| Name | Country code |
|---|---|
| Gambia, The | GMB |
The scope of the study includes:
Households:
Health workers:
Health facility:
Community:
Upper River, Central River and North Bank West Regions
| Name | Affiliation |
|---|---|
| Rifat Hasan | World Bank |
| Laura Ferguson | University of Southern California |
| Guenther Fink | Harvard University |
| Name |
|---|
| Yaya Jallow |
| Chantelle Boudreaux |
| Menno Mulder-Sibanda |
| Name |
|---|
| Health Results Innovation Trust Fund |
A household survey targeted a random sample of women 15 and older in communities in 2259 households, and a facility survey directly targeted all 24 health facilities in the area.
For the household survey, two-stage cluster sampling was used to identify a random sample of approximately 100 households with at least one woman of age 15 or older and at least one child under the age of five from the catchment areas of each facility. To identify these women, researchers first randomly selected five enumeration areas from the catchment areas of each of the 24 facilities using probability proportional to population size (based on the latest census estimates); in all selected enumeration areas, a household listing was conducted. From all eligible households listed, 20 households were selected for the survey.
The resulting sample is not representative at the national or regional level for three main reasons: first, geographically, the project covered only 3 regions in the country, which are on average less developed than the regions not included. Second, within regions, surveys were only conducted in communities with existing health platforms. These communities are on average slightly larger and likely also more developed than communities without such platforms. Last, within communities, the survey targeted only women with recent births, which are not representative of the larger adult female population.
Overall, surveys were administered to the officer in charge of each of the 24 health facilities and a total of 94 health workers working in maternal and child health services. Exit interviews were administered to 150 women attending ANC services and 160 caregivers of children aged under 5 attending out-patient services.
The community-based survey was administered to 109 VDC (Village Development Committee) members and 108 VSG (Village Support Group) members.
A mix of quantitative and qualitative methods were employed for the baseline survey. The quantitative part of the evaluation relied on three main sources of data, while the qualitative part of the study used both focus group discussions and key informant interviews with a wide range of stakeholders to elicit their perspectives on different issues relevant to maternal and child nutrition and health.
Quantitative assessment
Qualitative assessment
| Start | End |
|---|---|
| 2014-10 | 2015-02 |
All quantitative data collection was carried out using tablet computers, with data uploaded to a cloud system for verification as soon as network allowed.
The qualitative assessments were conducted to help provide an explanation of the quantitative results, and to allow for more in-depth exploration of topics of particular interest. A combination of focus group discussions and in-depth interviews was used.
During the interviews and focus group discussions, the following themes were explored, varying slightly by target group:
A sample interview guide and focus group discussions are available in Relatated Materials, Questionnaires.
Use of the dataset must be acknowledged using a citation which would include:
Example,
Rifat Hasan, World Bank, Laura Ferguson, University of Southern California, Guenther Fink, Harvard University. The Gambia Health Results-Based Financing Impact Evaluation 2014, Baseline Survey. Ref. GMB_2014_HRBFIE-BL_v01_M. Dataset downloaded from [URL] on [date].
| Name | Affiliation |
|---|---|
| Rifat Hasan | World Bank |
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.
| Name | Affiliation | |
|---|---|---|
| Rifat Hasan | World Bank | rhasan@worldbank.org |
| Laura Ferguson | University of Southern California | Laura.Ferguson@med.usc.edu |
| Name | Affiliation | Role |
|---|---|---|
| Development Data Group | The World Bank |
Documentation of the study |
This site uses cookies to optimize functionality and give you the best possible experience. If you continue to navigate this website beyond this page, cookies will be placed on your browser. To learn more about cookies, click here.