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Estimating health care delivery system value for each US state and testing key associations

dc.contributor.authorDieleman, Joseph L
dc.contributor.authorKaldjian, Alexander S
dc.contributor.authorSahu, Maitreyi
dc.contributor.authorChen, Carina
dc.contributor.authorLiu, Angela
dc.contributor.authorChapin, Abby
dc.contributor.authorScott, Kirstin Woody
dc.contributor.authorAravkin, Aleksandr
dc.contributor.authorZheng, Peng
dc.contributor.authorMokdad, Ali
dc.contributor.authorMurray, Christopher JL
dc.contributor.authorSchulman, Kevin
dc.contributor.authorMilstein, Arnold
dc.date.accessioned2022-06-01T20:30:05Z
dc.date.available2023-07-01 16:30:02en
dc.date.available2022-06-01T20:30:05Z
dc.date.issued2022-06
dc.identifier.citationDieleman, Joseph L; Kaldjian, Alexander S; Sahu, Maitreyi; Chen, Carina; Liu, Angela; Chapin, Abby; Scott, Kirstin Woody; Aravkin, Aleksandr; Zheng, Peng; Mokdad, Ali; Murray, Christopher JL; Schulman, Kevin; Milstein, Arnold (2022). "Estimating health care delivery system value for each US state and testing key associations." Health Services Research 57(3): 557-567.
dc.identifier.issn0017-9124
dc.identifier.issn1475-6773
dc.identifier.urihttps://hdl.handle.net/2027.42/172832
dc.description.abstractObjectiveTo estimate health care systems’ value in treating major illnesses for each US state and identify system characteristics associated with value.Data sourcesAnnual 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.Study designUsing 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 methodsNot applicable.Principal findingsUS 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).ConclusionsSubstantial 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.
dc.publisherBlackwell Publishing Ltd
dc.publisherWiley Periodicals, Inc.
dc.subject.othercomparative health systems
dc.subject.otherstate health policies
dc.subject.otherhealth care costs
dc.titleEstimating health care delivery system value for each US state and testing key associations
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelPublic Health
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/172832/1/hesr13676_am.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/172832/2/hesr13676.pdf
dc.identifier.doi10.1111/1475-6773.13676
dc.identifier.sourceHealth Services Research
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dc.working.doiNOen
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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