Kontakt 2020, 22(4):228-234 | DOI: 10.32725/kont.2020.038

Possible predictors of burnout among radiographers in Hungary: demographic and work related characteristicsNursing - Original article

David Sipos1,2,3,*, Omar Freihat1, Attila András Pandur1, József Tollár2, András Kedves2, Imre Repa1,3, Árpád Kovács1,2,3, Melinda Petőné Csima2
1 University of Pécs, Faculty of Health Sciences, Doctoral School, Pécs, Hungary
2 University of Pécs, Faculty of Health Sciences, Department of Medical Imaging, Pécs, Hungary
3 Somogy County Kaposi Moricz Teaching Hospital Dr. József Baka Diagnostic, Radiation Oncology, Research and Teaching Center, Kaposvár, Hungary

Introduction: The risk of burnout in healthcare can affect the quality of patient care. The purpose of this study was to assess burnout rates among Hungarian radiographers to find out the possible reasons behind the phenomenon.

Methods: Quantitative, cross-sectional, descriptive data collection was conducted from June to September 2018. In addition to socio-demographic and work-related characteristics, an internationally validated Maslach Burnout Inventory (MBI) was used. Descriptive statistics, one-sample t-test, ANOVA, Mann-Whitney and Kruskal-Wallis test with 95% probability were used for statistical items (p = 0.05).

Results: We examined 238 radiographers' data with the mean age of 34.42 years (SD 10.53). Woman respondents dominated the sample but male respondents tend to be more affected by burnout (p = 0.001). Working over 50 hours per week affected negatively the dimensions of depersonalization and emotional exhaustion. 40 to 50 hours of work per week affected foremost the personal achievement dimension (p = 0.001). Radiographers working in oncology patient care are more affected by emotional exhaustion (p = 0.001). Respondents who rated their health as excellent had higher values of personal achievement (p = 0.01). They also had significantly lower levels of emotional exhaustion than respondents who considered their health status to be tolerable or poor (p = 0.001).

Conclusions: The extent of burnout may vary depending on the radiographers' work related characteristics. Understanding the risk factors associated with burnout may help us develop strategies for prevention.

Keywords: Burnout; Healthcare; Maslach Burnout Inventory; Radiographer

Received: June 2, 2020; Revised: August 24, 2020; Accepted: October 19, 2020; Prepublished online: October 21, 2020; Published: December 15, 2020  Show citation

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Sipos D, Freihat O, Pandur AA, Tollár J, Kedves A, Repa I, et al.. Possible predictors of burnout among radiographers in Hungary: demographic and work related characteristics. Kontakt. 2020;22(4):228-234. doi: 10.32725/kont.2020.038.
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