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 dc212483 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 2022 Family Physicians Increasingly Deliver Care in Diverse Languages Go to Family Physicians Increasingly Deliver Care in Diverse Languages 2021 Revitalizing the U.S. Primary Care Infrastructure Go to Revitalizing the U.S. Primary Care Infrastructure 2025 Data Transformation to Advance AI/ML Research and Implementation in Primary Care Go to Data Transformation to Advance AI/ML Research and Implementation in Primary Care 2022 Implementing High-Quality Primary Care: To What End? Go to Implementing High-Quality Primary Care: To What End?
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 dc212483 Source Diabetes Care
ABFM Research Read all 2022 Family Physicians Increasingly Deliver Care in Diverse Languages Go to Family Physicians Increasingly Deliver Care in Diverse Languages 2021 Revitalizing the U.S. Primary Care Infrastructure Go to Revitalizing the U.S. Primary Care Infrastructure 2025 Data Transformation to Advance AI/ML Research and Implementation in Primary Care Go to Data Transformation to Advance AI/ML Research and Implementation in Primary Care 2022 Implementing High-Quality Primary Care: To What End? Go to Implementing High-Quality Primary Care: To What End?
2022 Family Physicians Increasingly Deliver Care in Diverse Languages Go to Family Physicians Increasingly Deliver Care in Diverse Languages
2021 Revitalizing the U.S. Primary Care Infrastructure Go to Revitalizing the U.S. Primary Care Infrastructure
2025 Data Transformation to Advance AI/ML Research and Implementation in Primary Care Go to Data Transformation to Advance AI/ML Research and Implementation in Primary Care
2022 Implementing High-Quality Primary Care: To What End? Go to Implementing High-Quality Primary Care: To What End?