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Adjusting the risk-adjustment

Accounting for variation between organisations in the responsiveness of their expenditure to need

Bibliographic Data

ID8018510
AuthorsSean Urwin (0000-0002-9084-8368, Manchester Academic Health Science Centre), Laura Anselmi (0000-0002-2499-7656, University of Manchester), Emmanouil Mentzakis (0000-0003-1761-209X, City, University of London), Yiu-Shing Lau (0000-0002-3915-4168, University of Manchester), Madeline Sutton (0000-0002-6635-2127, University of Manchester)
Year2024
Volume361
Pages117346-117346
Publication date2024-09-14
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSocial Science & Medicine (JOURNAL)
Journal identifiersISSN: 0277-9536 • E-ISSN: 1873-5347
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.socscimed.2024.117346
PMID39368405
OpenAlexW4402540500
LanguageEN
Citations received3
References cited22

There is concern that basing healthcare budgets on risk adjustment estimates derived from historical utilisation data may reinforce patterns of unmet need. We propose a method to avoid this, based on a measure of how closely local health organisations align resources to the needs of their populations. We refer to this measure as the 'responsiveness of expenditure to need' and estimate it using national person-level data on use of acute hospital and secondary mental health services in England. We find large variation in responsiveness in both services and show that higher expenditure responsiveness in mental health is associated with fewer suicides. We then re-estimate the national risk-adjustment model removing the data from the organisations with the lowest expenditure responsiveness to need. As expected, higher need individuals are estimated to have higher expenditure needs when less responsive organisations are removed from the estimation of the risk-adjustment. Removal of organisations with below-average responsiveness results in the neediest deciles of individuals having an extra £163 (7%) annual need for acute hospital care and an additional £79 (27%) annual need for mental health services. The application of this approach to risk adjustment would result in more resources being directed towards organisations serving higher-need populations

Business · Demographic economics · Economics · Public economics · Variation (astronomy · Global Health Care Issues · Health Systems, Economic Evaluations, Quality of Life · Healthcare Policy and Management · Accounting

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    Open Access•Tolib Mirzoev, Sumit Kane•BMJ Global Health•2017

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  • Can regional resource shares be based only on prevalence data? An empirical investigation of the proportionality assumption

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Unique citing works3
Citations per year3
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 3

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