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Patient-specific factors associated with use of diabetes self-management education and support programs in Louisiana

INTRODUCTION: The prevalence of diabetes self-management education and support (DSME/S) use among patients with newly diagnosed type 2 diabetes mellitus (T2DM) and patients with insulin prescription has not been evaluated. It is also unclear what demographic, behavioral, and clinical factors associa...

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Autores principales: Yoshida, Yilin, Hong, Dongzhe, Nauman, Elizabeth, Price-Haywood, Eboni G, Bazzano, Alessandra N, Stoecker, Charles, Hu, Gang, Shen, Yun, Katzmarzyk, Peter T, Fonseca, Vivian A, Shi, Lizheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8679102/
https://www.ncbi.nlm.nih.gov/pubmed/34933871
http://dx.doi.org/10.1136/bmjdrc-2021-002136
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author Yoshida, Yilin
Hong, Dongzhe
Nauman, Elizabeth
Price-Haywood, Eboni G
Bazzano, Alessandra N
Stoecker, Charles
Hu, Gang
Shen, Yun
Katzmarzyk, Peter T
Fonseca, Vivian A
Shi, Lizheng
author_facet Yoshida, Yilin
Hong, Dongzhe
Nauman, Elizabeth
Price-Haywood, Eboni G
Bazzano, Alessandra N
Stoecker, Charles
Hu, Gang
Shen, Yun
Katzmarzyk, Peter T
Fonseca, Vivian A
Shi, Lizheng
author_sort Yoshida, Yilin
collection PubMed
description INTRODUCTION: The prevalence of diabetes self-management education and support (DSME/S) use among patients with newly diagnosed type 2 diabetes mellitus (T2DM) and patients with insulin prescription has not been evaluated. It is also unclear what demographic, behavioral, and clinical factors associated with use of DSME/S. RESEARCH DESIGN AND METHODS: This retrospective analysis was based on electronic health records from the Research Action for Health Network (2013–2019). Patients with newly diagnosed T2DM were identified as 35–94 year-olds diagnosed with T2DM≥1 year after the first recorded office visit. Patients with insulin were identified by the first insulin prescription records. DSME/S (Healthcare Common Procedure Coding System G0108 and G0109) codes that occurred from 2 months before the ‘new diagnosis date’ or first insulin prescription date through 1 year after were defined as use of DSME/S. Age-matched controls (non-users) were identified from the Electronic Health Records (EHR). The date of first DSME/S record was selected as the index date. Logistic regression was used to estimate the associations between patient factors and use of DSME/S. RESULTS: The prevalence of DSME/S use was 6.5% (8909/137 629) among patients with newly diagnosed T2DM and 32.7% (13,152/40,212) among patients with diabetes taking insulin. Multivariable analysis found that among patients with newly diagnosed T2DM, black and male patients were less likely to use DSME/S, while in patients with insulin, they were more likely to use the service compared with white and female counterparts, respectively. Among patients taking insulin, those with private insurance or self-pay status were significantly less likely, while those with Medicaid were more likely to use the service compared with their Medicare counterparts. A strong positive association was found between HbA1c, obesity, and DSME/S use in both cohorts, while hypertension was negatively associated with DSME/S in both cohorts. CONCLUSION: We showed a low rate of DSME/S use in Louisiana, especially in patients with newly diagnosed T2DM. Our findings demonstrated heterogeneity in factors influencing DSME/S use between patients with newly diagnosed T2D and patients with insulin.
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spelling pubmed-86791022022-01-04 Patient-specific factors associated with use of diabetes self-management education and support programs in Louisiana Yoshida, Yilin Hong, Dongzhe Nauman, Elizabeth Price-Haywood, Eboni G Bazzano, Alessandra N Stoecker, Charles Hu, Gang Shen, Yun Katzmarzyk, Peter T Fonseca, Vivian A Shi, Lizheng BMJ Open Diabetes Res Care Epidemiology/Health services research INTRODUCTION: The prevalence of diabetes self-management education and support (DSME/S) use among patients with newly diagnosed type 2 diabetes mellitus (T2DM) and patients with insulin prescription has not been evaluated. It is also unclear what demographic, behavioral, and clinical factors associated with use of DSME/S. RESEARCH DESIGN AND METHODS: This retrospective analysis was based on electronic health records from the Research Action for Health Network (2013–2019). Patients with newly diagnosed T2DM were identified as 35–94 year-olds diagnosed with T2DM≥1 year after the first recorded office visit. Patients with insulin were identified by the first insulin prescription records. DSME/S (Healthcare Common Procedure Coding System G0108 and G0109) codes that occurred from 2 months before the ‘new diagnosis date’ or first insulin prescription date through 1 year after were defined as use of DSME/S. Age-matched controls (non-users) were identified from the Electronic Health Records (EHR). The date of first DSME/S record was selected as the index date. Logistic regression was used to estimate the associations between patient factors and use of DSME/S. RESULTS: The prevalence of DSME/S use was 6.5% (8909/137 629) among patients with newly diagnosed T2DM and 32.7% (13,152/40,212) among patients with diabetes taking insulin. Multivariable analysis found that among patients with newly diagnosed T2DM, black and male patients were less likely to use DSME/S, while in patients with insulin, they were more likely to use the service compared with white and female counterparts, respectively. Among patients taking insulin, those with private insurance or self-pay status were significantly less likely, while those with Medicaid were more likely to use the service compared with their Medicare counterparts. A strong positive association was found between HbA1c, obesity, and DSME/S use in both cohorts, while hypertension was negatively associated with DSME/S in both cohorts. CONCLUSION: We showed a low rate of DSME/S use in Louisiana, especially in patients with newly diagnosed T2DM. Our findings demonstrated heterogeneity in factors influencing DSME/S use between patients with newly diagnosed T2D and patients with insulin. BMJ Publishing Group 2021-12-15 /pmc/articles/PMC8679102/ /pubmed/34933871 http://dx.doi.org/10.1136/bmjdrc-2021-002136 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Epidemiology/Health services research
Yoshida, Yilin
Hong, Dongzhe
Nauman, Elizabeth
Price-Haywood, Eboni G
Bazzano, Alessandra N
Stoecker, Charles
Hu, Gang
Shen, Yun
Katzmarzyk, Peter T
Fonseca, Vivian A
Shi, Lizheng
Patient-specific factors associated with use of diabetes self-management education and support programs in Louisiana
title Patient-specific factors associated with use of diabetes self-management education and support programs in Louisiana
title_full Patient-specific factors associated with use of diabetes self-management education and support programs in Louisiana
title_fullStr Patient-specific factors associated with use of diabetes self-management education and support programs in Louisiana
title_full_unstemmed Patient-specific factors associated with use of diabetes self-management education and support programs in Louisiana
title_short Patient-specific factors associated with use of diabetes self-management education and support programs in Louisiana
title_sort patient-specific factors associated with use of diabetes self-management education and support programs in louisiana
topic Epidemiology/Health services research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8679102/
https://www.ncbi.nlm.nih.gov/pubmed/34933871
http://dx.doi.org/10.1136/bmjdrc-2021-002136
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