Literature DB >> 8576771

Physician malpractice: does the past predict the future?

M I Taragin1, K Martin, S Shapiro, R Trout, J L Carson.   

Abstract

OBJECTIVE: To assess whether there is a population of physicians who have consistently poor malpractice claims experiences over time.
DESIGN: Retrospective cohort study. POPULATION: 12,730 physicians insured in New Jersey from 1977 to 1991. MAIN OUTCOME MEASURES: After adjusting for specialty, the physicians were grouped according to who had the highest, very high, and high rates of malpractice claims, approximating 1%, 5%, and 10% respectively, of the insured population. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated comparing the physicians in these high-risk categories with the other physicians.
RESULTS: Of the 55 physicians who had the highest malpractice claims rates during the first four years, two (3.6%) were in the highest group during the subsequent three years (OR 2.8; 95% CI 0.7 to 10.8), five (9.1%) were in the very high group (OR 2.0; 95% CI 0.7 to 5.3), and 11 (20%) were in the high group (OR 2.3; 95% CI 1.1 to 4.6). Of the 260 physicians in the very high group during the first four years, 11 (4.2%) were in the highest group during the subsequent three years (OR 3.6; 95% CI 1.8 to 6.4), 26 (10.0%) were in the very high group (OR 2.3; 95% CI 1.5 to 3.6), and 46 (17.7%) were in the high group (OR 2.0; 95% CI 1.4 to 2.8). Of the 947 physicians in the high group during the first four years, 24 (2.5%) were in the highest group during the subsequent three years (OR 2.3; 95% CI 1.4 to 3.7), 62 (6.6%) were in the very high group (OR 1.5; 95% CI 1.1 to 1.9), and 118 (12.5%) were in the high group (OR 1.3; 95% CI 1.1 to 1.6). Similar results were found when using awards as the outcome.
CONCLUSIONS: Most physicians who have high malpractice rates during their first four years improve over time. Physicians who have high rates of malpractice during one period should not be subjected to disciplinary action. However, carefully evaluating physicians who consistently have high rates of malpractice during two periods may represent an effective strategy for identifying problem physicians.

Mesh:

Year:  1995        PMID: 8576771     DOI: 10.1007/bf02640364

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  12 in total

1.  Relation between malpractice claims and adverse events due to negligence. Results of the Harvard Medical Practice Study III.

Authors:  A R Localio; A G Lawthers; T A Brennan; N M Laird; L E Hebert; L M Peterson; J P Newhouse; P C Weiler; H H Hiatt
Journal:  N Engl J Med       Date:  1991-07-25       Impact factor: 91.245

2.  Medical litigation and the quality of care.

Authors:  N Black
Journal:  Lancet       Date:  1990-01-06       Impact factor: 79.321

3.  Medical malpractice experience of physicians. Predictable or haphazard?

Authors:  F A Sloan; P M Mergenhagen; W B Burfield; R R Bovbjerg; M Hassan
Journal:  JAMA       Date:  1989-12-15       Impact factor: 56.272

4.  The professional liability crisis. The 1986 Duke Private Sector Conference.

Authors:  J K Iglehart
Journal:  N Engl J Med       Date:  1986-10-23       Impact factor: 91.245

5.  A closer look at 1,137 liability cases closed.

Authors:  J K Harness
Journal:  Mich Med       Date:  1987-08

6.  Effects of the liability climate on the academic health center.

Authors:  D R Challoner; K E Kilpatrick; J L Dockery; J W Dwyer
Journal:  N Engl J Med       Date:  1988-12-15       Impact factor: 91.245

7.  Iatrogenic illness on a general medical service at a university hospital.

Authors:  K Steel; P M Gertman; C Crescenzi; J Anderson
Journal:  N Engl J Med       Date:  1981-03-12       Impact factor: 91.245

8.  The influence of standard of care and severity of injury on the resolution of medical malpractice claims.

Authors:  M I Taragin; L R Willett; A P Wilczek; R Trout; J L Carson
Journal:  Ann Intern Med       Date:  1992-11-01       Impact factor: 25.391

9.  Malpractice claims data as a quality improvement tool. II. Is targeting effective?

Authors:  J E Rolph; R L Kravitz; K McGuigan
Journal:  JAMA       Date:  1991-10-16       Impact factor: 56.272

10.  Physician demographics and the risk of medical malpractice.

Authors:  M I Taragin; A P Wilczek; M E Karns; R Trout; J L Carson
Journal:  Am J Med       Date:  1992-11       Impact factor: 4.965

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  2 in total

1.  Surgeon demographics and medical malpractice in adult reconstruction.

Authors:  Brian J McGrory; B Sonny Bal; Sally York; William Macaulay; David B McConnell
Journal:  Clin Orthop Relat Res       Date:  2008-11-07       Impact factor: 4.176

2.  Physician malpractice: does the past predict the future?

Authors:  S Fink; T K Chaudhuri
Journal:  J Gen Intern Med       Date:  1996-04       Impact factor: 5.128

  2 in total

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