ReviewSchizophrenia bulletin2025
From Idealist to Realist-Designing and Implementing Shared Decision-Making Interventions in the Choice of Antipsychotic Prescription in People Living with Psychosis (SHAPE): A Realist Review.
Review in Schizophrenia bulletin, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Clozapine prescribing in treatment-resistant schizophrenia - an updated systematic literature review of barriers and facilitators among clinicians.European journal of clinical pharmacology · 2026Pooled it
- From Idealist to Realist-Designing and Implementing Shared Decision-Making Interventions in the Choice of Antipsychotic Prescription in People Living with Psychosis (SHAPE): A Realist Review.Schizophrenia bulletin · 2025Review
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
backgroundShared decision-making (SDM) implementation remains limited in psychosis management, particularly within antipsychotic prescribing. When and why prescribers engage in SDM within these contexts is largely unknown. Part 1 of this two-part realist review aimed to understand the impact of structural and contextual factors on prescriber engagement in SDM within antipsychotic prescribing. STUDY
designCINAHL Plus, Cochrane Library, Embase, PsycINFO, PubMed, Scopus, Sociological Abstracts, Web of Science, and Google Scholar were searched for evidence to develop realist program theories outlining the relationship between macro-level contexts and their impact on prescriber behaviors. STUDY
resultsFrom 106 included documents, five program theories explaining relationships between (i) leadership and governance, (ii) workforce development, and (iii) service delivery contexts and their impact on reducing prescriber engagement with behaviors required of SDM application were developed. No facilitative macro-level contexts were identified. Key mechanisms reducing prescriber engagement in desired behaviors include fear of individual blame for adverse outcomes and exposure to liability, pressure from service environments to prioritize decreasing risk of harm, devaluing of experiential knowledge, and beliefs that SDM conflicts with duties of beneficence and non-maleficence.
conclusionEven empirically efficacious interventions will be difficult to implement at scale within real-world settings due to misalignment with complex cultural, legal, and professional realities prominent therein. Mechanisms responsible for reducing prescriber engagement in SDM should be the target of structural interventions necessary to support contextual integration into psychosis management. Part 2 outlines features of service delivery contexts, workforce development, and technology that can increase prescriber engagement in SDM.
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.