Dataset Information

Changes in racial and ethnic disparities in glucose-lowering drug utilization and glycated haemoglobin A1c in US adults with diabetes: 2005-2018.

ABSTRACT:

Aim

To examine changes in racial and ethnic disparities in glucose-lowering drugs (GLD) use and glycated haemoglobin A1c in US adults with diabetes from 2005 to 2018.

Methods

We conducted pooled cross-sectional analysis using data from the 2005-2018 Medical Expenditure Panel Surveys, and the 2005-2018 National Health and Nutrition Examination Survey. Individuals ≥18 years with diabetes were included. Racial and ethnic disparities were measured in (a) newer non-insulin GLD use; (b) insulin analogue use; (c) non-insulin GLDs adherence; (d) insulin adherence; and (e) glucose management, along with (f) the proportion of the disparities explained by potential contributing factors.

Results

From 2005 to 2018, racial and ethnic disparities persisted in newer GLD use, non-insulin GLDs adherence, insulin analogue use and glucose management. In 2018, compared with non-Hispanic white adults, non-Hispanic black, Hispanic and other race/ethnicity groups had lower rates of using newer GLDs (adjusted risk ratio: 0.44, 0.52, 0.64, respectively; p < .05 for all) and insulin analogues (adjusted risk ratio: 0.93, 0.89, 0.95, respectively; p < .05 for all except other groups), lower non-insulin GLD adherence (proportion of days covered: -4.5%, -5.6%, -4.3%, respectively; p < .05 for all), higher glycated haemoglobin A1c (0.29%, 0.32%, 0.02%, respectively; p < .05 for all except other group), and similar insulin adherences. Socioeconomic and health status were the main contributors to these disparities.

Conclusions

Our findings provide evidence of racial and ethnic disparities in newer GLD use and quality of care in glucose management. Our study results can inform decision-makers of the status of racial and ethnic disparities and identify ways to reduce these disparities.

SUBMITTER: Li P

PROVIDER: S-EPMC9812896 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Changes in racial and ethnic disparities in glucose-lowering drug utilization and glycated haemoglobin A1c in US adults with diabetes: 2005-2018.

Li Piaopiao P Zhang Ping P Guan Dawei D Guo Jingchuan J Zhang Yongkang Y Pavkov Meda E ME Bullard Kai McKeever KM Shao Hui H

Diabetes, obesity & metabolism 20221102 2

<h4>Aim</h4>To examine changes in racial and ethnic disparities in glucose-lowering drugs (GLD) use and glycated haemoglobin A1c in US adults with diabetes from 2005 to 2018.<h4>Methods</h4>We conducted pooled cross-sectional analysis using data from the 2005-2018 Medical Expenditure Panel Surveys, and the 2005-2018 National Health and Nutrition Examination Survey. Individuals ≥18 years with diabetes were included. Racial and ethnic disparities were measured in (a) newer non-insulin GLD use; (b) ...[more]

PMID: 36251173

Similar Datasets

Project description:BackgroundTotal knee arthroplasty (TKA) is a common orthopaedic procedure, after which many patients benefit from physical therapy (PT). However, such services may not be uniformly accessible and used. To that end, disparities in access to care such as PT after interventions may be a factor for those of varying race/ethnicities.MethodsTKAs were abstracted from the 2014 to 2016 Standard Analytic Files PearlDiver data set-a large national health administrative data set containing information on more than 60 million Medicare patients. Occurrences of home or outpatient PT within 90 days after TKA were identified. Patient demographic factors were extracted, including age, sex, Elixhauser Comorbidity Index, estimated average household income of patient based on zip code (low average household income [<75k/year] or high average household income [>75k/year]), and patient race/ethnicity (White, Hispanic, Asian, Native American, Black, or Other). Predictive factors for PT utilization were determined and compared with univariate and multivariate analyses.ResultsOf 23,953 TKA patients identified, PT within 90 days after TKA was used by 18,837 (78.8%). Patients self-identified as White (21,824 [91.1%]), Black (1,250 [5.2%]), Hispanic (268 [1.1%]), Asian (241 [1.0%]), Native American (90 [0.4%]), or "Other" (280 [1.2%]) and were of low household income (19,957 [83.3%]) or high household income (3,994 [16.7%]). When controlling for age, sex, and ECI, PT was less likely to be received by those of low household income (relative to high household income OR 0.79) or by those of defined race/ethnicity (relative to White or Black OR 0.81, Native American OR 0.58, Asian OR 0.50, or Hispanic OR 0.44) ( P < 0.05 for each).DiscussionIn a large Medicare data set, disparities in utilization of PT after TKA were identified based on patient's estimated household income and race/ethnicity. Identification of such factors may help facilitate the expansion of care to meet the needs of all groups adequately.Level of evidenceLevel III.

Project description:Rationale & objectiveThe effects of race, ethnicity, socioeconomic status (SES), and disease severity on acute care utilization in patients with glomerular disease are unknown.Study designProspective cohort study.Setting & participants1,456 adults and 768 children with biopsy-proven glomerular disease enrolled in the Cure Glomerulonephropathy (CureGN) cohort.ExposureRace and ethnicity as a participant-reported social factor.OutcomeAcute care utilization defined as hospitalizations or emergency department visits.Analytical approachMultivariable recurrent event proportional rate models were used to estimate associations between race and ethnicity and acute care utilization.ResultsBlack or Hispanic participants had lower SES and more severe glomerular disease than White or Asian participants. Acute care utilization rates were 45.6, 29.5, 25.8, and 19.2 per 100 person-years in Black, Hispanic, White, and Asian adults, respectively, and 55.8, 42.5, 40.8, and 13.0, respectively, for children. Compared with the White race (reference group), Black race was significantly associated with acute care utilization in adults (rate ratio [RR], 1.76 [95% CI, 1.37-2.27]), although this finding was attenuated after multivariable adjustment (RR, 1.31 [95% CI, 1.03-1.68]). Black race was not significantly associated with acute care utilization in children; Asian race was significantly associated with lower acute care utilization in children (RR, 0.32 [95% CI 0.14-0.70]); no significant associations between Hispanic ethnicity and acute care utilization were identified.LimitationsWe used proxies for SES and lacked direct information on income, household unemployment, or disability.ConclusionsSignificant differences in acute care utilization rates were observed across racial and ethnic groups in persons with prevalent glomerular disease, although many of these difference were explained by differences in SES and disease severity. Measures to combat socioeconomic disadvantage in Black patients and to more effectively prevent and treat glomerular disease are needed to reduce disparities in acute care utilization, improve patient wellbeing, and reduce health care costs.

Project description:BackgroundPostpartum readmission is an important indicator of postpartum morbidity. The likelihood of postpartum readmission is highest for Black individuals. However, it is unclear whether the likelihood of postpartum readmission has changed over time according to race/ethnicity. Little is also known about the factors that contribute to these trends.ObjectiveThis study aimed to: (1) examine trends in postpartum readmission by race/ethnicity, (2) examine if prenatal or clinical factors explain the trends, and (3) investigate if racial/ethnic disparities changed over time.Study designWe examined trends in postpartum readmission, defined as hospitalization within 42 days after birth hospitalization discharge, using live birth and fetal death certificates linked to delivery discharge records from 10,711,289 births in California from 1997 to 2018. We used multivariable logistic regression models that included year and year-squared (to allow for nonlinear trends), overall and stratified by race/ethnicity, to estimate the annual change in postpartum readmission during the study period, represented by odds ratios and 95% confidence intervals. We then adjusted models for prenatal (eg, patient demographics) and clinical (eg, gestational age, mode of birth) factors. To determine whether racial/ethnic disparities changed over time, we calculated risk ratios for 1997 and 2018 by comparing the predicted probabilities from the race-specific, unadjusted logistic regression models.ResultsThe overall incidence of postpartum readmission was 10 per 1000 births (17.4/1000 births for non-Hispanic Black, 10/1000 for non-Hispanic White, 7.9/1000 for non-Hispanic Asian/Pacific Islander, and 9.6/1000 for Hispanic individuals). Odds of readmission increased for all groups during the study period; the increase was greatest for Black individuals (42% vs 21%-29% for the other groups). After adjustment for prenatal and clinical factors, the increase in odds was similar for Black and White individuals (12%). The disparity in postpartum readmission rates relative to White individuals increased for Black individuals (risk ratio, 1.68 in 1997 and 1.90 in 2018) and more modestly for Hispanic individuals (risk ratio, 1.02 in 1997 and 1.05 in 2018) during the study period. Asian/Pacific Islander individuals continued to have lower risk than White individuals during the study period (risk ratio, 0.87 in 1997 and 0.82 in 2018).ConclusionThe rate of postpartum readmissions increased from 1997 to 2018 in California across all racial/ethnic groups, with the greatest increase observed for Black individuals. Racial/ethnic differences in the trend were more modest after adjustment for prenatal and clinical factors. It is important to find ways to prevent further increases in postpartum readmission, especially among groups at highest risk.

Dataset Information

Changes in racial and ethnic disparities in glucose-lowering drug utilization and glycated haemoglobin A1c in US adults with diabetes: 2005-2018.

Aim

Methods

Results

Conclusions

Publications

Changes in racial and ethnic disparities in glucose-lowering drug utilization and glycated haemoglobin A1c in US adults with diabetes: 2005-2018.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets