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    Home / Central Data Catalog / IMPACT_EVALUATION / ZWE_2014_HRBFIE-HH_V01_M / variable [F14]
impact_evaluation

Health Results-Based Financing Impact Evaluation 2014
Household Survey

Zimbabwe, 2011 - 2014
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Reference ID
ZWE_2014_HRBFIE-HH_v01_M
Producer(s)
Jed Friedman
Collection(s)
Impact Evaluation Surveys Fragility, Conflict and Violence
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jun 26, 2023
Last modified
Jun 26, 2023
Page views
136211
Downloads
555
  • Study Description
  • Data Description
  • Documentation
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  • Data files
  • anthropometry_final_HHpages35_36
  • contraception_final_cleaned
  • contraception_final_WOMpages8_10
  • cover_page
  • growthmonitoring_final_HHpages28
  • hiv_final_cleaned_full_roster
  • hiv_final_WOMpages12_13
  • household_schedule_final_HHp4_5
  • housing_final_HHpages7_10
  • immunisation_final_HHpages30_34
  • immunisation_hh_final_HHpage34
  • inpatient_fees_final_HHp22_27
  • inpatient_final_HHpage20
  • inpatient_hh_final_HHpage21
  • knowledge_final_WOMpage5_6
  • labour_final_HHpage6
  • maternal_final_WOMpages14_22
  • mental_final_WOMpage23
  • mental_health_final_cleaned
  • outpatient_final_HHpages11_13
  • outpatient_final_HHpages14_19
  • reproduction_final_cleaned
  • reproduction_final_WOMpage7
  • trust_final_WOMpage11

H234 If a health insurance scheme is going to be introduced in your community en (h234r)

Data file: inpatient_hh_final_HHpage21

Overview

Valid: 70
Invalid: 1766
Minimum: -99
Maximum: 500
Type: Discrete
Decimal: 0
Start: 71
End: 73
Width: 3
Range: -99 - 500
Format: Numeric

Questions and instructions

Literal question
If a health insurance scheme is going to be introduced in your community enrolling the whole household, how much will you be willing to contribute every month towards premium - The insurance will cover all cost of outpatient and inpatient care at all government facilities and some selected private facilities.
- Rand
Categories
Value Category Cases
-99 Missing response 0
0%
1 2
2.9%
5 5
7.1%
10 27
38.6%
20 7
10%
40 3
4.3%
45 1
1.4%
50 9
12.9%
60 1
1.4%
100 8
11.4%
150 3
4.3%
200 3
4.3%
500 1
1.4%
Sysmiss 1766
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.
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