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Patterns and correlates of use of evidence-based interventions to control diabetes by local health departments across the USA

OBJECTIVE: The nearly 3000 local health departments (LHDs) nationwide are the front line of public health and are positioned to implement evidence-based interventions (EBIs) for diabetes control. Yet little is currently known about use of diabetes-related EBIs among LHDs. This study used a national...

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Autores principales: Tabak, Rachel G, Parks, Renee G, Allen, Peg, Jacob, Rebekah R, Mazzucca, Stephanie, Stamatakis, Katherine A, Poehler, Allison R, Chin, Marshall H, Dobbins, Maureen, Dekker, Debra, Brownson, Ross C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6135437/
https://www.ncbi.nlm.nih.gov/pubmed/30233805
http://dx.doi.org/10.1136/bmjdrc-2018-000558
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author Tabak, Rachel G
Parks, Renee G
Allen, Peg
Jacob, Rebekah R
Mazzucca, Stephanie
Stamatakis, Katherine A
Poehler, Allison R
Chin, Marshall H
Dobbins, Maureen
Dekker, Debra
Brownson, Ross C
author_facet Tabak, Rachel G
Parks, Renee G
Allen, Peg
Jacob, Rebekah R
Mazzucca, Stephanie
Stamatakis, Katherine A
Poehler, Allison R
Chin, Marshall H
Dobbins, Maureen
Dekker, Debra
Brownson, Ross C
author_sort Tabak, Rachel G
collection PubMed
description OBJECTIVE: The nearly 3000 local health departments (LHDs) nationwide are the front line of public health and are positioned to implement evidence-based interventions (EBIs) for diabetes control. Yet little is currently known about use of diabetes-related EBIs among LHDs. This study used a national online survey to determine the patterns and correlates of the Centers for Disease Control and Prevention Community Guide-recommended EBIs for diabetes control in LHDs. RESEARCH DESIGN AND METHODS: A cross-sectional study was conducted to survey a stratified random sample of LHDs regarding department characteristics, respondent characteristics, evidence-based decision making within the LHD, and delivery of EBIs (directly or in collaboration) within five categories (diabetes-related, nutrition, physical activity, obesity, and tobacco). Associations between delivering EBIs and respondent and LHD characteristics and evidence-based decision making were explored using logistic regression models. RESULTS: Among 240 LHDs there was considerable variation among the EBIs delivered. Diabetes prevalence in the state was positively associated with offering the Diabetes Prevention Program (OR=1.28 (95% CI 1.02 to 1.62)), diabetes self-management education (OR=1.32 (95% CI 1.04 to 1.67)), and identifying patients and determining treatment (OR=1.27 (95% CI 1.05 to 1.54)). Although all organizational supports for evidence-based decision making factors were related in a positive direction, the only significant association was between evaluation capacity and identifying patients with diabetes and determining effective treatment (OR=1.54 (95% CI 1.08 to 2.19)). CONCLUSION: Supporting evidence-based decision making and increasing the implementation of these EBIs by more LHDs can help control diabetes nationwide.
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spelling pubmed-61354372018-09-19 Patterns and correlates of use of evidence-based interventions to control diabetes by local health departments across the USA Tabak, Rachel G Parks, Renee G Allen, Peg Jacob, Rebekah R Mazzucca, Stephanie Stamatakis, Katherine A Poehler, Allison R Chin, Marshall H Dobbins, Maureen Dekker, Debra Brownson, Ross C BMJ Open Diabetes Res Care Epidemiology/Health Services Research OBJECTIVE: The nearly 3000 local health departments (LHDs) nationwide are the front line of public health and are positioned to implement evidence-based interventions (EBIs) for diabetes control. Yet little is currently known about use of diabetes-related EBIs among LHDs. This study used a national online survey to determine the patterns and correlates of the Centers for Disease Control and Prevention Community Guide-recommended EBIs for diabetes control in LHDs. RESEARCH DESIGN AND METHODS: A cross-sectional study was conducted to survey a stratified random sample of LHDs regarding department characteristics, respondent characteristics, evidence-based decision making within the LHD, and delivery of EBIs (directly or in collaboration) within five categories (diabetes-related, nutrition, physical activity, obesity, and tobacco). Associations between delivering EBIs and respondent and LHD characteristics and evidence-based decision making were explored using logistic regression models. RESULTS: Among 240 LHDs there was considerable variation among the EBIs delivered. Diabetes prevalence in the state was positively associated with offering the Diabetes Prevention Program (OR=1.28 (95% CI 1.02 to 1.62)), diabetes self-management education (OR=1.32 (95% CI 1.04 to 1.67)), and identifying patients and determining treatment (OR=1.27 (95% CI 1.05 to 1.54)). Although all organizational supports for evidence-based decision making factors were related in a positive direction, the only significant association was between evaluation capacity and identifying patients with diabetes and determining effective treatment (OR=1.54 (95% CI 1.08 to 2.19)). CONCLUSION: Supporting evidence-based decision making and increasing the implementation of these EBIs by more LHDs can help control diabetes nationwide. BMJ Publishing Group 2018-09-05 /pmc/articles/PMC6135437/ /pubmed/30233805 http://dx.doi.org/10.1136/bmjdrc-2018-000558 Text en © Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: http://creativecommons.org/licenses/by/4.0/
spellingShingle Epidemiology/Health Services Research
Tabak, Rachel G
Parks, Renee G
Allen, Peg
Jacob, Rebekah R
Mazzucca, Stephanie
Stamatakis, Katherine A
Poehler, Allison R
Chin, Marshall H
Dobbins, Maureen
Dekker, Debra
Brownson, Ross C
Patterns and correlates of use of evidence-based interventions to control diabetes by local health departments across the USA
title Patterns and correlates of use of evidence-based interventions to control diabetes by local health departments across the USA
title_full Patterns and correlates of use of evidence-based interventions to control diabetes by local health departments across the USA
title_fullStr Patterns and correlates of use of evidence-based interventions to control diabetes by local health departments across the USA
title_full_unstemmed Patterns and correlates of use of evidence-based interventions to control diabetes by local health departments across the USA
title_short Patterns and correlates of use of evidence-based interventions to control diabetes by local health departments across the USA
title_sort patterns and correlates of use of evidence-based interventions to control diabetes by local health departments across the usa
topic Epidemiology/Health Services Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6135437/
https://www.ncbi.nlm.nih.gov/pubmed/30233805
http://dx.doi.org/10.1136/bmjdrc-2018-000558
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