Greater Eldoret Health and Development Survey, Wave 3, 2006
Kenya, 2006
Get Microdata
Reference ID
KEN_2006_GEHDS-W3_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
95466
Downloads
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- Data files
- agriculture
- agriculture_a
- agriculture_b
- agriculture_c
- agriculture_d
- agriculture_e
- agriculture_f
- agriculture_g
- agriculture_h
- anthropo_a
- anthropo_b
- anthropo_c
- 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
- consump
- consump_item
- education
- educexp
- educexp_2
- health_abd
- health_c
- health_c_I
- health_c_II
- health_c_III
- health_c_IV
- hhattrition
- hhroster_3
- hhroster_4a
- hhroster_4b
- housing
- housing_2
- identification
- income
- iroster
- kb
- kb_4
- marriage
- marriage_a
- marriage_b
- mortality
- mortality_a
- mortality_b
- mortality_c
- mortality_d
- 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
- timealloc
- timerisk
- transfers
- transfers_a_2
- transfers_a_10
- transfers_b
- transfers_d_2
- transfers_d_8
- transfers_d_15
- transfers_d_21
- youth
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.