Factor Influencing Depersonalization on Prison Employees

  • Marinela Pane Department of policy and social work, Faculty of social science, University of Albania

Abstract

The prison staff is a key factor in the progress of the institution which means that their behaviour directly affects the services it provides. Prisons aim serving the sentence and rehabilitation of prisoners. If the employees of the institution will feel tired, stressed, consume professionally then decrease their effectiveness and performance, which has a direct effect on the life of a prisoner. Professionals dehumanized do not help in achieving the final goal of rehabilitation and teaching positive behaviour of prisoners. This study investigates one of three dimensions of burnout, depersonalization. The aim is to measure the level of depersonalization of the prison staff and to identify the factors influencing it. Quantitative research method was used for data collection and analyse. Cristina Maslach Inventory is completed from 290 participants, aiming to measure the level of depersonalization. The study found out that male professionals, divorced, those who work with the target of the men, and an employee who had a great distance from the place of work were more dehumanized. The quality of relationship with superiors and colleagues affects depersonalization. The less level of communication and cooperation in organization the higher is the level of emotional exhaustion, consequently the level of depersonalization is higher. As conclusion the prevalence of depersonalization is evident in prison staff, but in low levels. Dominant factors influencing depersonalization are the quality of relationship with superiors and colleagues.
Published
Dec 1, 2016
How to Cite
PANE, Marinela. Factor Influencing Depersonalization on Prison Employees. European Journal of Social Science Education and Research, [S.l.], v. 3, n. 3, p. 109-117, dec. 2016. ISSN 2312-8429. Available at: <http://journals.euser.org/index.php/ejser/article/view/1338>. Date accessed: 11 dec. 2018. doi: http://dx.doi.org/10.26417/ejser.v7i1.p109-117.