Artikel

The impact of heavy perceived nurse workloads on patient and nurse outcomes

This study investigated the relationships between seven workload factors and patient and nurse outcomes. (1) Background: Health systems researchers are beginning to address nurses' workload demands at different unit, job and task levels; and the types of administrative interventions needed for specific workload demands. (2) Methods: This was a cross-sectional correlational study of 472 acute care nurses from British Columbia, Canada. The workload factors included nurse reports of unit-level RN staffing levels and patient acuity and patient dependency; job-level nurse perceptions of heavy workloads, nursing tasks left undone and compromised standards; and task-level interruptions to work flow. Patient outcomes were nurse-reported frequencies of medication errors, patient falls and urinary tract infections; and nurse outcomes were emotional exhaustion and job satisfaction. (3) Results: Job-level perceptions of heavy workloads and task-level interruptions had significant direct effects on patient and nurse outcomes. Tasks left undone mediated the relationships between heavy workloads and nurse and patient outcomes; and between interruptions and nurse and patient outcomes. Compromised professional nursing standards mediated the relationships between heavy workloads and nurse outcomes; and between interruptions and nurse outcomes. (4) Conclusion: Administrators should work collaboratively with nurses to identify work environment strategies that ameliorate workload demands at different levels.

Language
Englisch

Bibliographic citation
Journal: Administrative Sciences ; ISSN: 2076-3387 ; Volume: 7 ; Year: 2017 ; Issue: 1 ; Pages: 1-17 ; Basel: MDPI

Classification
Öffentliche Verwaltung
Subject
compromised professional nursing standards
interruptions
nurse outcomes
nurse staffing
nursing tasks left undone
nursing workload
patient adverse events

Event
Geistige Schöpfung
(who)
MacPhee, Maura
Dahinten, V. Susan
Havaei, Farinaz
Event
Veröffentlichung
(who)
MDPI
(where)
Basel
(when)
2017

DOI
doi:10.3390/admsci7010007
Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • MacPhee, Maura
  • Dahinten, V. Susan
  • Havaei, Farinaz
  • MDPI

Time of origin

  • 2017

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