Literature DB >> 16089112

The who, what, and why of risk adjustment: a technology on the cusp of adoption.

David Blumenthal1, Joel S Weissman, Melissa Wachterman, Evette Weil, Randall S Stafford, James M Perrin, Timothy G Ferris, Karen Kuhlthau, Rainu Kaushal, Lisa I Iezzoni.   

Abstract

Risk adjustment (RA) consists of a series of techniques that account for the health status of patients when predicting or explaining costs of health care for defined populations or for evaluating retrospectively the performance of providers who care for them. Although the federal government seems to have settled on an approach to RA for Medicare Advantage programs, adoption and implementation of RA techniques elsewhere have proceeded much more slowly than was anticipated. This article examines factors affecting the adoption and use of RA outside the Medicare program using case studies in six U.S. health care markets (Baltimore, Seattle, Denver, Cleveland, Phoenix, and Atlanta) as of 2001. We found that for purchasing decisions, RA was used exclusively by public agencies. In the private sector, use of risk adjustment was uncommon and scattered and assumed informal and unexpected forms. The most common private sector use of RA was by health plans, which occasionally employed RA in negotiations with purchasers or to allocate resources internally among providers. The article uses classic technology diffusion theory to explain the adoption and use of RA in these six markets and derives lessons for health policy generally and for the future of RA in particular. For health policy generally, the differing experiences of public and private actors with RA serve as markers of the divergent paths that public and private health care sectors are pursuing with respect to managed care and risk sharing. For the future of RA in particular, its history suggests the need for health service researchers to consider barriers to use adoption and new analytic technologies as they develop them.

Entities:  

Mesh:

Year:  2005        PMID: 16089112     DOI: 10.1215/03616878-30-3-453

Source DB:  PubMed          Journal:  J Health Polit Policy Law        ISSN: 0361-6878            Impact factor:   2.265


  6 in total

1.  Medicaid expenditures on psychotropic medications for children in the child welfare system.

Authors:  Ramesh Raghavan; Derek S Brown; Hope Thompson; Susan L Ettner; Lisa M Clements; Whitney Key
Journal:  J Child Adolesc Psychopharmacol       Date:  2012-04-26       Impact factor: 2.576

2.  Improving quality assessment through multilevel modeling: the case of nursing home compare.

Authors:  Greg Arling; Teresa Lewis; Robert L Kane; Christine Mueller; Shannon Flood
Journal:  Health Serv Res       Date:  2007-06       Impact factor: 3.402

3.  Uptake of electronic prescribing in community-based practices.

Authors:  Michael A Fischer; Christine Vogeli; Margaret R Stedman; Timothy G Ferris; Joel S Weissman
Journal:  J Gen Intern Med       Date:  2008-04       Impact factor: 5.128

4.  Development and validation of a risk-adjustment tool in acute asthma.

Authors:  Chu-Lin Tsai; Sunday Clark; Ashley F Sullivan; Carlos A Camargo
Journal:  Health Serv Res       Date:  2009-07-13       Impact factor: 3.402

5.  Using risk adjustment approaches in child welfare performance measurement: Applications and insights from health and mental health settings.

Authors:  Ramesh Raghavan
Journal:  Child Youth Serv Rev       Date:  2010-01-01

6.  Risk adjustment and public reporting on home health care.

Authors:  Christopher M Murtaugh; Timothy Peng; Hakan Aykan; Gil Maduro
Journal:  Health Care Financ Rev       Date:  2007
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.