Identifying factors affecting diabetes education program participation within a metro Detroit integrated health system

Diabetes self-management education and support (DSMES) can help people achieve optimal disease control, yet these services often remain underutilized. People referred to these programs by their provider can become disengaged in the program at several key steps. This study applies Classification and...

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Autores principales: Denise White Perkins, Pam Milan, Kimberly Miazek, Suzanne Havstad, Ganesa Wegienka
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/bdbe2600a112401580dff0c7adae9d6f
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spelling oai:doaj.org-article:bdbe2600a112401580dff0c7adae9d6f2021-11-26T04:28:02ZIdentifying factors affecting diabetes education program participation within a metro Detroit integrated health system2211-335510.1016/j.pmedr.2021.101646https://doaj.org/article/bdbe2600a112401580dff0c7adae9d6f2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2211335521003375https://doaj.org/toc/2211-3355Diabetes self-management education and support (DSMES) can help people achieve optimal disease control, yet these services often remain underutilized. People referred to these programs by their provider can become disengaged in the program at several key steps. This study applies Classification and Regression Tree analysis to 3796 people with diabetes at a single health system based in the Detroit metropolitan area who were referred for DSMES provided by the health system to determine demographic patterns of those who were successfully contacted to schedule program intake appointments, those who did not attend their intake appointment, and those who began but did not complete their personalized DSMES program. White people > 43 years of age, those with a prior A1C value > 8.9 and those with Medicaid insurance had the highest rate of not being successfully contacted for their intake appointment. Those who did not attend their intake appointment tended to have Medicaid insurance, be younger than 48 years, and have A1C > 8.1. Within the Medicare or private insurance groups, those who did not attend were more likely to be female, of Black race and not partnered. Older males with a lower A1C (≤8.3%) had the lowest rate (34.0%) of failing to complete their DSMES plan. The data showed that almost half of those referred were not successfully contacted. The overall low completion rate of 13.2% confirms the need to examine factors predictive of participation and completion. This study highlights process improvement changes to improve personalization of outreach and engagement.Denise White PerkinsPam MilanKimberly MiazekSuzanne HavstadGanesa WegienkaElsevierarticleDiabetes self-management education and supportSocial determinants of healthDiabetesMedicineRENPreventive Medicine Reports, Vol 24, Iss , Pp 101646- (2021)
institution DOAJ
collection DOAJ
language EN
topic Diabetes self-management education and support
Social determinants of health
Diabetes
Medicine
R
spellingShingle Diabetes self-management education and support
Social determinants of health
Diabetes
Medicine
R
Denise White Perkins
Pam Milan
Kimberly Miazek
Suzanne Havstad
Ganesa Wegienka
Identifying factors affecting diabetes education program participation within a metro Detroit integrated health system
description Diabetes self-management education and support (DSMES) can help people achieve optimal disease control, yet these services often remain underutilized. People referred to these programs by their provider can become disengaged in the program at several key steps. This study applies Classification and Regression Tree analysis to 3796 people with diabetes at a single health system based in the Detroit metropolitan area who were referred for DSMES provided by the health system to determine demographic patterns of those who were successfully contacted to schedule program intake appointments, those who did not attend their intake appointment, and those who began but did not complete their personalized DSMES program. White people > 43 years of age, those with a prior A1C value > 8.9 and those with Medicaid insurance had the highest rate of not being successfully contacted for their intake appointment. Those who did not attend their intake appointment tended to have Medicaid insurance, be younger than 48 years, and have A1C > 8.1. Within the Medicare or private insurance groups, those who did not attend were more likely to be female, of Black race and not partnered. Older males with a lower A1C (≤8.3%) had the lowest rate (34.0%) of failing to complete their DSMES plan. The data showed that almost half of those referred were not successfully contacted. The overall low completion rate of 13.2% confirms the need to examine factors predictive of participation and completion. This study highlights process improvement changes to improve personalization of outreach and engagement.
format article
author Denise White Perkins
Pam Milan
Kimberly Miazek
Suzanne Havstad
Ganesa Wegienka
author_facet Denise White Perkins
Pam Milan
Kimberly Miazek
Suzanne Havstad
Ganesa Wegienka
author_sort Denise White Perkins
title Identifying factors affecting diabetes education program participation within a metro Detroit integrated health system
title_short Identifying factors affecting diabetes education program participation within a metro Detroit integrated health system
title_full Identifying factors affecting diabetes education program participation within a metro Detroit integrated health system
title_fullStr Identifying factors affecting diabetes education program participation within a metro Detroit integrated health system
title_full_unstemmed Identifying factors affecting diabetes education program participation within a metro Detroit integrated health system
title_sort identifying factors affecting diabetes education program participation within a metro detroit integrated health system
publisher Elsevier
publishDate 2021
url https://doaj.org/article/bdbe2600a112401580dff0c7adae9d6f
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