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There are many holes in our collective knowledge
around how and why consumers engage with the family planning (FP) market.
Through the Consumer’s Market for Family Planning Project (CM4FP), we’re aiming to fill some of these key gaps, and make our data and documentation available for researchers, policy makers and implementers to access and use.
CM4FP tested the feasibility and utility of a range of novel approaches to capture supply and demand side information on the total FP markets across 12 (primarily urban) sites in Nigeria, Kenya and Uganda.
CM4FP aimed to capture both the FP supply environments to which consumers have access, and consumers’ experience of them through multi-round longitudinal FP outlet censuses with accompanying repeated surveys among women within the same locations. This design allowed us to revisit the same outlets and women in the study sites for greater insight into changes over time. Specifically:
The CM4FP study was implemented by PSI in collaboration with Population Services Kenya, Society for Family Health in Nigeria and PSI Uganda, with funding from the Bill & Melinda Gates Foundation.
Below you will find three charts that provide a visualized preview of what is offered in the
CM4FP datasets. Please select from the buttons below to view your graphic of interest
and use the filters that interest you.
The study provides researchers, practitioners, and policymakers with publicly accessible data and resources for understanding how FP markets operate, and fill gaps in knowledge about how consumers experience and respond to FP market supply-side issues.
Key questions that can be explored with this data.
How far do women live from the outlet where they last obtained FP as compared to other outlets in the study area? How do outlet characteristics and product offerings compare? What assumptions about outlet proximity and access can be tested?
What factors did women take into consideration when choosing an outlet or FP method? Did any additional factors influence their choice during their most recent visit? How do women’s perceptions of the family planning market in their vicinity relate to her most recent family planning outlet source? Can outlet census information provide additional insights into our understanding of women’s decision making around outlet selection?
What products are offered, available, or stocked out at different categories of outlets? How does product availability change over time within outlets? Can outlet census information provide additional insights for how product availability can be measured efficiently, and can this approach be adapted to different levels of geographic coverage and resources?
An overview of key topics and additional research questions that can be
explored with the CM4FP data are outlined in the Future Analysis Guide.
This guide is a starting point for users of the data to understand its potential for future analysis
CM4FP study protocols and IRB approval information
CM4FP community health worker, household and outlet survey questionnaires
Data codebooks for household and outlet datasets
The CM4FP Study Team is committed to providing users with accurate and well-documented data that facilitates future analysis and data use. If you believe that you have identified a potential error in variable coding, labeling, documentation, or any other aspect of the data, we encourage you to contact us at [email protected] so that it can be corrected.
Note, the data has been de-identified to protect the identify of respondents. The study has a primarily urban focus and is not intended to be nationally or sub-nationally representative. Study sites were selected to capture localized family planning (FP) markets within larger areas. They were not designed to encompass the complete FP market in any specific city or larger geography as a whole.
Managing disclosure risk in CM4FP spatial data, approaches and consequences for spatial analysis.
This brief explores the varieties of spatial data associated with CM4FP data, the disclosure risk associated with each one, and presents the approach that CM4FP has taken to maximize the analytic utility of the data while fulfilling necessary ethical obligations.
This brief outlines the approach taken to calculate the time and distance measures of geographic accessibility from households to outlets in the CM4FP project. Euclidian and least cost measures have been provided to maximize the future analytical potential of our GIS data while protecting anonymity of household survey respondents.
Using data from the Consumer’s Market for Family Planning study, a multicounty study that assessed contraceptive supply and demand, we aimed to understand the extent of pricing variability and volatility in contraceptive commodities in several urban and semiurban Nigerian settings. In addition to the well-documented large public–private differences in pricing of contraceptive commodities, this study describes complex markets for contraceptive products characterized by variable pricing within the private sector and volatility in minimum prices over short time periods.
Published in AJOG Global Reports, November 1, 2022.
This paper provides an overview of CM4FP’s study design and data. It discusses what the data contains and how it can be utilized by researchers. It summarizes and highlights aspects of study design that provide additional context to both existing and future analysis of this data.
Published in Gates Open Research, May 16, 2022.
This paper compares self-reported travel times, and distance measures between outlets and households to draw conclusions from directly matched household and FP outlet data.
Published in BMJ Global Health, May 6 2022.
This paper examines a variety of outlet sampling approaches, including those used in family planning service delivery point surveys, and explores the risk of bias across indicators.
Published in PLOS ONE, August 30, 2022
DISCOVER WHAT’S COMING SOON
This paper examines the extent of stock and price dynamics in local contraceptive supply markets. Latent transmission analysis is introduced as a methodology for identifying predictors for change in contraceptive stock status.
This paper examines the feasibility of directly linking contraceptive users to service delivery points.