Factors influencing the choice of specialty of Australian medical graduates

Med J Aust. 2005 Sep 19;183(6):295-300. doi: 10.5694/j.1326-5377.2005.tb07058.x.


Objective: To identify the relative importance of extrinsic determinants of doctors' choice of specialty.

Design: A self-administered postal questionnaire.

Setting: Australian vocational training programs.

Participants: 4259 Australian medical graduates registered in September 2002 with one of 16 Australian clinical colleges providing vocational training programs.

Main outcome measures: Choice of specialist vocational training program; extrinsic factors influencing choice of program, and variation by sex, age, marital status and country of birth.

Results: In total, 79% of respondents rated "appraisal of own skills and aptitudes" as influential in their choice of specialty followed by "intellectual content of the specialty" (75%). Extrinsic factors rated as most influential were "work culture" (72%), "flexibility of working arrangements" (56%) and "hours of work" (54%). We observed variation across training programs in the importance ascribed to factors influencing choice of specialty, and by sex, age and marital status. Factors of particular importance to women, compared with men, were "appraisal of domestic circumstances" (odds ratio [OR], 1.9), "hours of work" (OR, 1.8) and "opportunity to work flexible hours" (OR, 2.6). Partnered doctors, compared with single doctors, rated "hours of work" and "opportunity to work flexible hours" as more important (OR, 1.3), while "domestic circumstances" was more important to doctors with children than those without children (OR, 1.7). In total, 80% of doctors had chosen their specialty by the end of the third year after graduation.

Conclusions: Experience with discipline-based work cultures and working conditions occurs throughout medical school and the early postgraduate years, and most doctors choose their specialty during these years. It follows that interventions to influence doctors' choice of specialty need to target these critical years.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Age Distribution
  • Attitude of Health Personnel
  • Australia
  • Career Choice*
  • Decision Making
  • Female
  • Focus Groups
  • Humans
  • Male
  • Medicine / statistics & numerical data*
  • Personnel Staffing and Scheduling / statistics & numerical data
  • Sex Distribution
  • Socioeconomic Factors
  • Specialization*
  • Students, Medical / statistics & numerical data*