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Actionable companion · Staff wellbeing and retention

From leadership research to district action: Work-related distress and professional quality of life in a medical-school workforce: a primary-care occupational-health perspective

AI-assisted editorial implementation guide. Proposed district actions are separate from the original authors’ findings and recommendations. Independent peer review of this guide is not asserted.

Evidence and transfer

Education-related source: verify which participants, institutions and outcomes were actually studied before district adoption. Source publication type: research-article. License and identity checks do not establish study quality or causality.

Original authors’ abstract, reproduced under the source license:

Abstract Background Work-related distress may present in primary care through nonspecific physical, psychological, or functional complaints. This study assessed professional quality of life in a United Arab Emirates medical-school workforce through primary-care and occupational-health perspectives. Methods A cross-sectional electronic survey was conducted among employees of the College of Medicine and Health Sciences, United Arab Emirates University, between October 2025 and February 2026. The sampling frame comprised 373 employees. Professional quality of life was assessed using the Professional Quality of Life Scale, Version 5. Descriptive statistics, reliability analysis, subgroup comparisons, correlations, and sensitivity analyses were performed. Results Of 373 eligible employees, 162 responded to the survey invitation, 140 were retained after consent confirmation, 109 reached the ProQOL section, and 108 had usable ProQOL subscale scores. Faculty members accounted for 56.9% of respondents and non-faculty employees for 43.1%. Mean scores were 38.88 (SD = 5.70) for compassion satisfaction, 22.35 (SD = 5.13) for burnout, and 23.67 (SD = 6.24) for secondary traumatic stress. Compassion satisfaction was mostly moderate or high, burnout was low or moderate, and secondary traumatic stress was mostly low or moderate. Cronbach’s alpha coefficients were 0.857, 0.747, and 0.838, respectively. No statistically significant differences were detected between faculty and non-faculty employees across ProQOL domains. Compassion satisfaction was strongly and negatively correlated with burnout (r = −0.620, p < 0.0001), while burnout was moderately and positively correlated with secondary traumatic stress (r = 0.535, p < 0.0001). Conclusion Professional meaning was generally preserved, but workload-related strain remained evident. The findings support attention in primary care to occupational context, functioning, recovery, and work-life boundaries. They also support coordinated consideration of workload and access to support by institutional leadership, human resources, and occupational-health services. These implications are hypothesis-generating because specific job demands, resources, and intervention effects were not measured. Keywords: burnout, compassion satisfaction, family medicine, occupational health, primary care, professional quality of life, United Arab Emirates, work-related stress

Study methods

This cross-sectional survey assessed professional quality of life among employees at the College of Medicine and Health Sciences (CMHS), United Arab Emirates University (UAEU). Data were collected between October 2025 and February 2026 using a self-administered electronic questionnaire hosted on Research Electronic Data Capture (REDCap) at the UAEU. REDCap is a secure, web-based software platform designed to support data capture for research studies through an intuitive interface for validated data entry, audit trails for tracking data manipulation and export procedures, automated export to common statistical packages, and procedures for data integration and interoperability with external sources (40, 41).

Limitations

This study has several strengths. It examined the broader medical-school workforce rather than faculty alone, used a validated ProQOL framework that captures both positive and negative professional experiences, reported reliability estimates, and interpreted workforce wellbeing through a clinical and occupational-health lens.

A 90-day district inquiry

  1. Days 1–15 · Appraise. Read the source methods, recruitment, comparator, outcomes and limitations. Record how the study setting differs from your district and which claim the design can support.
  2. Days 16–30 · Design. Map one recurring source of staff workload with voluntary staff input. Agree one reversible schedule, support or task-allocation change and name its owner. Agree participation, privacy protections, baseline and stopping rules before starting.
  3. Days 31–60 · Observe. Collect the pre-agreed measures, keep a log of implementation changes and invite confidential voluntary feedback. Preserve existing support for staff and learners.
  4. Days 61–90 · Decide. Compare workload hours, a consistent voluntary wellbeing measure, absence and retention intentions with the pre-pilot baseline. Report response rates and avoid causal claims from an uncontrolled comparison. Make a dated decision to stop, revise or extend the inquiry.

Board decision brief

Present the local problem, source setting, evidence limits, intervention, responsible owner, total cost, measured changes and uncertainty. Separate staff perceptions, implementation measures and student learning outcomes.

Attribution and reuse

Falah Mohammed Almarzooqi; Saif Al-Shamsi; Syed Fahad Javaid; Afaf Alblooshi; Faten AlRadini. Work-related distress and professional quality of life in a medical-school workforce: a primary-care occupational-health perspective. Frontiers in Medicine (2026-09-03). https://doi.org/10.3389/fmed.2026.1933465

Prepared 2026-11-07. Source authorship and DOI are preserved. The abstract and source passages are attributed extracts; this editorial guide is offered under the same CC BY 4.0 license.