Impact Evaluation of the Use of Community Volunteers and Patent Medicine Vendors for Malaria Control in Anambra State and Gombe State 2014 -2015, Endline Survey
Nigeria, 2014 - 2015
Get MicrodataIdentification
NGA_2014_MCBPIE-EL_v01_M
Impact Evaluation of the Use of Community Volunteers and Patent Medicine Vendors for Malaria Control in Anambra State and Gombe State 2014 -2015
Endline Survey
| Name | Country code |
|---|---|
| Nigeria | NGA |
Other Household Health Survey [hh/hea]
The baseline impact evaluation survey was conducted in 2012-2013.
This data was produced for an impact evaluation (IE) which estimates the impact of a community-based anti-malaria intervention (training volunteers to provide malaria-related care to members of their extended families) and a private sector one (training and subsidized high-quality drugs to local medicine vendors known as patent medicine vendors) on the following outcomes: bednet use, access to malaria diagnosis and treatment, and incidence of malaria.
Sample survey data [ssd]
Household/individual;
Community volunteer;
Patent medicine vendor;
Primary health facility;
Community
Version
v01: Edited, anonymous datasets for public distribution.
Scope
Comprehensive surveys were administered at the following levels: household; community volunteer; patent medicine vendor; primary health facility; primary health facility worker; community
Section 1. General Information
Section 2. Training and Services
Section 3 .PMV Knowledge and Quality of Care
Section 4: Economic Activities
Section 5: Working Conditions
Section 6. Monitoring, Supervision, and Record Keeping
Section 7. PMV Association and Community Support
Section 8.1: Drug Procurement and Storage
Section 8.2: Drug Availability
Section 9: Comparison with Other / Past Jobs
Coverage
The survey was conducted across Anambra State and Gombe State. In Anambra, 280 wards were covered; in Gombe, 106 wards were covered.
Ward
Households, Community-Directed Distributors, Patent Medicine Vendors, Public Healthcare Facility, Public Healthcare Facility Workers, Community Leaders
Producers and sponsors
| Name | Affiliation |
|---|---|
| Pedro Carneiro | University College London |
| Edit V. Velenyi | World Bank |
| Name | Affiliation | Role |
|---|---|---|
| Marcus Holmlund | World Bank | Task Team Leader and Co-investigator |
| Michell Dong | World Bank | Data Analyst and Co-investigator |
| M Abul Azad | World Bank | Field Coordinator |
| Name |
|---|
| Strategic Impact Evaluation Fund |
| The Global Fund to Fight AIDS, Tuberculosis, and Malaria |
| The Bank-Netherlands Partnership Program |
| Japan Social Development Fund |
| World Bank-assisted Malaria Control Booster Project Additional Financing |
| Name | Affiliation | Role |
|---|---|---|
| Joseph Oranuba | Anambra State Malaria Control Booster Project | Project Manager (former) |
| Obiora Ezeaku | Anambra State Malaria Control Booster Project | Project Manager (former) |
| Arnold Abel | Gombe State Malaria Control Booster Project | Project Manager (former) |
| Ramesh Govindaraj | World Bank | Malaria Control Booster Project TTL (former) |
| Dinesh Nair | World Bank | Malaria Control Booster Project TTL (former) |
| Noel Chisaka | World Bank | Malaria Control Booster Project TTL (former) |
Sampling
The sampling design for the impact evaluation is a cluster-randomized experimental design that gives equal chance to both the treatment and control groups for being selected. In order to accommodate the implementation context and generate a valid counterfactual, the initial randomization was done as follows:
- Primary healthcare facilities (PHFs), the CDI implementation unit, were randomized into treatment and control groups.
- Political wards, the PMV implementation unit, were randomized into treatment and control groups.
These yield four study arms, each comprising an average of 106 PHFs in 106 wards of Gombe State:
- Treatment 1: CDI intervention only
- Treatment 2: PMV intervention only
- Treatment 3: CDI and PMV interventions
- Control (existing public-sector regime only)
The impact evaluation study was carried out in all the four intervention arms for the CDI and PMV components and the sampling procedure consisted of two stages:
- The first sampling stage: the selection of the first clusters, the primary sampling unit (PSU) which are the catchment areas for the public primary health care facilities within the four treatment groups above are identified. Each of the PSU was divided into Standard Enumerators' Areas (SEAs).
- The second sampling stage: Following community sensitization, the survey team created a list and mapped of all households within the SEA. This list was used as the basis for the selection of households to be surveyed by the simple random sampling technique.
Data collection
| Start | End |
|---|---|
| 2014-12 | 2015-01 |
Data Access
- Licensed datasets, accessible under conditions
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:
Carneiro, Pedro (University College London)., Velenyi Edit V. (World Bank). Impact Evaluation of the Use of Community Volunteers and Patent Medicine Vendors for Malaria Control in Anambra State and Gombe State, Nigeria 2014 -2015, Endline Survey (MCBPIE- EL). Ref: NGA_2014_MCBPIE-EL_v01_M. Downloaded from [URL] on [Date]
Contacts
| Name | Affiliation | |
|---|---|---|
| Marcus Holmlund | World Bank | mholmlund@worldbank.org |
| Michell Dong | World Bank | mdong@worldbank.org |
Metadata production
| Name | Affiliation | Role |
|---|---|---|
| Development Economics Data Group | The World Bank | Documentation of the DDI |