Understanding How Multisectoral Programs and Policies Across Systems Can Be Leveraged to Improve Maternal, Infant,
Teresa R Schwendler1, Ramatou Hermine Sankhon1, Leif Jensen2
1Department of Nutritional Sciences, The Pennsylvania State University, University Park, Pennsylvania, USA.
Objective:
To understand how current programmes and policies can be leveraged to improve maternal, infant, and young child nutrition outcomes (MIYCN) in Guinea.
Data Collection Methods:
Study design. This study is part of a larger multiphase mixed methods study design.
Theoretical Framework:
A systems framework developed by the United Nations Children's Fund (UNICEF) and an implementation science framework were used to guide this research. Phase 1. An in-depth literature review of current programme and policy documents (2019-2022) targeting MIYCN through the water, sanitation, and hygiene (WASH), health, food, and social protection systems in Guinea was conducted. Phase 2. Semi-structured interviews with stakeholders (n = 20) from each system were completed to explore stakeholders' knowledge related to pertinent programs and policies. Phase 3. Validation of findings was conducted using member checking.
Data Analysis Methods:
Grey literature documents and interview findings were analysed using content analysis guided by the systems framework and implementation science framework, respectively.
Results:
Policy documents across systems were all multisectoral and more than half (27/32) of evidence-based programme modalities across systems were included in policies. Most (28/32) evidence-based programme modalities were also being implemented in Guinea. Stakeholder interview findings revealed that programme implementation was the most salient barrier to operationalising evidence-based programme modalities.
Conclusion:
Findings from our study indicate that policy and programme frameworks are strong but improved financial planning and vertical and horizontal programme planning may create a stronger enabling environment to support MIYCN in Guinea.
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