and pre-post intervention study.492 RDT adherence was a secondary outcome infive out of the 14 studies.471, 484, 488, 490, 492
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Tab
le1.
Cha
ract
eris
tics o
f stu
dies
incl
uded
Aut
hor
Yea
rC
ount
rySt
udy
sett
ing
Stud
y de
sign
HW
cad
reN
umbe
rof
HW
sA
ge
ofst
udy
part
icip
ants
RD
TSa
mpl
esi
ze
Bis
offi48
420
09B
urki
na F
aso
Stab
le m
alar
ia w
ithse
ason
altra
nsm
issi
on
RC
TN
urse
sN
R>
6 m
onth
sPa
rach
eck
Pf10
50
Mas
anja
486
2010
Tanz
ania
Hol
oend
emic
Obs
erva
tiona
lC
linic
ians
99>
5 ye
ars
Para
HIT
1065
0B
ottie
au48
520
13M
ozam
biqu
ePe
renn
ial
trans
mis
sion
w
ithse
ason
al p
eaks
Obs
erva
tiona
lC
linic
ians
NR
All
Para
chec
k Pf
;IC
T m
alar
ia P
f;SD
Bio
line
Pf
1385
Man
yand
o491
2014
Zam
bia
Bot
h lo
w a
nd h
igh
trans
mis
sion
Obs
erva
tiona
lC
linic
ians
NR
< 5
year
sIC
T m
alar
ia P
f14
92
Chi
nkhu
mba
490
2010
Mal
awi
Stab
le m
alar
ia w
ithse
ason
al p
eak
Cro
ss se
ctio
nal
Clin
icia
nsan
d nu
rses
NR
> 5
year
sIC
T m
alar
ia
pf;
SD
Bio
line;
Para
chec
k Pf
;Fi
rst R
espo
nse
1390
Uzo
chuk
wu48
920
11N
iger
iaH
igh
trans
mis
sion
Cro
ss se
ctio
nal
Clin
icia
ns,
nurs
es
and
CH
W
32A
llIC
T m
alar
ia P
f28
0
Mub
i471
2013
Tanz
ania
Pere
nnia
ltra
nsm
issi
onC
ross
sect
iona
lC
linic
ians
and
nurs
es20
> 3
mon
ths
NR
105
Shak
ely47
220
13Za
nzib
arLo
w tr
ansm
issi
onC
ross
sect
iona
lC
linic
ians
and
nurs
es33
All
Para
chec
k Pf
3889
Hea
lth
wo
rker
s’ c
om
plia
nce
to
RD
Tsto
gu
ide
mal
aria
tre
atm
ent:
am
eta-
anal
ysis
Aut
hor
Yea
rC
ount
rySt
udy
sett
ing
Stud
y de
sign
HW
cad
reN
umbe
rof
HW
sA
ge
ofst
udy
part
icip
ants
RD
TSa
mpl
esi
ze
Bat
wal
a483
2011
Uga
nda
Bot
h lo
w a
nd h
igh
trans
mis
sion
CR
TC
linic
alof
ficer
s an
dnu
rses
30A
llPa
rach
eck
Pf44
565
Muk
anga
488
2012
Gha
na,
Uga
nda
Seas
onal
CR
TC
HW
444-
59 m
onth
sPa
rach
eck
Pf;
ICT
mal
aria
Pf
1559
Mba
cham
470
2014
Cam
eroo
nN
RC
RT
Clin
icia
ns19
8A
llSD
Bio
line
1194
Bas
tiaen
s492
2011
Tanz
ania
NR
Bef
ore
and
afte
rC
linic
alof
ficer
sN
RB
elow
10
year
old
sIC
T m
alar
ia P
f;Pa
rach
eck
Pf50
1
Mbo
nye46
320
15U
gand
aPe
renn
ial
trans
mis
sion
CR
TD
SV10
All
Firs
t res
pons
e80
73
Muk
anga
487
2011
Uga
nda
Hig
h tra
nsm
issi
onO
bser
vatio
nal
CH
W14
Und
er
5ye
ars
NR
182
CH
W =
Com
mun
ity h
ealth
wor
ker;
CRT
= C
lust
er ra
ndom
ized
tria
l;D
SV =
Dru
g sh
op v
endo
r; N
R =
Not
repo
rted;
RCT
= ra
ndom
ized
con
trol t
rial;
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507377-L-bw-Visser507377-L-bw-Visser507377-L-bw-Visser507377-L-bw-Visser
6
Tab
le1.
Cha
ract
eris
tics o
f stu
dies
incl
uded
Aut
hor
Yea
rC
ount
rySt
udy
sett
ing
Stud
y de
sign
HW
cad
reN
umbe
rof
HW
sA
ge
ofst
udy
part
icip
ants
RD
TSa
mpl
esi
ze
Bis
offi48
420
09B
urki
na F
aso
Stab
le m
alar
ia w
ithse
ason
altra
nsm
issi
on
RC
TN
urse
sN
R>
6 m
onth
sPa
rach
eck
Pf10
50
Mas
anja
486
2010
Tanz
ania
Hol
oend
emic
Obs
erva
tiona
lC
linic
ians
99>
5 ye
ars
Para
HIT
1065
0B
ottie
au48
520
13M
ozam
biqu
ePe
renn
ial
trans
mis
sion
w
ithse
ason
al p
eaks
Obs
erva
tiona
lC
linic
ians
NR
All
Para
chec
k Pf
;IC
T m
alar
ia P
f;SD
Bio
line
Pf
1385
Man
yand
o491
2014
Zam
bia
Bot
h lo
w a
nd h
igh
trans
mis
sion
Obs
erva
tiona
lC
linic
ians
NR
< 5
year
sIC
T m
alar
ia P
f14
92
Chi
nkhu
mba
490
2010
Mal
awi
Stab
le m
alar
ia w
ithse
ason
al p
eak
Cro
ss se
ctio
nal
Clin
icia
nsan
d nu
rses
NR
> 5
year
sIC
T m
alar
ia
pf;
SD
Bio
line;
Para
chec
k Pf
;Fi
rst R
espo
nse
1390
Uzo
chuk
wu48
920
11N
iger
iaH
igh
trans
mis
sion
Cro
ss se
ctio
nal
Clin
icia
ns,
nurs
es
and
CH
W
32A
llIC
T m
alar
ia P
f28
0
Mub
i471
2013
Tanz
ania
Pere
nnia
ltra
nsm
issi
onC
ross
sect
iona
lC
linic
ians
and
nurs
es20
> 3
mon
ths
NR
105
Shak
ely47
220
13Za
nzib
arLo
w tr
ansm
issi
onC
ross
sect
iona
lC
linic
ians
and
nurs
es33
All
Para
chec
k Pf
3889
Hea
lth
wo
rker
s’ c
om
plia
nce
to
RD
Tsto
gu
ide
mal
aria
tre
atm
ent:
am
eta-
anal
ysis
Aut
hor
Yea
rC
ount
rySt
udy
sett
ing
Stud
y de
sign
HW
cad
reN
umbe
rof
HW
sA
ge
ofst
udy
part
icip
ants
RD
TSa
mpl
esi
ze
Bat
wal
a483
2011
Uga
nda
Bot
h lo
w a
nd h
igh
trans
mis
sion
CR
TC
linic
alof
ficer
s an
dnu
rses
30A
llPa
rach
eck
Pf44
565
Muk
anga
488
2012
Gha
na,
Uga
nda
Seas
onal
CR
TC
HW
444-
59 m
onth
sPa
rach
eck
Pf;
ICT
mal
aria
Pf
1559
Mba
cham
470
2014
Cam
eroo
nN
RC
RT
Clin
icia
ns19
8A
llSD
Bio
line
1194
Bas
tiaen
s492
2011
Tanz
ania
NR
Bef
ore
and
afte
rC
linic
alof
ficer
sN
RB
elow
10
year
old
sIC
T m
alar
ia P
f;Pa
rach
eck
Pf50
1
Mbo
nye46
320
15U
gand
aPe
renn
ial
trans
mis
sion
CR
TD
SV10
All
Firs
t res
pons
e80
73
Muk
anga
487
2011
Uga
nda
Hig
h tra
nsm
issi
onO
bser
vatio
nal
CH
W14
Und
er
5ye
ars
NR
182
CH
W =
Com
mun
ity h
ealth
wor
ker;
CRT
= C
lust
er ra
ndom
ized
tria
l;D
SV =
Dru
g sh
op v
endo
r; N
R =
Not
repo
rted;
RCT
= ra
ndom
ized
con
trol t
rial;
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184
Health workers’ compliance to malaria results
A pooled meta-analysis using random effects (Fig. 4) for the 14 studies463, 470-472, 483, 484, 486-
493 shows an overall compliance of 83 % (95 % CI 80–86 %); I2 = 99.9 %, Z = 54.35, p <0.001. Appropriate malaria treatment based on RDT results (Table 2) was as low as 39.7 %in a Zambian study491 to as high as 99.9 % in Zanzibar.472 The pooled meta-analysis resultusing random effects for RDT positives prescribed AMDs (Fig. 5) was 97 % (95 % CI 94–99 %); I2 = 99.2 %, Z = 37.31, p < 0.001. The proportion of positive RDT results prescribedAMDs ranged from 72.1 to 100 %. 12 studies reported appropriate prescription of AMDs toRDT positive patients above 93 %; six of these studies had 100 % RDT positive compliance(Table 2).
Figure 4. Pooled meta-analysis of overall compliance to RDT resultsT
able
2:A
ppro
pria
te tr
eatm
ent o
vera
ll, R
DT
posi
tive
and
RD
T ne
gativ
e re
sults
.
Stud
y de
sign
Aut
hor
Cou
ntry
Hea
lth
pers
onne
lca
dre
App
ropr
iate
trea
tmen
tPo
sitiv
esT
reat
edN
egat
ives
not t
reat
ed
RC
TB
isof
fiB
urki
na F
aso
Nur
ses
60.7
%97
.7%
19.0
%
Obs
erva
tiona
lM
asan
jaTa
nzan
iaC
linic
ians
95.9
%95
.8%
96.0
%
Bot
tiaeu
*M
ozam
biqu
eC
linic
ians
93.4
%95
.1%
92.8
%
Muk
anga
Uga
nda
CH
W97
.8%
98.6
%95
.2%
Man
yand
oZa
mbi
aC
linic
ians
39.7
%93
.9%
31.4
%
Cro
ss se
ctio
nal
Chi
nkhu
mba
Mal
awi
Clin
icia
ns a
ndnu
rses
86.9
%98
.0%
57.9
%
Uzo
chuk
wu
Nig
eria
Clin
icia
ns, n
urse
san
d C
HW
60.0
%10
0.0%
25.9
%
Mub
iTa
nzan
iaC
linic
ians
and
nurs
es90
.5%
100.
0%86
.5%
Shak
ely
Zanz
ibar
Clin
icia
ns a
ndnu
rses
99.9
%10
0.0%
99.9
%
CR
TB
atw
ala
Uga
nda
Clin
ical
off
icer
san
d nu
rses
88.5
%10
0.0%
76.6
%
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Chapter 6
184
Health workers’ compliance to malaria results
A pooled meta-analysis using random effects (Fig. 4) for the 14 studies463, 470-472, 483, 484, 486-
493 shows an overall compliance of 83 % (95 % CI 80–86 %); I2 = 99.9 %, Z = 54.35, p <0.001. Appropriate malaria treatment based on RDT results (Table 2) was as low as 39.7 %in a Zambian study491 to as high as 99.9 % in Zanzibar.472 The pooled meta-analysis resultusing random effects for RDT positives prescribed AMDs (Fig. 5) was 97 % (95 % CI 94–99 %); I2 = 99.2 %, Z = 37.31, p < 0.001. The proportion of positive RDT results prescribedAMDs ranged from 72.1 to 100 %. 12 studies reported appropriate prescription of AMDs toRDT positive patients above 93 %; six of these studies had 100 % RDT positive compliance(Table 2).
Figure 4. Pooled meta-analysis of overall compliance to RDT results
Tab
le2:
App
ropr
iate
trea
tmen
t ove
rall,
RD
T po
sitiv
e an
d R
DT
nega
tive
resu
lts.
Stud
y de
sign
Aut
hor
Cou
ntry
Hea
lth
pers
onne
lca
dre
App
ropr
iate
trea
tmen
tPo
sitiv
esT
reat
edN
egat
ives
not t
reat
ed
RC
TB
isof
fiB
urki
na F
aso
Nur
ses
60.7
%97
.7%
19.0
%
Obs
erva
tiona
lM
asan
jaTa
nzan
iaC
linic
ians
95.9
%95
.8%
96.0
%
Bot
tiaeu
*M
ozam
biqu
eC
linic
ians
93.4
%95
.1%
92.8
%
Muk
anga
Uga
nda
CH
W97
.8%
98.6
%95
.2%
Man
yand
oZa
mbi
aC
linic
ians
39.7
%93
.9%
31.4
%
Cro
ss se
ctio
nal
Chi
nkhu
mba
Mal
awi
Clin
icia
ns a
ndnu
rses
86.9
%98
.0%
57.9
%
Uzo
chuk
wu
Nig
eria
Clin
icia
ns, n
urse
san
d C
HW
60.0
%10
0.0%
25.9
%
Mub
iTa
nzan
iaC
linic
ians
and
nurs
es90
.5%
100.
0%86
.5%
Shak
ely
Zanz
ibar
Clin
icia
ns a
ndnu
rses
99.9
%10
0.0%
99.9
%
CR
TB
atw
ala
Uga
nda
Clin
ical
off
icer
san
d nu
rses
88.5
%10
0.0%
76.6
%
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Stud
y de
sign
Aut
hor
Cou
ntry
Hea
lth
pers
onne
lca
dre
App
ropr
iate
trea
tmen
tPo
sitiv
esT
reat
edN
egat
ives
not t
reat
ed
Muk
anga
**G
hana
CH
W99
.5%
100.
0%96
.7%
Muk
anga
**U
gand
aC
HW
99.0
%99
.9%
92.4
%
Mba
cham
aC
amer
oon
Clin
icia
ns56
.1%
72.1
%48
.1%
Mba
cham
bC
amer
oon
Clin
icia
ns70
.8%
72.9
%69
.4
Mbo
nye
Uga
nda
DSV
98.8
%99
.0%
98.5
Bef
ore
and
afte
rB
astia
ens
Tanz
ania
Clin
ical
off
icer
s90
.4%
100.
0%90
.0%
CH
W =
Com
mun
ity h
ealth
wor
ker;
DSV
= D
rug
shop
ven
dors
; * e
xclu
des
mis
sing
dat
a; *
* ex
clud
es B
urki
na F
aso
resu
lts.a
= ba
sic
train
ing;
b=
enha
nced
train
ing
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187
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6
Stud
y de
sign
Aut
hor
Cou
ntry
Hea
lth
pers
onne
lca
dre
App
ropr
iate
trea
tmen
tPo
sitiv
esT
reat
edN
egat
ives
not t
reat
ed
Muk
anga
**G
hana
CH
W99
.5%
100.
0%96
.7%
Muk
anga
**U
gand
aC
HW
99.0
%99
.9%
92.4
%
Mba
cham
aC
amer
oon
Clin
icia
ns56
.1%
72.1
%48
.1%
Mba
cham
bC
amer
oon
Clin
icia
ns70
.8%
72.9
%69
.4
Mbo
nye
Uga
nda
DSV
98.8
%99
.0%
98.5
Bef
ore
and
afte
rB
astia
ens
Tanz
ania
Clin
ical
off
icer
s90
.4%
100.
0%90
.0%
CH
W =
Com
mun
ity h
ealth
wor
ker;
DSV
= D
rug
shop
ven
dors
; * e
xclu
des
mis
sing
dat
a; *
* ex
clud
es B
urki
na F
aso
resu
lts.a
= ba
sic
train
ing;
b=
enha
nced
train
ing
Health workers’ compliance to RDTs to guide malaria treatment: a meta-analysis
187
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Chapter 6
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Figure 5. (previous page) Pooled meta-analysis of RDT positive results appropriately prescribedAMDs stratified by HW cadre
Pooled meta-analysis using random effects for RDT negative patients not prescribed AMDs(Fig. 6) was 78 % (95 % CI 66–89 %); I2 = 99.8 %, Z = 14.60, p < 0.001. The proportion ofRDT negative patients appropriately not prescribed and AMD was between 19.0–99.9 %(Table 2). Five studies reported less than 60 % compliance to RDT negative results.470, 484,
489-491
Figure 6. (next page) RDT negative results not prescribed AMD stratified by HW
Community health workers (CHWs) had the highest adherence to negative results (Fig. 6)with a random effects pooled proportion of 95 % (95 % CI 92–98 %); I2 = 86.4 %, Z = 23.26,p < 0.001 than clinicians with a pooled proportion of 75 % (95 % CI 58–89 %); I2 = 99.8 %,Z = 11.30, p < 0.001. There were no differences in compliance when stratified by patient ageor transmission setting in pooled meta-analyses.
Compliance factors
Six out of the 14 studies included463, 471, 483, 484, 489, 491 reported quantitative or qualitativeassessment of factors associated with compliance to RDT. Uzochokwu et al.489 reported thatHWs adhered to RDT positive results, as they believed they were more reliable in confirminga malaria diagnosis than presumptive diagnosis or microscopy. Bisoffi et al.484 comparedprescribing behaviour of HWs in the dry compared to rainy seasons and reported improvedRDT negative results compliance during the dry season; alternative diagnoses were alsomade in the dry than the rainy season.
Manyando et al.491 reported no association between prescribing of AMD to negative RDTsin children under five, and fever in a Zambian study. There was also no association betweencommunity health worker (CHW) or socio-demographic characteristics and classification ofmalaria based on RDT in a bivariate analysis in Uganda.487 In one study though, 70 % (14/20)of the respondents (HW) believed that RDTs gave inaccurate/false negative results formalaria.471 Persistence of symptoms and patient pressure and demand were other factorsreported to contribute to inappropriate AMD prescription in RDT negative cases.463, 471, 494
HWs would end up prescribing AMDs in these cases to satisfy patients and maintain theirreputation. Some HW reported that RDT negative patients improved when they wereprescribed AMDs.
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189
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Figure 5. (previous page) Pooled meta-analysis of RDT positive results appropriately prescribedAMDs stratified by HW cadre
Pooled meta-analysis using random effects for RDT negative patients not prescribed AMDs(Fig. 6) was 78 % (95 % CI 66–89 %); I2 = 99.8 %, Z = 14.60, p < 0.001. The proportion ofRDT negative patients appropriately not prescribed and AMD was between 19.0–99.9 %(Table 2). Five studies reported less than 60 % compliance to RDT negative results.470, 484,
489-491
Figure 6. (next page) RDT negative results not prescribed AMD stratified by HW
Community health workers (CHWs) had the highest adherence to negative results (Fig. 6)with a random effects pooled proportion of 95 % (95 % CI 92–98 %); I2 = 86.4 %, Z = 23.26,p < 0.001 than clinicians with a pooled proportion of 75 % (95 % CI 58–89 %); I2 = 99.8 %,Z = 11.30, p < 0.001. There were no differences in compliance when stratified by patient ageor transmission setting in pooled meta-analyses.
Compliance factors
Six out of the 14 studies included463, 471, 483, 484, 489, 491 reported quantitative or qualitativeassessment of factors associated with compliance to RDT. Uzochokwu et al.489 reported thatHWs adhered to RDT positive results, as they believed they were more reliable in confirminga malaria diagnosis than presumptive diagnosis or microscopy. Bisoffi et al.484 comparedprescribing behaviour of HWs in the dry compared to rainy seasons and reported improvedRDT negative results compliance during the dry season; alternative diagnoses were alsomade in the dry than the rainy season.
Manyando et al.491 reported no association between prescribing of AMD to negative RDTsin children under five, and fever in a Zambian study. There was also no association betweencommunity health worker (CHW) or socio-demographic characteristics and classification ofmalaria based on RDT in a bivariate analysis in Uganda.487 In one study though, 70 % (14/20)of the respondents (HW) believed that RDTs gave inaccurate/false negative results formalaria.471 Persistence of symptoms and patient pressure and demand were other factorsreported to contribute to inappropriate AMD prescription in RDT negative cases.463, 471, 494
HWs would end up prescribing AMDs in these cases to satisfy patients and maintain theirreputation. Some HW reported that RDT negative patients improved when they wereprescribed AMDs.
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189
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DiscussionThis is the first systematic review and meta-analysis evaluating the proportion of healthworkers’ compliance with RDT results. Overall the compliance is fair. However, it alsoconfirms that compliance to RDT negative results compared to positive results was generallylow among HWs.
Diagnostic accuracy of RDT for both falciparum and non-falciparum malaria is high;37, 469
sensitivity of up to 99.5 % and specificity of up to 90.6 % compared to microscopy for P.falciparum.37 Community health workers can appropriately diagnose and treat malaria usingRDT in resource limited settings.468 The use of RDT to guide treatment reduces AMDprescription especially where health workers adhere to results.36
The results show a high proportion of HWs prescribe appropriate treatment based on RDTresults. A proportion of patients still remain over- or under-treated, despite policy change ofadministering ACT to parasitological confirmed cases only. Approximately 17 % of RDTnegative patients are inappropriately prescribed AMDs. This estimate, extrapolated to sub-Saharan Africa means hundreds of thousands of patients are inappropriately diagnosed formalaria and prescribed AMD drugs unnecessarily; unnecessary (=incorrect) AMDprescription leads to drug wastage, unnecessary exposure to drug adverse effects and anincreased risk of drug resistance development for current AMDs.495 Where underlyinginfection is not treated, the patient’s illness prolongs and worsens; the patient or guardianmakes multiple visits to seek health services, lose productivity time or income and leads toschool absenteeism for school-going children474 leading to a vicious cycle of poverty andmalaria.52
Lower cadres of HW showed more compliance to RDT results than trained HWs. The highadherence is likely due to trust in RDT result for confirming malaria diagnosis. Trained HWson the other hand may trust clinical symptoms and past experience more than RDT result.471,
496
Factors associated with HW compliance from qualitative studies include knowledge ofalternative diagnosis, fever during the dry season and a trust in RDT result.483, 484, 497 Trustmay be increased by improving diagnostic capacity for other common febrile illnesses, andby developing evidence informed guidelines for treatment of symptomatic RDT negativepatients. Such guidelines may not apply in non-endemic areas and therefore should bespecific to particular settings.
Knowledge of alternative diagnosis is related to the level of training and experience ofHW.498 HWs reported they likely made alternative diagnosis during the dry season whenmalaria transmission is perceived lower in febrile children with negative RDT resultcompared to the wet season when transmission peaks. For febrile patients, alternative
Health workers’ compliance to RDTs to guide malaria treatment: a meta-analysis
191
diagnoses were made during the dry season while more patients were treated for malariaduring the wet season in one study.484
Qualitative studies report pressure on prescribers to satisfy patient expectations as one factor,which contributes to non-compliance of RDT negative results.52, 499 Chandler et al.500
reported patient psychology and prescriber reputation as other factors influencing non-compliance to of HWs to negative RDT.
Interventions to improve compliance have not been successful, although they led to adecrease in ACT prescriptions in particular. Some HWs prescribed a non-recommendedAMD in malaria negative patients.470, 501
In cases of patients demanding AMDs, community sensitisation on RDTs was reported toimprove patient satisfaction.463 At facility level, involvement of patient in discussing malariaresults also improved patient satisfaction and reduced patient demand for AMDs.502
Notably, few studies were available which quantified HW’s compliance to malaria RDTresults, and even less studies investigated the factors contributing to compliance.Understanding these factors can help design effective strategies to improve compliance ofanti-malarial drugs. Chandler et al.500 describe a systematic method of designing anintervention in Tanzania; formative research would be key in designing such an intervention.However, interventions are context-specific and may not be applicable to all settings, andfor all HWs. It is essential to investigate factors contributing to non-compliance in specificcadres and settings, exploring impact in a context specific manner before designing andimplementing interventions.
Although ideal for rural areas in Africa, RDT kits inherently are not 100 % sensitive andspecific.36, 37 Clinically diagnosed malaria and positive malaria test may be due to otherunderlying causes of the fever.480 Crump et al.503 reported only 1.6 % of 820 patients withfever or history of fever actually had malaria infection in a Tanzanian prospective cohortstudy; bacterial and fungal bloodstream infections were responsible for 9.8 and 2.9 % of thefever, respectively. Resource limited settings lack diagnostic equipment and capacity forsome diseases. Diagnostic accuracy of RDTs can be affected further by low and extremelyhigh parasite densities,504, 505 patient-intrinsic factors such as rheumatoid factor positivity,506
user factors such as result interpretation and performance of the test, and environmentalstorage conditions including high temperatures. It is, therefore, possible, though infrequent,for malaria-infected patients to have a false positive (leading to not-indicated treatment) ormore importantly, false negative result, and hence miss malaria treatment if WHO malariatreatment guidelines are followed. A more robust and highly specific test may be useful torule out malaria. False positives, where malaria parasitaemia is not the cause of the illness(in endemic areas) lead to neglecting of other febrile illnesses.
Multidisciplinary research to explore, measure and design interventions for increasingcompliance to RDT results in different settings in Africa need to be conducted. More
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Chapter 6
190
DiscussionThis is the first systematic review and meta-analysis evaluating the proportion of healthworkers’ compliance with RDT results. Overall the compliance is fair. However, it alsoconfirms that compliance to RDT negative results compared to positive results was generallylow among HWs.
Diagnostic accuracy of RDT for both falciparum and non-falciparum malaria is high;37, 469
sensitivity of up to 99.5 % and specificity of up to 90.6 % compared to microscopy for P.falciparum.37 Community health workers can appropriately diagnose and treat malaria usingRDT in resource limited settings.468 The use of RDT to guide treatment reduces AMDprescription especially where health workers adhere to results.36
The results show a high proportion of HWs prescribe appropriate treatment based on RDTresults. A proportion of patients still remain over- or under-treated, despite policy change ofadministering ACT to parasitological confirmed cases only. Approximately 17 % of RDTnegative patients are inappropriately prescribed AMDs. This estimate, extrapolated to sub-Saharan Africa means hundreds of thousands of patients are inappropriately diagnosed formalaria and prescribed AMD drugs unnecessarily; unnecessary (=incorrect) AMDprescription leads to drug wastage, unnecessary exposure to drug adverse effects and anincreased risk of drug resistance development for current AMDs.495 Where underlyinginfection is not treated, the patient’s illness prolongs and worsens; the patient or guardianmakes multiple visits to seek health services, lose productivity time or income and leads toschool absenteeism for school-going children474 leading to a vicious cycle of poverty andmalaria.52
Lower cadres of HW showed more compliance to RDT results than trained HWs. The highadherence is likely due to trust in RDT result for confirming malaria diagnosis. Trained HWson the other hand may trust clinical symptoms and past experience more than RDT result.471,
496
Factors associated with HW compliance from qualitative studies include knowledge ofalternative diagnosis, fever during the dry season and a trust in RDT result.483, 484, 497 Trustmay be increased by improving diagnostic capacity for other common febrile illnesses, andby developing evidence informed guidelines for treatment of symptomatic RDT negativepatients. Such guidelines may not apply in non-endemic areas and therefore should bespecific to particular settings.
Knowledge of alternative diagnosis is related to the level of training and experience ofHW.498 HWs reported they likely made alternative diagnosis during the dry season whenmalaria transmission is perceived lower in febrile children with negative RDT resultcompared to the wet season when transmission peaks. For febrile patients, alternative
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diagnoses were made during the dry season while more patients were treated for malariaduring the wet season in one study.484
Qualitative studies report pressure on prescribers to satisfy patient expectations as one factor,which contributes to non-compliance of RDT negative results.52, 499 Chandler et al.500
reported patient psychology and prescriber reputation as other factors influencing non-compliance to of HWs to negative RDT.
Interventions to improve compliance have not been successful, although they led to adecrease in ACT prescriptions in particular. Some HWs prescribed a non-recommendedAMD in malaria negative patients.470, 501
In cases of patients demanding AMDs, community sensitisation on RDTs was reported toimprove patient satisfaction.463 At facility level, involvement of patient in discussing malariaresults also improved patient satisfaction and reduced patient demand for AMDs.502
Notably, few studies were available which quantified HW’s compliance to malaria RDTresults, and even less studies investigated the factors contributing to compliance.Understanding these factors can help design effective strategies to improve compliance ofanti-malarial drugs. Chandler et al.500 describe a systematic method of designing anintervention in Tanzania; formative research would be key in designing such an intervention.However, interventions are context-specific and may not be applicable to all settings, andfor all HWs. It is essential to investigate factors contributing to non-compliance in specificcadres and settings, exploring impact in a context specific manner before designing andimplementing interventions.
Although ideal for rural areas in Africa, RDT kits inherently are not 100 % sensitive andspecific.36, 37 Clinically diagnosed malaria and positive malaria test may be due to otherunderlying causes of the fever.480 Crump et al.503 reported only 1.6 % of 820 patients withfever or history of fever actually had malaria infection in a Tanzanian prospective cohortstudy; bacterial and fungal bloodstream infections were responsible for 9.8 and 2.9 % of thefever, respectively. Resource limited settings lack diagnostic equipment and capacity forsome diseases. Diagnostic accuracy of RDTs can be affected further by low and extremelyhigh parasite densities,504, 505 patient-intrinsic factors such as rheumatoid factor positivity,506
user factors such as result interpretation and performance of the test, and environmentalstorage conditions including high temperatures. It is, therefore, possible, though infrequent,for malaria-infected patients to have a false positive (leading to not-indicated treatment) ormore importantly, false negative result, and hence miss malaria treatment if WHO malariatreatment guidelines are followed. A more robust and highly specific test may be useful torule out malaria. False positives, where malaria parasitaemia is not the cause of the illness(in endemic areas) lead to neglecting of other febrile illnesses.
Multidisciplinary research to explore, measure and design interventions for increasingcompliance to RDT results in different settings in Africa need to be conducted. More
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innovation in diagnosis of common febrile illnesses in malaria endemic regions needs to beavailable. There is sparse data on prevalence of other non-malaria febrile illnesses in mostmalaria endemic regions of Africa.
The meta-analysis may have overestimated compliance: studies evaluating diagnostic testsgenerally report higher compliance when assessed in the study setting compared to a non-study setting. Most studies reported higher compliance to positive results compared tonegative results.
A limitation for the results in the review is that risk of bias and publication bias were notassessed for the studies included; the quality of evidence therefore cannot be reported.
ConclusionHWs compliance to RDT is fair; compliance to positive RDT results is generally highercompared to negative RDT results. Over-treatment of malaria is still a major problem in sub-Saharan Africa. Both HW and patient factors contribute to inappropriate prescribing ofAMDs to RDT negative patients; interventions to improve compliance should target bothpatients and HWs. Treatment guidelines should be developed for other causes of feverinformed by local context and research. Multidisciplinary research will improve complianceof HWs to RDT results.
Acknowledgements
This study was supported by the Dioraphte Foundation, The Netherlands. We thank thereviewer for his/her thorough and excellent review.
Electronic supplementary material
Additional file 1. Search strategy.
Additional file 2. Data extraction form.
Additional file 3. Formulae for appropriate treatment.
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Part II:
The quality of anti-malarial drugs