ArticleDementia (London, England)2026
Developing a Novel Digital Tool for Personalised Antipsychotic Prescribing in People Living With Dementia: The Views of Australian Clinicians.
Article in Dementia (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
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
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Optimising antipsychotic prescribing in people living with dementia is important to manage symptoms and avoid adverse events. Clinical decision support tools that predict therapeutic response based on individual patient characteristics can help personalise prescribing and complement decision-making by prescribers. The aim of this study is to investigate the views of Australian prescribers on the development and use of a digital antipsychotic prescribing support tool in dementia. Thematic analysis was used to analyse the perspectives of Australian prescribers on using a digital prescribing support tool in dementia. Semi-structured, individual interviews were conducted with a sample of 14 clinicians. Themes were organised according to topic areas about the development and use of the tool. Clinicians expressed that the tool could assist in
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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.