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Measuring physician mental workload: Reliability and validity assessment of a brief instrument

  • Dennis A. Bertram
  • , Donald A. Opila
  • , Jeffrey L. Brown
  • , Susan J. Gallagher
  • , Richard W. Schifeling
  • , Irene S. Snow
  • , Charles O. Hershey
  • Departments of Social and Preventive Medicine
  • SUNY Buffalo

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

Abstract

This study examined the reliability and validity of a brief six-item instrument to measure the mental workload experienced by residents for specific patient visits to an ambulatory care clinic. Participating in the study were twenty-two residents in postgraduate years 1 through 3 who were working in the general outpatient clinic of an inner city, private, nonprofit community hospital. Cronbach’s alpha coefficient for the instrument was 0.80. Findings supported several theory-based hypotheses on determinants and performance consequences of mental workload. Mental workload was positively correlated with fatigue (r = 0.42, P = 0.03) and inversely correlated with residents’ self- rated experience with patients’ problems (r = -0.65, P < 0.001). Residents’ performance was measured through self-ratings and faculty physicians’ ratings. Mental workload was inversely correlated with self-rated performance (r = -0.67, P < 0.001). The correlation of mental workload with faculty physician ratings that reflected the technical dimension of patient care (physician examination, medications, and procedures) was r = -0.38 (P = 0.04). With mental workload squared, the correlation was r = -0.45 (P = 0.02) and the form of the relationship, consistent with the hypothesis, was a slightly downward sloping curve. Limitations of this research are discussed as well as suggestions for further research.

Original languageEnglish
Pages (from-to)95-103
Number of pages9
JournalMedical Care
Volume30
Issue number2
DOIs
StatePublished - Feb 1992

Keywords

  • Internship and residency
  • Personnel management
  • Personnel staffing
  • Scheduling
  • Work schedule tolerance
  • Workload

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