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Burnout and work-privacy conflict – are there differences between full-time and part-time physicians?

BMC Health Serv Res. 2022 Aug 24;22(1):1082. doi: 10.1186/s12913-022-08471-8.

ABSTRACT

BACKGROUND: Changes in everyday work with regard to working time models have reached the medical profession. The number of physicians working part-time is steadily increasing. At the same time, however, the population’s need for care is also rising. This can reinforce the impending shortage of doctors in the future. The aim was to investigate differences in work-privacy conflict and burnout among physicians working full-time or part-time.

METHOD: The present study includes data from a baseline survey of the long-term study of physicians with different medical backgrounds. The analysis focused on a sub-sample of 598 physicians (not self-employed). The two main outcomes under investigation-burnout and work-privacy conflict-were measured using the Copenhagen Burnout Inventory adapted for health care professionals, as well as the associated subscale of the Copenhagen Psychosocial Questionnaire (COPSOQ). Data analyses included descriptive statistics followed by regression models.

RESULTS: Descriptive analyses show, that 31.8% of physicians are working part-time, whereas 68.2% are working full-time. The part-time subsample is significantly older, and female physicians are more likely to work part-time. With regard to workload and work-privacy conflict, significant differences between part-time and full-time physicians were only observed in terms of work-privacy-conflict. However, regression analysis underline the importance of possible confounding variables (such as medical setting) within the relationship between job size and job-related well-being.

DISCUSSION: Differences in working hour arrangements (full-time or part-time work) are only accompanied by less work-privacy conflict. No differences with regard to burnout (patient-related, work-related or personal) could be obtained. Rather, the data suggests that other job-related variables may play a role and should be further investigated.

PMID:36002851 | DOI:10.1186/s12913-022-08471-8

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