Living Good is a non-profit organization working in Uganda, Kenya, Zambia and Myanmar. The organization aims at transforming the way healthcare is delivered and ensuring that all mothers and children have access to basic healthcare. Following the success of a pilot programme, Living Goods seeks to scale up the provision of affordable client-centered family planning services in selected districts of Uganda using Community Health Workers as the preferred model of service delivery. Living Goods has therefore commissioned Socio-Economic Data Centre Ltd to conduct a Research on Family Planning Attitudes, Behaviours and Utilization in Uganda
PROJECT TITLE
Research on family planning attitudes, behaviours and utilization in Uganda
The overall goal of the study is “to measure how family planning uptake and utilization change of time with the introduction of the project, as well as how client and community-level attitudes, acceptance, self-efficacy and behaviours towards family planning services change over time
i. To determine the extent to which uptake, utilization, and continuation of FP have changed over time, including among target sub groups
ii. To determine the extent to which knowledge, attitudes and practices change over time after introduction of the program.
iii. To generate insights through qualitative research with regard to barriers and enablers in relation to family planning service use to inform and iterate our strategy.
iv. To document best practices and/or innovations for the FP program for example use of religious leaders, male involvement approaches, community engagement approaches among others.
v. To provide recommendations for improving family planning services delivery based on the study findings
This research is adopting a quasi-experimental design, by which study subjects from the project sites will be compared with those from non-project (control) sites but without random assignment of sampling units to each of the groups. Measurement of key variables of interest will be done at two phases i.e. before (at baseline in 2019) and after (at end-line in 2019) the intervention to facilitate evaluation of the impact of the program on the targeted beneficiaries. Data collection at both phases will conducted using a mix of methods qualitative and quantitative methods including community survey, in-depth interviews, focus group discussions and document review. Choice of multiple methods is based on the need to facilitate a better understanding of FP issues in the target communities by triangulating various data sources. Further, this mix of methods is intended to enhance stakeholder participation in the process, thus enabling generation of valid and reliable results. Qualitative methods, which will be largely participatory, are intended to aid interpretation of quantitative data and to allow generation of insights that can promote a better appreciation of the findings and recommendations. This has the potential to inform programming in the short, medium and long-term, including helping to refine the project strategy and theory of change.
