Literature DB >> 11105413

Medical malpractice among physicians: who will be sued and who will pay?

D A Weycker1, G A Jensen.   

Abstract

This paper examines whether a physician's future claims of medical malpractice are predictable from information on the physician's recent claims history, training credentials, practice characteristics, and demographics. Data on the medical malpractice experience of 8,733 Michigan physicians between 1980 and 1989 is analyzed. We find strong evidence of repetition over time regarding who was sued and who paid claims. The worse a physician's malpractice litigation record during 1980-1984, the worse was his record during 1985-1989. Training credentials were also highly predictive of future malpractice experience. Physicians trained at lower ranked medical schools or who went through lower-ranked residency programs faced higher odds of developing adverse malpractice records, even after controlling for their previous litigation record. Growing internet access to information on these characteristics will help inform prospective patients if they wish to avoid physicians likely to be sued and likely to make payments in the future for malpractice.

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Year:  2000        PMID: 11105413     DOI: 10.1023/a:1019014028914

Source DB:  PubMed          Journal:  Health Care Manag Sci        ISSN: 1386-9620


  18 in total

1.  Is the malpractice data bank going public?

Authors:  M Pretzer
Journal:  Med Econ       Date:  1994-09-26

2.  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

3.  Physician-patient communication. A key to malpractice prevention.

Authors:  W Levinson
Journal:  JAMA       Date:  1994 Nov 23-30       Impact factor: 56.272

4.  Physician-patient communication. The relationship with malpractice claims among primary care physicians and surgeons.

Authors:  W Levinson; D L Roter; J P Mullooly; V T Dull; R M Frankel
Journal:  JAMA       Date:  1997-02-19       Impact factor: 56.272

5.  The effect of threshold amounts for reporting malpractice payments to the National Practitioner Data Bank: analysis using the closed claims data base of the Office of the Assistant Secretary of Defense (Health Affairs).

Authors:  E J Metter; R L Granville; M J Kussman
Journal:  Mil Med       Date:  1997-04       Impact factor: 1.437

6.  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

7.  Malpractice claims. Does the past predict the future?

Authors:  L E Smarr
Journal:  JAMA       Date:  1994-11-09       Impact factor: 56.272

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.  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

10.  Factors that prompted families to file medical malpractice claims following perinatal injuries.

Authors:  G B Hickson; E W Clayton; P B Githens; F A Sloan
Journal:  JAMA       Date:  1992-03-11       Impact factor: 56.272

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  6 in total

1.  Health and life insurance as an alternative to malpractice tort law.

Authors:  Walton Sumner
Journal:  BMC Health Serv Res       Date:  2010-06-02       Impact factor: 2.655

2.  The PRONE score: an algorithm for predicting doctors' risks of formal patient complaints using routinely collected administrative data.

Authors:  Matthew J Spittal; Marie M Bismark; David M Studdert
Journal:  BMJ Qual Saf       Date:  2015-04-08       Impact factor: 7.035

3.  Identification of practitioners at high risk of complaints to health profession regulators.

Authors:  Matthew J Spittal; Marie M Bismark; David M Studdert
Journal:  BMC Health Serv Res       Date:  2019-06-13       Impact factor: 2.655

4.  A Qualitative Analysis of Malpractice Litigation in Cardiology Using Case Summaries Through a National Legal Database Analysis.

Authors:  Richa Patel; Nicole Rynecki; Eric Eidelman; Spandana Maddukuri; Varun Ayyaswami; Manthan Patel; Raghav Gupta; Arpan V Prabhu; Jared Magnani
Journal:  Cureus       Date:  2019-07-28

Review 5.  Sex differences in medico-legal action against doctors: a systematic review and meta-analysis.

Authors:  Emily Unwin; Katherine Woolf; Clare Wadlow; Henry W W Potts; Jane Dacre
Journal:  BMC Med       Date:  2015-08-13       Impact factor: 8.775

6.  Identification of doctors at risk of recurrent complaints: a national study of healthcare complaints in Australia.

Authors:  Marie M Bismark; Matthew J Spittal; Lyle C Gurrin; Michael Ward; David M Studdert
Journal:  BMJ Qual Saf       Date:  2013-04-10       Impact factor: 7.035

  6 in total

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