Evidence map›Paper›PMID 42294818›Full record

ArticleJournal of psychiatric and mental health nursing2026

When Care Becomes Digital: Shared Experiences in Psychiatric Nursing-A Phenomenological Study.

Fatih Şahin, Özlem Ulaşoğlu

Abstract read
In one paragraph

Article in Journal of psychiatric and mental health nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Fatih ŞahinDepartment of Nursing, Faculty of Health Sciences, Muş Alparslan University, Mus, Turkey.ORCID https://orcid.org/0000-0002-2642-1263
Özlem UlaşoğluSivas State Hospital, Sivas, Turkey.ORCID https://orcid.org/0009-0002-8100-1744

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis qualitative study explores how digitalisation primarily through electronic health records and digital documentation systems is experienced by psychiatric nurses and patients within a state hospital in eastern Turkey, with particular attention to its perceived influence on professional identity, the therapeutic relationship, and ethical responsibilities. References to artificial intelligence in this paper reflect participants' anticipatory perceptions rather than documented routine AI use in this setting.

methodsUsing a qualitative, phenomenologically informed approach, data were collected from 16 psychiatric nurses and 14 patients in a Turkish state hospital through semi-structured interviews and analysed using Colaizzi's seven-step descriptive phenomenological method.

findingsThe findings suggest separate themes for nurses and patients, followed by three integrated themes reflecting their shared experiences: 'Identity Under the Pressure of Digitalisation: The Silent Rewriting of the Professional Role,' 'The Fragility of the Therapeutic Relationship in Screen-Mediated Care,' and 'The Digital Trust Paradox: Between Privacy, Surveillance, and Responsibility.' Participants described that digitalisation was associated with increased efficiency and professional visibility, while also being experienced as contributing to more structured and technically oriented care practices, perceived reductions in empathic engagement, and concerns related to trust and privacy.

conclusionOverall, the findings suggest that digitalisation in psychiatric nursing is experienced as extending beyond technical efficiency to include changes in how professional identity and therapeutic relationships are perceived. Participants described that digital practices may be experienced as introducing more technical and screen-mediated elements into care, which may be perceived as limiting empathic engagement and aspects of the therapeutic relationship. In addition, participants reported concerns related to digital trust, including issues of privacy, surveillance, and responsibility. Specifically, participants described a perceived shift from relational to technical care, a 'digital trust paradox' in which surveillance and accountability coexist with distrust, and a concern that screen-mediated work distances nurses from the humanistic core of their role. These findings highlight the importance of developing context-sensitive and ethically informed approaches to the use of digital systems, rather than assuming widespread or routine use of artificial intelligence in clinical practice.

Indexed as

Artificial IntelligenceAttitude of Health PersonnelElectronic Health RecordsNurse-Patient RelationsNursing Staff, HospitalPsychiatric NursingAdultDigital HealthFemaleHumansMaleMiddle AgedQualitative ResearchTurkeydigitalisationethicsmental health nursingprofessional identitytherapeutic relationship

Identifiers

PMID42294818
PMCPMC13551161

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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.