Prevalence and characteristics of complaint-prone doctors in private practice in Victoria

Med J Aust. 2011 Jul 4;195(1):25-8. doi: 10.5694/j.1326-5377.2011.tb03183.x.

Abstract

Objective: To identify characteristics of doctors who are repeated subjects of complaints by patients.

Design and setting: Case-control study of doctors about whom patients had complained to the Victorian Health Services Commissioner between 1 January 2000 and 31 December 2009.

Participants: 384 doctors in private practice; cases comprised 96 doctors who were the subject of four or more separate complaints; and the control group comprised 288 doctors who were the subject of a single complaint over the study period.

Results: Among doctors in private practice in Victoria, 20.5% (95% CI, 19.7%-21.3%) experienced at least one complaint over the decade. Among doctors who were the subject of a complaint, 4.5% (95% CI, 3.6%-5.4%) had four or more complaints, and this group accounted for 17.6% (95% CI, 16.3%-19.0%) of all complaints to the Victorian Health Services Commissioner. Multivariate analyses showed that surgeons (odds ratio [OR], 8.90; 95% CI, 3.69-21.50) and psychiatrists (OR, 4.59; 95% CI, 1.46-14.43) had higher odds of being in the complaint-prone group than general practitioners. Doctors trained overseas had lower odds of being complaint-prone than those trained in Australia (OR, 0.31; 95% CI, 0.13-0.72).

Conclusions: A small group of doctors in private practice in Victoria account for nearly 18% of complaints. Interventions to improve patient satisfaction and public confidence in health services should target complaint-prone subgroups of practitioners.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Advisory Committees
  • Case-Control Studies
  • Health Care Surveys
  • Humans
  • Patient Satisfaction / statistics & numerical data*
  • Physicians / statistics & numerical data*
  • Prevalence
  • Private Practice / statistics & numerical data*
  • Quality Assurance, Health Care / standards*
  • Statistics, Nonparametric
  • Victoria / epidemiology