Evidence map›Paper›PMID 39919292›Full record

ArticleJMIR human factors2025

The Safety of Digital Mental Health Interventions: Findings and Recommendations From a Qualitative Study Exploring Users' Experiences, Concerns, and Suggestions.

Rayan Taher, Daniel Stahl, Sukhi Shergill, Jenny Yiend

Abstract read
In one paragraph

Article in JMIR human factors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

4 authors.

Rayan TaherDepartment of Psychosis Studies, King's College London, London, United Kingdom.ORCID 0000-0001-8592-527X
Daniel StahlDepartment of Biostatistics and Health Informatics, King's College London, London, United Kingdom.ORCID 0000-0001-7987-6619
Sukhi ShergillDepartment of Psychosis Studies, King's College London, London, United Kingdom.ORCID 0000-0003-4928-9100
Jenny YiendDepartment of Psychosis Studies, King's College London, London, United Kingdom.ORCID 0000-0002-1967-6292

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe literature around the safety of digital mental health interventions (DMHIs) is growing. However, the user/patient perspective is still absent from it. Understanding the user/patient perspective can ensure that professionals address issues that are significant to users/patients and help direct future research in the field.

objectiveThis qualitative study aims to explore DMHI users' experiences, views, concerns, and suggestions regarding the safety of DMHIs.

methodsWe included individuals aged 18 years old or older, having experience in using a DMHI, and can speak and understand English without the need for a translator. Fifteen individual interviews were conducted. Deductive thematic analysis was used to analyze the data.

resultsThe analysis of the interview transcripts yielded 3 main themes: Nonresponse: A Concern, a Risk, and How Users Mitigate It, Symptom Deterioration and Its Management, and Concerns Around Data Privacy and How to Mitigate Them.

conclusionsThe results of this study led to 7 recommendations on how the safety of DMHIs can be improved: provide "easy access" versions of key information, use "approved by..." badges, anticipate and support deterioration, provide real-time feedback, acknowledge the lack of personalization, responsibly manage access, and provide genuine crisis support. These recommendations arose from users' experiences and suggestions. If implemented, these recommendations can improve the safety of DMHIs and enhance users' experience.

Indexed as

Mental DisordersMental Health ServicesPatient SafetyTelemedicineAdultAgedFemaleHumansMaleMiddle AgedQualitative ResearchYoung Adultdata safetydeteriorationdigital mental healthnonresponsepatient perspectivequalitativerisk mitigationriskssafetyuser perspective

Identifiers

PMID39919292
PMCPMC11845877

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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.