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Organizational Supports for Research Evidence Use in State Public Health Agencies: A Latent Class Analysis

OBJECTIVE: Use of research evidence in public health decision making can be affected by organizational supports. Study objectives are to identify patterns of organizational supports and explore associations with research evidence use for job tasks among public health practitioners. DESIGN: In this l...

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Autores principales: Hu, Hengrui, Allen, Peg, Yan, Yan, Reis, Rodrigo S., Jacob, Rebekah R., Brownson, Ross C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health, Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6269222/
https://www.ncbi.nlm.nih.gov/pubmed/31136511
http://dx.doi.org/10.1097/PHH.0000000000000821
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author Hu, Hengrui
Allen, Peg
Yan, Yan
Reis, Rodrigo S.
Jacob, Rebekah R.
Brownson, Ross C.
author_facet Hu, Hengrui
Allen, Peg
Yan, Yan
Reis, Rodrigo S.
Jacob, Rebekah R.
Brownson, Ross C.
author_sort Hu, Hengrui
collection PubMed
description OBJECTIVE: Use of research evidence in public health decision making can be affected by organizational supports. Study objectives are to identify patterns of organizational supports and explore associations with research evidence use for job tasks among public health practitioners. DESIGN: In this longitudinal study, we used latent class analysis to identify organizational support patterns, followed by mixed logistic regression analysis to quantify associations with research evidence use. SETTING: The setting included 12 state public health department chronic disease prevention units and their external partnering organizations involved in chronic disease prevention. PARTICIPANTS: Chronic disease prevention staff from 12 US state public health departments and partnering organizations completed self-report surveys at 2 time points, in 2014 and 2016 (N = 872). MAIN OUTCOME MEASURES: Latent class analysis was employed to identify subgroups of survey participants with distinct patterns of perceived organizational supports. Two classify-analyze approaches (maximum probability assignment and multiple pseudo-class draws) were used in 2017 to investigate the association between latent class membership and research evidence use. RESULTS: The optimal model identified 4 latent classes, labeled as “unsupportive workplace,” “low agency leadership support,” “high agency leadership support,” and “supportive workplace.” With maximum probability assignment, participants in “high agency leadership support” (odds ratio = 2.08; 95% CI, 1.35-3.23) and “supportive workplace” (odds ratio = 1.74; 95% CI, 1.10-2.74) were more likely to use research evidence in job tasks than “unsupportive workplace.” The multiple pseudo-class draws produced comparable results with odds ratio = 2.09 (95% CI, 1.31-3.30) for “high agency leadership support” and odds ratio = 1.74 (95% CI, 1.07-2.82) for “supportive workplace.” CONCLUSIONS: Findings suggest that leadership support may be a crucial element of organizational supports to encourage research evidence use. Organizational supports such as supervisory expectations, access to evidence, and participatory decision making may need leadership support as well to improve research evidence use in public health job tasks.
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spelling pubmed-62692222019-07-22 Organizational Supports for Research Evidence Use in State Public Health Agencies: A Latent Class Analysis Hu, Hengrui Allen, Peg Yan, Yan Reis, Rodrigo S. Jacob, Rebekah R. Brownson, Ross C. J Public Health Manag Pract Research Reports OBJECTIVE: Use of research evidence in public health decision making can be affected by organizational supports. Study objectives are to identify patterns of organizational supports and explore associations with research evidence use for job tasks among public health practitioners. DESIGN: In this longitudinal study, we used latent class analysis to identify organizational support patterns, followed by mixed logistic regression analysis to quantify associations with research evidence use. SETTING: The setting included 12 state public health department chronic disease prevention units and their external partnering organizations involved in chronic disease prevention. PARTICIPANTS: Chronic disease prevention staff from 12 US state public health departments and partnering organizations completed self-report surveys at 2 time points, in 2014 and 2016 (N = 872). MAIN OUTCOME MEASURES: Latent class analysis was employed to identify subgroups of survey participants with distinct patterns of perceived organizational supports. Two classify-analyze approaches (maximum probability assignment and multiple pseudo-class draws) were used in 2017 to investigate the association between latent class membership and research evidence use. RESULTS: The optimal model identified 4 latent classes, labeled as “unsupportive workplace,” “low agency leadership support,” “high agency leadership support,” and “supportive workplace.” With maximum probability assignment, participants in “high agency leadership support” (odds ratio = 2.08; 95% CI, 1.35-3.23) and “supportive workplace” (odds ratio = 1.74; 95% CI, 1.10-2.74) were more likely to use research evidence in job tasks than “unsupportive workplace.” The multiple pseudo-class draws produced comparable results with odds ratio = 2.09 (95% CI, 1.31-3.30) for “high agency leadership support” and odds ratio = 1.74 (95% CI, 1.07-2.82) for “supportive workplace.” CONCLUSIONS: Findings suggest that leadership support may be a crucial element of organizational supports to encourage research evidence use. Organizational supports such as supervisory expectations, access to evidence, and participatory decision making may need leadership support as well to improve research evidence use in public health job tasks. Wolters Kluwer Health, Inc. 2019-07 2019-05-28 /pmc/articles/PMC6269222/ /pubmed/31136511 http://dx.doi.org/10.1097/PHH.0000000000000821 Text en © 2018 The Authors. Published by Wolters Kluwer Health, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (http://creativecommons.org/licenses/by-nc-nd/4.0/) (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Research Reports
Hu, Hengrui
Allen, Peg
Yan, Yan
Reis, Rodrigo S.
Jacob, Rebekah R.
Brownson, Ross C.
Organizational Supports for Research Evidence Use in State Public Health Agencies: A Latent Class Analysis
title Organizational Supports for Research Evidence Use in State Public Health Agencies: A Latent Class Analysis
title_full Organizational Supports for Research Evidence Use in State Public Health Agencies: A Latent Class Analysis
title_fullStr Organizational Supports for Research Evidence Use in State Public Health Agencies: A Latent Class Analysis
title_full_unstemmed Organizational Supports for Research Evidence Use in State Public Health Agencies: A Latent Class Analysis
title_short Organizational Supports for Research Evidence Use in State Public Health Agencies: A Latent Class Analysis
title_sort organizational supports for research evidence use in state public health agencies: a latent class analysis
topic Research Reports
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6269222/
https://www.ncbi.nlm.nih.gov/pubmed/31136511
http://dx.doi.org/10.1097/PHH.0000000000000821
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