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54 The Association of Patient Characteristics on Provider Referrals to a Health-system Based Diabetes Prevention Program in the Bronx, NY.

OBJECTIVES/GOALS: The Diabetes Prevention Program (DPP) has been shown to reduce diabetes risk by 58%. Men, particularly men of color, are underrepresented in DPP, while they experience higher diabetes-related morbidity. We examine whether race, ethnicity, and gender disparities in engagement are as...

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Autores principales: Stephenson-Hunter, Cara, Pachecho, Giovanni, Chambers, Earle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10129832/
http://dx.doi.org/10.1017/cts.2023.143
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author Stephenson-Hunter, Cara
Pachecho, Giovanni
Chambers, Earle
author_facet Stephenson-Hunter, Cara
Pachecho, Giovanni
Chambers, Earle
author_sort Stephenson-Hunter, Cara
collection PubMed
description OBJECTIVES/GOALS: The Diabetes Prevention Program (DPP) has been shown to reduce diabetes risk by 58%. Men, particularly men of color, are underrepresented in DPP, while they experience higher diabetes-related morbidity. We examine whether race, ethnicity, and gender disparities in engagement are associated with the risk of referral to DPP in primary care METHODS/STUDY POPULATION: Using electronic health record (EHR) from a large urban health system in the Bronx, NY, with an in-house DPP, we examined patient, visit, referral data for DPP-eligible, adult patients with a primary care visit between July 2015 and December 2017. Eligibility included: hemoglobin A1c between 5.7-6.4%; a body mass index (BMI)≥24 kg/m2 (≥22 if Asian); and having no prior diagnosis of diabetes. A total of 26987 patients were included in this study. We examined patient race, ethnicity, preferred language, visit and prescription history, and health payer, among other characteristics. SPSS was used for univariate and bivariate analyses to examine associations between patient characteristics and referral followed by a logistic regression to examine the multivariate association between predictors and referrals. RESULTS/ANTICIPATED RESULTS: Of all DPP-eligible patients, 49% were Hispanic/Latino, and 39% were non-Hispanic Black. Around one-third (34%) of all eligible patients were men. Among all eligible patients in the sample, only 10% were referred to DPP. There were significant differences in the proportion of eligible patients who were referred versus those who were not referred. Women were referred at more than twice the prevalence of men (8.26% to 2.41%), with Hispanic women being referred most frequently (3.59%), and non-Hispanic white men being referred least frequently (.07%) Ethnicity, race, sex, age, number of provider visits, and number of chronic conditions all impacted healthcare provider referral rates to DPP. The health system’s unique free-of-charge DPP likely influenced the lack of significance of patient health insurance. DISCUSSION/SIGNIFICANCE: Given the implementation of DPP at-scale there is an urgent need to understand the patient and systems-level factors that are associated with referring individuals in the DPP. By detecting characteristics of health systems and patients that warrant special attention, we can improve equitable access to evidence-based diabetes prevention.
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spelling pubmed-101298322023-04-26 54 The Association of Patient Characteristics on Provider Referrals to a Health-system Based Diabetes Prevention Program in the Bronx, NY. Stephenson-Hunter, Cara Pachecho, Giovanni Chambers, Earle J Clin Transl Sci Biostatistics, Epidemiology, and Research Design OBJECTIVES/GOALS: The Diabetes Prevention Program (DPP) has been shown to reduce diabetes risk by 58%. Men, particularly men of color, are underrepresented in DPP, while they experience higher diabetes-related morbidity. We examine whether race, ethnicity, and gender disparities in engagement are associated with the risk of referral to DPP in primary care METHODS/STUDY POPULATION: Using electronic health record (EHR) from a large urban health system in the Bronx, NY, with an in-house DPP, we examined patient, visit, referral data for DPP-eligible, adult patients with a primary care visit between July 2015 and December 2017. Eligibility included: hemoglobin A1c between 5.7-6.4%; a body mass index (BMI)≥24 kg/m2 (≥22 if Asian); and having no prior diagnosis of diabetes. A total of 26987 patients were included in this study. We examined patient race, ethnicity, preferred language, visit and prescription history, and health payer, among other characteristics. SPSS was used for univariate and bivariate analyses to examine associations between patient characteristics and referral followed by a logistic regression to examine the multivariate association between predictors and referrals. RESULTS/ANTICIPATED RESULTS: Of all DPP-eligible patients, 49% were Hispanic/Latino, and 39% were non-Hispanic Black. Around one-third (34%) of all eligible patients were men. Among all eligible patients in the sample, only 10% were referred to DPP. There were significant differences in the proportion of eligible patients who were referred versus those who were not referred. Women were referred at more than twice the prevalence of men (8.26% to 2.41%), with Hispanic women being referred most frequently (3.59%), and non-Hispanic white men being referred least frequently (.07%) Ethnicity, race, sex, age, number of provider visits, and number of chronic conditions all impacted healthcare provider referral rates to DPP. The health system’s unique free-of-charge DPP likely influenced the lack of significance of patient health insurance. DISCUSSION/SIGNIFICANCE: Given the implementation of DPP at-scale there is an urgent need to understand the patient and systems-level factors that are associated with referring individuals in the DPP. By detecting characteristics of health systems and patients that warrant special attention, we can improve equitable access to evidence-based diabetes prevention. Cambridge University Press 2023-04-24 /pmc/articles/PMC10129832/ http://dx.doi.org/10.1017/cts.2023.143 Text en © The Association for Clinical and Translational Science 2023 https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
spellingShingle Biostatistics, Epidemiology, and Research Design
Stephenson-Hunter, Cara
Pachecho, Giovanni
Chambers, Earle
54 The Association of Patient Characteristics on Provider Referrals to a Health-system Based Diabetes Prevention Program in the Bronx, NY.
title 54 The Association of Patient Characteristics on Provider Referrals to a Health-system Based Diabetes Prevention Program in the Bronx, NY.
title_full 54 The Association of Patient Characteristics on Provider Referrals to a Health-system Based Diabetes Prevention Program in the Bronx, NY.
title_fullStr 54 The Association of Patient Characteristics on Provider Referrals to a Health-system Based Diabetes Prevention Program in the Bronx, NY.
title_full_unstemmed 54 The Association of Patient Characteristics on Provider Referrals to a Health-system Based Diabetes Prevention Program in the Bronx, NY.
title_short 54 The Association of Patient Characteristics on Provider Referrals to a Health-system Based Diabetes Prevention Program in the Bronx, NY.
title_sort 54 the association of patient characteristics on provider referrals to a health-system based diabetes prevention program in the bronx, ny.
topic Biostatistics, Epidemiology, and Research Design
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10129832/
http://dx.doi.org/10.1017/cts.2023.143
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