Evaluating risk-adjustment methodologies for patients with mental health and substance abuse disorders in the veterans health administration
by Amy K. Rosen, Cindy L. Christiansen, Maria E. Montez, Susan Loveland, Priti Shokeen, Kevin L. Sloan, Susan L. Ettner
International Journal of Healthcare Technology and Management (IJHTM), Vol. 7, No. 1/2, 2006

Abstract: Although the difficulties in applying existing risk-adjustment measures to mental health populations are increasingly evident, the need for adequate risk-adjustment methodologies continues to increase due to the ongoing pressures of the need to constrain costs and allocate resources equitably across key population sub-groups. The performance of several risk-adjustment measures in predicting total healthcare costs and Mental Health/Substance abuse (MH/SA) costs was compared with a national sample of patients with MH/SA disorders receiving healthcare services in the Department of Veterans Affairs (VA). Differences in the performances of the models in predicting both total and MH/SA costs were small; mean absolute prediction errors and predictive ratios did not demonstrate any clear ranking of model performance. Inequitable allocation of resources may result when models that have been developed specifically for general patient populations are applied to unique populations with different healthcare needs.

Online publication date: Thu, 29-Sep-2005

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Healthcare Technology and Management (IJHTM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com