The number and composition of work hours for attending physicians in Taiwan

Sci Rep. 2020 Sep 10;10(1):14934. doi: 10.1038/s41598-020-71873-3.

Abstract

Long work hours among physicians is a worldwide issue in the healthcare arena. Previous studies have largely focused on the work hours of resident physicians rather than those of attending physicians. The purpose of this study was to investigate total work hours and the composition of those work hours for attending physicians across different hospital settings and across different medical specialties through a nationwide survey. This included examining differences in physician workload and its composition with respect to different hospital characteristics, and grouping medical specialties according to the work similarities. A cross-sectional self-reported nationwide survey was conducted from June to September of 2018, and the two questionnaires were distributed to all accredited hospitals in Taiwan. The number of physician work hours in different types of duty shifts were answered by medical specialty in each surveyed hospital. Each medical specialty in a hospital filled only one response for its attending physicians. The findings reveal that the average total work hours per week of an attending physician is around 69.1 h, but the total work hours and their composition of different duty shifts varied among hospital accreditation levels, geographic locations, emergency care responsibilities, and medical specialties. Because of the variance in the number and composition of attending physicians' work hours, adjusting physician work hours to a reasonable level will be a major challenge for health authority and hospital managers.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cross-Sectional Studies
  • Humans
  • Medicine / statistics & numerical data*
  • Physicians / psychology*
  • Quality of Health Care / standards*
  • Stress, Psychological / epidemiology*
  • Surveys and Questionnaires
  • Taiwan / epidemiology
  • Work Schedule Tolerance / psychology*
  • Workload / statistics & numerical data*