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    Home / Central Data Catalog / IMPACT_EVALUATION / KEN_2004_GEHDS_V01_M_V01_A_RUF / variable [V985]
impact_evaluation

Greater Eldoret Health and Development Survey (Round 1) 2004 - Research Use Files

Kenya, 2004
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Reference ID
KEN_2004_GEHDS_v01_M_v01_A_RUF
DOI
https://doi.org/10.48529/6x0c-5y08
Producer(s)
Markus Goldstein and Harsha Thirumurthy
Collection(s)
Impact Evaluation Surveys
Metadata
DDI/XML JSON
Created on
Jul 22, 2011
Last modified
Jul 07, 2016
Page views
460872
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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
  • 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

Where illness diagnosed as malaria (hcm06)

Data file: health_c_I

Overview

Valid: 1274
Invalid: 0
Type: Discrete
Decimal: 0
Width: 2
Range: 1 - 98
Format: Numeric

Questions and instructions

Literal question
Where was this illness diagnosed as malaria?
Categories
Value Category Cases
1 National Referral Hosp. (Kenyatta, Moi) 45
3.5%
2 Government District/Provincial Hosp. 160
12.6%
3 Mosoriot Rural Health Center 543
42.6%
4 Government Health Center (exc. Mosoriot) 108
8.5%
5 Government dispensary 140
11%
6 Mission hospital/clinic 24
1.9%
7 Other private hospital/clinic 86
6.8%
8 Chemist/pharmacy 15
1.2%
9 Private doctor (like priv. clinic) 39
3.1%
10 Mobile clinic 1
0.1%
11 Community health worker 0
0%
12 Retail shop 2
0.2%
13 Herbalist/traditional healer 5
0.4%
14 Relative/friend 3
0.2%
15 Other (specify) 0
0%
98 Self 103
8.1%
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.

Description

Universe
All sick household members.
Source of information
Primary female respondent
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