Literature DB >> 8302344

Physician profiling. An analysis of inpatient practice patterns in Florida and Oregon.

H G Welch1, M E Miller, W P Welch.   

Abstract

BACKGROUND: Physician profiling is a method of cost control that focuses on patterns of care instead of on specific clinical decisions. It is one cost-control method that takes into account physicians' desire to curb the intrusion of administrative mechanisms into the clinical encounter. To provide a concrete example of profiling, we analyzed the inpatient practice patterns of physicians in Florida and Oregon.
METHODS: Data for 1991 from Medicare's National Claims History File were used to profile 12,720 attending physicians in Florida and 2589 in Oregon. For each attending physician, we determined the total relative value of all physicians' services delivered during each patient's hospital stay. Relative value was measured in relative-value units (RVUs), according to the resource-based relative-value scale used by Medicare in determining payments to physicians. The mean number of RVUs per admission was then adjusted for the physician's case mix according to the patients' assigned diagnosis-related groups. The influence of the physician's specialty and of selected types of services (such as imaging and endoscopy) was also examined.
RESULTS: Florida physicians used markedly more resources, on average, than their colleagues in Oregon (46 vs. 30 case-mix-adjusted RVUs per admission). The difference was apparent for all specialties and all types of service. To illustrate the profiling data potentially available to the medical staffs of individual hospitals, we examined specific data on individual attending physicians and for various types of service for three hospitals' staffs. Despite similar overall profiles that fell below the national mean, each staff had a different practice pattern and would require different efforts to improve efficiency.
CONCLUSIONS: In an effort to encourage further debate, we have described one method of physician profiling. Profiling data help identify and characterize differences in practice style to which individual physicians or hospital staffs can respond. Because profiling is not based on rigid rules, it is a cost-containment strategy that can easily accommodate legitimate exceptions; it is therefore preferable to methods in which the appropriateness of each clinical decision is judged separately.

Entities:  

Mesh:

Year:  1994        PMID: 8302344     DOI: 10.1056/NEJM199403033300906

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


  15 in total

1.  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

2.  Results from the National Sepsis Practice Survey: use of drotrecogin α (activated) and other therapeutic decisions.

Authors:  James M O'Brien; Scott K Aberegg; Naeem A Ali; Gregory B Diette; Stanley Lemeshow
Journal:  J Crit Care       Date:  2010-06-19       Impact factor: 3.425

3.  Managing care, incentives, and information: an exploratory look inside the "black box" of hospital efficiency.

Authors:  D Conrad; T Wickizer; C Maynard; T Klastorin; D Lessler; A Ross; N Soderstrom; S Sullivan; J Alexander; K Travis
Journal:  Health Serv Res       Date:  1996-08       Impact factor: 3.402

4.  Who's in charge here? Maximizing patient benefit and professional authority by physician limit setting.

Authors:  H G Welch; J L Bernat; R P Mogielnicki
Journal:  J Gen Intern Med       Date:  1994-08       Impact factor: 5.128

5.  Surgeons' economic profiles: can we get the "right" answers?

Authors:  Eric L Eisenstein; Charles F Bethea; Lawrence H Muhlbaier; Marie Davidian; Eric D Peterson; Judith A Stafford; Daniel B Mark
Journal:  J Med Syst       Date:  2005-04       Impact factor: 4.460

6.  Variations in the management of acute myocardial infarction. Importance of clinical measures of disease severity.

Authors:  W Du; A S Ash; D R Berlowitz; J S Schwartz; M A Moskowitz
Journal:  J Gen Intern Med       Date:  1996-06       Impact factor: 5.128

7.  Factors influencing the frequency of visits by hypertensive patients to primary care physicians in Winnipeg.

Authors:  N P Roos; K C Carrière; D Friesen
Journal:  CMAJ       Date:  1998-10-06       Impact factor: 8.262

8.  A statewide, population-based time-series analysis of the increasing frequency of nonoperative management of abdominal solid organ injury.

Authors:  R Rutledge; J P Hunt; C W Lentz; S M Fakhry; A A Meyer; C C Baker; G F Sheldon
Journal:  Ann Surg       Date:  1995-09       Impact factor: 12.969

9.  From physician to consumer: the effectiveness of strategies to manage health care utilization.

Authors:  Kathryn E Flynn; Maureen A Smith; Margaret K Davis
Journal:  Med Care Res Rev       Date:  2002-12       Impact factor: 3.929

10.  The effect of physician practice organization on efficient utilization of hospital resources.

Authors:  L R Burns; J A Chilingerian; D R Wholey
Journal:  Health Serv Res       Date:  1994-12       Impact factor: 3.402

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.