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Job Demands, Burnout, and Teamwork in Healthcare Professionals Working in a General Hospital that Was Analysed At Two Points in Time

AIM: The purpose of the paper was to assess job demands, burnout, and teamwork in healthcare professionals (HPs) working in a general hospital that was analysed at two points in time with a time lag of three years. METHODS: Time 1 respondents (N = 325) were HPs who participated during the first wave...

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Detalles Bibliográficos
Autores principales: Mijakoski, Dragan, Karadzhinska-Bislimovska, Jovanka, Stoleski, Sasho, Minov, Jordan, Atanasovska, Aneta, Bihorac, Elida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Republic of Macedonia 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5927511/
https://www.ncbi.nlm.nih.gov/pubmed/29731948
http://dx.doi.org/10.3889/oamjms.2018.159
Descripción
Sumario:AIM: The purpose of the paper was to assess job demands, burnout, and teamwork in healthcare professionals (HPs) working in a general hospital that was analysed at two points in time with a time lag of three years. METHODS: Time 1 respondents (N = 325) were HPs who participated during the first wave of data collection (2011). Time 2 respondents (N = 197) were HPs from the same hospital who responded at Time 2 (2014). Job demands, burnout, and teamwork were measured with Hospital Experience Scale, Maslach Burnout Inventory, and Hospital Survey on Patient Safety Culture, respectively. RESULTS: Significantly higher scores of emotional exhaustion (21.03 vs. 15.37, t = 5.1, p < 0.001), depersonalization (4.48 vs. 2.75, t = 3.8, p < 0.001), as well as organizational (2.51 vs. 2.34, t = 2.38, p = 0.017), emotional (2.46 vs. 2.25, t = 3.68, p < 0.001), and cognitive (2.82 vs. 2.64, t = 2.68, p = 0.008) job demands were found at Time 2. Teamwork levels were similar at both points in time (Time 1 = 3.84 vs. Time 2 = 3.84, t = 0.043, p = 0.97). CONCLUSION: Actual longitudinal study revealed significantly higher mean values of emotional exhaustion and depersonalization in 2014 that could be explained by significantly increased job demands between analysed points in time.