The medical nurses: the factors of professional burning-out

• Published in: Problemy sotsial'noi gigieny, zdravookhraneniia i istorii meditsiny Vol. 29; no. 2; p. 353
• Main Authors: Kobyakova, O S, Deev, I A, Kulikov, E S, Tyufilin, D S, Pleshkov, M O, Homyakov, K V, Levko, A N, Balaganskaya, M V, Zagromova, T A
• Format: Journal Article
• Language: English; Russian
• Published: Russia (Federation) 01.03.2021
• Subjects: Burnout, Professional - epidemiology; Child; Humans; Nurses; Prevalence; Risk Factors; Russia - epidemiology; Surveys and Questionnaires; Russia; paramedical personnel; risk factors; professional burnout; health care; quality
• ISSN: 0869-866X
• DOI: 10.32687/0869-866X-2021-29-2-353-358

Nowadays, the professional burnout of paramedical personnel becomes a serious health care problem, resulting in productivity loss and medical care costs increase. The most effective mean to prevent the mentioned burnout is elimination of risk factors. The study purpose is to identify such factors (both positive or negative ones) and to quantify their contribution into development of professional burnout as exemplified by paramedical personnel in the Tomsk Oblast of Russia. The study sampling included 2,486 paramedicals as respondents. The sociological survey was carried out using questionnaire that included the Maslach Burnout Inventory tool and questions to assess corresponding factors of social, professional, economic and physical spheres of life. The study established high prevalence of high degree (29.57%) and extremely high degree (37.01%) of professional burnout in respondents. The following factors were associated with decrease in likelihood of burnout: advanced age (r = -0.089), married status (OR = 0.7; 95% CI 0.6-0, 9), higher number of children in family (r = -0.088), adequate sleep (r = -0.046), amount of time spent on sports per day (r = -0.167). The following factors were associated with increase in the likelihood of burnout: self-reported lack of sleep (OR = 2.1; 95% CI 1.8-2.5), frequent night shift work (r=0.082). The multiple linear regression analysis was applied with selection of model using the Akaike criterion: two mathematical models were formed for the integral value of professional burnout and its "Emotional exhaustion" sub-scale. The models described 15% and 20% of dispersion, respectively. The models allow both to quantify particular contributing factors to development of this syndrome and to develop programs of strengthening positive factors and mitigate negative ones. This will prevent development of professional burnout in paramedical personnel in the Tomsk Oblast.