Literature DB >> 3114635

Refining case-mix adjustment. The research evidence.

S F Jencks, A Dobson.   

Abstract

We review case-mix adjustment, which is the process of adjusting for differences in the cases treated in different hospitals so that their costs or outcomes can be compared. We examine the Medicare payment system, which rests on case-mix adjustment, and identify areas, including outlier payments, in which payment accuracy might be improved without better measurement of the severity of illness. There is no available measure of severity of illness that would produce a large improvement in the accuracy of Medicare payments if used to supplement or replace the system of diagnosis-related groups. Evidence regarding whether better measurement of severity would substantially change the distribution of payments across hospitals is mixed. Considerable evidence suggests that the intensity of medically appropriate treatment for patients in the same diagnosis-related group varies substantially for reasons other than the severity of illness. Despite great demand for measures of the quality of care, important technical problems must be solved before we can be confident that differences in case-mix-adjusted outcomes reflect differences in the quality of care.

Entities:  

Mesh:

Year:  1987        PMID: 3114635     DOI: 10.1056/NEJM198709103171106

Source DB:  PubMed          Journal:  N Engl J Med        ISSN: 0028-4793            Impact factor:   91.245


  17 in total

1.  Interhospital variations in admission severity-adjusted hospital mortality and morbidity.

Authors:  R C Bradbury; F E Stearns; P M Steen
Journal:  Health Serv Res       Date:  1991-10       Impact factor: 3.402

Review 2.  Measurement of severity of illness and the Medicare prospective payment system: state of the art and future directions.

Authors:  L F McMahon; J E Billi
Journal:  J Gen Intern Med       Date:  1988 Sep-Oct       Impact factor: 5.128

3.  Effect of the structure of hospital payment on length of stay.

Authors:  J R Lave; R G Frank
Journal:  Health Serv Res       Date:  1990-06       Impact factor: 3.402

4.  Do severity measures explain differences in length of hospital stay? The case of hip fracture.

Authors:  M Shwartz; L I Iezzoni; A S Ash; Y D Mackiernan
Journal:  Health Serv Res       Date:  1996-10       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.  Could distance be a proxy for severity-of-illness? A comparison of hospital costs in distant and local patients.

Authors:  H G Welch; E B Larson; W P Welch
Journal:  Health Serv Res       Date:  1993-10       Impact factor: 3.402

7.  Comparison of postoperative mortality in VA and private hospitals.

Authors:  J F Stremple; D S Bross; C L Davis; G O McDonald
Journal:  Ann Surg       Date:  1993-03       Impact factor: 12.969

8.  A study of the relationship between severity of illness and hospital cost in New Jersey hospitals.

Authors:  R F Averill; T E McGuire; B E Manning; D A Fowler; S D Horn; P S Dickson; M J Coye; D L Knowlton; J A Bender
Journal:  Health Serv Res       Date:  1992-12       Impact factor: 3.402

9.  Trauma case mix and hospital payment: the potential for refining DRGs.

Authors:  E J MacKenzie; D M Steinwachs; A I Ramzy; J W Ashworth; B Shankar
Journal:  Health Serv Res       Date:  1991-04       Impact factor: 3.402

10.  Relationship of physician ratings of severity of illness and difficulty of clinical management to length of stay.

Authors:  C Kelleher
Journal:  Health Serv Res       Date:  1993-02       Impact factor: 3.402

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.