Evidence map›Paper›PMID 41761158›Full record

Observational studyBMC psychiatry2026

Monitoring and evaluation of digital mental health assessments in adults with mild to moderate intellectual disability and concurrent mental illness: a pilot study.

Mohd Faisal, Richard Harris, Niamh Orla Finan, Margaret McCormack, Salvatore Tedesco, Colum Crowe, Alexander P Kanon, Evan Yacoub, Frederic Adam, Gerard Clarke

Abstract readObservational Study
In one paragraph

Observational study in BMC 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.

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0citing papers in PubMed
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1 · What the graph read from 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.

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

10 authors.

Mohd FaisalMental Health of Intellectual Disability (MHID) Service, St Joseph's Health Campus, Mulgrave Street, Limerick, V94 C8DV, Ireland.
Richard HarrisBusiness Information Systems, Cork University Business School, University College Cork, Cork, Ireland.
Niamh Orla FinanBrothers of Charity Services Ireland-West Region, Kilcornan House, Clarinbridge, Co., Galway, Ireland.
Margaret McCormackBrothers of Charity services, Ireland-West region. Lanesboro St, Roscommon, Ireland.
Salvatore TedescoTyndall National Institute, University College Cork, Cork, Ireland.
Colum CroweTyndall National Institute, University College Cork, Cork, Ireland.
Alexander P KanonAPC Microbiome Ireland, University College Cork, Cork, T12 YT20, Ireland.
Evan YacoubPsychiatry of Intellectual Disability, Brothers of Charity Services Galway, Woodlands, Renmore, Galway, Ireland.
Frederic AdamBusiness Information Systems, Cork University Business School, University College Cork, Cork, Ireland.
Gerard ClarkeDepartment of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland. g.clarke@ucc.ie.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeople with intellectual disability (PWID) experience a high incidence of mental illness, and yet there are limited resources available to effectively support their mental health needs. This pilot study aimed to evaluate the use of digital tools to support the assessment and monitoring of mental health–related parameters in adults with mild to moderate intellectual disability and concurrent mental illness. The current clinical practice of mental health assessment partially relies on paper-based recording of symptoms, placing a significant burden on the staff, carers and patients. In this study, we compared existing paper-based recording methods with digital methods for recording mood, anxiety, and sleep and assessed physical activity levels among participants.

methodsIn this observational pilot study, we collected data from 10 participants over a period of seven days. We compared mood and anxiety scores collected via a bespoke smartphone application developed for this study with existing paper-based recordings. The sleep data were collected using a wrist-based wearable Axivity AX3 accelerometer (AX3) and compared with paper-based recordings. Lastly, data on moderate-to-vigorous physical activity (MPVA) was obtained from AX3 and compared against the World Health Organisation (WHO) 2020 recommendations of a total of 150 min of MPVA per week. We applied Wilcoxon signed-rank tests, Spearman correlations, and Bland–Altman plots to assess method differences for exploratory and descriptive purposes.

resultsIn this pilot study, no large discrepancies were observed between mobile app and paper-based mood and anxiety ratings, with exploratory analyses indicating similar score distributions across methods. Comparisons between AX3-derived and paper-based sleep measures showed broadly similar estimates, although discrepancies were noted for longer sleep durations. Physical activity data indicated that most participants did not meet the WHO guideline of 150 min of MVPA per week, suggesting low physical activity levels in PWID.

conclusionThis pilot study assessed some aspects of the feasibility and acceptability of methods and procedures to be used in future larger studies. We provide preliminary evidence that digital tools can be used to collect mood, anxiety, sleep, and physical activity data in a small, highly selected group of adults with mild to moderate intellectual disability and concurrent mental illness. Findings should be interpreted cautiously, given recruitment limitations and the exploratory nature of the analyses. Larger studies with clearly prospectively defined and broader aspects of feasibility, acceptability, usability, and validation of outcomes are required before wider implementation can be considered. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Intellectual DisabilityMental DisordersAccelerometryAdultAffectAnxietyDigital HealthExerciseFemaleHumansMaleMental HealthMiddle AgedPilot ProjectsSleepConnected healthDigital mental healthIntellectual disabilityMental health technologyWearable technology

Identifiers

PMID41761158
PMCPMC13001197

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.