ArticleSAGE open nursing
Developing and Testing Digital Ethical Reflection in Long-Term Care: Nurses' Experiences.
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 6 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
6 citing papers in PubMed, 13 citations in OpenAlex.
- Interventions to Address Moral Distress in Nurses and Other Healthcare Professionals: A Scoping Review and Evidence Gap Map.Healthcare (Basel, Switzerland) · 2026Review
- Nurses' Ethical Competence, Perceived Ethical Climate and Stereotypes of Older Adults: A Cross Sectional Survey.International journal of older people nursing · 2026Article
- Digital ethical reflection in home nursing care: Nurse leaders' and nurses' experiences.Nursing ethics · 2025Article
- Digital ethical reflection in long-term care: Leaders' expectations.Nursing ethics · 2024Article
- Alone and together: registered nurses' experiences of work satisfaction in municipal home healthcare.BMC nursing · 2024Article
- "To Have One Extra Eye": Exploring Professionals' Experiences with Digital Supervision in a Nursing Home for Older People.SAGE open nursingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Nurses working in municipal long-term care face ethical challenges that can lead to moral distress and discomfort for the nurse and affect the quality of patient care. Tools and methods that contribute to increased ethical awareness and support for nurses dealing with moral issues are lacking. Technological innovations may be suitable for ethics work, but little research has been conducted on how such solutions could be designed or their potential benefit. Therefore, this study contributes knowledge about the development and testing of a digital tool for ethics support among nurses. Objective: To investigate how digital ethical reflection can support ethics work among nurses working in long-term care. Methods: A digital ethical reflection tool was designed and tested in nursing homes and home nursing care in collaboration with two Norwegian municipalities. The study used sequential explanatory mixed-methods design. Over a 6-week period, at the end of each shift, nurses digitally reported the ethical challenges they had experienced. Their responses and experiences were described using descriptive statistics. Additionally, focus group interviews were conducted and analyzed using reflexive thematic analysis (TA). Results: During the study period, 17 nurses reported a total of 223 registrations, with 24.8% stating that they had been in an ethically difficult situation. The digital reporting was perceived as practically applicable and helped to increase nurses' awareness of morally charged situations. The value of the registrations was found to depend on manager participation and the application of the obtained information. The participating nurses become aware that they lacked an arena for meaningful dialogue with and recognition from their manager. Conclusions: Information obtained through digital reflection can form the basis for ethical reflections at the departmental level. Digital reflection has the potential to become a tool for managers in their support for employees facing ethical challenges when providing long-term care.
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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.