Literature DB >> 7475420

Physicians' response to length-of-stay profiling.

J H Evans1, Y Hwang, N Nagarajan.   

Abstract

One of the techniques adopted recently by certain hospitals to meet the competitive pressure for reducing costs is physician profiling. Profiling produces periodic reports that compare a physician's resource consumption to a benchmark figure. This study analyzes the effectiveness and implications of one hospital's introduction of physician patient length-of-stay profiling. Data for 24,000 patients treated by 400 physicians in 450 diagnosis-related groups over 42 months were analyzed, including both preprofiling and postprofiling periods. Statistical tests examined whether more physicians achieved the length-of-stay benchmark after profiling was introduced, controlling for physician, disease category (diagnosis-related group), and patient severity level. First, the results establish a significant increase in the percentage of physicians who achieve the length-of-stay benchmark after the introduction of profiling. Second, it was found that physicians who had initially failed to meet the benchmark reduced their patients' average length of stay much more than those physicians who initially achieved the benchmark. Further, reductions occurred primarily at intermediate severity levels, and in diagnosis-related groups with a large economic impact for the hospital. Although the profiling program did achieve the objective of reducing patient length of stay, further improvement may be possible. First, providing different benchmarks or targets for different physicians may extend the improvement to a greater percentage of all physicians involved. Second, an analysis of monthly data on total weighted procedures reveals that the reduction in length of stay resulted in an increase in the number of procedures performed per patient day. This finding suggests that to achieve a reduction in hospital costs and charges, profiling programs should be combined with process improvement initiatives.

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Year:  1995        PMID: 7475420     DOI: 10.1097/00005650-199511000-00004

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  8 in total

1.  A physician-centred intervention to shorten hospital stay: a pilot study.

Authors:  J C Setrakian; K M Flegel; T A Hutchinson; S Charest; L Côté; M D Edwardes; I B Corbett
Journal:  CMAJ       Date:  1999-06-15       Impact factor: 8.262

2.  Whom should we profile? Examining diabetes care practice variation among primary care providers, provider groups, and health care facilities.

Authors:  Sarah L Krein; Timothy P Hofer; Eve A Kerr; Rodney A Hayward
Journal:  Health Serv Res       Date:  2002-10       Impact factor: 3.402

3.  Risk factors for prolonged length of stay after major elective surgery.

Authors:  T C Collins; J Daley; W H Henderson; S F Khuri
Journal:  Ann Surg       Date:  1999-08       Impact factor: 12.969

4.  The use of patient mix-adjusted control charts to compare in-hospital costs of care.

Authors:  E L Eisenstein; C F Bethea
Journal:  Health Care Manag Sci       Date:  1999-12

5.  Multi-stage methodology to detect health insurance claim fraud.

Authors:  Marina Evrim Johnson; Nagen Nagarur
Journal:  Health Care Manag Sci       Date:  2015-01-20

6.  Variation in hospital length of stay: do physicians adapt their length of stay decisions to what is usual in the hospital where they work?

Authors:  Judith D de Jong; Gert P Westert; Ronald Lagoe; Peter P Groenewegen
Journal:  Health Serv Res       Date:  2006-04       Impact factor: 3.402

7.  Profiling hospitals for length of stay for treatment of psychiatric disorders.

Authors:  Jeffrey S Harman; Brian J Cuffel; Kelly J Kelleher
Journal:  J Behav Health Serv Res       Date:  2004 Jan-Mar       Impact factor: 1.505

8.  What effect does physician "profiling" have on inpatient physician satisfaction and hospital length of stay?

Authors:  Judith K Zemencuk; Timothy P Hofer; Rodney A Hayward; Richard H Moseley; Sanjay Saint
Journal:  BMC Health Serv Res       Date:  2006-04-04       Impact factor: 2.655

  8 in total

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