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BibTeX
SPOILT FOR CHOICE: IMPLICATIONS OF USING ALTERNATIVE METHODS OF COSTING HOSPITAL EPISODE STATISTICS
Health economics, 2012-10, Vol.21 (10), p.1201-1216
Geue, Claudia
Lewsey, James
Lorgelly, Paula
Govan, Lindsay
Hart, Carole
Briggs, Andrew
2012
Volltextzugriff (PDF)
Details
Autor(en) / Beteiligte
Geue, Claudia
Lewsey, James
Lorgelly, Paula
Govan, Lindsay
Hart, Carole
Briggs, Andrew
Titel
SPOILT FOR CHOICE: IMPLICATIONS OF USING ALTERNATIVE METHODS OF COSTING HOSPITAL EPISODE STATISTICS
Ist Teil von
Health economics, 2012-10, Vol.21 (10), p.1201-1216
Ort / Verlag
Chichester, UK: John Wiley & Sons, Ltd
Erscheinungsjahr
2012
Quelle
Applied Social Sciences Index & Abstracts (ASSIA)
Beschreibungen/Notizen
SUMMARY In the absence of a ‘gold standard’ to estimate the economic burden of disease, a decision about the most appropriate costing method is required. Researchers have employed various methods to cost hospital stays, including per diem or diagnosis‐related group (DRG)‐based costs. Alternative methods differ in data collection and costing methodology. Using data from Scotland as an illustrative example, costing methods are compared, highlighting the wider implications for other countries with a publicly financed healthcare system. Five methods are compared using longitudinal data including baseline survey data (Midspan) linked to acute hospital admissions. Cost variables are derived using two forms of DRG‐type costs, costs per diem, costs per episode—using a novel approach that distinguishes between variable and fixed costs and incorporates individual length of stay (LOS), and costs per episode using national average LOS. Cost estimates are generated using generalised linear model regression. Descriptive analysis shows substantial variation between costing methods. Differences found in regression analyses highlight the magnitude of variation in cost estimates for subgroups of the sample population. This paper emphasises that any inference made from econometric modelling of costs, where the marginal effect of explanatory variables is assessed, is substantially influenced by the costing method. Copyright © 2011 John Wiley & Sons, Ltd.
Sprache
Englisch
Identifikatoren
ISSN: 1057-9230
eISSN: 1099-1050
DOI: 10.1002/hec.1785
Titel-ID: cdi_proquest_miscellaneous_1373491957
Format
–
Schlagworte
Age Factors
,
Aged
,
burden of disease
,
Cost estimates
,
Costing
,
Costs and Cost Analysis
,
Data Collection - methods
,
Diagnosis-Related Groups - economics
,
Econometrics
,
Female
,
Health care
,
health care expenditure
,
Health economics
,
Hospital Charges - statistics & numerical data
,
Hospital costs
,
Hospital Episode Statistics
,
Hospitalization - economics
,
Hospitals
,
Humans
,
Length of Stay - economics
,
Linear models
,
Longitudinal Studies
,
Magnitude
,
Male
,
Middle Aged
,
Models, Economic
,
Patient admissions
,
Regression Analysis
,
Scotland
,
Sex Factors
,
Socioeconomic Factors
,
Studies
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