Subsidy Reinvestment and Empowerment Programme Maternal and Child Health Initiative Impact Evaluation (SURE-P MCH) 2016, Endline Survey
Nigeria, 2016
Get MicrodataIdentification
NGA_2016_SUREPIE-EL_v01_M
Subsidy Reinvestment and Empowerment Programme Maternal and Child Health Initiative Impact Evaluation (SURE-P MCH) 2016
Endline Survey
| Name | Country code |
|---|---|
| Nigeria | NGA |
The Maternal and Child Health (MCH) project of the Subsidy Reinvestment and Empowerment Programme (SURE-P) was set up by the Federal Government of Nigeria to reduce maternal and newborn morbidity and mortality inthe country. MCH initiative is a follow-up program to Midwives Service Scheme, implemented by the Nigeria National Primary Health Care Development Agency, that provides demand and supply side incentives, community monitoring, and increased human resources to improve the rates and quality of antenatal care and skilled birth attendance in Nigeria.
On the supply-side, SURE-P aims to recruit, train and deploy 5,400 midwives and 14,100 community health extension workers, as well as to upgrade essential infrastructures and guarantee the adequate provision of supplies and equipment to primary health centres between the end of 2012 and 2015. In addition SURE-P will hire and train a total of 38,700 village health workers, who are expected to establish the connection between the primary healthcare centres (PHC) and pregnant women in each village.
On the demand-side, SURE-P introduces a CCT, whereby all pregnant women will be given a total cash payout of 5,000 Naira (about USD 32), conditional on attending antenatal care, skilled birth attendance and postnatal care. Also, an information campaign aims to target all women of reproductive age to encourage them to register with their nearest PHC.
The rigorous impact evaluation was implemented to determine the causal impact of this programme. The IE comprised a quasi-experimental impact evaluation which aim was to evaluate the SURE-P package, and four experimental evaluations which evaluated the impact that distinct components had within the SURE-P package, such as:
- the effect of alternative incentives regimes to midwives on their retention rates
- the effect of conditional cash transfers on utilization of MCH services
- the effect of community monitoring of essential commodities on incidence of stock-out of supplies at the PHC
The baseline data collection was carried out in September - November 2013. The midline survey was implemented in December 2014 - February 2015, after SURE-P Phase I implementation. The final data collection took place from March 2016 to June 2016, after SURE-P Phase II implementation.
All three waves are available in the Microdata Library.
Sample survey data [ssd]
- Midwife
- Primary healthcare facility
Version
v01, edited, anonymized datasets
2016-05-30
Scope
The scope of the study includes:
Midwife: (i) general information; (ii) exposure to rural settings; (iii) job attributes preferences; (iv) work conditions; (v) Maslach Burnout Inventory (MBI); (vi) social norms; (vii) family; (viii) other revenues; (ix) household assets, land, and animals; (x) non-experimental measure of intrinsic motivation; (xi) community relations and support; (xii) life satisfaction and happiness; (xiii) prosocial scales; (xiv) agreement work and family; (xv) contact information.
Primary Health Care Facility: (i) general information; (ii) facility characteristics; (iii) administration and management; (iv) human resources; (v) organizational citizenship and behaviors; (vi) Maslach Burnout Inventory (MBI); (vii) patient records; (viii) community outreach; (ix) health services; (x) user fees; (xi) national protocols; (xii) equipment; (xiii) drug storage and availability.
Coverage
All 36 states and the Federal Capital Territory
500 primary health care facilities originally selected for Phase 1 of the SURE-P MCH project; 1,285 midwives enrolled (in 2013/14) in an experiment to test the effectiveness of different form of incentives (monetary; non-monetary; combined) on midwife attrition.
Producers and sponsors
| Name | Affiliation |
|---|---|
| Pedro Rosa Dias | Imperial College London |
| Marcos Vera-Hernández | University College London |
| Marcus Holmlund | World Bank |
| Pamela Jervis Ortiz | University College London |
| Qiao Wang | World Bank |
| Name | Affiliation | Role |
|---|---|---|
| Emily Crawford | World Bank | Field Coordinator |
| Felipe Dunsch | World Bank | Coordinator |
| Name |
|---|
| Bill and Melinda Gates |
| Name | Affiliation | Role |
|---|---|---|
| Ugo Okoli | SURE-P MCH | Project Director |
| Mohammed Sidi Ali | SURE-P MCH | Deputy Project Director |
| Adetokunbo Oshin | SURE-P MCH | Deputy Project Director |
| Jamila Bello-Malabu | SURE-P MCH | Team member |
| Chukwuebuka Ejeckam | SURE-P MCH | Team member |
| Oluwafemi Adedipe | SURE-P MCH | Team member |
| Chidimma Aigbe | SURE-P MCH | Team member |
| Amina Muhtar | SURE-P MCH | Team member |
| Laura Morris | SURE-P MCH | Team member |
| Chioma Oduenyi | SURE-P MCH | Team member |
| Nonso Onwudinjo | SURE-P MCH | Team member |
| Segun Oguntoyinbo | Hanovia Limited | Managing Director |
| Gbenga Adedayo | Hanovia Limited | Field Coordinator |
| Nnamdi Ezike | Hanovia Limited | Lead Data Officer |
Sampling
- Primary health care facilities: the survey targeted all 500 SURE-P MCH Phase I primary health care facilities.
- Midwives: the survey targeted 1,285 midwives enrolled (in 2013/2014) in an experiment to test the effectiveness of different form of incentives (monetary; non-monetary; combined) on midwife attrition.
- Midwife target: 1,285; achievement: 1,182; response rate: 99.7%
- Primary health care facility target: 500; achievement: 493; response rate: 98.6%
Data collection
| Start | End |
|---|---|
| 2016-03 | 2016-06 |
| Name |
|---|
| Hanovia Limited |
Depositor information
| Name | Affiliation |
|---|---|
| Qiao Wang | World Bank |
Data Access
Licensed access with confirmation by Primary Investigators (represented by Marcus Holmlund, mholmlud@worldbank.org)
The use of the datasets must be acknowledged using a citation which would include:
- the identification of the Primary Investigator (including country name);
- the full title of the survey and its acronym (when available), and the year(s) of implementation;
- the survey reference number;
- the source and date of download (for datasets disseminated online).
Example:
Holmlund, Jervis Ortiz, Rosa Dias, Vera-Hernandez, Wang (2016). Nigeria Subsidy Reinvestment and Empowerment Programme Maternal and Child Health (SURE-P MCH) Impact Evaluation 2016, Endline Survey. Ref. NGA_2016_SUREPIE-EL_v01_M. Dataset downloaded from [URL] on [date].
Disclaimer and copyrights
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.
Holmlund, Jervis Ortiz, Rosa Dias, Vera-Hernandez, Wang (2016)
Contacts
| Name | Affiliation | |
|---|---|---|
| Marcus Holmlund | World Bank | mholmlund@worldbank.org |
| Qiao Wang | World Bank | qwang3@worldbank.org |
| Felipe Dunsch | World Bank | fdunsch@worldbank.org |
Metadata production
DDI_NGA_2016_SUREPIE-EL_v01_M_WB
| Name | Affiliation | Role |
|---|---|---|
| Development Data Group | World Bank | Study documentation |
| Development Impact Evaluation | World Bank | Study documentation |
2017-12-07
Metadata version
v01 (December 2017)