Report on a
Community Health Survey
Bungoma County, Kenya
August 2013
Survey aim
• Improve understanding of the patterns of
common health problems in western
Kenya at detailed, local level
• I...
Survey topics
•
•
•
•
•
•
•
•

Residents and type of residence
Water and sanitation
Illness in past 12 months
Healthcare u...
Methods – key features
• Data collection by student volunteers
using low-cost Android tablets
• Pseudo-random sampling (ev...
The survey team
Location and sample
Sample

Pop.

%

227

4445

5.1

107

5229

2.1

Matisi

121

7050

1.7

All areas

464 29145

1.6

Ho...
Characteristics of housing
Percent of households

Floor material
100
90
80
70
60
50
40
30
20
10
0

Bungoma South
Bungoma W...
Water and sanitation
Percent of households

Source of water
100
90
80
70
60
50
40
30
20
10
0

Bungoma South
Bungoma West
M...
Percent of households (weighted)

Main source of drinking water
70

65.8

60
50
40
30
20
10

11.2
5.4

9.0
1.8

1.8

3.6

...
Sanitation – type of toilet
Percent of households (weighted)

70

66.1

60
50
40
31.1
30
20
10

2.7

0.1

0
Pit latrine

V...
Sanitation - sharing
Percent of households (weighted)

70

62.6

60
50
37.4

40
30
20
10
0
Shared

Not shared
General question on illness history
• Have you yourself been ill at any time in
the past 12 months?
• Include illnesses th...
Frequency of illness in past year
Percent of interviewees (weighted)

40
35

36.6
32.1

30
22.5

25
20
15
8.8

10
5
0
Neve...
Question on respiratory illness
• Have you or any of the adults (aged 16
years and over) in this household had a
respirato...
Adult respiratory illness in past month
Percent of households (weighted)

70
57.8

60
50
40.6
40
30
20
11.8
10
0
Interview...
Question on malaria
• Have you or any of the adults (aged 16
years and over) in this household suffered
from malaria in th...
Malaria in past year
Percent of households (weighted)

70

62.1

59.3

60
50
40
30
19.3
20
10
0
Interviewee

Any adult in ...
Question on long-term disability
• Are any of the adults (aged 16 years or over) in
this household disabled?
• By disabled...
Long-term disability
Percent of households (weighted)

100

88.5

90
80
70
60
50
40
30
20
10

10.1
4.1

0
Interviewee

Any...
Percent of disabled sample (weighted)

Long-term disability – by function
80.0
70.0

67.2

60.0
50.0
40.0
30.0
20.0

14.1
...
Question on injuries
• Have you or anyone in this household suffered a
serious injury, such as a deep cut, burn or
broken ...
Injury in past year
Percent of households (weighted)

90

81.9

80
70
60
50
40
30
16.3

20
10

4.4

0
Interviewee

Anyone ...
Injury caused a long-term disability
Percent of injured sample (weighted)

90.0
79.6
80.0
70.0
60.0
50.0
40.0
30.0
20.0

1...
(e
.g
.
co
o
kin

10.0

3.0

Ot
he
r

ite
)
Pe
de
st
ria
n

t

11.0

e.
g.
b

5.0
3.8

al
(

15.0

As
sa
ul

20.0

An
im

...
(e
.g
.
co
o
kin

0.0
0.0
Ot
he
r

As
sa
ul
al
t
(e
.g
.b
ite
)
Pe
de
st
ria
n

0.0

An
im

45.0
40.0
35.0
30.0
25.0
20.0
...
na
lh

ist

ea
ler

0.9

Ot
he
r

De
nt

1.2

Tr
ad
iti
o

gh
t
oc
to
r

so
u

10.0

Ot
he
rd

ca
re

ac
is t

20.0

No

a...
dn
'

ap
p

oi

nt
m

en
t

3.6

Ot
he
r

no
ug
h

tra
ve
l

4.3

No

us
e

fa
rt
o

10.0

se
rio

To
o

it

er
ca
re

ffo...
Conclusions
• Successful methodology, can be repeated
and scaled up in future
• Large amount of valid data for analysis
an...
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Community health survey in Bungoma County, Kenya - August 2013

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Summary report of a community health survey carried out in Bungoma county, western Kenya in August 2013 by Afro-European Medical & Research Network (AEMRN)

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Community health survey in Bungoma County, Kenya - August 2013

  1. 1. Report on a Community Health Survey Bungoma County, Kenya August 2013
  2. 2. Survey aim • Improve understanding of the patterns of common health problems in western Kenya at detailed, local level • Identify opportunities for health education and health promotion interventions • Quantify barriers to accessing care and opportunities for innovation in services • Test survey methodology
  3. 3. Survey topics • • • • • • • • Residents and type of residence Water and sanitation Illness in past 12 months Healthcare utilisation during illness Respiratory illness in past 4 weeks Malaria in past 12 months Disability (long term) Injuries in past 12 months
  4. 4. Methods – key features • Data collection by student volunteers using low-cost Android tablets • Pseudo-random sampling (every third occupied dwelling) over 3 days • Pseudo-random sub-sampling for some questions • Many questions based on existing surveys and international literature • Definitions explained to respondents
  5. 5. The survey team
  6. 6. Location and sample Sample Pop. % 227 4445 5.1 107 5229 2.1 Matisi 121 7050 1.7 All areas 464 29145 1.6 Households Bungoma South Mateka Lumboka Muanda Bungoma West Menu Namwela
  7. 7. Characteristics of housing Percent of households Floor material 100 90 80 70 60 50 40 30 20 10 0 Bungoma South Bungoma West Matisi Earth Cement Carpet Other Percent of households Roof material 100 90 80 70 60 50 40 30 20 10 0 Bungoma South Bungoma West Matisi Mabati Makuti Other
  8. 8. Water and sanitation Percent of households Source of water 100 90 80 70 60 50 40 30 20 10 0 Bungoma South Bungoma West Matisi Public Covered Covered Open Piped Piped tap well in public public into plot into plot well well home Other P ercent of households Type of toilet 100 90 80 70 60 50 40 30 20 10 0 Bungoma South Bungoma West Matisi Pit latrine VIP latrine Other
  9. 9. Percent of households (weighted) Main source of drinking water 70 65.8 60 50 40 30 20 10 11.2 5.4 9.0 1.8 1.8 3.6 1.4 0 Open Public Covered Covered Open tap well - in well - well - in well public plot public plot Piped - Piped - Lake, into river or into home spring plot
  10. 10. Sanitation – type of toilet Percent of households (weighted) 70 66.1 60 50 40 31.1 30 20 10 2.7 0.1 0 Pit latrine VIP latrine Flush toilet None
  11. 11. Sanitation - sharing Percent of households (weighted) 70 62.6 60 50 37.4 40 30 20 10 0 Shared Not shared
  12. 12. General question on illness history • Have you yourself been ill at any time in the past 12 months? • Include illnesses that made you unable to work or to do normal household tasks for a day or more. • Don’t include injuries, like cuts or burns.
  13. 13. Frequency of illness in past year Percent of interviewees (weighted) 40 35 36.6 32.1 30 22.5 25 20 15 8.8 10 5 0 Never Once Several times Continuously
  14. 14. Question on respiratory illness • Have you or any of the adults (aged 16 years and over) in this household had a respiratory illness in the past four weeks? • I mean an illness that made you cough or sneeze frequently, or wheeze, or have trouble breathing, but don’t count asthma or allergies.
  15. 15. Adult respiratory illness in past month Percent of households (weighted) 70 57.8 60 50 40.6 40 30 20 11.8 10 0 Interviewee Anyone in household No-one in household
  16. 16. Question on malaria • Have you or any of the adults (aged 16 years and over) in this household suffered from malaria in the past 12 months? • Have any of the children in this household suffered from malaria in the past 12 months? • Not shown here: Was the illness definitely confirmed as malaria by a doctor?
  17. 17. Malaria in past year Percent of households (weighted) 70 62.1 59.3 60 50 40 30 19.3 20 10 0 Interviewee Any adult in household Any child in household
  18. 18. Question on long-term disability • Are any of the adults (aged 16 years or over) in this household disabled? • By disabled I mean not able to do the things that people of their age normally do, because of the long-term effects of an illness or injury. • Examples of disability include being unable to walk because of a leg injury, or being blind from an eye disease. • By long-term I mean permanent or lasting at least 6 months.
  19. 19. Long-term disability Percent of households (weighted) 100 88.5 90 80 70 60 50 40 30 20 10 10.1 4.1 0 Interviewee Any adult in household No adult in household
  20. 20. Percent of disabled sample (weighted) Long-term disability – by function 80.0 70.0 67.2 60.0 50.0 40.0 30.0 20.0 14.1 7.7 7.4 10.0 1.8 1.8 0.0 Mobility Mental Hearing functioning Vision Other Multiple
  21. 21. Question on injuries • Have you or anyone in this household suffered a serious injury, such as a deep cut, burn or broken bone, in the past 12 months? • By serious I mean that either it was necessary to get help from a doctor or other people, or the effects of the injury were enough to make it impossible to work or to do normal household tasks for a day or more.
  22. 22. Injury in past year Percent of households (weighted) 90 81.9 80 70 60 50 40 30 16.3 20 10 4.4 0 Interviewee Anyone in household No-one in household
  23. 23. Injury caused a long-term disability Percent of injured sample (weighted) 90.0 79.6 80.0 70.0 60.0 50.0 40.0 30.0 20.0 16.8 10.0 0.0 Yes No
  24. 24. (e .g . co o kin 10.0 3.0 Ot he r ite ) Pe de st ria n t 11.0 e. g. b 5.0 3.8 al ( 15.0 As sa ul 20.0 An im 35.0 Bi cy c le g) M ot or W bi or ke ka cc id en M ot t or ve hi cle Ho m e Percent of injured sample (weighted) Injuries - circumstances 32.2 30.0 25.0 18.2 15.2 11.5 4.9 0.2 0.0
  25. 25. (e .g . co o kin 0.0 0.0 Ot he r As sa ul al t (e .g .b ite ) Pe de st ria n 0.0 An im 45.0 40.0 35.0 30.0 25.0 20.0 15.0 10.0 5.0 0.0 Bi cy cle g) M ot or W bi or ke ka cc id en M ot t or ve hi cle Ho m e Percent of injured sample (weighted) Injuries causing disability circumstances 41.6 28.6 20.0 4.5 4.5 0.8
  26. 26. na lh ist ea ler 0.9 Ot he r De nt 1.2 Tr ad iti o gh t oc to r so u 10.0 Ot he rd ca re ac is t 20.0 No ar m lin ic 30.0 Ph al c 60.0 Lo c Ho sp ita l Percent of illness sample (weighted) Illness - source of care when ill 51.5 50.0 40.0 28.1 11.1 6.6 0.6 0.0 0.0
  27. 27. dn ' ap p oi nt m en t 3.6 Ot he r no ug h tra ve l 4.3 No us e fa rt o 10.0 se rio To o it er ca re ffo rd 30.0 No t ta 70.0 er ot h ul Pr ef Co Percent of those without medical care (weighted) Illness – reasons for no medical care 64.8 60.0 50.0 40.0 25.4 20.0 1.8 0.1 0.0
  28. 28. Conclusions • Successful methodology, can be repeated and scaled up in future • Large amount of valid data for analysis and publication • Thanks to local student volunteers and to Dr Geoffrey Kasembeli, Dr Chris Barasa, Mr Stephen Wachira (Kenya), Dr Charles Senessie (AEMRN), Dr Saira Khokhar (USA)

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