Evidence map›Paper›PMID 34020850›Full record

ArticleAmerican journal of preventive medicine2021

Long-Term Evaluation of a Course on Evidence-Based Public Health in the U.S. and Europe.

Rebekah R Jacob, Carol A Brownson, Anjali D Deshpande, Amy A Eyler, Kathleen N Gillespie, Jennie Hefelfinger, Paul C Erwin, Marti Macchi, Ross C Brownson

Abstract read
In one paragraph

Article in American journal of preventive medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
  2. Correlates of chronic pain onset and recovery in the CoLaus cohort.European journal of pain (London, England) · 2025
    Article
  3. Review
  4. Article
  5. Program adaptation by health departments.Frontiers in public health · 2022
    Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Rebekah R JacobPrevention Research Center in St. Louis, Brown School, Washington University in St. Louis, St. Louis, Missouri. Electronic address: rebekahjacob@wustl.edu.
Carol A BrownsonPrevention Research Center in St. Louis, Brown School, Washington University in St. Louis, St. Louis, Missouri.
Anjali D DeshpandeDepartment of Epidemiology, Iowa College of Public Health, The University of Iowa, Iowa City, Iowa.
Amy A EylerPrevention Research Center in St. Louis, Brown School, Washington University in St. Louis, St. Louis, Missouri.
Kathleen N GillespieDepartment of Health Management and Policy, College for Public Health and Social Justice, Saint Louis University, St. Louis, Missouri.
Jennie HefelfingerNational Association of Chronic Disease Directors (NACDD), Decatur, Georgia.
Paul C ErwinSchool of Public Health, The University of Alabama at Birmingham, Birmingham, Alabama.
Marti MacchiNational Association of Chronic Disease Directors (NACDD), Decatur, Georgia.
Ross C BrownsonPrevention Research Center in St. Louis, Brown School, Washington University in St. Louis, St. Louis, Missouri; Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, Washington University in St. Louis, St. Louis, Missouri; Alvin J. Siteman Cancer Center, Washington University School of Medicine, Washington University in St. Louis, St. Louis, Missouri.

Funding

Washington University Center for Diabetes Translation Research P30DK092950 · NIDDK · WASHINGTON UNIVERSITY · PI Ross C Brownson, Debra Haire-Joshu · 2011 to 2026
$11.7M
ACL HHS U48DP006395NCCDPHP CDC HHS U48 DP006395NIDDK NIH HHS P30 DK092950
6 · The paper itself

Abstract

The evidence-based public health course equips public health professionals with skills and tools for applying evidence-based frameworks and processes in public health practice. To date, training has included participants from all the 50 U.S. states, 2 U.S. territories, and multiple other countries besides the U.S. This study pooled follow-up efforts (5 surveys, with 723 course participants, 2005-2019) to explore the benefits, application, and barriers to applying the evidence-based public health course content. All analyses were completed in 2020. The most common benefits (reported by >80% of all participants) were identifying ways to apply knowledge in their work, acquiring new knowledge, and becoming a better leader who promotes evidence-based approaches. Participants most frequently applied course content to searching the scientific literature (72.9%) and least frequently to writing grants (42.7%). Lack of funds for continued training (35.3%), not having enough time to implement evidence-based public health approaches (33.8%), and not having coworkers trained in evidence-based public health (33.1%) were common barriers to applying the content from the course. Mean scores were calculated for benefits, application, and barriers to explore subgroup differences. European participants generally reported higher benefits from the course (mean difference=0.12, 95% CI=0.00, 0.23) and higher frequency of application of the course content to their job (mean difference=0.17, 95% CI=0.06, 0.28) than U.S. participants. Participants from later cohorts (2012-2019) reported more overall barriers to applying course content in their work (mean difference=0.15, 95% CI=0.05, 0.24). The evidence-based public health course represents an important strategy for increasing the capacity (individual skills) for evidence-based processes within public health practice. Organization-level methods are also needed to scale up and sustain capacity-building efforts.

Indexed as

Capacity BuildingPublic HealthEuropeHealth PersonnelHumansSurveys and Questionnaires

Identifiers

PMID34020850
PMCPMC10288838

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.