Abstract
To identify well-being threats for surgeons and anesthesiologists and develop interventions using the quality of life improvement (QOLI) approach. Developing feasible perioperative well-being interventions requires identifying shared and specialty-specific well-being needs. The QOLI framework integrates human-centered design, implementation science, and quality improvement to address well-being needs. Anesthesia and surgery faculty in 8 perioperative departments at an academic medical center completed cross-sectional surveys containing validated measures of well-being and workplace satisfaction, and open-ended questions about professional motivations, pain points, strategies for improvement, and well-being priorities. Using template analysis, we analyzed open-ended survey data and presented resulting themes at a joint-specialty town hall for live voting to identify well-being priorities. One hundred four perioperative faculty completed the survey. Across specialties, higher Mental Health Continuum-Short Form scores (representative of individual global well-being) were associated with higher satisfaction with workplace control, values, decision latitude, and social support. Anesthesiologists reported lower satisfaction and control than surgeons across multiple domains. Template analysis yielded 5 areas for intervention: (1) work culture, (2) work environment/resources, (3) sources of fulfillment, (4) work/life harmony, and (5) financial compensation. Surgeons and anesthesiologists both prioritized high-quality patient care but differed in their other top priorities. The most frequently cited well-being threats for surgeons were operating room inefficiencies/delays and excessive workload, whereas anesthesiologists cited understaffing and unpredictable work hours. Surgeons and anesthesiologists share many needs and priorities, with pain points that are often negatively synergistic. Applying the QOLI approach across specialties allows for well-being interventions that honor complexity and promote the development of feasible solutions.
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