Understanding residents' work: moving beyond counting hours to assessing educational value.
OBJECTIVE
To begin to understand how residents' work affects their own educations and the hospitals in which most of their training takes place, the authors undertook a systematic review of the literature analyzing residents' activities. This review sought to analyze resident physicians' activities to assess the educational value of residents' work.


METHODS
The published literature was searched in 2001 using the Medline and Science Citation Index databases, and the unpublished literature was searched using bibliographies and key informants. One hundred six studies were rated for methodological rigor using the Cochrane Collaboration protocol, as modified by Bland et al. for nonclinical trials. Only those studies undertaken following the Bell Commission's report in 1987 and whose methodological rigor score fell at or above the median for all studies rated were included in the data synthesis. Results data from 16 studies that included over 1,000 residents in six different specialties, were combined under the definitions of types of residents' activities: marginal, patient care, teaching and learning, and other.


RESULTS
This preliminary analysis found that residents devoted approximately 36% of their effort to direct patient care necessary to achieve specialty-specific learning objectives, 15% to the residency program's organized teaching activities, and potentially as much as 35% to delivering patient care of marginal or no educational value. An additional 16% of residents' waking time on duty was spent in other, unspecified activities.


CONCLUSIONS
It is possible and potentially valuable to consider not only the number of hours worked by residents, but the educational content of their work when considering residency work and hour reforms
D004501:Education, Medical; D004503:Education, Medical, Graduate / Q000706:statistics & numerical data*; D006801:Humans; D007396:Internship and Residency / Q000706:statistics & numerical data*; D008511:Medicine / Q000706:statistics & numerical data; D013038:Specialization; D013997:Time Factors; D016526:Workload