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    Home / Central Data Catalog / KEN_2004_GEHDS_V01_M / variable [F93]
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Greater Eldoret Health and Development Survey (Round 1) 2004

Kenya, 2004
Markus Goldstein and Harsha Thirumurthy
Created on June 01, 2022 Last modified June 01, 2022 Page views 1177790 Metadata DDI/XML JSON
  • Study description
  • Data Description
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  • 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
  • food
  • health_c
  • health_c_I
  • health_c_II
  • health_c_III
  • health_c_IV
  • identification
  • 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
  • youth
  • hh_roster
  • education
  • educexp
  • health
  • income
  • transfers_d
  • enterprise
CSV JSON

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.
var_qstn_ivuinstr
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
Kenya National Data Archive (KeNADA)

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