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Trends in Racial/Ethnic Disparities in Early Glycemic Control Among Veterans Receiving Care in the Veterans Health Administration, 2008-2019

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posted on 2024-09-10, 19:59 authored by Simin Hua, Rania Kanchi, Rebecca Anthopolos, Mark D. Schwartz, Jay Pendse, Andrea R. Titus, Lorna E. Thorpe

Objective

Racial/ethnic disparities in glycemic control among Non-Hispanic Black (NHB) and Non-Hispanic White (NHW) veterans with type 2 diabetes (T2D) have been reported. This study examined trends in early glycemic control (EGC) by race/ethnicity to understand how disparities soon after T2D diagnosis have changed between 2008 and 2019 among cohorts of newly-diagnosed US veterans.

Research Design and Methods

We estimated annual percent of EGC (average A1c<7%) in the first 5 years post-diagnosis among 837,023 veterans (95% male) with newly-diagnosed T2D in primary care. We compared EGC by racial/ethnic group among cohorts defined by diagnosis year (2008-2010, 2011-2013, 2014-2016 and 2017-2018) using mixed effect models with random intercepts. We estimated odds ratios of EGC comparing racial/ethnic groups to NHW, adjusting for age, sex and years of diagnosis.

Results

The average annual percent of veterans who achieved EGC during follow-up was 73%, 72%, 72%, and 76% in four cohorts respectively. All racial/ethnic groups were less likely to achieve EGC compared to NHW veterans in the 2008-2010 cohort. In later cohorts, NHB and Hispanic veterans were more likely to achieve EGC; however, Hispanic veterans were also more likely to have A1c≥9% within 5 years in all cohorts. EGC disparities for Non-Hispanic Asian, Native Hawaiian/Pacific Islander, and American Indian/Alaska Native veterans persisted in cohorts until the 2017-2018 cohort.

Conclusions

Overall EGC trends among newly-diagnosed veterans have been stable since 2008, but trends differed by racial/ethnic groups and disparities in very poor control were still observed. Efforts should continue to minimize disparities between racial/ethnic groups.

Funding

Simin Hua was supported by the National Center for Advancing Translational Sciences (NCATS), National Institutes of Health, through Grant Award Number TL1TR001447. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. This study is the result of work supported with resources and patient data from Veterans Health Administration and VA New York Harbor Healthcare System. The views expressed in this article are those of the authors and do not necessarily reflect the position or policy of the Department of Veterans Affairs or the United States government.

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