Journal
JOURNAL OF PUBLIC HEALTH POLICY
Volume 39, Issue 2, Pages 173-188Publisher
PALGRAVE MACMILLAN LTD
DOI: 10.1057/s41271-018-0125-0
Keywords
Childhood obesity; Agent based model; Qualitative research; Policymakers
Categories
Funding
- Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD) [U54HD070725]
- NICHD
- Office of Behavioral and Social Sciences Research (OBSSR)
- Centers for Disease Control and Prevention [U48DP005045, 1U48DP000040, SIP 14-027]
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Computational simulation models have potential to inform childhood obesity prevention efforts. To guide their future use in obesity prevention policies and programs, we assessed Baltimore City policymakers' perceptions of computational simulation models. Our research team conducted 15 in-depth interviews with stakeholders (policymakers in government and non-profit sectors), then transcribed and coded them for analysis. We learned that informants had limited understanding of computational simulation modeling. Although they did not understand how the model was developed, they perceived the tool to be useful when applying for grants, adding to the evidence base for decision-making, piloting programs and policies, and visualizing data. Their concerns included quality and relevance of data used to support the model. Key recommendations for model design included a visual display with explanations to facilitate understanding and a formal method for gathering feedback during model development.
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