ArticleImplementation science : IS2014
Capacity building for evidence-based decision making in local health departments: scaling up an effective training approach.
Article in Implementation science : IS, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.
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Who cites it
49 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effectiveness of capacity building interventions relevant to public health practice: a systematic review.BMC public health · 2018Pooled it
- A multilevel approach for promoting physical activity in rural communities: a cluster randomized controlled trial.BMC public health · 2019Trial
- Enhancing evidence-based diabetes and chronic disease control among local health departments: a multi-phase dissemination study with a stepped-wedge cluster randomized trial component.Implementation science : IS · 2017Trial
- Identifying health economic competencies for quality improvement practitioners and educators: a mixed-methods study.BMJ open quality · 2026Article
- Improving cancer prevention and control through implementing academic-local public health department partnerships - protocol for a cluster-randomized implementation trial using a positive deviance approach.Implementation science communications · 2025Article
- Charting the path to the implementation of universal health coverage policy in Nigeria through the lens of Delphi methodology.BMC health services research · 2025Article
- Enhancing Health Policy Administration in LMICs: Dr. LJW Fellowship Program Insights (2021-2023).Annals of global health · 2025Article
- Evaluating the implementation of the National Primary Health Care Development Agency (NPHCDA) gateway for the Basic Healthcare Provision Fund (BHCPF) across six Northern states in Nigeria.BMC health services research · 2024Article
- Adapting and Evaluating a Brief Advice Tobacco Cessation Intervention in High-reach, Low-resource Settings in India: Protocol for a Cluster Randomized Controlled Trial.JMIR research protocols · 2024Article
- Inclusive and intersectoral: community health improvement planning opportunities to advance the social determinants of health and health equity.BMC public health · 2024Article
- Building implementation science capacity among practitioners of cancer control: development of a pilot training curriculum.Cancer causes & control : CCC · 2022Review
- 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
- Long-Term Evaluation of a Course on Evidence-Based Public Health in the U.S. and Europe.American journal of preventive medicine · 2021Article
- Implementing Implementation Research: Teaching Implementation Research to HIV Researchers.Current HIV/AIDS reports · 2021Review
- Key considerations for designing capacity-building interventions to support evidence-based programming in underserved communities: a qualitative exploration.Translational behavioral medicine · 2021Article
- Islamic Trauma Healing: Integrating Faith and Empirically Supported Principles in a Community-Based Program.Cognitive and behavioral practice · 2021Article
- Design and baseline data of a randomized trial comparing two methods for scaling-up an occupational sun protection intervention.Contemporary clinical trials · 2020Article
- Preferred modalities for delivering continuing education to the public health workforce: a scoping review.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2020Article
- Designing Capacity-Building Supports to Promote Evidence-Based Programs in Community-Based Organizations Working with Underserved Populations.Progress in community health partnerships : research, education, and action · 2020Article
- Decentralizing evidence-based decision-making in resource limited setting: A case of SNNP region, Ethiopia.PloS one · 2020Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
backgroundThere are few studies describing how to scale up effective capacity-building approaches for public health practitioners. This study tested local-level evidence-based decision making (EBDM) capacity-building efforts in four U.S. states (Michigan, North Carolina, Ohio, and Washington) with a quasi-experimental design.
methodsPartners within the four states delivered a previously established Evidence-Based Public Health (EBPH) training curriculum to local health department (LHD) staff. They worked with the research team to modify the curriculum with local data and examples while remaining attentive to course fidelity. Pre- and post-assessments of course participants (n=82) and an external control group (n=214) measured importance, availability (i.e., how available a skill is when needed, either within the skillset of the respondent or among others in the agency), and gaps in ten EBDM competencies. Simple and multiple linear regression models assessed the differences between pre- and post-assessment scores. Course participants also assessed the impact of the course on their work.
resultsCourse participants reported greater increases in the availability, and decreases in the gaps, in EBDM competencies at post-test, relative to the control group. In adjusted models, significant differences (p<0.05) were found in 'action planning,' 'evaluation design,' 'communicating research to policymakers,' 'quantifying issues (using descriptive epidemiology),' and 'economic evaluation.' Nearly 45% of participants indicated that EBDM increased within their agency since the training. Course benefits included becoming better leaders and making scientifically informed decisions.
conclusionsThis study demonstrates the potential for improving EBDM capacity among LHD practitioners using a train-the-trainer approach involving diverse partners. This approach allowed for local tailoring of strategies and extended the reach of the EBPH course.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.