Evidence map›Paper›PMID 40405548›Full record

ArticleBJPsych bulletin2025

Natural language processing application to identify covert administration of medicines: development and pilot audit.

Ninoslav Majkic, Jyoti Sanyal, Robert Stewart, Nicola Funnell, Delia Bishara

Abstract read
In one paragraph

Article in BJPsych bulletin, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ninoslav MajkicSouth London and Maudsley NHS Foundation Trust, London, UK.ORCID https://orcid.org/0000-0003-2459-2971
Jyoti SanyalCentre for Translational Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Robert StewartMental Health for Older Adults and Dementia Clinical Academic Group, South London and Maudsley NHS Foundation Trust, London, UK.ORCID https://orcid.org/0000-0002-4435-6397
Nicola FunnellMental Health for Older Adults and Dementia Clinical Academic Group, South London and Maudsley NHS Foundation Trust, London, UK.
Delia BisharaMental Health for Older Adults and Dementia Clinical Academic Group, South London and Maudsley NHS Foundation Trust, London, UK.ORCID https://orcid.org/0000-0002-6254-2054

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AIMS AND

methodThe covert administration of medicines is associated with multiple legal and ethical issues. We aimed to develop a natural language processing (NLP) methodology to identify instances of covert administration from electronic mental health records. We used this NLP method to pilot an audit of the use of covert administration.

resultsWe developed a method that was able to identify covert administration through free-text searching with a precision of 72%. Pilot audit results showed that 95% of patients receiving covert administration ( CLINICAL IMPLICATIONS: We demonstrate a simple, readily deployable NLP method that has potential wider applicability to other areas. This method also has potential to be applied via real-time health record processing to prompt and facilitate active monitoring of covert administration of medicines.

Indexed as

Consent and capacitydementias/neurodegenerative diseaseshealth informaticsnatural language processingold age psychiatry

Identifiers

PMID40405548
PMCPMC13150494

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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 Socratic graph.