Young Ho Kim|Taegyu Kim|Joseph Conigliaro|Jane M. Liebschutz|Michael K. Paasche?Orlow|Amresh Hanchate
Racial and Ethnic Disparities in Diagnosis of Chronic Medical Conditions in the USA
Donald & Barbara Zucker School of Medicine at Hofstra/Northwell|Massachusetts General Hospital|Donald & Barbara Zucker School of Medicine at Hofstra/Northwell|University of Pittsburgh|Boston University|Boston University
exist racial ethnic disparities prevalence chronic medical illnesses however unclear disparities arise patients selfreported estimates diseases whether association healthcare utilization diagnosis estimate national racialethnic prevalence undiagnosed hypertension diabetes high cholesterol kidney disease identify characteristics associated undiagnosed diseases retrospective analysis multiyear survey data adults 18 years older participated national health nutrition examination survey 20112014 n 10403 undiagnosed hypertension sbp 140 dbp 90 physical examination history hypertension undiagnosed diabetes hgba1c 65 history diabetes undiagnosed high cholesterol ldl 160 mgdl history high cholesterol undiagnosed kidney disease egfr 30 history kidney disease study sample categorized whites blacks hispanics asians adjusting sociodemographic characteristics asians increased odds undiagnosed hypertension 141 106186 diabetes 616 3761008 compared whites blacks 253 171373 hispanics 188 119299 increased odds undiagnosed diabetes compared whites multivariate logistic regression analysis indicated health insurance associated increased odds undiagnosed diabetes hyperlipidemia 156 100244 208 144300 respectively recent healthcare visit associated lower likelihood undiagnosed hypertension 058 041083 diabetes 035 018069 nationally representative cohort asians higher rates undiagnosed hypertension diabetes minorities likely undiagnosed diabetes compared whites healthcare utilization associated undiagnosed medical conditions study showed reliance selfreported data may systemically underestimate prevalence chronic illnesses among minorities research needed understand significance healthcare utilization health outcomes