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Greater Eldoret Health and Development Survey (Round 3) 2006

Kenya, 2006
Markus Goldstein and Harsha Thirumurthy
Created on June 01, 2022 Last modified June 01, 2022 Page views 385320 Metadata DDI/XML JSON
  • Study description
  • Data Description
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  • Data files
  • identification
  • hhattrition
  • hhroster_3
  • iroster
  • education
  • educexp
  • educexp_2
  • health_abd
  • health_c
  • health_c_I
  • health_c_II
  • health_c_III
  • health_c_IV
  • consump
  • consump_item
  • assets_1
  • assets_1_8
  • assets_1_17
  • assets_2
  • assets_2_1
  • assets_2_5
  • assets_2_11
  • assets_3
  • assets_4
  • assets_4_7
  • assets_4_13
  • assets_5
  • assets_6
  • assets_6_6
  • assets_6_12
  • assets_7
  • income
  • agriculture
  • agriculture_a
  • agriculture_b
  • agriculture_c
  • agriculture_d
  • agriculture_e
  • agriculture_f
  • agriculture_g
  • agriculture_h
  • shocks_a
  • shocks_a_3
  • shocks_a_7
  • shocks_a_11
  • shocks_a_15
  • shocks_a_19
  • shocks_a_24
  • shocks_b
  • shocks_b_30
  • shocks_b_33
  • shocks_b_40
  • shocks_c
  • shocks_c_45
  • shocks_c_49
  • shocks_c_53
  • transfers
  • transfers_a_2
  • transfers_a_10
  • transfers_b
  • transfers_d_2
  • transfers_d_8
  • transfers_d_15
  • transfers_d_21
  • timealloc
  • kb
  • kb_4
  • anthropo_a
  • anthropo_b
  • anthropo_c
  • marriage
  • marriage_a
  • marriage_b
  • mortality
  • mortality_a
  • mortality_b
  • mortality_c
  • mortality_d
  • housing
  • housing_2
  • timerisk
  • youth
  • hhroster_4a
  • hhroster_4b
CSV JSON

Reason patient not interviewed (att10)

Data file: hhattrition

Overview

Valid: 146
Invalid: 1564
Type: Discrete
Decimal: 0
Width: 1
Range: 1 - 9
Format: Numeric

Questions and instructions

Literal question
Why was patient not interviewed?
Categories
Value Category Cases
1 Refusal 2
1.4%
2 Still comes to clinic, not found 55
37.7%
3 Stopped coming 32
21.9%
4 Transfer to other clinic 31
21.2%
5 Known to be deceased 21
14.4%
8 1
0.7%
9 4
2.7%
Sysmiss 1564
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
If patient not found, ask staff whether patient still comes to clinic, transferred, died, etc.
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