Like all health care workers, rehabilitation professionals are at a high risk of burnout. There are common mechanisms underlying burnout in the different professional groups investigated. Further research in occupational health in rehabilitation settings is needed to prevent burnout.
Background The Health & Safety Executive Indicator Tool (HSE-IT) is a standard-based questionnaire commonly used to assess work-related stress in organizations. Although the HSE-IT validity has been well documented and significant relationships have been observed between its scales and several work-related outcomes, to date there is no evidence concerning the relationships between the HSE-IT and burnout among healthcare workers. Aims To investigate the relationships between the HSE-IT subscales and burnout dimensions as measured by the Maslach Burnout Inventory (MBI) in a sample of Italian rehabilitation professionals employed in healthcare institutions. Methods An anonymous cross-sectional questionnaire was administered to a sample of Italian rehabilitation professionals including physical therapists, occupational therapists, psychiatric rehabilitation technicians and developmental psychomotor therapists. Associations between the HSE-IT and the MBI were analysed with multiple linear regression models. Results A total of 432 rehabilitation professionals completed the questionnaire and 14% of them showed high levels of burnout risk. Significant differences in the HSE-IT scores were found between workers at high risk of burnout and workers at low risk of burnout. Hierarchical regressions showed an association between the HSE-IT scales and the MBI factors: emotional exhaustion was associated with ‘demands’ and ‘role’, and both depersonalization and personal accomplishment were associated with ‘control’ and ‘role’. Conclusions This preliminary study showed the HSE-IT subscales are sensitive to burnout risk as measured by the MBI. The association found between the HSE-IT ‘demands’, ‘role’ and ‘control’ subscales and the MBI dimensions is significant but small. These findings might inform targeted burnout prevention.
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