Page 51 - JCBP-1-1
P. 51

Journal of Clinical and
            Basic Psychosomatics                                   Emotional exhaustion and work–family conflict in physicians




            Table 5. Effect size of WFC in prespecified and exploratory   correlation between WFC and EE is the strongest, and
            subgroups                                          more consideration needs to be given to this part of the
                                                               population.
             Characteristic  No.   β (95%CI)  P     P for
                                                  interaction    This study had several limitations: The causality was
            Sex (n, %)                              0.001      elusive, and a longitudinal study was needed to elucidate
             Male            1356 0.83 (0.77, 0.90)  <0.001    the findings. High variance in EE at low levels of WFC
             Female          1152 0.67 (0.59, 0.74)  <0.001    might be  caused  by under-reporting  WFC. Designs
            Age (n, %)                              0.299      improving sensitive data reporting rates could be helpful.
                                                               We focused on Chinese physicians, and the cultural factors
             <25             113 0.89 (0.67, 1.10)  <0.001     were not studied. Related psychological characteristics,
             25 – 34         1233 0.78 (0.71, 0.85)  <0.001    such as personal, were not investigated.
             35 – 44         773 0.75 (0.66, 0.84)  <0.001       These findings have several implications: First, the high
             45 – 54         318 0.68 (0.53, 0.83)  <0.001     levels of WFC are strongly correlated with EE. Therefore,
             >54              77  0.57 (0.32, 0.81)  <0.001    significant WFC among physicians may serve as a sign
            Marital status                          0.024      of  burnout, whether identified  using a  questionnaire
             Unmarried       546 0.87 (0.76, 0.98)  <0.001     or recognized by supervisors and colleagues. Second,
             Married         1962 0.73 (0.67, 0.78)  <0.001    the relationship between WFC and EE was found to be
            Education                               0.007      strongest among unmarried male physicians, highly
                                                               educated and working in tertiary or general hospitals. It
             Junior College  611 0.61 (0.50, 0.73)  <0.001     highlighted urgent attention for this subgroup. Last but not
             Undergraduate   1,339 0.75 (0.68, 0.82)  <0.001   least, routine utilization of WFC and the Maslach Burnout
             Postgraduate    552 0.85 (0.75, 0.95)  <0.001     Inventory could be beneficial in assessing physicians to
            Hospital Grade                          0.027      detect burnout risk.
             Tertiary hospital  1456 0.77 (0.71, 0.84)  <0.001  5. Conclusion
             Secondary Hospital  325 0.60 (0.44, 0.77)  <0.001
             Primary Hospital  749 0.63 (0.53, 0.73)  <0.001   This study has revealed a U-shaped association between
            Categories of hospitals                 0.041      WFC and EE among Chinese physicians. Both high-level
                                                               and low-level WFCs increase the risk of EE. The present
             General Hospital  2080 0.78 (0.72, 0.84)  <0.001  study’s findings are potentially helpful in developing
             Specialized Hospital  450 0.65 (0.54, 0.76)  <0.001  measures to reduce burnout. Further studies, particularly
            Department                              0.809      longitudinal designs, are needed to illustrate the
             Physician       1021 0.78 (0.70, 0.86)  <0.001    mechanisms behind the association.
             Surgeon         602 0.75 (0.65, 0.85)  <0.001     Acknowledgments
             Others          893 0.74 (0.66, 0.83)  <0.001
            Work experience                         0.118      None.
             <5              638 0.80 (0.70, 0.90)  <0.001     Funding
             5 – 10          560 0.76 (0.66, 0.86)  <0.001
             11 – 20         832 0.79 (0.70, 0.88)  <0.001     This study was supported by grants provided by the Medical
                                                               Science and Technology Development Foundation, Nanjing
             >20             471 0.63 (0.52, 0.75)  <0.001     Department of Health (Nos. YKK17246, YKK21216,
            Title                                   0.652      YKK22264, YKK20184), the Research Special Fund for
             Senior title    581 0.73 (0.63, 0.83)  <0.001     Public Welfare Industry of Health (No.  200802150), the
             Intermediate title  842 0.79 (0.71, 0.88)  <0.001  Suzhou Gusu  Health  Talents  Scientific Research Project
             Primary         1053 0.77 (0.70, 0.85)  <0.001    (Nos. GSWS2021053, GSWS2019070), Key Diagnosis
             technical job title                               and Treatment Program of Suzhou (LCZX202016), and
            Each stratification adjusted for all the factors (sex, age, marital status,   the Suzhou clinical Medical Center for Mood Disorders
            education, hospital grade, categories of hospitals, department, work   (Szlcyxzx202109).
            experience, and title) except the stratification factor itself.
            Abbreviations: WFC: Work–family conflict; and CI: Confidence interval.  Conflict of interest
            physicians  are  male, unmarried,  and  highly  educated   All the authors declare that none of them has a conflicts
            and work in tertiary hospitals and general hospitals, the   of interest.


            Volume 1 Issue 1 (2023)                         7                        https://doi.org/10.36922/jcbp.1013
   46   47   48   49   50   51   52   53   54   55   56