Evidence map›Paper›PMID 40560456›Full record

ArticleAnnals of biomedical engineering2025

A Survey of Preferences for Sensing Technologies in People with Severe Mental Illness Admitted to an Acute Psychiatric Unit.

Alvaro Barrera, Ana Ghenciulescu, Niamh Owens, Ariana Cortez, Riccardo De Giorgi, Phil Cowen, Jeroen Bergmann

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Alvaro BarreraDepartment of Psychiatry, Oxford University, Oxford, OX3 7JX, UK. Alvaro.Barrera@psych.ox.ac.uk.ORCID http://orcid.org/0000-0003-4716-8487
Ana GhenciulescuDepartment of Psychiatry, Oxford University, Oxford, OX3 7JX, UK.ORCID http://orcid.org/0000-0001-5583-8300
Niamh OwensMedical Sciences Office, John Radcliffe Hospital, Headley Way, Headington, Oxford, OX3 9DU, UK.ORCID http://orcid.org/0000-0003-0618-3904
Ariana CortezDepartment of Research & Development, Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, OX3 7JX, UK.ORCID http://orcid.org/0009-0007-3260-9215
Riccardo De GiorgiDepartment of Psychiatry, Oxford University, Oxford, OX3 7JX, UK.ORCID http://orcid.org/0000-0001-5984-8696
Phil CowenDepartment of Psychiatry, Oxford University, Oxford, OX3 7JX, UK.ORCID http://orcid.org/0000-0001-5518-6138
Jeroen BergmannDepartment of Technology & Innovation, University of Southern Denmark, Odense, Denmark.ORCID http://orcid.org/0000-0001-7306-2630

Funding

Biotechnology and Biological Sciences Research Council UKRI012National Institute for Health and Care Research NIHR205287
6 · The paper itself

Abstract

purposeThis study presents the views of patients admitted to an adult acute mental health unit due to an acute episode of severe mental illness, mainly of a psychotic nature, regarding sensing technology.

methodsOne hundred and twenty five adult inpatients were approached; 31 patients declined to participate whilst eleven patients were missed due to having been discharged from hospital or transferred to a different unit. Eighty three patients consented to participate and were administered a survey, previously validated in people with arthritis and other physical health conditions, about their preferences regarding sensing technology. The participants' clinical presentation was characterised using standard clinical instruments.

resultsNinety percent of participants were on antipsychotic medication and 78% were detained in hospital under the Mental Health Act 1983 of England and Wales. 67.9% exhibited elevated levels of ideas of reference and 61.7% presented a clinical level of persecutory delusions. Patients' views about wearable digital technology were broadly positive and similar to those previously provided by people with arthritis and physical health conditions, with some specific differences. For example, they agreed to wear a device that is visible to others but less so to wearing one that is concealed in their clothing or implanted or for 24 h monitoring with the data being sent away, analysed or stored.

conclusionThis study shows that those who are in the middle of an acute and severe episode of mental ill health are open to using sensing technology, with some specific requirements that would increase the uptake within this patient population. This research shows that this currently underserved patient population has a positive view with regards to sensing technology for healthcare purposes. These findings can inform the design of new wearable systems, which can address the unmet needs in this clinical domain.

Indexed as

Mental DisordersPatient PreferenceWearable Electronic DevicesAdultAgedFemaleHumansMaleMiddle AgedSurveys and QuestionnairesBody sensor systemsInnovationPatients’ preferencesPersecutory delusionsSensorsTechnology

Identifiers

PMID40560456
PMCPMC12391236

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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 OpenQuestion graph.