Greater Eldoret Health and Development Survey, Wave 1, 2004
Kenya, 2004
Get Microdata
Reference ID
KEN_2004_GEHDS-W1_v01_EN_M_v01_A_OCS
Producer(s)
Markus Goldstein and Harsha Thirumurthy
Collections
Metadata
Created on
Oct 14, 2020
Last modified
Nov 08, 2022
Page views
55061
Downloads
303
- Data files
- aghead_a
- aghead_b
- aghead_c
- aghead_d
- aghead_e
- aghead_e1_2
- agspouse_a
- agspouse_b
- agspouse_c
- agspouse_c_2
- anthrop_a
- anthrop_b
- anthrop_c
- assets
- assets_I8
- assets_I12
- assets_I17
- assets_II
- assets_II5
- assets_II11
- assets_III
- assets_III7
- assets_III13
- assets_IV
- assets_V
- assets_V6
- assets_V12
- assets_VI
- behavior
- behavior_c5
- education
- educexp
- enterprise
- food
- health
- health_c
- health_c_I
- health_c_II
- health_c_III
- health_c_IV
- hh_roster
- identification
- income
- iroster
- othexp
- polygamoushh
- shocks
- shocks_a3
- shocks_a7
- shocks_a11
- shocks_a15
- shocks_a19
- shocks_a24
- shocks_a27
- shocks_b30
- shocks_b33
- shocks_b36
- shocks_b40
- shocks_c44
- shocks_c49
- shocks_c53
- timealloc
- transfers
- transfers_a3
- transfers_a9
- transfers_a16
- transfers_b3
- transfers_d
- youth
What illness professional think (illness code) (h60b)
Data file: health
Overview
Valid:
471
Invalid:
4317
Type:
Discrete
Decimal:
0
Width:
2
Range:
1 - 99
Format:
Numeric
Questions and instructions
Literal question
What illness did the health practitioner think [NAME] had? Code.
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | HIV/AIDS | 16 |
3.4%
|
| 2 | Asthma | 4 |
0.8%
|
| 3 | Bilharzia/ Shistosomiasis | 0 |
0%
|
| 4 | Cancer | 0 |
0%
|
| 5 | Diarrhea | 3 |
0.6%
|
| 6 | Dysentry | 0 |
0%
|
| 7 | Fracture/break | 4 |
0.8%
|
| 8 | Gnorrhea | 0 |
0%
|
| 9 | Intestinal Parisites | 2 |
0.4%
|
| 10 | Malaria | 216 |
45.9%
|
| 11 | Malnutrition (Kwashiorkor/Marasmus) | 1 |
0.2%
|
| 12 | Measles | 2 |
0.4%
|
| 13 | Meningitis | 1 |
0.2%
|
| 14 | Poisoning | 1 |
0.2%
|
| 15 | Polio | 0 |
0%
|
| 16 | Syphilis | 1 |
0.2%
|
| 17 | Tetanus | 0 |
0%
|
| 18 | Tuberculosis | 11 |
2.3%
|
| 19 | Typhoid | 9 |
1.9%
|
| 20 | Urinary Infection | 0 |
0%
|
| 21 | Witchcraft | 0 |
0%
|
| 22 | Other STD (specify) | 3 |
0.6%
|
| 23 | Other illness (specify) | 148 |
31.4%
|
| 24 | Other injury (specify) | 17 |
3.6%
|
| 98 | 2 |
0.4%
|
|
| 99 | Don’t know | 30 |
6.4%
|
| Sysmiss | 4317 |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
Interviewer instructions
The interviewer should not attempt to help the respondent to diagnose his/her illness. You should ask the respondent what illness the person was suffering from and directly record the answer, even if you do not agree.
Question post text
*If multiple practicioners have been consulted, record most recent diagnosis.
Description
Universe
All household members.
Source of information
Primary female respondent