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Comparing Burnout Across Emergency Physicians, Nurses, Technicians, And Health Information Technicians Working For The Same Organization

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Date
2016
Author
Schooley, Benjamin
Hikmet, Neset
Tarcan, Menderes
Yorgancioglu, Gamze
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Abstract
Studies on the topic of burnout measure the effects of emotional exhaustion (EE), depersonalization (DP) (negative or cynical attitudes toward work), and reduced sense of personal accomplishment (PA). While the prevalence of burnout in practicing emergency medicine (EM) professionals has been studied, little is known of the prevalence and factors across physicians, nurses, technicians, and health information technicians working for the same institution. The aim of this study was to assess burnout differences across EM professional types., The total population of 250 EM professionals at 2 public urban hospitals in Turkey were surveyed using the Maslach Burnout Inventory and basic social- and work-related demographics. Descriptive statistics, ANOVA, and additional post hoc tests were computed., Findings show that EE and DP scores were high across all occupational groups, while scores on PA were low. There was a statistically significant difference between nurses and medical technicians (P < 0.05) for EE; and between physicians and both nurses and medical technicians (P < 0.05) for PA; while no group differences were found for DP. Age, gender, economic well-being, and income level were all significant; while patient load and marital status showed no significance., Burnout can be high across occupational groups in the emergency department. Burnout is important for EM administrators to assess across human resources. Statistically significant differences across socio-demographic groups vary across occupational groups. However, differences between occupational groups may not be explained effectively by the demographic factors assessed in this or other prior studies. Rather, the factors associated with burnout are incomplete and require further institutional, cultural, and organizational analyses including differentiating between job tasks carried out by each EM job type.
URI
https://doi.org/10.1097/MD.0000000000002856
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4998861/
http://hdl.handle.net/11655/21335
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