Evidence map›Paper›PMID 32228688›Full record

ArticleBMC health services research2020

Perspectives on program mis-implementation among U.S. local public health departments.

Peg Allen, Rebekah R Jacob, Renee G Parks, Stephanie Mazzucca, Hengrui Hu, Mackenzie Robinson, Maureen Dobbins, Debra Dekker, Margaret Padek, Ross C Brownson

Abstract read
In one paragraph

Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Enhancing Impact: A Call to Action for Equitable Implementation Science.Prevention science : the official journal of the Society for Prevention Research · 2024
    Article
  4. Article
  5. Article
  6. Article
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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

10 authors.

Peg AllenPrevention Research Center in St. Louis, Brown School, Washington University in St. Louis, One Brookings Drive, Campus Box 1196, St. Louis, MO, 63130-4838, USA. pegallen@wustl.edu.
Rebekah R JacobPrevention Research Center in St. Louis, Brown School, Washington University in St. Louis, One Brookings Drive, Campus Box 1196, St. Louis, MO, 63130-4838, USA.
Renee G ParksPrevention Research Center in St. Louis, Brown School, Washington University in St. Louis, One Brookings Drive, Campus Box 1196, St. Louis, MO, 63130-4838, USA.
Stephanie MazzuccaPrevention Research Center in St. Louis, Brown School, Washington University in St. Louis, One Brookings Drive, Campus Box 1196, St. Louis, MO, 63130-4838, USA.
Hengrui HuPrevention Research Center in St. Louis, Brown School, Washington University in St. Louis, One Brookings Drive, Campus Box 1196, St. Louis, MO, 63130-4838, USA.
Mackenzie RobinsonPrevention Research Center in St. Louis, Brown School, Washington University in St. Louis, One Brookings Drive, Campus Box 1196, St. Louis, MO, 63130-4838, USA.
Maureen DobbinsNational Collaborating Centre for Methods and Tools, McMaster University, McMaster Innovation Park (MIP), 175 Longwood Road South, Suite 210a, Hamilton, Ontario, L8P 0A1, Canada.
Debra DekkerNational Association of County and City Health Officials (NACCHO), 1201 Eye Street, NW, 4th Floor, Washington, DC, 20005, USA.
Margaret PadekPrevention Research Center in St. Louis, Brown School, Washington University in St. Louis, One Brookings Drive, Campus Box 1196, St. Louis, MO, 63130-4838, USA.
Ross C BrownsonPrevention Research Center in St. Louis, Brown School, Washington University in St. Louis, One Brookings Drive, Campus Box 1196, St. Louis, MO, 63130-4838, USA.

Funding

Washington University Implementation Science Center for Cancer Control (WU-ISCCC)P50CA244431 · NCI · WASHINGTON UNIVERSITY · PI BROWNSON, ROSS C, COLDITZ, GRAHAM A. · 2019 to 2023
$8.0M
Enhancing Evidence-based Diabetes Control Among Local Health DepartmentsR01DK109913 · NIDDK · WASHINGTON UNIVERSITY · PI BROWNSON, ROSS C · 2016 to 2020
$2.9M
CDC HHS U48DP006395NCCDPHP CDC HHS U48 DP006395NCI NIH HHS 1P50CA244431NCI NIH HHS P50 CA244431NIDDK NIH HHS 5R01DK109913NIDDK NIH HHS R01 DK109913
6 · The paper itself

Abstract

backgroundPublic health resources are limited and best used for effective programs. This study explores associations of mis-implementation in public health (ending effective programs or continuing ineffective programs) with organizational supports for evidence-based decision making among U.S. local health departments.

methodsThe national U.S. sample for this cross-sectional study was stratified by local health department jurisdiction population size. One person was invited from each randomly selected local health department: the leader in chronic disease, or the director. Of 600 selected, 579 had valid email addresses; 376 completed the survey (64.9% response). Survey items assessed frequency of and reasons for mis-implementation. Participants indicated agreement with statements on organizational supports for evidence-based decision making (7-point Likert).

resultsThirty percent (30.0%) reported programs often or always ended that should have continued (inappropriate termination); organizational supports for evidence-based decision making were not associated with the frequency of programs ending. The main reason given for inappropriate termination was grant funding ended (86.0%). Fewer (16.4%) reported programs often or always continued that should have ended (inappropriate continuation). Higher perceived organizational supports for evidence-based decision making were associated with less frequent inappropriate continuation (odds ratio = 0.86, 95% confidence interval 0.79, 0.94). All organizational support factors were negatively associated with inappropriate continuation. Top reasons were sustained funding (55.6%) and support from policymakers (34.0%).

conclusionsOrganizational supports for evidence-based decision making may help local health departments avoid continuing programs that should end. Creative mechanisms of support are needed to avoid inappropriate termination. Understanding what influences mis-implementation can help identify supports for de-implementation of ineffective programs so resources can go towards evidence-based programs.

Indexed as

Evidence-Based PracticeProgram EvaluationPublic Health AdministrationChronic DiseaseCross-Sectional StudiesDecision MakingFemaleHumansLeadershipLocal GovernmentMaleOdds RatioResource AllocationSurveys and QuestionnairesUnited StatesDe-implementationEvidence-based decision makingEvidence-based public healthHealth departmentsImplementation scienceMis-implementation

Identifiers

PMID32228688
PMCPMC7106610

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.