Literature DB >> 7574937

The need for accurate risk-adjusted measures of outcome in surgery. Lessons learned through coronary artery bypass.

B P Griffith1, B G Hattler, R L Hardesty, R L Kormos, S M Pham, H T Bahnson.   

Abstract

OBJECTIVE: The authors review the Pennsylvania Health Care Cost Containment Council reports on coronary artery surgery and compare this reporting structure to others, including the Society for Thoracic Surgeons database, currently used by their own program. The authors review the growing likelihood of a need for outcome measures for all of the surgical subspecialties. SUMMARY AND BACKGROUND DATA: Pressure from consumers and insurers will require surgical specialties to be graded by objective outcome measures. Practitioners must be prepared and become involved in the process.
METHODS: The authors reviewed the data, which grades all of Pennsylvania's hospitals at which coronary artery bypass is performed. Apparently, the major risk factors commonly employed in most other risk adjustment schemes for cardiac surgery have been deleted, and the practitioners might be judged unfairly. The Pennsylvania system appears to be insurance driven to reward low-cost providers who operate on patients with the lowest risk.
RESULTS: Review of data suggests that the Pennsylvania Health Care Cost Containment Council's annual publication, A Consumer's Guide for Coronary Artery Bypass Surgery, misrepresents fair risk adjustment in favor of lower-risk patients, thereby encouraging better score cards for those institutions with patients who are less ill. Data regarding charges for the procedure have not been risk adjusted or related to a regional economic index.
CONCLUSIONS: Surgeons must prepare to better understand relevant models that evaluate outcome. Cardiothoracic surgery is one of the first specialties to feel the pressures of mandated evaluations, and the lessons learned in Pennsylvania should be applicable to other states and their practitioners.

Entities:  

Mesh:

Year:  1995        PMID: 7574937      PMCID: PMC1234896          DOI: 10.1097/00000658-199510000-00015

Source DB:  PubMed          Journal:  Ann Surg        ISSN: 0003-4932            Impact factor:   12.969


  13 in total

1.  Biased estimates of expected acute myocardial infarction mortality using MedisGroups admission severity groups.

Authors:  M S Blumberg
Journal:  JAMA       Date:  1991-06-12       Impact factor: 56.272

2.  A quality assurance model of operative mortality in coronary artery surgery.

Authors:  F H Edwards; R A Albus; R Zajtchuk; G M Graeber; M Barry
Journal:  Ann Thorac Surg       Date:  1989-05       Impact factor: 4.330

3.  Assessment and accountability: the third revolution in medical care.

Authors:  A S Relman
Journal:  N Engl J Med       Date:  1988-11-03       Impact factor: 91.245

4.  A clinical assessment of MedisGroups.

Authors:  L I Iezzoni; M A Moskowitz
Journal:  JAMA       Date:  1988-12-02       Impact factor: 56.272

5.  Quality control for cardiac surgery in the Veterans Administration.

Authors:  T Takaro; J L Ankeney; R C Laning; P N Peduzzi
Journal:  Ann Thorac Surg       Date:  1986-07       Impact factor: 4.330

6.  The theorem of Bayes as a clinical research tool.

Authors:  F H Edwards; G M Graeber
Journal:  Surg Gynecol Obstet       Date:  1987-08

7.  How a New York cardiac surgery program uses outcomes data.

Authors:  S W Dziuban; J B McIlduff; S J Miller; R H Dal Col
Journal:  Ann Thorac Surg       Date:  1994-12       Impact factor: 4.330

8.  The Veterans Affairs Continuous Improvement in Cardiac Surgery Study.

Authors:  F L Grover; R R Johnson; A L Shroyer; G Marshall; K E Hammermeister
Journal:  Ann Thorac Surg       Date:  1994-12       Impact factor: 4.330

9.  Coronary artery bypass grafting: the Society of Thoracic Surgeons National Database experience.

Authors:  F H Edwards; R E Clark; M Schwartz
Journal:  Ann Thorac Surg       Date:  1994-01       Impact factor: 4.330

10.  Risk stratification using the Society of Thoracic Surgeons Program.

Authors:  B G Hattler; C Madia; C Johnson; J M Armitage; R L Hardesty; R L Kormos; S M Pham; D N Payne; B P Griffith
Journal:  Ann Thorac Surg       Date:  1994-11       Impact factor: 4.330

View more
  4 in total

1.  Predicted risk of mortality models: surgeons need to understand limitations of the University HealthSystem Consortium models.

Authors:  Benjamin D Kozower; Gorav Ailawadi; David R Jones; Robert D Pates; Christine L Lau; Irving L Kron; George J Stukenborg
Journal:  J Am Coll Surg       Date:  2009-11       Impact factor: 6.113

Review 2.  Risk assessment methods for cardiac surgery and intervention.

Authors:  Nassir M Thalji; Rakesh M Suri; Kevin L Greason; Hartzell V Schaff
Journal:  Nat Rev Cardiol       Date:  2014-09-23       Impact factor: 32.419

3.  The National Surgical Quality Improvement Program in non-veterans administration hospitals: initial demonstration of feasibility.

Authors:  Aaron S Fink; Darrell A Campbell; Robert M Mentzer; William G Henderson; Jennifer Daley; Janet Bannister; Kwan Hur; Shukri F Khuri
Journal:  Ann Surg       Date:  2002-09       Impact factor: 12.969

Review 4.  Risk Stratification for Transcatheter Aortic Valve Replacement.

Authors:  Abdul Ahad Khan; Ghulam Murtaza; Muhammad F Khalid; Furqan Khattak
Journal:  Cardiol Res       Date:  2019-11-24
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.