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Patterns and correlates of mis-implementation in state chronic disease public health practice in the United States
BACKGROUND: Much 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 t...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7840223/ https://www.ncbi.nlm.nih.gov/pubmed/33504338 http://dx.doi.org/10.1186/s12889-020-10101-z |
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author | Padek, Margaret M. Mazzucca, Stephanie Allen, Peg Rodriguez Weno, Emily Tsai, Edward Luke, Douglas A. Brownson, Ross C. |
author_facet | Padek, Margaret M. Mazzucca, Stephanie Allen, Peg Rodriguez Weno, Emily Tsai, Edward Luke, Douglas A. Brownson, Ross C. |
author_sort | Padek, Margaret M. |
collection | PubMed |
description | BACKGROUND: Much 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. METHODS: A 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. RESULTS: Half (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). CONCLUSION: The 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-020-10101-z. |
format | Online Article Text |
id | pubmed-7840223 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78402232021-01-28 Patterns and correlates of mis-implementation in state chronic disease public health practice in the United States Padek, Margaret M. Mazzucca, Stephanie Allen, Peg Rodriguez Weno, Emily Tsai, Edward Luke, Douglas A. Brownson, Ross C. BMC Public Health Research Article BACKGROUND: Much 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. METHODS: A 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. RESULTS: Half (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). CONCLUSION: The 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-020-10101-z. BioMed Central 2021-01-28 /pmc/articles/PMC7840223/ /pubmed/33504338 http://dx.doi.org/10.1186/s12889-020-10101-z Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Padek, Margaret M. Mazzucca, Stephanie Allen, Peg Rodriguez Weno, Emily Tsai, Edward Luke, Douglas A. Brownson, Ross C. Patterns and correlates of mis-implementation in state chronic disease public health practice in the United States |
title | Patterns and correlates of mis-implementation in state chronic disease public health practice in the United States |
title_full | Patterns and correlates of mis-implementation in state chronic disease public health practice in the United States |
title_fullStr | Patterns and correlates of mis-implementation in state chronic disease public health practice in the United States |
title_full_unstemmed | Patterns and correlates of mis-implementation in state chronic disease public health practice in the United States |
title_short | Patterns and correlates of mis-implementation in state chronic disease public health practice in the United States |
title_sort | patterns and correlates of mis-implementation in state chronic disease public health practice in the united states |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7840223/ https://www.ncbi.nlm.nih.gov/pubmed/33504338 http://dx.doi.org/10.1186/s12889-020-10101-z |
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