RWA_2013_HRBFIE-HH_v01_M
Rwanda Community Performance-Based Financing Impact Evaluation 2013
Household Follow Up Survey
Name | Country code |
---|---|
Rwanda | RWA |
Other Household Health Survey
The Baseline survey for The Community Performance-Based Financing Impact Evaluation (Households) was conducted in Q1-Q2 2010
The Follow up survey was conducted from Q4 2013 to Q2 2014. Data collection consisted of household, Community Health Worker(CHW) and CHW cooperative surveys.
Sample survey data [ssd]
Households; Women; Children
Main household questionnaire. The main respondent for the household-level questionnaire is the head of household and/or spouse, although they may ask for support from other household members on specific questions regarding the household. A Health Knowledge module was administered to the spouse of the core respondent.
The household survey includes eight sections:
Female questionnaire. The respondent(s) for the maternal health modules is the core respondent, defined as the female whose pregnancy led to the selection of the household.
9. Health Status and Utilization: This is an extended version of Section 4 in the household-level interview, and collects data on morbidity, access to care, diagnosis and treatment, as well as out-of-pocket expenditures.
10. Mental Health: This section collects data to assess the woman’s mental health, and any treatment for recent depression and/or anxiety.
11. Reproductive Health: This section collects data on the woman’s desire for more children, history of contraceptive use, as well as current use.
12. Pregnancy History: This section collects data on all the pregnancies within the woman’s lifetime, including live births, miscarriages and stillborns, as well as a summary of all the woman’s living and non-living children.
13. Birth History: This section collects data on the woman’s birth history and is individual level data for each birth, on birth date if the child is still living and date of death if the child is no longer living.
14. Maternal Health: This is an extensive section which collects data on the woman’s prenatal, delivery and post-natal care for pregnancies in the last 3 years including current pregnancies. For most of the RBF projects, prenatal, delivery and post-natal care utilization are core indicators for the success of the project. This section collects data on service utilization and quality of care (as measured by provider’s adherence to national protocol).
15. Patient Satisfaction: This section collects data on the woman’s satisfaction with community health worker and health facility services.
16. Health Knowledge: This section complements the Health Knowledge section in the Community Health Worker survey and collects data on the woman’s knowledge of specific health-related categories, including hand washing, water, sanitation, pregnancy danger signs, child nutrition, vaccination, contraception, tuberculosis, malaria and child illness.
Child health and biomarker questionnaire. The respondent(s) for the child health modules is the core woman who report information on her children who are 0-5 years old.
17. Health Status and Utilization: This is an extended version of Section 4 in the household-level interview, and collects data on morbidity, access to care, diagnosis and treatment, as well as out-of-pocket expenditures.
18. Vaccination and Immunization: This section collects data on the child’s vaccination history at the facility. It also collects data on the child’s vaccination history during community health campaigns and on recent administration of vaccines or vitamin A.
19. Anthropometrics: This section collects data to measure the child’s nutritional status by collecting the child height and weight. This data is used to compute the child’s Z-score.
20. Anemia Tests: This section collects data on the additional anemia test measured through hemoglobin concentration. Enumerators trained in biometric data measurement administered the test after obtaining caregivers’ consent.
198 sectors (sub districts) in 19 districts in 4 provinces
Sub-district
Name | Affiliation |
---|---|
Gil Shapira | DECHD |
Ina Kalisa | University of Rwanda College of Medicine and Health Sciences school of Public Health |
Name | Affiliation |
---|---|
James Humuza | University of Rwanda College of Medicine and Health Sciences school of Public Health |
Jeanine Condo | University of Rwanda College of Medicine and Health Sciences school of Public Health |
Vedaste Ndahindwa | University of Rwanda College of Medicine and Health Sciences school of Public Health |
Name |
---|
Health Results Innovation Trust Fund |
According to the study design, the survey should have covered 200 sectors, 50 for each study arm. Of the 200 originally selected sectors, 12 did not meet the criteria of having a health center with an active CHW cooperative. While replacement sectors were assigned to the 3 treatment groups, there was no replacement sector assigned for the control group. Therefore, one sector of the control group has been dropped from the sample without being replaced. Another sector assigned to the control group has been wrongly coded in the data and subsequently also dropped from the sample. As a result, the final sample covered 198 sectors.
In each sector, the survey team was to interview women and CHWs in 12 different villages. During the fieldwork, the survey team learned that some villages, in five of the sectors, were served by health facilities different than the ones affiliated with the CHW cooperative selected for interview. In these cases, only the villages covered by the selected cooperatives were covered. The survey team increased the number of women and CHWs interviewed in these villages. 12 households in each sector were successfully interviewed.
Following the sampling strategy, the data was clustered at the sector level. The sectors in the study were not randomly assigned, i.e. the data is representative for the 233 eligible sectors. Villages, however, were randomly sampled with all villages within a sector having the probability 12/(# "villages per sector" ) of being
selected. Within each selected village, the household with the most recent birth or pregnancy was selected. Assuming birth is having the most recent birth in the village is random (uniform), the probability of a household being selected for the sample is given by 12/(number of "households in village" )·1/(number of villages in
sector ).
While the research team obtains administrative data on the number of villages in each sector and on the total number of households per sector, it does not obtain exact data on the number of households in each selected village. Therefore, it is assumed that within each sector the sizes of the villages are similar and the sampling weight is (number of households" in sector" )/12. This implies that all households within a sector have the same sampling weight.
The Rwanda Community Performance-Based Financing Impact Evaluation 2013, Household Follow Up Survey utilized the following questionnaires:
Start | End | Cycle |
---|---|---|
2013-11 | 2014-06 | Data Collection |
Data collection period was extended in order to track baseline women who moved out of their baseline districts.
Name | Affiliation |
---|---|
DECRG: Human Development | The World Bank |
Use of the dataset must be acknowledged using a citation which would include:
Example:
World Bank, DECRG: Human Development. Rwanda Community Performance-Based Financing Impact Evaluation 2013, Household Follow Up Survey (HRBFIE-HH), Ref. RWA_2013_HRBFIE-HH_v01_M. Dataset downloaded from [url] on [date]
Name | Affiliation | URL |
---|---|---|
Microdata Library | The World Bank | microdata.worldbank.org |
DDI_RWA_2013_HRBFIE-HH_v01_M_WB
Name | Affiliation | Role |
---|---|---|
Development Economics Data Group | The World Bank | Documentation of the DDI |
2016-08-29
Version 01 (August 2016)
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