ArticleSAGE open nursing
Implementing Peer Learning in Clinical Nursing Education: Addressing Challenges in High-Pressure Healthcare Systems-An Interview Study.
Article in SAGE open nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The trial behind it
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Who cites it
1 citing paper in PubMed.
- Factors Influencing Clinical Reasoning Among Clinical Nurses: An Integrative Review Using the Decision-Making Ecology Model.Journal of nursing management · 2026Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Peer learning is an educational strategy used in clinical training for nursing students that has proven to be beneficial for both students and supervisors. Objective: This study aimed to describe the perceptions and experiences of first-line managers, clinical supervisors, and educators in nursing with peer learning (PL) as a supervision model. It also aimed to describe the implementation process, focusing on key factors and obstacles to successful implementation in healthcare systems facing pressure from registered nurse (RN) shortages. Method: This qualitative descriptive interview study involved individual and focus group interviews with 20 participants from three groups: first-line managers, clinical supervisors, and educators in nursing. Interviews were analyzed using deductive content analysis, guided by the i-PARIHS framework. Results: While PL improved supervision quality, adaptability, and recruitment opportunities, it required active engagement from staff and students, and ongoing collaboration with the university. Experienced challenges were students with varying competence levels and inadequate continuity due to the shortage of RNs. Participants found the introductory activities and scheduled meetings valuable but faced challenges related to time allocation and a lack of RNs to act as clinical supervisors. Conclusion: Despite PL's benefits, the RN shortage hinders its implementation, necessitating the development of flexible models that can be implemented despite the shortage.
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Registered trials
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