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Decoding Nursing Job Demands: A Multicenter Cross-Sectional Descriptive Study Assessing Nursing Workload in Hospital Medical-Surgical Wards

Authors :
Dhurata Ivziku PhD, RN
Raffaella Gualandi PhD, RN
Federica Maria Pia Ferramosca PhD, RN
Marzia Lommi PhD, RN
Maria Ymelda Tolentino Diaz PhD, RN
Barbara Raffaele PhD, RN
Graziella Montini MNS, RN
Barbara Porcelli MNS, RN
Alessandro Stievano PhD, RN
Gennaro Rocco PhD, RN
Ippolito Notarnicola PhD, RN
Roberto Latina PhD, RN
Anna De Benedictis PhD, RN
Daniela Tartaglini PhD, RN
Source :
SAGE Open Nursing, Vol 10 (2024)
Publication Year :
2024
Publisher :
SAGE Publishing, 2024.

Abstract

Background Nursing workload is largely studied but poorly explored under physical, mental, and emotional dimensions. Currently, only a limited number of variables have been linked to nursing workload and work contexts. Purpose The study aimed to investigate whether it is feasible to identify variables that consistently correlate with nursing workload and others that are specific to the context. Methods We employed a descriptive correlational analysis and a cross-sectional design. Data were collected through a survey distributed to registered nurses working across Italy, at the conclusion of randomly assigned morning or afternoon shifts. Results We received 456 surveys from 195 shifts, collected from nurses in four public and two private hospitals. Commonly associated variables with nursing workload dimensions included patient complexity of care, admission/discharge or transfer, informing patients/relatives, contacting physicians, and unscheduled activities. Variables categorized as setting-specific were patient isolation and specialties, nurse-to-patient ratio, adequacy of staff in the shift, peer collaboration, healthcare documentation, educating others, and medical urgency. Conclusions In summary, certain variables consistently correlate with nursing workload across settings, while others are specific to the context of care. It is imperative for nurses and nurse managers to measure the nursing workload in various dimensions, enabling the prompt implementation of improvement actions.

Subjects

Subjects :
Nursing
RT1-120

Details

Language :
English
ISSN :
23779608
Volume :
10
Database :
Directory of Open Access Journals
Journal :
SAGE Open Nursing
Publication Type :
Academic Journal
Accession number :
edsdoj.41c9262a2a2b479baa12040368e542e8
Document Type :
article
Full Text :
https://doi.org/10.1177/23779608241258564