New approaches to reimbursement schemes based on patient classification systems and their comparison

Détails

ID Serval
serval:BIB_F2D8D7D5FC6B
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
New approaches to reimbursement schemes based on patient classification systems and their comparison
Périodique
Health Services Management Research
Auteur⸱e⸱s
Marazzi Alfio, Gardiol Lucien, Duong Hong Dung
ISSN
0951-4848
Statut éditorial
Publié
Date de publication
2007
Peer-reviewed
Oui
Volume
20
Numéro
3
Pages
203-210
Langue
anglais
Résumé
We propose reimbursement schemes based on patient classification systems (PCSs) that include adjustments for length of stay (LOS) and exceptional costs and are designed to minimize undesirable effects of economic incentives. In addition, a statistical approach to compare the schemes and the underlying PCSs is proposed, where costs and LOSs for two successive years are used. The first year data provides estimates of the class cost means and the next year's reimbursements which are compared with the second year's costs. This method focuses on the predictive power of a PCS and differs from the usual retrospective analyses based on the proportion of explained variance for single year data. The approach is applied to discharge data of Swiss hospitals where stays are grouped according to five PCSs: All Patient Diagnosis-Related Groups (AP-DRGs), All Patient Refined Diagnosis-Related Groups (APR-DRGs), International Refined Diagnosis-Related Groups (IR-DRGs), Australian Refined Diagnosis-Related Groups (AR-DRGs), and SQLape. When adjusting for LOS and outliers, these systems do not differ substantially in their ability to predict cost of stay. Therefore, increasing the number of classes does not necessarily improve cost predictions. However, the payment of a fixed amount per diem (not exceeding the marginal cost) and correcting the reimbursements for exceptional costs substantially reduces the average discrepancy between costs and reimbursements.
Mots-clé
Diagnosis-Related Groups , Hospital Charges , Hospital Costs , Inpatients , Prospective Payment System , Reimbursement, Incentive
Pubmed
Création de la notice
06/02/2008 10:09
Dernière modification de la notice
20/08/2019 17:20
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