Evidence map›Paper›PMID 37342268›Full record

ArticleJournal of rehabilitation and assistive technologies engineering

Impacts of Technology Use on the Workload of Registered Nurses: A Scoping Review.

Fatemeh Mohammadnejad, Shannon Freeman, Tammy Klassen-Ross, Dawn Hemingway, Davina Banner

Abstract readScoping Review
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of rehabilitation and assistive technologies engineering. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Fatemeh MohammadnejadSchool of Health Sciences, University of Northern British Columbia, Prince George, BC, Canada.
Shannon FreemanSchool of Nursing, University of Northern British Columbia, Prince George, BC, Canada.ORCID https://orcid.org/0000-0002-8129-6696
Tammy Klassen-RossSchool of Health Sciences, University of Northern British Columbia, Prince George, BC, Canada.
Dawn HemingwaySchool of Social Work, University of Northern British Columbia, Prince George, BC, Canada.
Davina BannerSchool of Nursing, University of Northern British Columbia, Prince George, BC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTechnology is an integral part of healthcare. With the rapid development of technological innovations that inform and support nurses, it is important to assess how these technologies may affect their workload particularly in rural contexts, where the workforce and supports may be limited.

methodsThis literature review guided by Arksey and O'Malley's scoping review framework describes the breadth of technologies which impact on nurses' workload. Five databases (PubMed, CINAHL, PsycInfo, Web of Science, Business Source Complete) were searched. Thirty-five articles met the inclusion criteria. A data matrix was used to organize the findings.

findingsThe technology interventions described in the articles covered diverse topics including: Cognitive care technologies; Healthcare providers' technologies; Communication technologies; E-learning technologies; and Assistive technologies and were categorized as: Digital Information Solutions; Digital Education; Mobile Applications; Virtual Communication; Assistive Devices; and Disease diagnoses groups based on the common features.

conclusionTechnology can play an important role to support nurses working in rural areas, however, not all technologies have the same impact. While some technologies showed evidence to positively impact nursing workload, this was not universal. Technology solutions should be considered on a contextual basis and thought should be given when selecting technologies to support nursing workload.

Indexed as

nursesruralScoping reviewtechnology

Identifiers

PMID37342268
PMCPMC10278405

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.