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dc.contributor.authorSipos, David
dc.contributor.authorFreihat, Omar
dc.contributor.authorPandur, Attila András
dc.contributor.authorTollár, József
dc.contributor.authorKedves, András
dc.contributor.authorRepa, Imre
dc.contributor.authorKovács, Árpád
dc.contributor.authorPetőné Csima, Melinda
dc.date.accessioned2024-04-11T13:16:15Z
dc.date.available2024-04-11T13:16:15Z
dc.date.issued2020
dc.identifier.urihttp://pea.lib.pte.hu/handle/pea/44973
dc.description.abstractIntroduction: The risk of burnout in healthcare can affect the quality of patient care. The purpose of this study was to assess burnout ratesamong 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 sociodemographicand work-related characteristics, an internationally validated Maslach Burnout Inventory (MBI) was used. Descriptivestatistics, 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 samplebut male respondents tend to be more affected by burnout (p = 0.001). Working over 50 hours per week affected negatively the dimensionsof 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 whorated their health as excellent had higher values of personal achievement (p = 0.01). They also had significantly lower levels of emotionalexhaustion 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 factorsassociated with burnout may help us develop strategies for prevention.
dc.language.isoeng
dc.subjectBurnout
dc.subjectHealthcare
dc.subjectMaslach Burnout Inventory
dc.subjectRadiographer
dc.titleDiffusion-Weighted Imaging (DWI) derived from PET/MRI for lymph node assessment in patients with Head and Neck Squamous Cell Carcinoma (HNSCC)
dc.identifier.doi10.32725/kont.2020.038
peapub.journaltitle.mainKONTAKT
dc.identifier.contributormtmtid10064622
dc.format.page228-234
dc.identifier.mtmt31644609
dc.identifier.publisherlinkhttp://kont.zsf.jcu.cz/artkey/knt-202004-0004_mozne-prediktory-syndromu-vyhoreni-u-radiologu-v-madarsku-demograficke-a-pracovni-charakteristiky.php
dc.identifier.eissn1804-7122
dc.identifier.volume22
dc.identifier.issue4


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