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Home Research Research Library Diabetes Screening and Monitoring Among Older Mexican-Origin Populations in the U.S Diabetes Screening and Monitoring Among Older Mexican-Origin Populations in the U.S 2022 Author(s) Datta, Roopradha, Lucas, Jennifer A, Marino, Miguel, Aceves, Benjamin, Ezekiel-Herrera, David, Vasquez Guzman, Cirila Estela, Giebultowicz, Sophia, Chung-Bridges, Katherine, Kaufmann, Jorge, Bazemore, Andrew W, and Heintzman, John D Topic(s) Role of Primary Care, and Achieving Health System Goals Keyword(s) Quality Of Care Volume Diabetes Care Source Diabetes Care OBJECTIVE: The purpose of the study is to examine diabetes screening and monitoring among Latino individuals as compared with non-Latino White individuals and to better understand how we can use neighborhood data to address diabetes care inequities. RESEARCH DESIGN AND METHODS: This is a retrospective observational study linked with neighborhood-level Latino subgroup data obtained from the American Community Survey. We used generalized estimating equation negative binomial and logistic regression models adjusted for patient-level covariates to compare annual rates of glycated hemoglobin (HbA1c) monitoring for those with diabetes and odds of HbA1c screening for those without diabetes by ethnicity and among Latinos living in neighborhoods with low (0.0-22.0%), medium (22.0-55.7%), and high (55.7-98.0%) population percent of Mexican origin. RESULTS: Latino individuals with diabetes had 18% higher rates of HbA1c testing than non-Latino White individuals with diabetes (adjusted rate ratio [aRR] 1.18 [95% CI 1.07-1.29]), and Latinos without diabetes had 25% higher odds of screening (adjusted odds ratio 1.25 [95% CI 1.15-1.36]) than non-Latino White individuals without diabetes. In the analyses in which neighborhood-level percent Mexican population was the main independent variable, all Latinos without diabetes had higher odds of HbA1c screening compared with non-Latino White individuals, yet only those living in low percent Mexican-origin neighborhoods had increased monitoring rates (aRR 1.31 [95% CI 1.15-1.49]). CONCLUSIONS: These findings reveal novel variation in health care utilization according to Latino subgroup neighborhood characteristics and could inform the delivery of diabetes care for a growing and increasingly diverse Latino patient population. Clinicians and researchers whose work focuses on diabetes care should take steps to improve equity in diabetes and prevent inequity in treatment. ABFM Research Read all 2024 Impact of response bias in three surveys on primary care providers’ experiences with electronic health records Go to Impact of response bias in three surveys on primary care providers’ experiences with electronic health records 2022 Informing Equity & Diversity in Primary Care Policy and Practice: Introducing a New Series of Policy Briefs, Commentaries, and Voices in JABFM Go to Informing Equity & Diversity in Primary Care Policy and Practice: Introducing a New Series of Policy Briefs, Commentaries, and Voices in JABFM 2025 Leveraging Large Language Models to Advance Certification, Physician Learning, and Diagnostic Excellence Go to Leveraging Large Language Models to Advance Certification, Physician Learning, and Diagnostic Excellence 2014 Methods for Performing Survival Curve Quality-of-Life Assessments Go to Methods for Performing Survival Curve Quality-of-Life Assessments
Author(s) Datta, Roopradha, Lucas, Jennifer A, Marino, Miguel, Aceves, Benjamin, Ezekiel-Herrera, David, Vasquez Guzman, Cirila Estela, Giebultowicz, Sophia, Chung-Bridges, Katherine, Kaufmann, Jorge, Bazemore, Andrew W, and Heintzman, John D Topic(s) Role of Primary Care, and Achieving Health System Goals Keyword(s) Quality Of Care Volume Diabetes Care Source Diabetes Care
ABFM Research Read all 2024 Impact of response bias in three surveys on primary care providers’ experiences with electronic health records Go to Impact of response bias in three surveys on primary care providers’ experiences with electronic health records 2022 Informing Equity & Diversity in Primary Care Policy and Practice: Introducing a New Series of Policy Briefs, Commentaries, and Voices in JABFM Go to Informing Equity & Diversity in Primary Care Policy and Practice: Introducing a New Series of Policy Briefs, Commentaries, and Voices in JABFM 2025 Leveraging Large Language Models to Advance Certification, Physician Learning, and Diagnostic Excellence Go to Leveraging Large Language Models to Advance Certification, Physician Learning, and Diagnostic Excellence 2014 Methods for Performing Survival Curve Quality-of-Life Assessments Go to Methods for Performing Survival Curve Quality-of-Life Assessments
2024 Impact of response bias in three surveys on primary care providers’ experiences with electronic health records Go to Impact of response bias in three surveys on primary care providers’ experiences with electronic health records
2022 Informing Equity & Diversity in Primary Care Policy and Practice: Introducing a New Series of Policy Briefs, Commentaries, and Voices in JABFM Go to Informing Equity & Diversity in Primary Care Policy and Practice: Introducing a New Series of Policy Briefs, Commentaries, and Voices in JABFM
2025 Leveraging Large Language Models to Advance Certification, Physician Learning, and Diagnostic Excellence Go to Leveraging Large Language Models to Advance Certification, Physician Learning, and Diagnostic Excellence
2014 Methods for Performing Survival Curve Quality-of-Life Assessments Go to Methods for Performing Survival Curve Quality-of-Life Assessments