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Improving Data-Driven Decision Making for Primary Prevention: Providing Data Interpretation Resources to Schools and
Erin Wright-Kelly1, Andrew MacFarland, Emily Fine
1Author Affiliations: Injury and Violence Prevention Center, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, (Dr Wright-Kelly, Mr MacFarland, and Dr Brooks-Russell), Aurora, Colorado; and Epidemiology and Program Evaluation Branch (Ms Fine), Violence and Injury Prevention - Mental Health Promotion Branch (Mr Morgan), Colorado Department of Public Health and Environment, Denver, Colorado.
Abstract:
Communities are increasingly interested in primary prevention efforts to reduce health inequities. However, few communities can access local data on social determinants of health and many do not have the skills or training to interpret data to inform decision making on appropriate strategies that impact social determinants of health. A population-based youth health survey administered to middle and high school students, such as exists in most states in the United States, can assess health behaviors and risk and protective factors. The schools and school districts that participate are provided with reports of results and data interpretation resources that support their understanding of risk and protective factors to inform local decision making and action. Other states can similarly provide local data and resources on risk and protective factors to help communities collaborate on primary prevention efforts that achieve health equity.
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