Document Detail


Regression models for analyzing costs and their determinants in health care: an introductory review.
MedLine Citation:
PMID:  21504959     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
OBJECTIVE: This article aims to describe the various approaches in multivariable modelling of healthcare costs data and to synthesize the respective criticisms as proposed in the literature. METHODS: /st> We present regression methods suitable for the analysis of healthcare costs and then apply them to an experimental setting in cardiovascular treatment (COSTAMI study) and an observational setting in diabetes hospital care. RESULTS: /st> We show how methods can produce different results depending on the degree of matching between the underlying assumptions of each method and the specific characteristics of the healthcare problem. CONCLUSIONS: /st> The matching of healthcare cost models to the analytic objectives and characteristics of the data available to a study requires caution. The study results and interpretation can be heavily dependent on the choice of model with a real risk of spurious results and conclusions.
Authors:
Dario Gregori; Michele Petrinco; Simona Bo; Alessandro Desideri; Franco Merletti; Eva Pagano
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-4-19
Journal Detail:
Title:  International journal for quality in health care : journal of the International Society for Quality in Health Care / ISQua     Volume:  -     ISSN:  1464-3677     ISO Abbreviation:  -     Publication Date:  2011 Apr 
Date Detail:
Created Date:  2011-4-20     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9434628     Medline TA:  Int J Qual Health Care     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
1Laboratories of Epidemiological Methods and Biostatistics, Department of Environmental Medicine and Public Health, University of Padova, Padova, Italy.
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