Evidence map›Paper›PMID 33504338›Full record

ArticleBMC public health2021

Patterns and correlates of mis-implementation in state chronic disease public health practice in the United States.

Margaret M Padek, Stephanie Mazzucca, Peg Allen, Emily Rodriguez Weno, Edward Tsai, Douglas A Luke, Ross C Brownson

Abstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  5. Review
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  9. Article
  10. Program adaptation by health departments.Frontiers in public health · 2022
    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

7 authors.

Margaret M PadekPrevention Research Center, Brown School at Washington University in St. Louis, 1 Brookings Drive, Campus Box 1196, St. Louis, MO, 63130, USA. mpadek@wustl.edu.ORCID 0000-0002-9825-4513
Stephanie MazzuccaPrevention Research Center, Brown School at Washington University in St. Louis, 1 Brookings Drive, Campus Box 1196, St. Louis, MO, 63130, USA.
Peg AllenPrevention Research Center, Brown School at Washington University in St. Louis, 1 Brookings Drive, Campus Box 1196, St. Louis, MO, 63130, USA.
Emily Rodriguez WenoPrevention Research Center, Brown School at Washington University in St. Louis, 1 Brookings Drive, Campus Box 1196, St. Louis, MO, 63130, USA.
Edward TsaiDepartment of Surgery, Division of Public Health Sciences, and Alvin J. Siteman Cancer Center, Washington University School of Medicine, Washington University in St. Louis 1 Brookings Dr, St. Louis, MO, 63130, USA.
Douglas A LukeCenter for Public Health System Science, Brown School at Washington University in St Louis, St Louis, MO, USA.
Ross C BrownsonPrevention Research Center, Brown School at Washington University in St. Louis, 1 Brookings Drive, Campus Box 1196, St. Louis, MO, 63130, USA.

Funding

Washington University Center for Diabetes Translation Research P30DK092950 · NIDDK · WASHINGTON UNIVERSITY · PI Ross C Brownson, Debra Haire-Joshu · 2011 to 2026
$11.7M
Mis-Implementation in Cancer Prevention and ControlR01CA214530 · NCI · WASHINGTON UNIVERSITY · PI BROWNSON, ROSS C · 2017 to 2021
$2.7M
NCI NIH HHS R01 CA214530NIDDK NIH HHS P30 DK092950
6 · The paper itself

Abstract

backgroundMuch of the disease burden in the United States is preventable through application of existing knowledge. State-level public health practitioners are in ideal positions to affect programs and policies related to chronic disease, but the extent to which mis-implementation occurring with these programs is largely unknown. Mis-implementation refers to ending effective programs and policies prematurely or continuing ineffective ones.

methodsA 2018 comprehensive survey assessing the extent of mis-implementation and multi-level influences on mis-implementation was reported by state health departments (SHDs). Questions were developed from previous literature. Surveys were emailed to randomly selected SHD employees across the Unites States. Spearman's correlation and multinomial logistic regression were used to assess factors in mis-implementation.

resultsHalf (50.7%) of respondents were chronic disease program managers or unit directors. Forty nine percent reported that programs their SHD oversees sometimes, often or always continued ineffective programs. Over 50% also reported that their SHD sometimes or often ended effective programs. The data suggest the strongest correlates and predictors of mis-implementation were at the organizational level. For example, the number of organizational layers impeded decision-making was significant for both continuing ineffective programs (OR=4.70; 95% CI=2.20, 10.04) and ending effective programs (OR=3.23; 95% CI=1.61, 7.40).

conclusionThe data suggest that changing certain agency practices may help in minimizing the occurrence of mis-implementation. Further research should focus on adding context to these issues and helping agencies engage in appropriate decision-making. Greater attention to mis-implementation should lead to greater use of effective interventions and more efficient expenditure of resources, ultimately to improve health outcomes.

Indexed as

Public HealthPublic Health PracticeChronic DiseaseHumansSurveys and QuestionnairesUnited StatesChronic diseaseEvidence-based public healthHealth departmentsMis-implementation

Identifiers

PMID33504338
PMCPMC7840223

What OpenQuestion holds

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Registered trials

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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.