Simulation modeling to assist with childhood obesity control: perceptions of Baltimore City policymakers

Details

• Alternative Title:
  J Public Health Policy
• Personal Author:
  Seifu, Leah ; Ruggiero, Cara ; Ferguson, Marie ; Mui, Yeeli ; Lee, Bruce Y. ; Gittelsohn, Joel
• Description:
  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.
• Subjects:
  Administrative Personnel Agent Based Model Article Baltimore Child Childhood Obesity Computer Simulation Humans Pediatric Obesity Policymakers Qualitative Research

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• Source:
  J Public Health Policy. 39(2):173-188
• Pubmed ID:
  29728599
• Pubmed Central ID:
  PMC6441491
• Document Type:
  Journal Article
• Funding:
  U48 DP000040/DP/NCCDPHP CDC HHS/United States ; U48DP005045/ACL HHS/United States ; U54 HD070725/HD/NICHD NIH HHS/United States
• Volume:
  39
• Issue:
  2
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:2bce7ee7e7967963fe120b75bdcbed41a0ae036045870674674d8dd068087690
• Download URL:
  https://stacks.cdc.gov/view/cdc/77166/cdc_77166_DS1.pdf
• File Type:
  [PDF - 717.71 KB ]