ArticleNursing open2023
Nurse educators' suggestions for a digital educational resource suitable for undergraduate student nurses' placement studies: Qualitative empirical research.
Article in Nursing open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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.
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Who cites it
4 citing papers in PubMed, 14 citations in OpenAlex.
- Factors associated with nursing and midwifery students' satisfaction with the clinical learning environment: a cross-sectional study in Morocco.BMC nursing · 2025Article
- Usefulness of pedagogical design features of a digital educational resource into nursing home placement: a qualitative study of nurse educators' experiences.BMC nursing · 2024Article
- Healthcare Students' Perceptions of the Quality of the Clinical Learning Environment in Morocco: A Cross-Sectional Study.Nursing research and practice · 2024Article
- Nurse educators' suggestions for a digital educational resource suitable for undergraduate student nurses' placement studies: Qualitative empirical research.Nursing open · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsTo explore and describe nurse educators' suggestions regarding a digital educational resource addressing quality in placement studies for first-year student nurses in nursing homes.
designA qualitative, explorative, and descriptive research design.
methodsFocus group interviews with eight nurse educators and individual interviews with six nurse educators. The interviews were audio-recorded and transcribed verbatim; subsequently, data were analysed in lines with content analysis as described by Graneheim and Lundman.
resultsThe analysis revealed three main categories: 'Suggestions for a digital educational resource to strengthen and support nurse educators' role in follow-up students', 'Suggestions for a digital educational resource to complement and support interaction between stakeholders in placement', and 'Suggestions for a digital educational resource to facilitate student nurses' learning processes'. The categories were captured by the overarching theme, 'A digital educational resource facilitating interaction between stakeholders and students' learning processes.
conclusionThis study revealed nurse educators' suggestions regarding design elements, content, and use of a digital educational resource addressing placement studies for first-year student nurses' in nursing homes. Implications for the profession and/or patient care: Nurse educators should be involved in designing, developing, and implementing digital educational resources aiming to support student learning in nursing education placement studies. IMPACT: This study explored nurse educators' suggestions for a digital educational resource. They suggested a digital educational resource to strengthen and support their role, support interaction between stakeholders, and facilitate student nurses' learning processes. Further, they suggested a digital educational resource to be used as a supplement rather than as a replacement for nurse educators' physical presence in placements. REPORTING
methodThe Consolidated Criteria for Reporting Qualitative Research reporting guidelines were used. No Patient or Public Contribution.
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Registered trials
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.