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Belgian Minimum Geriatric Screening Tools for Comprehensive Geriatric Assessment Part III 2005 Thierry Pepersack, on behalf of the College for Geriatrics: Baeyens JP, Daniels H, Lambert M, Pepersack T, Pepinster A, Pétermans J, Swine C, van den Noortgate N.

Belgian Minimum Geriatric Screening Tools - BVGG - … · Belgian Minimum Geriatric Screening Tools for Comprehensive Geriatric Assessment Part III 2005 Thierry Pepersack, on behalf

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Belgian Minimum Geriatric Screening Toolsfor Comprehensive Geriatric Assessment

Part III 2005

Thierry Pepersack, on behalf of the College for Geriatrics:Baeyens JP, Daniels H, Lambert M, Pepersack T, Pepinster

A, Pétermans J, Swine C, van den Noortgate N.

Introduction

Let’s remember…

BMGST: 3 parts program

1. 2003 questionnaire2. 2004 consensus3. 2005 registration

feasibility

BMGST: 3 parts program

1. 2003 questionnaire2. 2004 consensus3. 2005 registration

feasibility

Part I: 2003 questionnaire

quality of questionnaire

not enough CGA

lack of uniformity CGA

~ no consensus

response rate

geriatricians : interested in CGA

transparency of geriatric units

BMGST: 3 parts program

1. 2003 questionnaire2. 2004 consensus3. 2005 registration feasibility

Part II: 2004 Consensus/ BGMST

• ADL I-ADL• Mobility• Cognition• Depression• Social• Nutrition• Pain• Fragilité

• Katz, Lawton• Stratify• Clock DT• GDS, Cornell• SOCIOS• MUST• VAS, Checklist• ISAR

Domains Scales Alerts/Procedures

Function (continence)

FallsDementia, deliriumDepressionComplexityMalnutritionPainLength of stay

BMGST: 3 parts program

1. 2003 questionnaire2. 2004 consensus3. 2005 registration feasibility

Part III: 2005 BGMST feasibility, efficacy, quality assurance

1. to assess the feasibility of a BMGSTwithin the teams of Belgian geriatric units;

2. to assess the efficacy of a BMGST on the detection rate of the geriatric problems of the admitted subjects;

3. to analysis quality variables within the data collected.

BGMST 2005: methodology

• Study design: prospective observational survey followed by bench marking (feed back).

• Each Belgian geriatric unit will be asked to use the BMGST for 10 consecutive admissions between March and May 2005.

BGMST 2005: methodology

• In a first time; within the 48h after admission and without any BMGST procedure, the teams should encode:

– admission’s cause– and the active geriatric problems suspected

for which a geriatric intervention is programmed.

• Then, in a second time and within the week, a complete BMGST will be performed.

Results

participation*College:, : Baeyens JP, Daniels H, Lambert M, Pepersack T, Pepinster A, Pétermans J, Dr Swine Ch, van den Noortgate N.Participants: Baeyens H, Baeyens JP; Banka M, Benoît F, Berg N, Beyer I, Claeys C, Coenen A, Decorte L, Dejaeger E, Dewinter P, Di Panfilo, D’SouzaR, Fournier A, Janssens W, Kennes B, Lemper JC, Lambert M, Lampaert J, Laporta T, Maton JP, Mulkens K, Pepersack T, Pepinster A, Pétermans, J, Petrovic M, Pieters R, Praet JP, Sépulchre D, Simonetti C, Stercken G, Swine C, Van Camp F, Vandenbon C, Vandenbroeck K, Van Parys C, Vanslembrouck I, Verbeke G Verbiest R, Verhaeverbeek I.Experts of the consensus conference: Baeyens JP, Daniels H, Dargent G, De Vriendt P, Gazzotti G, E Gorus, Lambert M, Pepersack T, Pepinster A, Pétermans J, Sachem C, Swine C,Vandekerkhof H, van den Noortgate N, Velghe AAcknowledgments: We are indebted to A Perissino, M Haelterman, P Hellinckx and P Meeus (Health Care Quality Management Policy Unit, Ministry of Social Affairs,Public Health and the Environment) for their help during this project management. Grant: The management of the project was supported by the Belgian Ministry of Social Affairs,Public Health and the Environment.

participation

• 33 centers/ 104… (32%)• 326 registrations• Mean age 83,3 (6,8), median: 83,3; range

64-102

Age (Yrs)

No

of o

bs

0

12

24

36

48

60

72

84

55 60 65 70 75 80 85 90 95 100 105 110

Residences of the patients

home68%

institution24%

other units3%

other hospital5%

Total comorbidity

0% 10% 20% 30% 40% 50% 60% 70%

heart

Infection

Incontinence

hypertension

vascular

respiratory

digestive

liver

renal

muscles

stroke

Parkinson

anemia

diabetes

cancer

vision

audition

dementia

delirium

depression

Non controlled morbidity

0% 5% 10% 15% 20% 25% 30%

heart

Infection

Incontinence

hypertension

vascular

respiratory

digestive

liver

renal

muscles

stroke

Parkinson

anemia

diabetes

cancer

vision

audition

dementia

delirium

depression

Polypharmacy

No of drugs

No

of o

bs

0

10

20

30

40

50

60

70

-4 -2 0 2 4 6 8 10 12 14 16 18 20 22 24

Frailty

ISAR score

No

of o

bs

0

16

32

48

64

80

96

112

-1 0 1 2 3 4 5 6 7

90% of patients atrisk of frailty

« Added-value » of theBMGST

% of screened geriatric problems

• ADL I-ADL• Incontinence• Falls• Cognition• Depression• Social• Nutrition• Pain

• 26%

Domains before: after BMGST:

89%

Dependence for ADL (Katz)

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

bathing clothing transfer toilet cont inence eat ing

completepart ialabsent

IADL (Lawton)from lowest (0) to highest dependence (4)

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

phone use shopping meals housework washing transport therapeut ics f inances

43210

% of screened geriatric problems

• ADL I-ADL• Incontinence• Falls• Cognition• Depression• Social• Nutrition• Pain

• 26%• 4%

89%60%

Domains before: after BMGST:

Dependence for ADL (Katz)

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

bathing clothing transfer toilet cont inence eat ing

completepart ialabsent

60% incontinence(partial or complete)

% of screened geriatric problems

• ADL I-ADL• Incontinence• Falls• Cognition• Depression• Social• Nutrition• Pain

• 26%• 4%• 35%

89%60%46%

Domains before: after BMGST:

STRATIFY scores

No

of o

bs

0

16

32

48

64

80

96

112

-1 0 1 2 3 4 5

46% of patients atrisk of falls

% of screened geriatric problems

• ADL I-ADL• Incontinence• Falls• Cognition• Depression• Social• Nutrition• Pain

• 26%• 4%• 35%• 34%

89%60%46%68%

Domains before: after BMGST:

Clock Drawing Test

failure68%

success32%

% of screened geriatric problems

• ADL I-ADL• Incontinence• Falls• Cognition• Depression• Social• Nutrition• Pain

• 26%• 4%• 35%• 34%• 3%

89%60%46%68%49%

Domains before: after BMGST:

GDS

No

of o

bs

0

14

28

42

56

70

84

98

-1 0 1 2 3 4 5

49% of patients atrisk of depression

% of screened geriatric problems

• ADL I-ADL• Incontinence• Falls• Cognition• Depression• Social• Nutrition• Pain

• 26%• 4%• 35%• 34%• 3%• 7%

89%60%46%68%49%50%

Domains before: after BMGST:

Social complexity (SOCIOS)

A55%

B40%

C5%

45% of patients atrisk of social complexity

% of screened geriatric problems

• ADL I-ADL• Incontinence• Falls• Cognition• Depression• Social• Nutrition• Pain

• 26%• 4%• 35%• 34%• 3%• 7%• 17%

89%60%46%68%49%50%65%

Domains before: after BMGST:

Risk of malnutrition

low35%

medium7%

high58%

% of screened geriatric problems

• ADL I-ADL• Incontinence• Falls• Cognition• Depression• Social• Nutrition• Pain

• 26%• 4%• 35%• 34%• 3%• 7%• 17%• 8%

89%60%46%68%49%50%65%43%

Domains before: after BMGST:

% of screened geriatric problems

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

funct ion incont inence falls cognit ion depression malnut rit ion pain social

withoutwith*

*

*

*

*

**

* p < 0 . 0 0 0 1

Mean of screened geriatric problemsbefore or after BMGST

Min-Max25%-75%Median value

p<0.0001

num

ber o

f ger

iatri

c pr

oble

ms

-1

1

3

5

7

9

without with MGST

% of screened geriatric problems

• ADL I-ADL• Incontinence• Falls• Cognition• Depression• Social• Nutrition• Pain

• 26%• 4%• 35%• 34%• 3%• 7%• 17%• 8%

89%60%46%68%49%50%65%43%

63%*56%*11%34%*46%*43%*48%*35%*

*p<0.0001

Domains before: after: gain:

BMGST gain (plus-value)

63%

56%

11%

38%

45%49%

35%

43%

0%

10%

20%

30%

40%

50%

60%

70%

funct ion incont inence falls cognit ion depression malnut rit ion pain social

« BMGST»a new score for frailty ?

,0000006,711317,349357326ISAR (points),0017883,164574,215315208LOS (days),0910231,695625,098744294AGE (yrs)p-level t(N-2) R N

Units comparisons

Age

±Std. Dev.±Std. Err.Mean

Hospital No

Age

(yrs

)

68

74

80

86

92

98

01

23

45

67

89

1011

1213

1415

1617

1819

2021

2223

2425

2627

2829

3031

3233

34

Dependence ADL (Katz)

±Std. Dev.±Std. Err.Mean

Hospital No

KA

TZ (p

oint

s)

2

6

10

14

18

22

26

30

12

34

56

78

910

1112

1314

1516

1718

1920

2122

2324

2526

2728

2930

3132

33

IADL (Lawton)

±Std. Dev.±Std. Err.Mean

Hospital No

Law

ton

scor

e

-5

0

5

10

15

20

25

30

35

12

34

56

78

910

1112

1314

1516

1718

1920

2122

2324

2526

2728

2930

3132

33

Risk of falls (Stratify)

±Std. Dev.±Std. Err.Mean

Hospital No

STR

ATI

FY

-1

0

1

2

3

4

5

12

34

56

78

910

1112

1314

1516

1718

1920

2122

2324

2526

2728

2930

3132

33

Risk of depression (GDS)

±Std. Dev.±Std. Err.Mean

Hospital No

GD

S (p

oint

s)

-1

0

1

2

3

4

5

12

34

56

78

910

1112

1314

1516

1718

1920

2122

2324

2526

2728

2930

3132

33

Risk of malnutrition (MUST)

±Std. Dev.±Std. Err.Mean

Hospital No

MU

ST

-2

-1

0

1

2

3

4

5

6

7

12

34

56

78

910

1112

1314

1516

1718

1920

2122

2324

2526

2728

2930

3132

33

Social complexity A

±Std. Dev.±Std. Err.Mean

Hospital No

Soc

ios

A (n

o ch

ange

s)

-0,4

-0,2

0,0

0,2

0,4

0,6

0,8

1,0

1,2

1,4

12

34

56

78

910

1112

1314

1516

1718

1920

2122

2324

2526

2728

2930

3132

33

Social complexity B

±Std. Dev.±Std. Err.Mean

Hospital No

Soc

ios

B

-0,4

-0,2

0,0

0,2

0,4

0,6

0,8

1,0

1,2

1,4

12

34

56

78

910

1112

1314

1516

1718

1920

2122

2324

2526

2728

2930

3132

33

Social complexity C

±Std. Dev.±Std. Err.Mean

Hospital No

Soc

ios

C

-0,3

-0,1

0,1

0,3

0,5

0,7

0,9

12

34

56

78

910

1112

1314

1516

1718

1920

2122

2324

2526

2728

2930

3132

33

Frailty ISAR

±Std. Dev.±Std. Err.Mean

Hospital No

ISA

R

-1

0

1

2

3

4

5

6

7

8

12

34

56

78

910

1112

1314

1516

1718

1920

2122

2324

2526

2728

2930

3132

33

Suspected geriatric problemsbefore BMGST

±Std. Dev.±Std. Err.Mean

Hospital No

susp

ecte

d ge

riatri

c pr

oble

ms

with

out B

GM

ST

-1

0

1

2

3

4

5

12

34

56

78

910

1112

1314

1516

1718

1920

2122

2324

2526

2728

2930

3132

33

Suspected geriatric problemsafter BMGST

±Std. Dev.±Std. Err.Mean

Hospital No

susp

ecte

d ge

riatri

c pr

oble

ms

with

BG

MS

T

1

2

3

4

5

6

7

8

9

12

34

56

78

910

1112

1314

1516

1718

1920

2122

2324

2526

2728

2930

3132

33

« added-value » (BMGST gain)

±Std. Dev.±Std. Err.Mean

Hospital No

New

ger

iatri

c pr

oble

m(s

) det

ecte

d by

BG

MS

T

-1

0

1

2

3

4

5

6

7

8

12

34

56

78

910

1112

1314

1516

1718

1920

2122

2324

2526

2728

2930

3132

33

Feed back

• Results are sent to all participants and non-participants anonymously (except for their own data) in order to offer them the opportunity to compare their results.

Conclusions (i)

• Except for the assessment for the risk of falls, the MGST might be of value to identify other geriatric problems (functional, continence, cognition, depression, nutrition, pain, social).

• “Added-value” of MGST is variable according the centres

Conclusions (ii)• After identifying deficiencies in quality of care

provided to older persons, we planned this program in order to sensitize the geriatric teams to the comprehensive geriatric assessment.

• The gain associated with a simple minimal geriatric screen for common geriatric problems is impressive.

• This study concerns geriatric interventions that are safe, cheap, and sensible and that can help to identify vulnerable older patients.

• Moreover, this approach might have additional value for education and quality assurance.

acknowledgements• Participants: Baeyens H, Baeyens JP; Banka M, Benoît F, Berg N, Beyer I,

Claeys C, Coenen A, Decorte L, Dejaeger E, Dewinter P, Di Panfilo, D’Souza R, Fournier A, Janssens W, Kennes B, Lemper JC, Lambert M, Lampaert J, Laporta T, Maton JP, Mulkens K, Pepersack T, Pepinster A, Pétermans J, Petrovic M, Pieters R, Praet JP, Sépulchre D, Simonetti C, Stercken G, Swine C, Van Camp F, Vandenbon C, Vandenbroeck K, Van Parys C, VanslembrouckI, Verbeke G Verbiest R, Verhaeverbeek I

• Experts of the consensus conference: Baeyens JP, Daniels H, Dargent G, De Vriendt P, Gazzotti G, E Gorus, Lambert M, Pepersack T, Pepinster A, Pétermans J, Sachem C, Swine C,Vandekerkhof H, van den Noortgate N, Velghe A

• We are indebted to A Perissino, M Haelterman, P Hellinckx and P Meeus(Health Care Quality Management Policy Unit, Ministry of Social Affairs,PublicHealth and the Environment) for their help during this project management.

• Grant: The management of the project was supported by the Belgian Ministry of Social Affairs,Public Health and the Environment.