Greater Eldoret Health and Development Survey (Round 3) 2006 - Research Use Files
Kenya, 2006
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Reference ID
KEN_2006_GEHDS_v01_M_v01_A_RUF
Producer(s)
Markus Goldstein and Harsha Thirumurthy
Collection(s)
Created on
Jul 22, 2011
Last modified
Jul 07, 2016
Page views
190218
Downloads
1336
- 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.