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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2403.18856 |
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| _version_ | 1866909221985976320 |
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| author | Gharbi, Mohamed Di Mascolo, Maria Verdier, Christine |
| author_facet | Gharbi, Mohamed Di Mascolo, Maria Verdier, Christine |
| contents | For decades, hospital services have been faced with the challenge of ensuring quality care for patients despite the pressures on staff due to workload overload. Nursing staff are particularly affected by this reality, with a patient/nursing staff ratio so imbalanced that it directly affects the quality of care and the well-being of nurses. This article examines in detail the workload of nursing staff, shedding light on the various factors influencing this workload, including the type of care provided, the characteristics of patients and nursing staff, as well as the organizational context. Furthermore, different methods of calculating and estimating workload are analyzed, ranging from workload calculation systems to advanced predictive models. Finally, reflection is made on future research avenues, particularly concerning the identification of factors influencing workload, data collection and processing, and model validation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_18856 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Charge de travail du personnel infirmier dans les h{ô}pitaux -{é}tude bibliographique Gharbi, Mohamed Di Mascolo, Maria Verdier, Christine Physics and Society For decades, hospital services have been faced with the challenge of ensuring quality care for patients despite the pressures on staff due to workload overload. Nursing staff are particularly affected by this reality, with a patient/nursing staff ratio so imbalanced that it directly affects the quality of care and the well-being of nurses. This article examines in detail the workload of nursing staff, shedding light on the various factors influencing this workload, including the type of care provided, the characteristics of patients and nursing staff, as well as the organizational context. Furthermore, different methods of calculating and estimating workload are analyzed, ranging from workload calculation systems to advanced predictive models. Finally, reflection is made on future research avenues, particularly concerning the identification of factors influencing workload, data collection and processing, and model validation. |
| title | Charge de travail du personnel infirmier dans les h{ô}pitaux -{é}tude bibliographique |
| topic | Physics and Society |
| url | https://arxiv.org/abs/2403.18856 |