Health Results Based Financing Impact Evaluation 2015, Household Baseline Survey
Congo, Dem. Rep., 2015 - 2016
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Reference ID
COD_2015_HRBFIE-HBL_v01_M
Producer(s)
Gil Shapira, Gunther Fink
Collection(s)
Metadata
Created on
Apr 18, 2017
Last modified
Apr 18, 2017
Page views
37225
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Identification
Survey ID Number
COD_2015_HRBFIE-HBL_v01_M
Title
Health Results Based Financing Impact Evaluation 2015, Household Baseline Survey
Subtitle
Household Baseline Survey
Country/Economy
| Name | Country code |
|---|---|
| Congo, Dem. Rep. | DRC |
Study type
Other Household Health Survey
Series Information
The Health Results Innovation Trust Fund (HRITF) launched in 2007. It supports results-based financing (RBF) approaches in the health sector to improve maternal and child health around the world. The HRITF is supported by the Governments of Norway through Norad and the United Kingdom through the Department for International Development (DFID). It is administered by The World Bank.
As of September 2016, the total contributions to the trust fund were US$477.6 million equivalent from Norway and the United Kingdom. To date, HRITF has committed US$385.6 million for 35 RBF programs in <a href="http://www.rbfhealth.org//projects">29 countries</a>, linked to US$2.0 billion in financing from IDA-the World Bank's fund for the poorest. In addition to the RBF programs, the trust fund also finances the evaluation of these programs and other supporting activities. Funded by the HRITF, the Democratic Republic of Congo (DRC) Health Results Based Financing Impact Evaluation Survey was conducted in 2015.
To learn more, visit the <a href=" https://www.rbfhealth.org"> RBF Health website</a>, explore <a href="http://www.rbfhealth.org/projects">RBF Projects</a> around the world, or read the most recent <a href="http://www.rbfhealth.org/publication/achieving-results-women%E2%80%99s-and-childrens-health-2015-progress-report">progress report </a>
As of September 2016, the total contributions to the trust fund were US$477.6 million equivalent from Norway and the United Kingdom. To date, HRITF has committed US$385.6 million for 35 RBF programs in <a href="http://www.rbfhealth.org//projects">29 countries</a>, linked to US$2.0 billion in financing from IDA-the World Bank's fund for the poorest. In addition to the RBF programs, the trust fund also finances the evaluation of these programs and other supporting activities. Funded by the HRITF, the Democratic Republic of Congo (DRC) Health Results Based Financing Impact Evaluation Survey was conducted in 2015.
To learn more, visit the <a href=" https://www.rbfhealth.org"> RBF Health website</a>, explore <a href="http://www.rbfhealth.org/projects">RBF Projects</a> around the world, or read the most recent <a href="http://www.rbfhealth.org/publication/achieving-results-women%E2%80%99s-and-childrens-health-2015-progress-report">progress report </a>
Abstract
The baseline household survey was conducted prior to implementation of a performance-based financing scheme, in the context of two projects financially supported by the World Bank: the Health Strengthening for Better Maternal and Child Health Results Project (PDSS) and The Great Lakes Emergency Sexual and Gender Based Violence and Women’s Health Project (Great Lakes). The survey data were collected in households between June 2015 and March 2016 in 133 Health Zones in 14 provincial health districts (DPS).
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Household
Scope
Notes
The household survey has two main sections. In the first section, interviewees are asked either the most knowledgeable household head or household member available on the day of the survey. For the second component, women with recent pregnancies were asked about their health and that of their children under 5 years of age.
The main topics covered in the general section of the household survey included:
- the composition of the household
- the economic situation of the household
- health spending and the use of health services by the household
The main themes discussed during the interviews with women were:
- health and disease management in general
- fertility and family planning
- care provided in recent pregnancies
- interaction with health workers
- Immunization and immunization of children
In addition, the investigative teams weighed and measured all children under five years of the women they interviewed who were in the home during the visit of the investigation team.
The main topics covered in the general section of the household survey included:
- the composition of the household
- the economic situation of the household
- health spending and the use of health services by the household
The main themes discussed during the interviews with women were:
- health and disease management in general
- fertility and family planning
- care provided in recent pregnancies
- interaction with health workers
- Immunization and immunization of children
In addition, the investigative teams weighed and measured all children under five years of the women they interviewed who were in the home during the visit of the investigation team.
Coverage
Geographic Coverage
The survey took place in 133 health zones of 14 Provincial Health Districts: Kwango, Kwilu, Mai-Ndombe, Equateur, Mongala, Sud-Ubangi, Tshuapa, Haut-Katanga, Haut-Lomami, Tanganyika, Lualaba, Maniema, Nord Kivu, Sud Kivu
Geographic Unit
District
Universe
Households with a female member aged 15 to 49 who had waited for a child in the two years preceding the survey.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Gil Shapira | World Bank, DECHD |
| Gunther Fink | Harvard University |
Funding Agency/Sponsor
| Name | Abbreviation |
|---|---|
| Health Results Innovation Trust Fund | HRITF |
Sampling
Sampling Procedure
Only one village or urban area was selected for each selected health area. The probability of being selected was the same for all villages in the health area. The remaining villages were ordered randomly so that a replacement could be made if the village originally selected was not accessible. The field teams were asked to list all households in the selected villages in order to identify those with a female member aged 15 to 49 who had waited for a child in the two years preceding the survey. On the list of all households that met the eligibility criteria, field teams had to select 10 households randomly, with all eligible households within the same village having all the same chances of being selected.
Since the primary objective of the household survey is reproductive and maternal health, individual interviews were conducted with all available female members of the household who had become pregnant in the two years prior to the survey. Data were also collected on all children under five years of the women interviewed.
A total of 6,596 households in the 14 SDAs were randomly selected for the purpose of the baseline survey.
Since the primary objective of the household survey is reproductive and maternal health, individual interviews were conducted with all available female members of the household who had become pregnant in the two years prior to the survey. Data were also collected on all children under five years of the women interviewed.
A total of 6,596 households in the 14 SDAs were randomly selected for the purpose of the baseline survey.
Weighting
Weighting information is provided in section 2 of the survey report.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2015-06-01 | 2016-03-29 |
Data Collection Mode
Computer Assisted Personal Interview [capi]
Questionnaires
Questionnaires
The household questionnaire included general questions about the interaction of households with the health care system and health expenditure. It is provided under the Related Materials tab.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Gil Shapira | The World Bank | gshapira@worldbank.org | |
| Microdata Library | The World Bank | microdata.worldbank.org |
Confidentiality
Before being granted access to the dataset, all users have to formally agree:
1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the data depositor.
2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified on public use data files.
3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately brought to the attention of the data depositor.
Access conditions
- Licensed datasets, accessible under conditions
Citation requirements
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Example:
Shapira, Gil.(World Bank, DECHD), Gunther Fink (Harvard University). Democratic Republic of Congo Health Results Based Financing Impact Evaluation 2015 (HRBFIE-HBL), Household Baseline Survey. Ref.COD_2015_HRBFIE-HBL_v01_M.The World Bank. Dataset downloaded from [URL] on [date].
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Example:
Shapira, Gil.(World Bank, DECHD), Gunther Fink (Harvard University). Democratic Republic of Congo Health Results Based Financing Impact Evaluation 2015 (HRBFIE-HBL), Household Baseline Survey. Ref.COD_2015_HRBFIE-HBL_v01_M.The World Bank. Dataset downloaded from [URL] on [date].
Access authority
| Name | Affiliation | |
|---|---|---|
| Gil Shapira | The World Bank | gshapira@worldbank.org |
Disclaimer and copyrights
Disclaimer
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Metadata production
DDI Document ID
DDI_COD_2015_HRBFIE-HBL_v01_M_WB
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Economics Data Group | DECDG | The World Bank | Documentation of the DDI |
Date of Metadata Production
2017-04-05
DDI Document version
Version 01 (April, 2017)