A review of inpatient nursing workload measures.

Racy, S; Davidson, PM; Peeler, A; Hager, DN; Street, L; Koirala, B

A review of inpatient nursing workload measures.

Racy, S Davidson, PM Peeler, A Hager, DN Street, L Koirala, B

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Publisher:: Wiley
Publication Type:: Journal Article
Citation:: Journal of clinical nursing, 2021, 30, (13-14), pp. 1799-1809
Issue Date:: 2021-07

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Field	Value	Language
dc.contributor.author	Racy, S
dc.contributor.author	Davidson, PM
dc.contributor.author	Peeler, A
dc.contributor.author	Hager, DN
dc.contributor.author	Street, L
dc.contributor.author	Koirala, B
dc.date.accessioned	2021-09-06T03:55:28Z
dc.date.available	2021-01-18
dc.date.available	2021-09-06T03:55:28Z
dc.date.issued	2021-07
dc.identifier.citation	Journal of clinical nursing, 2021, 30, (13-14), pp. 1799-1809
dc.identifier.issn	0962-1067
dc.identifier.issn	1365-2702
dc.identifier.uri	http://hdl.handle.net/10453/150351
dc.description.abstract	Fiscal constraints, an ageing populations and the increasing burden of chronic conditions are stressing health systems internationally. Nurses are the linchpin of effective healthcare delivery and their success is dependent on adequate staffing models, which must align knowledge, skills and competencies with workload. Objectives: To compare measures of nursing workload in adult inpatient settings. Design, data sources and review method: A review of published studies characterising nursing workload measures was undertaken. Databases-PubMed and CINHAL-were used to identify published studies. A description of the psychometric properties of each measure and its use in an inpatient setting was required for inclusion. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement was used to guide and report the review. Results: Of the 1,422 studies identified, 15 met the inclusion criteria. Nursing workload was measured in the intermediate care unit (n = 6), overall hospital (n = 7), emergency department (n = 1) and burn unit (n = 1) settings and also by mailed survey (n = 1). Eleven different workload measures were identified. The National Aeronautics and Space Administration Task Load Index (n = 3), Therapeutic Intervention Scoring System (n = 3) and Nursing Activities Score (n = 2) were the most common nursing workload measures identified with reported psychometric properties. Conclusion: Researchers, clinicians and hospital administrators should carefully identify and assess the psychometric properties of nursing workload measures before using these in routine practice. Relevance to clinical practice: Gaining a consensus on effective nursing workload measures is a crucial step in designing appropriate staffing models and policies, improving nurse productivity and well-being, as well as enhancing patient health outcomes in inpatient settings.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Wiley
dc.relation.ispartof	Journal of clinical nursing
dc.relation.isbasedon	10.1111/jocn.15676
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	1110 Nursing, 1117 Public Health and Health Services, 1701 Psychology
dc.subject.classification	Nursing
dc.subject.mesh	Adult
dc.subject.mesh	Hospitals
dc.subject.mesh	Humans
dc.subject.mesh	Inpatients
dc.subject.mesh	Nursing Staff, Hospital
dc.subject.mesh	Personnel Staffing and Scheduling
dc.subject.mesh	Workforce
dc.subject.mesh	Workload
dc.subject.mesh	Humans
dc.subject.mesh	Adult
dc.subject.mesh	Nursing Staff, Hospital
dc.subject.mesh	Inpatients
dc.subject.mesh	Hospitals
dc.subject.mesh	Personnel Staffing and Scheduling
dc.subject.mesh	Workload
dc.subject.mesh	Workforce
dc.subject.mesh	Adult
dc.subject.mesh	Hospitals
dc.subject.mesh	Humans
dc.subject.mesh	Inpatients
dc.subject.mesh	Nursing Staff, Hospital
dc.subject.mesh	Personnel Staffing and Scheduling
dc.subject.mesh	Workforce
dc.subject.mesh	Workload
dc.title	A review of inpatient nursing workload measures.
dc.type	Journal Article
utslib.citation.volume	30
utslib.location.activity	England
utslib.for	1110 Nursing
utslib.for	1117 Public Health and Health Services
utslib.for	1701 Psychology
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2021-09-06T03:55:27Z
pubs.issue	13-14
pubs.publication-status	Published
pubs.volume	30
utslib.citation.issue	13-14

Abstract:

Fiscal constraints, an ageing populations and the increasing burden of chronic conditions are stressing health systems internationally. Nurses are the linchpin of effective healthcare delivery and their success is dependent on adequate staffing models, which must align knowledge, skills and competencies with workload. Objectives: To compare measures of nursing workload in adult inpatient settings. Design, data sources and review method: A review of published studies characterising nursing workload measures was undertaken. Databases-PubMed and CINHAL-were used to identify published studies. A description of the psychometric properties of each measure and its use in an inpatient setting was required for inclusion. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement was used to guide and report the review. Results: Of the 1,422 studies identified, 15 met the inclusion criteria. Nursing workload was measured in the intermediate care unit (n = 6), overall hospital (n = 7), emergency department (n = 1) and burn unit (n = 1) settings and also by mailed survey (n = 1). Eleven different workload measures were identified. The National Aeronautics and Space Administration Task Load Index (n = 3), Therapeutic Intervention Scoring System (n = 3) and Nursing Activities Score (n = 2) were the most common nursing workload measures identified with reported psychometric properties. Conclusion: Researchers, clinicians and hospital administrators should carefully identify and assess the psychometric properties of nursing workload measures before using these in routine practice. Relevance to clinical practice: Gaining a consensus on effective nursing workload measures is a crucial step in designing appropriate staffing models and policies, improving nurse productivity and well-being, as well as enhancing patient health outcomes in inpatient settings.

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http://hdl.handle.net/10453/150351