Resident operative experience during the transition to work-hour reform

Arch Surg. 2005 Feb;140(2):137-45. doi: 10.1001/archsurg.140.2.137.

Abstract

Hypothesis: The operative volume of chief residents would decrease with work-hour reform by the Accreditation Council for Graduate Medical Education (ACGME).

Design: Mixed-design study performed during July and December 2003. Collected data were from programs experimenting with work-hour reform and programs that had not yet implemented reform. New York programs were also included.

Setting: University-, community/university-, and community-based surgical residency programs.

Other participants: Telephone conversations occurred with 10 randomly selected program directors.

Main outcome measures: Operative logs from chief residents graduating in 2002 and 2003 and a survey requesting information on programmatic changes.

Results: Of the 80 programs that responded, statistical analyses revealed the following findings: (1) there were no significant differences in the operative volume of chief residents based on work-hour model, program setting, or graduating class; (2) there was no significant difference in chiefs' operative volume between programs that experimented with work-hour reform and programs that did not experiment with work-hour reform during 2002-2003; (3) there was no relationship found between work hours and volume of operative cases; and (4) there was an inverse relationship found between work hours and operative volume for residents in New York programs.

Conclusion: Several correlates must be considered for effective assessment and evaluation of the impact of work-hour reform on surgical training and education.

MeSH terms

  • Adult
  • Efficiency, Organizational
  • General Surgery / education*
  • Humans
  • Internship and Residency / organization & administration*
  • Leadership
  • Motor Skills
  • New York
  • Personnel Staffing and Scheduling / organization & administration*
  • Program Evaluation
  • Surgical Procedures, Operative / statistics & numerical data*
  • Time Factors