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Developing an Integrated Evaluation Model for Physician Comprehensive Workload Tethered to Outpatient Practice: An
Dehe Li1, Yinhuan Hu1, Sha Liu1
1School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
A new Physician Comprehensive Workload (PCW) model integrates objective and mental workload to better assess physician burden. This framework identifies factors contributing to high PCW, aiding hospital managers in supporting overloaded physicians.
Area of Science:
- Healthcare Management
- Occupational Health
- Medical Workforce Research
Background:
- Previous physician workload studies often used only objective or mental workload, failing to capture the full picture.
- A comprehensive evaluation framework integrating both objective and mental workload is needed to accurately assess physician burden.
Purpose of the Study:
- To develop and apply an integrated evaluation model for physician comprehensive workload (PCW) in outpatient settings.
- To identify factors influencing PCW and physicians experiencing high workload.
Main Methods:
- A comprehensive evaluation framework combining objective workload, task-level mental workload, service quality, and patient complexity was proposed.
- An integrated PCW model was developed and applied to cross-sectional data from 1,934 Chinese outpatient physicians.
- Multiple linear and multinomial logistic regression analyses were used to identify influencing factors.
Main Results:
- The average PCW score was 811.30, with 11.2% of physicians identified as having very high PCW.
- Factors associated with higher PCW included being female, from Eastern/Western China, and working >60 hours/week.
- Very high PCW was linked to being female, older, from Western China, lower education/titles, longer tenure, and working in tertiary A hospitals or specific departments.
Conclusions:
- The developed PCW model offers a comprehensive approach to assessing physician workload in outpatient practice.
- This framework can help hospital managers accurately identify physicians with high workload who might be missed by single-dimension assessments.
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