Browsing by Author "Pathanasethpong A."
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Item Metadata only Burnout among anesthesia personnel in Thailand: A national survey of workload, personality traits, and resilience(2026-05-01) Sakulteera N.; Puranitee P.; Pathanasethpong A.; Rattana-Arpa S.; Raksamani K.; Sakulteera N.; Mahidol UniversityBackground Burnout is a critical issue affecting anesthesia personnel, with implications for both provider well-being and patient safety. This study aimed to examine the prevalence of high-risk burnout among anesthesia providers in Thailand and identify associated demographic, occupational, and psychological predictors. Methods A national cross-sectional survey was conducted among anesthesia personnel in Thailand. Burnout was assessed using the Maslach Burnout Inventory–Human Services Survey (MBI-HSS), with high-risk burnout defined by emotional exhaustion ≥27 and depersonalization ≥10. Personality traits were measured using the 20-item Mini International Personality Item Pool (Mini-IPIP), which evaluates five domains: openness, conscientiousness, extraversion, agreeableness, and neuroticism (scored from 1 to 5). Resilience was assessed using the 10-item Connor-Davidson Resilience Scale (CD-RISC-10), with total scores ranging from 0 to 40 and participants categorized into quartiles. Univariable and multivariable logistic regression analyses were used to identify independent predictors. Results Of the 613 responses received, 593 were included in the final analysis. High-risk burnout was identified in 262 participants (44.2%). The high-risk group had significantly higher neuroticism scores (mean 4.11 ± 0.81) and lower scores for conscientiousness (4.21 ± 0.69), extraversion (3.72 ± 0.82), and agreeableness (4.39 ± 0.78) compared to the non-burnout group. No significant difference was found in openness scores. Regarding resilience, most high-risk participants (76.3%) fell within the lowest CD-RISC-10 quartile (score range 0–29). Independent predictors of high-risk burnout included higher self-reported burnout severity (adjusted OR 3.84, 95% CI: 2.70–5.47), intention to leave the current role (OR 1.73, 95% CI: 1.21–2.47), higher neuroticism (OR 1.28, 95% CI: 1.13–1.46), and lower resilience (OR 0.70, 95% CI: 0.50–0.99). Other factors such as younger age and frequent night shifts were significant in univariable analysis but not in the final adjusted model. Conclusion Burnout is prevalent among Thai anesthesia personnel and is strongly associated with individual psychological characteristics—particularly higher neuroticism and lower resilience. These findings support the implementation of targeted interventions such as resilience-building programs, psychological screening, and workload management to reduce burnout risk in anesthesia practice.
