ArticleBMJ open diabetes research & care2018
Patterns and correlates of use of evidence-based interventions to control diabetes by local health departments across the USA.
Article in BMJ open diabetes research & care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- The power of partnerships: state public health department multisector collaborations in major chronic disease programme areas in the United States.Health research policy and systems · 2022Article
- How to "Start Small and Just Keep Moving Forward": Mixed Methods Results From a Stepped-Wedge Trial to Support Evidence-Based Processes in Local Health Departments.Frontiers in public health · 2022Article
- Evaluating efficiency of counties in providing diabetes preventive care using data envelopment analysis.Health services & outcomes research methodology · 2021Article
- Use and Awareness of The Community Guide in State and Local Health Department Chronic Disease Programs.Preventing chronic disease · 2020Article
- Evidence-Based Public Health Provided Through Local Health Departments: Importance of Academic-Practice Partnerships.American journal of public health · 2019Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
objectiveThe 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
methodsA 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.
resultsAmong 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)).
conclusionSupporting evidence-based decision making and increasing the implementation of these EBIs by more LHDs can help control diabetes nationwide.
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