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ORIGINAL ARTICLE
Year : 2012  |  Volume : 21  |  Issue : 2  |  Page : 119-124

Internal predictors of burnout in psychiatric nurses: An Indian study


1 Department of Psychiatry, Berhampore Mental Hospital, Berhampore, Murshidabad, West Bengal, India
2 Department of Psychiatry, Berhampore Sadar Hospital, Berhampore, Murshidabad, West Bengal, India
3 Pravaara Institute of Medical Sciences (Deemed University), Rural Medical College and Pravara Rural Hospital, Loni, Maharashtra, India

Correspondence Address:
Suprakash Chaudhury
Department of Psychiatry, Pravaara Institute of Medical Sciences (Deemed University), Rural Medical College and Pravara Rural Hospital, Loni - 413 736, Dist. Ahmednagar, Maharashtra
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0972-6748.119604

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Background: Research has not adequately focused on the issue of burnout in Psychiatric nurses, despite the fact that they suffer considerable stress in their work. Till date no study has been conducted on burnout among psychiatric nurses in India. Further, there is a particular lack of research in internal variables predicting burnout in them. Aims: To determine whether there are any internal psychological factors relevant to burnout in psychiatric nurses in India. Materials and Methods: We recruited 101 psychiatric nurses scoring less than two in General Health Questionnaire, version 12 (GHQ-12) from two psychiatric hospitals after obtaining informed consent. All subjects filled up a sociodemographic data sheet along with global adjustment scale, emotional maturity scale, PGI general well-being scale, locus of control scale, and Copenhagen burnout inventory (CBI). Correlations between burnout and sociodemographic/clinical variables were done by Pearson's r or Spearman's rho. Signi ficant variables were entered in a stepwise multiple linear regression analysis with total burnout score as dependent variable. Results: Age, duration of total period of nursing, prior military training, locus of control, sense of general well-being, adjustment capabilities, and emotional maturity had significant relation with burnout. Of them, emotional maturity was the most significant protective factors against burnout along with adjustment capabilities, sense of physical well-being, and military training in decreasing significance. Together they explained 41% variation in total burnout score which is significant at <0.001 level. An internal locus of control was inversely correlated with burnout, but failed to predict it in regression analysis. Conclusion: Emotional maturity, adjustability, sense of general physical well-being as well as prior military training significantly predicted lower burnout. Of them, emotional maturity was the most important predictor. Internal locus of control was also correlated with lower burnout.


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