ArticleFrontiers in psychiatry2026
Implementing shared decision-making for hospitalized patients with schizophrenia: a qualitative study of nurse and patient perspectives.
Article in Frontiers in psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Shared decision-making (SDM) is fundamental to person-centered psychiatry, yet its implementation in schizophrenia care remains limited and poorly understood. Existing research predominantly examines SDM from either healthcare provider or patient perspectives, overlooking the integrated perspectives from both sides within clinical settings. Objective: To explore shared decision-making experiences in inpatient schizophrenia care from the integrated perspectives of nurses and patients on the same clinical unit. Methods: A phenomenological qualitative study was conducted in a tertiary psychiatric hospital in Jiangsu Province, China. Semi-structured interviews were conducted with 12 psychiatric nurses and 12 inpatients with schizophrenia between April and December 2024. Data were analyzed using Colaizzi's seven-step phenomenological analysis framework. Results: Both nurses and patients recognized the value of SDM, yet implementation encountered multidimensional barriers. Four interconnected themes emerged (1): Perceptions of SDM and role positioning-nurses recognized the value of SDM and assumed multiple facilitator roles, while patients' perceived capacity for participation fluctuated with clinical status, requiring dynamic assessment and progressive engagement; (2) Attitudes and trust relationships influencing SDM implementation-nurses displayed diverse attitudes ranging from proactive support to explicit opposition, while trust between clinicians and patients was identified as the cornerstone of effective SDM; (3) Practical challenges in SDM implementation-clinical and ethical complexities, compounded by ineffective information communication, created significant barriers to SDM; and (4) Internal and external support systems affecting SDM-family involvement exerted dual influences of facilitation and paternalistic substitution, while pervasive social stigma further hindered patient participation. Conclusions: Implementing SDM in schizophrenia care is a systematic endeavor shaped by the interplay of conceptual, relational, communicative, and contextual factors. Advancing patient-centered psychiatry requires a dual transformation: empowering nurses as skilled facilitators while actively activating patients as central participants, supported by trust-based relationships, tailored information tools, and integrated family-social resources.
Indexed as
Identifiers
What OpenQuestion holds
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.