Evidence map›Paper›PMID 40240956›Full record

Trial reportBMC psychiatry2025

Early psychosis service user views on digital remote monitoring: a qualitative study.

Sarah Trelfa, Natalie Berry, Xiaolong Zhang, Shôn Lewis, John Ainsworth, Katherine Berry, Dawn Edge, Gillian Haddock, Rohan Morris, Sandra Bucci

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

10 authors.

Sarah TrelfaDivision of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, 2ndFloor, Zochonis Building, Brunswick Street, Manchester, M13 9PL, UK.
Natalie BerryDivision of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, 2ndFloor, Zochonis Building, Brunswick Street, Manchester, M13 9PL, UK.
Xiaolong ZhangDivision of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, 2ndFloor, Zochonis Building, Brunswick Street, Manchester, M13 9PL, UK.
Shôn LewisDivision of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, 2ndFloor, Zochonis Building, Brunswick Street, Manchester, M13 9PL, UK.
John AinsworthDivision of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, 2ndFloor, Zochonis Building, Brunswick Street, Manchester, M13 9PL, UK.
Katherine BerryDivision of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, 2ndFloor, Zochonis Building, Brunswick Street, Manchester, M13 9PL, UK.
Dawn EdgeDivision of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, 2ndFloor, Zochonis Building, Brunswick Street, Manchester, M13 9PL, UK.
Gillian HaddockDivision of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, 2ndFloor, Zochonis Building, Brunswick Street, Manchester, M13 9PL, UK.
Rohan MorrisDivision of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, 2ndFloor, Zochonis Building, Brunswick Street, Manchester, M13 9PL, UK.
Sandra BucciDivision of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, 2ndFloor, Zochonis Building, Brunswick Street, Manchester, M13 9PL, UK. Sandra.bucci@manchester.ac.uk.

Funding

Manchester Biomedical Research Centre NIHR203308Medical Research Council MR/P026664/1National Institute for Health and Care Research NIHR300794
6 · The paper itself

Abstract

backgroundCurrent approaches to mental healthcare for people with severe mental health problems are limited by sporadic monitoring and symptom recall bias. Emotional and behavioural markers generated by digital health technologies (DHTs) offer the potential to enhance quality of care and clinical decision-making. This study explored early psychosis service users' views and experiences of using a digital remote monitoring tool (ClinTouch app).

methodsQualitative framework analysis was undertaken with interview data collected from participants who took part in the Actissist proof-of-concept and subsequent randomised controlled trial studies to understand the experiences of participants using the ClinTouch app (n = 8).

resultsData were summarised into four key themes. The following three themes were established a priori: (1) awareness of mood and symptoms; (2) acceptability of ClinTouch; and (3) improvements and recommendations. The fourth theme was established a posteriori: (4) integrating ClinTouch into clinical practice. More specifically, participants felt ClinTouch was an acceptable and useful tool for symptom monitoring. ClinTouch facilitated an increased awareness of mood and symptoms, which enabled participants to self-reflect and develop understanding of their own experiences.

conclusionsThis study shed light on early psychosis service users' experiences with using the ClinTouch digital remote monitoring app. ClinTouch was viewed as acceptable for monitoring symptoms, safe and easy to use, showed potential of integration with clinical care, and facilitated increased awareness and understanding of symptoms. Improvements including personalised question items and interactive features were suggested. Future developments of digital remote monitoring apps should include a more refined item set and personalisation features. CLINICAL TRIAL NUMBER: ISRCTN34966555, Registration Date: 12/06/2014; ISRCTN76986679, Registration Date: 07/02/2018.

Indexed as

Mobile ApplicationsPsychotic DisordersAdultFemaleHumansMaleMental Health ServicesMiddle AgedPatient Acceptance of Health CareQualitative ResearchTelemedicineYoung AdultDigital remote monitoringFramework analysisPsychosisQualitative study

Identifiers

PMID40240956
PMCPMC12004715

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.