Multilevel approach to individual and organisational predictors of stress and fatigue among healthcare workers of a university hospital: a longitudinal study

• Published in: Occupational and environmental medicine (London, England) England), 2022-08, Vol.79 (12), p.839-847
• Main Authors: Daouda, Oumou Salama, Bun, René Sosata, Ait Bouziad, Karim, Miliani, Katiuska, Essa-Eworo, Anastasia, Espinasse, Florence, Seytre, Delphine, Casetta, Anne, Nérome, Simone, Nascimento, Adelaide, Astagneau, Pascal, Temime, Laura, Hocine, Mounia N
• Format: Article
• Language: English
• Subjects: Absenteeism; Chronic fatigue syndrome; Commuting; Data collection; Fatigue; Health care; Hospitals; Life Sciences; Likert scale; Longitudinal studies; Medical personnel; Mental health; Missing data; Nurses; Occupational health; Patient safety; Questionnaires; Safety; Santé publique et épidémiologie; Shift work; Social interactions; Social support; statistics; Stress; Supervisors; Work environment; Working conditions; Workplace
• ISSN: 1351-0711; 1470-7926
• DOI: 10.1136/oemed-2022-108220

ObjectiveHealthcare workers (HCWs) are at high risk of experiencing stress and fatigue due to the demands of their work within hospitals. Improving their physical and mental health and, in turn, the quality and safety of care requires considering factors at both individual and organisational/ward levels. Using a multicentre prospective cohort, this study aims to identify the individual and organisational predictors of stress and fatigue of HCWs in several wards from university hospitals.MethodsOur cohort consists of 695 HCWs from 32 hospital wards drawn at random within four volunteer hospital centres in Paris-area. Three-level longitudinal analyses, accounting for repeated measures (level 1) across participants (level 2) nested within wards (level 3) and adjusted for relevant fixed and time-varying confounders, were performed.ResultsAt baseline, the sample was composed by 384 registered nurses, 300 auxiliary nurses and 11 midwives. According to the three-level longitudinal models, some predictors were found in common for both stress and fatigue (low social support from supervisors, work overcommitment, sickness presenteeism and number of beds per ward). However, specific predictors for high level of stress (negative life events, low social support from colleagues and breaks frequently cancelled due to work overload) and fatigue (longer commuting duration, frequent use of interim staff in the ward) were also found.ConclusionOur results may help identify at-risk HCWs and wards, where interventions to reduce stress and fatigue should be focused. These interventions could include manager training to favour better staff support and overall safety culture of HCWs.