Skip to main content
. 2015 Aug 13;13:172. doi: 10.1186/s12916-015-0413-5

Table 1.

Characteristics of eligible studies

First author, year (country) Study design Description of study population Years data collected Data source Outcomes assessed Statistical test
Alam et al. [13], 2013 (Canada) Cohort Anaesthetists of all grades 2000–2011 Medical regulatory authority (College of Physicians and Surgeons) Disciplinary action Proportion
Alam et al. [14], 2011 (Canada) Cohort Doctors of all specialties and grades 2002–2009 Medical regulatory authority (College of Physicians and Surgeons) Disciplinary action Proportion
Balch et al. [23], 2011 (USA) Cross-sectional Surgeons of all grades 2010 Electronic questionnaire Malpractice suit in last 2 years χ2 P <0.01
Baldwin et al. [24], 1991 (USA) Cohort General practitioners and obstetricians of all grades 1982–1988 Insurance company Malpractice experience χ2 P >0.05
Birkeland et al. [15], 2013 (Denmark) Cohort General practitioners; grades of doctors not stated 2007 Medical regulatory authority (Complaint handling authority) Disciplinary action Multivariate analysis adjusted for complaint motives, patient characteristics, GP characteristics
Bismark et al. [38], 2013 (Australia) Cohort All specialties of all grades 2000–2011 Health Service Commissions Patient complaints Proportion
Cardarelli et al. [16], 2004 (USA) Case–control All specialties of all grades 1989–1998 Medical regulatory authority (State Board of Medical Examiners) Disciplinary action Multivariate analysis adjusted for years in practice, ethnicity, international education, specialty, method of licensure
Chauhan et al. [25], 2005 (USA) Cross-sectional Obstetricians and gynaecologists, excluded residents Not reported Postal questionnaire Malpractice claim Multivariate analysis adjusted for age, ethnicity, years in practice, no subspecialty
Clay et al. [17], 2003 (USA) Case–control Majority of specialties a of all grades 1997–1999 Medical regulatory authority (State Medical Board) Disciplinary action Univariate analysis with controls matched on location
Donaldson et al. [39], 2014 (England) Cohort All specialties of all grades 2001–2012 National Clinical Assessment Service Referral to National Clinical Assessment Service Univariate analysis
Elkin et al. [18], 2011 (Australia & New Zealand) Cohort All specialties of all grades 2000–2009 Written determinations Disciplinary action Rate
Ely et al. [26], 1999 (USA) Cohort General practitioners, excluding doctors who were unlicensed or recently licensed 1971–1994 Insurance company Malpractice claims Univariate and multivariate analysis adjusted for international education, board certification, physician’s recognition award, practice location
Goldenbaum et al. [36], 2008 (USA) Cohort All specialties of all grades 1998–2006 Online and published sources and databases Criminal and administrative cases involving controlled substances χ2 P <0.001
Hickson et al. [27], 2002 (USA) Cohort Majority of specialties b excluding residents 1992–1998 Patient Advocates Office and Office of Insurance and Risk Management Malpractice (at least one lawsuit) χ2 P <0.001
Khaliq et al. [19], 2005 (USA) Cohort All specialties of all grades 2001 Medical regulatory authority (State Medical Board) Disciplinary action Univariate and multivariate analysis adjusted for ethnicity, board certification, international education, specialty
Kohatsu et al. [6], 2004 (USA) Case–control All specialties of all grades 1998–2001 Medical regulatory authority (State Medical Board) and American Medical Association e-Physician Profiles system Disciplinary action Univariate and multivariate analysis adjusted for age, board certification, international education, specialty
Morrison et al. [7], 1998 (USA) Case–control All specialties of all grades 1995–1997 Medical regulatory authority (State Medical Board) and Directory of Physicians in the United States Disciplinary action Univariate analysis
Nash et al. [35], 2009 (Australia) Cross-sectional All specialties of all grades 2007 Postal questionnaire Medico-legal matter Univariate and multivariate analysis adjusted for age, marital status, specialty, international education, solo practice, hours worked per week, peer review in past 12 months, CME requirements, teaching role, AUDIT score, GHQ score
Nash et al. [34], 2009 (Australia) Cross-sectional General practitioners; grades of doctors not stated 2006 Postal questionnaire and insurance company Medico-legal matter χ2 P <0.001
Pande et al. [37], 2013 (USA) Cohort All specialties of all grades 2000–2011 Office of the Inspector General of the US Department of Health and Human Services Criminal case (convicted of Medicare and Medicaid fraud) Proportion
Papadakis et al. [8], 2004 (USA) Case–control All specialties of all grades 1990–2000 Medical regulatory authority (State Medical Board) Disciplinary action Univariate and multivariate analysis adjusted for undergraduate GPA, MCAT score, did not pass medical school course, professionalism severity ranking
Papadakis et al. [9], 2005 (USA) Case–control All specialties of all grades 2990–2003 Medical regulatory authorities (Federation of State Medical Boards) Disciplinary action Univariate and multivariate analysis adjusted for MCAT score, number of medical school courses not passed, unprofessional behaviour in medical school
Papadakis et al. [20], 2008 (USA) Cohort Internal medicine residents 2000–2006 American Board of Internal Medicine Disciplinary action Univariate and multivariate analysis adjusted for performance during residency, international education, no subspecialty certification
St George [32], 2003 (New Zealand) Cohort All specialties of all grades 1996–2002 Medical regulatory authority (Medical Council) Referral to medical regulatory body Proportion
Tamblyn et al. [33], 2007 (Canada) Cohort All specialties of all grades 1993–1996 Medical regulatory authorities Referral to medical regulatory body Univariate and multivariate analysis adjusted for examination score, international education, specialty, practice location
Taragin et al. [28], 1992 (USA) Cohort All specialties, excluding <2 years of observations 1977–1987 Insurance company Malpractice claims Multivariate analysis adjusted for medical degree type, international education, board certification
Unwin et al. [5], 2014 (UK) Cross-sectional All specialties of all grades 2013 Medical regulatory authority (Medical Council) Disciplinary action Univariate and multivariate analysis adjusted for years since qualification, international education, specialty
Wakeford [21], 2011 (UK) Cross-sectional All specialties of all grades 2011 Medical regulatory authority (Medical Council) Disciplinary action χ2 P <0.001
Weisman et al. [29], 1988 (USA) Cross-sectional Obstetricians and gynaecologists excluding residents 1984 Postal questionnaire and telephone survey Malpractice litigation Multivariate analysis adjusted for practice type and location, years since residency, board certification, work type, patient demographics, international education
Weycker et al. [30], 2000 (USA) Cohort All specialties of all grades 1980–1989 Insurance company and American Medical Association Physician Masterfiles Malpractice claims Multivariate analysis adjusted for prior claims, educational characteristics, demographic characteristics, practice characteristics
Wu et al. [31], 2009 (Taiwan) Cross-sectional All specialties of all grades 1991and 2005 Postal questionnaire Malpractice claims Multivariate analysis adjusted for age, specialty
Yates et al. [22], 2010 (UK) Case–control All specialties of all grades 1999–2004 Medical regulatory authority (Medical Council) Disciplinary action Univariate and multivariate analysis adjusted for social class, failed exams in early/preclinical course

a Excluded dermatologists and physical medicine doctors

b Excluded pathologists, radiologists, anaesthesiologists, emergency medicine doctors, and those doctors in administrative and research positions