Predicting healthcare expenditure by multimorbidity groups
Vicent Caballer-Tarazona,
Natividad Guadalajara-Olmeda and
David Vivas-Consuelo
Health Policy, 2019, vol. 123, issue 4, 427-434
Abstract:
This article has two main purposes. Firstly, to model the integrated healthcare expenditure for the entire population of a health district in Spain, according to multimorbidity, using Clinical Risk Groups (CRG). Secondly, to show how the predictive model is applied to the allocation of health budgets.
Keywords: Budget; Case-mix system; Health econometrics; Healthcare expenditure; Multimorbidity; Risk adjustment; Two-part models (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0168851019300259
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:hepoli:v:123:y:2019:i:4:p:427-434
DOI: 10.1016/j.healthpol.2019.02.002
Access Statistics for this article
Health Policy is currently edited by Katrien Kesteloot, Mia Defever and Irina Cleemput
More articles in Health Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu () and ().