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Meta-Analysis
. 2020 Oct;55(5):741-772.
doi: 10.1111/1475-6773.13326. Epub 2020 Jul 27.

Systematic review and meta-analysis of patient race/ethnicity, socioeconomics, and quality for adult type 2 diabetes

Affiliations
Meta-Analysis

Systematic review and meta-analysis of patient race/ethnicity, socioeconomics, and quality for adult type 2 diabetes

Woolton Lee et al. Health Serv Res. 2020 Oct.

Abstract

Objective: To review the evidence of the association between performance in eight indicators of diabetes care and a patient's race/ethnicity and socioeconomic characteristics.

Data source: Studies of adult patients with type 2 diabetes in MEDLINE published between January 1, 2000, and December 31, 2018.

Study design: Systematic review and meta-analysis of regression-based studies including race/ethnicity and income or education as explanatory variables. Meta-analysis was used to quantify differences in performance associated with patient race/ethnicity or socioeconomic characteristics. The systematic review was used to identify potential mechanisms of disparities.

Data collection: Two coauthors separately conducted abstract screening, study exclusions, data extraction, and scoring of retained studies. Estimates in retained studies were extracted and, where applicable, were standardized and converted to odds ratios and standard errors.

Principal findings: Performance in intermediate outcomes and process measures frequently exhibited differences by race/ethnicity even after adjustment for socioeconomic, lifestyle, and health factors. Meta-analyses showed black patients had lower odds of HbA1c and blood pressure (BP) control (OR range: 0.67-0.68, P < .05) but higher odds of receiving eye or foot examination (OR range: 1.22-1.47, P < .05) relative to white patients. A high school degree or more was associated with higher odds of HbA1c control and receipt of eye examinations compared to patients without a degree. Meta-analyses of income included a handful of studies and were inconsistently associated with diabetes care performance. Differences in diabetes performance appear to be related to access-related factors such as uninsurance or lacking a usual source of care; food insecurity and trade-offs at very low incomes; and lower adherence among younger and healthier diabetes patients.

Conclusions: Patient race/ethnicity and education were associated with differences in diabetes quality measures. Depending on the approach used to rate providers, not adjusting for these patient characteristics may penalize or reward providers based on the populations they serve.

Keywords: chronic disease; determinants of health; payment systems; quality of care/patient safety (measurement); racial/ethnic differences in health and health care; social determinants of health; systematic reviews/meta-analyses.

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Figures

Figure 1
Figure 1
PRISMA flowchart of articles identified and retained for the systematic review and meta‐analysis [Colour figure can be viewed at wileyonlinelibrary.com]
Figure 2
Figure 2
Forest plots for meta‐analyses of select diabetes care measures for Hispanic and black diabetes patients[Colour figure can be viewed at wileyonlinelibrary.com]

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