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.
- Sprache
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Englisch
- Erschienen in
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Journal: Administrative Sciences ; ISSN: 2076-3387 ; Volume: 7 ; Year: 2017 ; Issue: 1 ; Pages: 1-17 ; Basel: MDPI
- Klassifikation
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Öffentliche Verwaltung
- Thema
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compromised professional nursing standards
interruptions
nurse outcomes
nurse staffing
nursing tasks left undone
nursing workload
patient adverse events
- Ereignis
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Geistige Schöpfung
- (wer)
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MacPhee, Maura
Dahinten, V. Susan
Havaei, Farinaz
- Ereignis
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Veröffentlichung
- (wer)
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MDPI
- (wo)
-
Basel
- (wann)
-
2017
- DOI
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doi:10.3390/admsci7010007
- Handle
- Letzte Aktualisierung
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10.03.2025, 11:42 MEZ
Datenpartner
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Objekttyp
- Artikel
Beteiligte
- MacPhee, Maura
- Dahinten, V. Susan
- Havaei, Farinaz
- MDPI
Entstanden
- 2017
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