Evidence map›Paper›PMID 38457802›Full record

ArticleJMIR nursing2024

Technology-Supported Guidance Models to Stimulate Nursing Students' Self-Efficacy in Clinical Practice: Scoping Review.

Paula Bresolin, Simen A Steindal, Hanne Maria Bingen, Jaroslav Zlamal, Jussara Gue Martini, Eline Kaupang Petersen, Andréa Aparecida Gonçalves Nes

Open access · goldAbstract readScoping Review
In one paragraph

Article in JMIR nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
6.3field-weighted citation impact, top 5% 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

6 citing papers in PubMed, 3 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

7 authors at 2 institutions in 2 countries.

Paula Bresolin *Federal University of Santa Catarina, Santa Catarina, Brazil.ORCID 0000-0003-2698-854X
Simen A SteindalVID Specialized University, Oslo, Norway.ORCID 0000-0002-7676-8900
Hanne Maria BingenLovisenberg Diacinal University College, Oslo, Norway.ORCID 0000-0003-2605-8828
Jaroslav ZlamalLovisenberg Diacinal University College, Oslo, Norway.ORCID 0000-0002-7083-3433
Jussara Gue MartiniFederal University of Santa Catarina, Santa Catarina, Brazil.ORCID 0000-0003-2629-293X
Eline Kaupang PetersenLovisenberg Diacinal University College, Oslo, Norway.ORCID 0000-0002-6428-1089
Andréa Aparecida Gonçalves Nes *Lovisenberg Diacinal University College, Oslo, Norway.ORCID 0000-0003-0684-1401
Lovisenberg Diakonale Høgskole · NOUniversidade Federal de Santa Catarina · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn nursing education, bridging the gap between theoretical knowledge and practical skills is crucial for developing competence in clinical practice. Nursing students encounter challenges in acquiring these essential skills, making self-efficacy a critical component in their professional development. Self-efficacy pertains to individual's belief in their ability to perform tasks and overcome challenges, with significant implications for clinical skills acquisition and academic success. Previous research has underscored the strong link between nursing students' self-efficacy and their clinical competence. Technology has emerged as a promising tool to enhance self-efficacy by enabling personalized learning experiences and in-depth discussions. However, there is a need for a comprehensive literature review to assess the existing body of knowledge and identify research gaps.

objectiveThe aim of this study is to systematically map and identify gaps in published studies on the use of technology-supported guidance models to stimulate nursing students' self-efficacy in clinical practice.

methodsThis scoping review followed the framework of Arksey and O'Malley and was reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Scoping Reviews (PRISMA-ScR). A systematic, comprehensive literature search was conducted in ERIC, CINAHL, MEDLINE, Embase, PsycINFO, and Web of Science for studies published between January 2011 and April 2023. The reference lists of the included papers were manually searched to identify additional studies. Pairs of authors screened the papers, assessed eligibility, and extracted the data. The data were thematically organized.

resultsA total of 8 studies were included and four thematic groups were identified: (1) technological solutions for learning support, (2) learning focus in clinical practice, (3) teaching strategies and theoretical approaches for self-efficacy, and (4) assessment of self-efficacy and complementary outcomes.

conclusionsVarious technological solutions were adopted in the guidance models to stimulate the self-efficacy of nursing students in clinical practice, leading to positive findings. A total of 7 out of 8 studies presented results that were not statistically significant, highlighting the need for further refinement of the applied interventions. Nurse educators play a pivotal role in applying learning strategies and theoretical approaches to enhance nursing students' self-efficacy, but the contributions of nurse preceptors and peers should not be overlooked. Future studies should consider involving users in the intervention process and using validated instruments tailored to the studies' intervention objectives, ensuring relevance and enabling comparisons across studies.

Indexed as

allied healthCINAHLclinical practicedigital healtheducationguidanceguidance modelMEDLINEmobile phonemodelmodelsnursenursesnursingnursing educationpracticalreviewreview methodologyreview methodsscopingsearchsearchessearchingself-efficacystudentstudentssynthesistechnologytechnology enhancedTechnology Enhanced Learning

Identifiers

PMID38457802
PMCPMC10960213
OpenAlexW4391916423

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.