CoChat
Sign Up
Cited by 70Health Policy Implementation SciencePublic Health Policies and EducationEvaluation and Performance Assessment

Understanding mis-implementation in Public Health practice

Open access
Brownson, Ross C., Allen, Peg, Jacob, Rebekah R., Harris, Jenine K., Duggan, Kathleen, Hipp, Pamela R., Erwin, Paul C.·2015·American Journal of Preventive Medicine
DOI 10.1016/j.amepre.2014.11.015PMC PMC4405656
Open this paper in CoChat — free account

Abstract

Introduction A better understanding of mis-implementation in public health (ending effective programs and policies or continuing ineffective ones) may provide important information for decision makers. The purpose of this study is to describe the frequency and patterns in mis-implementation of programs in state and local health departments in the U.S.Methods A cross-sectional study of 944 public health practitioners was conducted. The sample included state (n=277) and local health department employees (n=398) and key partners from other agencies (n=269). Data were collected from October 2013 through June 2014 (analyzed in May through October 2014). Online survey questions focused on ending programs that should continue, continuing programs that should end, and reasons for endings.Results Among state health department employees, 36.5% reported that programs often or always end that should have continued, compared with 42.0% of respondents in local health departments and 38.3% of respondents working in other agencies. In contrast to ending programs that should have continued, 24.7% of state respondents reported programs often or always continuing when they should have ended, compared to 29.4% for local health departments and 25% of respondents working in other agencies. Certain reasons for program endings differed at the state versus local level (e.g., policy support, support from agency leadership), suggesting that actions to address mis-implementation are likely to vary.Conclusions The current data suggest a need to focus on mis-implementation in public health practice in order to make the best use of scarce resources.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.amepre.2014.11.015

Cites

47 of 47 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Many effective programs are discontinued prematurely and many ineffective ones continued when they should be terminated.

    “And unfortunately many effective programs are discontinued prematurely and many ineffective ones continued when they should be terminated [73].”

    From Social Network Analysis for Program Implementation (2015) · cites this paper as [73]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 2

  1. [23]Delaune J Everett W Waste and Inefficiency in the U.S. Health Care System--Clinical Care: A Comprehensive Analysis in Support of System-wide Improvements 2008 New England Healthcare Institute Cambridge, MA
  2. [24]Kohn L Corrigan J Donaldson M To Err Is Human: Building a Safer Health Care System 2000 National Academies Press Washington, DC 25077248

Cited by

Sorted by citations

Related

Authors
Brownson, R. C., Allen, P., Jacob, R. R., Harris, J. K., Duggan, K., Hipp, P. R., & Erwin, P. C.
Affiliations
  • Washington University in St. Louis (US)
  • Centene Corporation (United States) (US)
  • University of Tennessee at Knoxville (US)
Corresponding author
Brownson, Ross C.
ORCID
Venue
American Journal of Preventive Medicine
Publisher
Elsevier BV
Published
2015-05
Volume
48
Issue
5
Pages
543-551
ISSN
0749-3797 (ISSN-L)
DOI
10.1016/j.amepre.2014.11.015
PMC
PMC4405656
OpenAlex
W2077382703
Cited by
70
References
47
Citations by year
2026: 2 · 2025: 4 · 2024: 8 · 2023: 12 · 2022: 9 · 2021: 9 · 2020: 10 · 2019: 4 · 2018: 6 · 2017: 3 · 2016: 1 · 2015: 2
FWCI
7.29
Type
journal article
Language
en
Open access
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • American Journal of Preventive Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Cancer Institute (R01CA160327)
  • National Institute of Diabetes and Digestive and Kidney Diseases (P30DK092950)
  • National Center for Chronic Disease Prevention and Health Promotion (U48-DP-001903)
Topics
  • Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
  • Health Sciences › Health Professions › General Health Professions › Public Health Policies and Education
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Evaluation and Performance Assessment
Keywords
MIS implementation, program termination, program continuation, state health departments, local health departments, public health workforce, policy support, leadership support, resource allocation, public health practice
MeSH terms
Adult, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, United States, Public Health Practice, Young Adult, Self Report

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review