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Patterns and correlates of use of evidence-based interventions to control diabetes by local health departments across the USA

OBJECTIVE: The nearly 3000 local health departments (LHDs) nationwide are the front line of public health and are positioned to implement evidence-based interventions (EBIs) for diabetes control. Yet little is currently known about use of diabetes-related EBIs among LHDs. This study used a national...

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Detalles Bibliográficos
Autores principales: Tabak, Rachel G, Parks, Renee G, Allen, Peg, Jacob, Rebekah R, Mazzucca, Stephanie, Stamatakis, Katherine A, Poehler, Allison R, Chin, Marshall H, Dobbins, Maureen, Dekker, Debra, Brownson, Ross C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6135437/
https://www.ncbi.nlm.nih.gov/pubmed/30233805
http://dx.doi.org/10.1136/bmjdrc-2018-000558
Descripción
Sumario:OBJECTIVE: The nearly 3000 local health departments (LHDs) nationwide are the front line of public health and are positioned to implement evidence-based interventions (EBIs) for diabetes control. Yet little is currently known about use of diabetes-related EBIs among LHDs. This study used a national online survey to determine the patterns and correlates of the Centers for Disease Control and Prevention Community Guide-recommended EBIs for diabetes control in LHDs. RESEARCH DESIGN AND METHODS: A cross-sectional study was conducted to survey a stratified random sample of LHDs regarding department characteristics, respondent characteristics, evidence-based decision making within the LHD, and delivery of EBIs (directly or in collaboration) within five categories (diabetes-related, nutrition, physical activity, obesity, and tobacco). Associations between delivering EBIs and respondent and LHD characteristics and evidence-based decision making were explored using logistic regression models. RESULTS: Among 240 LHDs there was considerable variation among the EBIs delivered. Diabetes prevalence in the state was positively associated with offering the Diabetes Prevention Program (OR=1.28 (95% CI 1.02 to 1.62)), diabetes self-management education (OR=1.32 (95% CI 1.04 to 1.67)), and identifying patients and determining treatment (OR=1.27 (95% CI 1.05 to 1.54)). Although all organizational supports for evidence-based decision making factors were related in a positive direction, the only significant association was between evaluation capacity and identifying patients with diabetes and determining effective treatment (OR=1.54 (95% CI 1.08 to 2.19)). CONCLUSION: Supporting evidence-based decision making and increasing the implementation of these EBIs by more LHDs can help control diabetes nationwide.