Capacity building for evidence-based decision making in local health departments: scaling up an effective training approach
Open accessAbstract
BACKGROUND: There 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. METHODS: Partners 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. RESULTS: Course 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. CONCLUSIONS: This 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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Capacity-building strategies target motivation and capability to engage in implementation process strategies (in general, not related to a specific EBI).
“Motivation and capability to engage in implementation process strategies(in general, not related to a specific EBI)”
From Beyond “implementation strategies”: classifying the full range of strategies used in implementation science and practice (2017) · cites this paper as [39]
Capacity-building strategies target levels of individual and processes.
“Targets levels of individual and processes”
From Beyond “implementation strategies”: classifying the full range of strategies used in implementation science and practice (2017) · cites this paper as [39]
Outcomes used to assess effectiveness of capacity-building strategies are individual and collective self-efficacy and motivation to engage in implementation process strategies and team completion of implementation process strategies.
“Individual and collective self-efficacy and motivation to engage in implementation process strategiesTeam completion of implementation process strategies”
From Beyond “implementation strategies”: classifying the full range of strategies used in implementation science and practice (2017) · cites this paper as [39]
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Ssegujja, E., Kiggundu, P., Kayemba, Y., Karen, S. Z., & Rutebemberwa, E. (2024) · Discover Health Systems · doi:10.1007/s44250-024-00109-2 · Cited by 2 · see citing works
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Self-citationRatnapalan, S. (2019) · TSpace (University of Toronto)
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- Authors
- Jacobs, J. A., Duggan, K., Erwin, P., Smith, C., Borawski, E., Compton, J., D’Ambrosio, L., Frank, S. H., Frazier-Kouassi, S., Hannon, P. A., Leeman, J., Mainor, A., & Brownson, R. C.
- Affiliations
- Washington University in St. Louis (US)
- University of Tennessee at Knoxville (US)
- Case Western Reserve University (US)
- University of Michigan (US)
- University of Washington (US)
- University of North Carolina at Chapel Hill (US)
- Corresponding author
- Brownson, Ross C
- Venue
- Implementation Science
- Published
- 2014-09-24
- Volume
- 9
- Issue
- 1
- Pages
- 124-124
- ISSN
- 1748-5908 (ISSN-L)
- PMC
- PMC4180843
- OpenAlex
- W2145210733
- Cited by
- 68
- References
- 34
- Citations by year
- 2026: 1 · 2025: 6 · 2024: 8 · 2022: 3 · 2021: 4 · 2020: 10 · 2019: 4 · 2018: 9 · 2017: 11 · 2016: 5 · 2015: 6 · 2014: 1
- FWCI
- 13.85
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Implementation Science (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
- Digital Commons@Becker (Washington University School of Medicine) (submittedVersion)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion, cc-by)
- Deep Blue (University of Michigan) (submittedVersion)
- UNC Libraries
- Funders
- Washington University in St. Louis
- Saint Louis University
- National Institutes of Health (UL1TR000439)
- Centers for Disease Control and Prevention (U48DP001903)
- National Institute of Diabetes and Digestive and Kidney Diseases (P30DK092950)
- National Center for Chronic Disease Prevention and Health Promotion (U48 DP001930, U48-DP-001903)
- National Center for Advancing Translational Sciences
- Topics
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Health Sciences › Health Professions › General Health Professions › Health Sciences Research and Education
- Health Sciences › Health Professions › General Health Professions › Public Health Policies and Education
- Keywords
- evidence-based decision making, capacity building, local health departments, trainer training, public health workforce, action planning, economic evaluation, descriptive epidemiology, evaluation design
- MeSH terms
- Data Collection, Data Interpretation, Statistical, Decision Making, Female, Health Personnel, Humans, Male, Personnel Selection, Professional Competence, Public Health, Surveys and Questionnaires, United States, Control Groups, Evidence-Based Practice, Capacity Building
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