Evidence map›Paper›PMID 35867838›Full record

ReviewJMIR nursing2022

The Impact of Digital Health Transformation Driven by COVID-19 on Nursing Practice: Systematic Literature Review.

Robab Abdolkhani, Sacha Petersen, Ruby Walter, Lin Zhao, Kerryn Butler-Henderson, Karen Livesay

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in JMIR nursing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
10.2field-weighted citation impact, top 1% of its field
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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 53 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Robab Abdolkhani *School of Health and Biomedical Sciences, Science, Technology, Engineering, and Mathematics College, Royal Melbourne Institute of Technology University, Melbourne, Australia.ORCID https://orcid.org/0000-0002-6741-7543
Sacha Petersen *School of Health and Biomedical Sciences, Science, Technology, Engineering, and Mathematics College, Royal Melbourne Institute of Technology University, Melbourne, Australia.ORCID https://orcid.org/0000-0001-9690-4503
Ruby Walter *School of Health and Biomedical Sciences, Science, Technology, Engineering, and Mathematics College, Royal Melbourne Institute of Technology University, Melbourne, Australia.ORCID https://orcid.org/0000-0001-5397-3496
Lin Zhao *School of Health and Biomedical Sciences, Science, Technology, Engineering, and Mathematics College, Royal Melbourne Institute of Technology University, Melbourne, Australia.ORCID https://orcid.org/0000-0001-9734-6080
Kerryn Butler-Henderson *School of Health and Biomedical Sciences, Science, Technology, Engineering, and Mathematics College, Royal Melbourne Institute of Technology University, Melbourne, Australia.ORCID https://orcid.org/0000-0002-6082-2108
Karen Livesay *School of Health and Biomedical Sciences, Science, Technology, Engineering, and Mathematics College, Royal Melbourne Institute of Technology University, Melbourne, Australia.ORCID https://orcid.org/0000-0002-6837-8005
RMIT University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has accelerated the uptake of digital health innovations due to the availability of various technologies and the urgent health care need for treatment and prevention. Although numerous studies have investigated digital health adoption and the associated challenges and strategies during the pandemic, there is a lack of evidence on the impact on the nursing workforce.

objectiveThis study aims to identify the impact of digital health transformation driven by COVID-19 on nurses.

methodsThe online software Covidence was used to follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol. Relevant scientific health and computing databases were searched for papers published from January 2020 to November 2021. Using the 8D sociotechnical approach for digital health in health care systems, the papers were analyzed to identify gaps in applying digital health in nursing practice.

resultsIn total, 21 papers were selected for content analysis. The analysis identified a paucity of research that quantifies the impact of the digital health transformation on nurses during the pandemic. Most of the initiatives were teleconsultation, followed by tele-intensive care unit (tele-ICU), and only 1 (5%) study explored electronic medical record (EMR) systems. Among the sociotechnical elements, the human-related factor was the most explored and the system measurement was the least studied item.

conclusionsThe review identified a significant gap in research on how implementing digital health solutions has impacted nurses during the COVID-19 pandemic. This gap needs to be addressed by further research to provide strategies for empowering the nursing workforce to be actively involved in digital health design, development, implementation, use, and evaluation.

Indexed as

COVID-19 pandemicdigital healthnursing informaticsnursing workforce

Identifiers

PMID35867838
PMCPMC9431991
OpenAlexW4283787260

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.