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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 1177898 Metadata DDI/XML JSON
  • Study 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

Which medicines - 3 (hcm08c)

Data file: health_c_I

Overview

Valid: 256
Invalid: 1018
Type: Discrete
Decimal: 0
Width: 1
Range: 1 - 9
Format: Numeric

Questions and instructions

Literal question
Which medicines?
Categories
Value Category Cases
1 Antipyretics (aspro, calpol, brufen, etc) 27
10.5%
2 Chloroquine (malaroquine, etc) 1
0.4%
3 Sulfa combinations (fansidar,metakelfin) 19
7.4%
4 Halofantrine (hanfan) 2
0.8%
5 Amodiaquine (camoquine) 31
12.1%
6 Cotrimoxazole (bactrim, septrin) 19
7.4%
7 Artimisinin (artenam, artomothor) 5
2%
8 Herbal/traditional remedies 3
1.2%
9 Other, specify 149
58.2%
Sysmiss 1018
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.
Question post text
* List up to 3 medicine codes.

Description

Universe
All sick household members.
Source of information
Primary female respondent
Kenya National Data Archive (KeNADA)

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