Original Articles
17 February 2025
Vol. 41 No. 1 (2019)
https://doi.org/10.4081/gimle.490

[Burnout assessment in the staff of the haematology department of a teaching hospital]

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Alice Mannocci
alice.mannocci@uniroma1.it
Dipartimento di Sanità Pubblica e Malattie Infettive, Sapienza Università di Roma, Rome, Italy.
Cristina Sestili
Dipartimento di Sanità Pubblica e Malattie Infettive, Sapienza Università di Roma, Rome, Italy.
Federico Carlevale
Dipartimento di Sanità Pubblica e Malattie Infettive, Sapienza Università di Roma, Rome, Italy.
Clara Minotti
Dipartimento di Biotecnologie Cellulari ed Ematologia, Sapienza Università di Roma, Rome, Italy.
Maria De Giusti
Dipartimento di Sanità Pubblica e Malattie Infettive, Sapienza Università di Roma, Rome, Italy.
Paolo Villari
Dipartimento di Sanità Pubblica e Malattie Infettive, Sapienza Università di Roma, Rome, Italy.
Roberto Foà
Dipartimento di Biotecnologie Cellulari ed Ematologia, Sapienza Università di Roma, Rome, Italy.
Claudio Cartoni
Dipartimento di Biotecnologie Cellulari ed Ematologia, Sapienza Università di Roma, Rome, Italy.
Giuseppe La Torre
Dipartimento di Sanità Pubblica e Malattie Infettive, Sapienza Università di Roma, Rome, Italy.

"Helping professions" are characterized have intense involvement between operator and user. Working in such circumstances can lead to a typical emotional stress called "burnout". The aim of this study was to evaluate the perceived 46 state of physical and mental health, and verify the existence of burnout among health care workers of Hematology unit in a Teaching Hospital. Anonymous questionnaires were administered to healthcare professionals (physicians, nurses, health care workers). It includes socio demographic variables, the Maslach Burnout Inventory (MBI) and SF12 also. The MBI captures three dimensions of burnout: emotional exhaustion (EE), depersonalization (DP), and personal accomplishment (RP); whereas the SF12 defines two quality of life scores:
Mental Score (MCS) and Physical Score (PCS).
Of 120 operators 70 individuals responded to the study.
The questionnaire shows that the burnout levels were high in the followed part of the sample: 40% have high level of EE; 24% of DP; 15% of RP. The correlation analysis between SF12 and MBI undelines followed significance: r = -0.576 with p<0.001 between EE and MCS; r = 0.557 with p<0.001 between EE and DP.
The three multivariate analysis refer that: the EE is associated indirectly to PCS and MCS with p<0.05; the DP is directly and significantly (p<0.05) associated to MCS, "years of work" and to female gender. The RP dimension no underlines significant associations with variables studied.
The findings were consistent with the type of work and assisted patients (chronic patient, often with poor prognosis and low expectations in terms of care and survival) that contribute to stressful situations. Personal fulfillment, instead, seems to be quite high in this contest. The relatively small sample couldn't represent the world of health care workers in hematological units, but there is no doubt that a systematic assessment of burnout, to investigate the causes of burnout are main elements to identify the potential solutions to address the phenomenon. Additional investigations of the MBI dimensions using biggest samples would be useful to confirm the results in order to generate burnout reduction measures by institutional and national policies.

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How to Cite



[Burnout assessment in the staff of the haematology department of a teaching hospital]. (2025). Giornale Italiano Di Medicina Del Lavoro Ed Ergonomia, 41(1), 45-51. https://doi.org/10.4081/gimle.490
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