To estimate health care systems' value in treating major illnesses for each US state and identify system characteristics associated with value.
Annual condition-specific death and incidence estimates for each US state from the Global Burden Disease 2019 Study and annual health care spending per person for each state from the National Health Expenditure Accounts.
Using non-linear meta-stochastic frontier analysis, mortality incidence ratios for 136 major treatable illnesses were regressed separately on per capita health care spending and key covariates such as age, obesity, smoking, and educational attainment. State- and year-specific inefficiency estimates were extracted for each health condition and combined to create a single estimate of health care delivery system value for each US state for each year, 1991–2014. The association between changes in health care value and changes in 23 key health care system characteristics and state policies was measured.
Data collection/extraction methods
US state with relatively high spending per person or relatively poor health-outcomes were shown to have low health care delivery system value. New Jersey, Maryland, Florida, Arizona, and New York attained the highest value scores in 2014 (81 [95% uncertainty interval 72-88], 80 [72-87], 80 [71-86], 77 [69-84], and 77 [66-85], respectively), after controlling for health care spending, age, obesity, smoking, physical activity, race, and educational attainment. Greater market concentration of hospitals and of insurers were associated with worse health care value (p-value ranging from <0.01 to 0.02). Higher hospital geographic density and use were also associated with worse health care value (p-value ranging from 0.03 to 0.05). Enrollment in Medicare Advantage HMOs was associated with better value, as was more generous Medicaid income eligibility (p-value 0.04 and 0.01).
Substantial variation in the value of health care exists across states. Key health system characteristics such as market concentration and provider density were associated with value.
Dieleman JL. Kaldjian AS, Sahu M, Chen C, Liu A, Chapin A, Woody Scott K, Aravkin S, Zheng P, Mokdad A, Murray CJL, Schulman K, Milstein A. Estimating health care delivery system value for each US state and testing key associations. Health Services Research. 24 May 2021. doi: 10.1111/1475-6773.13676.