Literature DB >> 23326940

[Job satisfaction, job burnout and their relationships with work'and patients' characteristics: a comparison between intensive care units (ICU) and not-intensive care units (not-ICU)].

Sara Viotti1, Daniela Converso, Barbara Loera.   

Abstract

INTRODUCTION: Health worker's population is espoused to high level of stress, and several studies highlight differences between intensive care units (ICU) and non-intensive care unit (non-ICU). Particular features of the job in ICU concern responsibilities for critically patients, highly advanced technology and need for quick decision. AIMS: Aims of this study are: (1) to examine differences between ICU's and not-ICU's workers on several dimensions describing work environment and workers' health; (2) investigate which specific work conditions have a role in determining psychological work reactions in ICU's and not-ICU's workers.
METHOD: 144 ICUs' and not-ICU's 114 workers employed in an Italian Hospital filled out a questionnaire concerning decision authority, autonomy, colleagues' and supervisors' support, physical and cognitive demands as antecedents; job satisfaction and job burnout (EE, DP) as consequences.
RESULTS: 1) MANOVA highlighted how ICU workers reported significantly higher scores on depersonalization, job satisfaction, aggressive customers, while physical demands and proportionate customer expectations were significantly higher for not-ICU workers; (2) Six Multiple Linear Regressions were carried out. Those indicated decision authority, autonomy and supervisors' support as predictors of emotional exhaustions in ICU. In not-ICU only cognitive demands and colleagues' support are significant predictors. Depersonalization is predicted in ICU by colleagues' support. Predictors of job satisfaction both in ICU and not-ICU are: decision authority and colleagues support.
CONCLUSION: Current study highlighted several differences among ICU and non-ICU workers' referred to work environment and psychological reactions.

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Mesh:

Year:  2012        PMID: 23326940

Source DB:  PubMed          Journal:  G Ital Med Lav Ergon        ISSN: 1592-7830


  7 in total

1.  Evaluating the psychometric properties of the Maslach Burnout Inventory-Human Services Survey (MBI-HSS) among Italian nurses: how many factors must a researcher consider?

Authors:  Barbara Loera; Daniela Converso; Sara Viotti
Journal:  PLoS One       Date:  2014-12-12       Impact factor: 3.240

2.  Buffering Effect of Job Resources in the Relationship between Job Demands and Work-to-Private-Life Interference: A Study among Health-Care Workers.

Authors:  Sara Viotti; Daniela Converso
Journal:  Saf Health Work       Date:  2016-05-25

3.  The Buffering Effect of Humanity of Care in the Relationship between Patient Satisfaction and Waiting Time: A Cross-sectional Study in an Emergency Department.

Authors:  Sara Viotti; Claudio Giovanni Cortese; Jacopo Garlasco; Erika Rainero; Ifeoma Nneka Emelurumonye; Stefano Passi; Flavio Boraso; Maria Michela Gianino
Journal:  Int J Environ Res Public Health       Date:  2020-04-24       Impact factor: 3.390

4.  The relationship between menopausal symptoms and burnout. A cross-sectional study among nurses.

Authors:  Daniela Converso; Sara Viotti; Ilaria Sottimano; Barbara Loera; Giorgia Molinengo; Gloria Guidetti
Journal:  BMC Womens Health       Date:  2019-11-27       Impact factor: 2.809

5.  Interventions on reducing burnout in physicians and nurses: A systematic review.

Authors:  Aidin Aryankhesal; Roghayeh Mohammadibakhsh; Yadollah Hamidi; Saeideh Alidoost; Masoud Behzadifar; Rahim Sohrabi; Zeynab Farhadi
Journal:  Med J Islam Repub Iran       Date:  2019-07-31

6.  Do positive relations with patients play a protective role for healthcare employees? Effects of patients' gratitude and support on nurses' burnout.

Authors:  Daniela Converso; Barbara Loera; Sara Viotti; Mara Martini
Journal:  Front Psychol       Date:  2015-04-21

7.  Verbal Aggression from Care Recipients as a Risk Factor among Nursing Staff: A Study on Burnout in the JD-R Model Perspective.

Authors:  Sara Viotti; Silvia Gilardi; Chiara Guglielmetti; Daniela Converso
Journal:  Biomed Res Int       Date:  2015-10-19       Impact factor: 3.411

  7 in total

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