{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T04:53:50Z","timestamp":1791176030615,"version":"4.1.0"},"reference-count":32,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T00:00:00Z","timestamp":1791158400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Public Health"],"abstract":"\n Objective<\/jats:title>\n To investigate the current status of occupational burnout among medical staff with different lengths of service in a designated infectious disease hospital in Lanzhou, and to analyze inter-group differences so as to provide a basis for stratified interventions.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n In May 2025, a questionnaire survey was conducted among 290 on-duty medical staff of the hospital, and 278 valid questionnaires were returned (valid response rate: 95.86%). Occupational burnout was assessed with the Chinese revised version of the Maslach Burnout Inventory\u2013Human Services Survey (MBI-HSS), and burnout level was classified according to the criteria proposed by Li Yongxin et al. The Kruskal-Wallis H test was used to compare groups based on measurement data; the Fisher-Freeman-Halton test was used to compare groups based on burnout levels; and Spearman's rank correlation analysis was used to examine the relationship between burnout levels and years of service.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n The overall detection rate of occupational burnout was 66.91% (186\/278). Total burnout scores did not differ significantly across groups (H = 8.956,\n P<\/jats:italic>\n = 0.111). Scores on the diminished personal accomplishment dimension differed significantly among groups (\n H<\/jats:italic>\n = 13.409,\n P<\/jats:italic>\n = 0.020), with the 21\u201325-year group scoring higher than the 0\u20135-year group (adjusted\n P<\/jats:italic>\n = 0.045). There were statistically significant differences in burnout levels between groups (\n P<\/jats:italic>\n = 0.015), but no significant correlation was found between years of service and burnout levels (\n r<\/jats:italic>\n = \u22120.016,\n P<\/jats:italic>\n = 0.786); the 16\u201320-year group had the highest overall detection rate (83.33%), and the 21\u201325-year group had the highest proportion of severe burnout (15.38%).\n <\/jats:p>\n <\/jats:sec>\n \n Conclusion<\/jats:title>\n Occupational burnout among medical staff at this hospital exhibits a distribution pattern characterized by \u201crelatively high incidence in the middle to late stages, with varying manifestations across different dimensions.\u201d It is recommended that a tiered intervention be implemented for the group with 16 to 20 years of service, placing equal emphasis on career development support and psychological support.<\/jats:p>\n 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