Evidence map›Paper›PMID 42725870›Full record

ArticleCanadian journal of psychiatry. Revue canadienne de psychiatrie2026

Adherence and Acceptability of Smartphone- and Wearable-Based Digital Phenotyping in Patients With First-Episode Psychosis: Observance et acceptabilité du phénotypage numérique fondé sur les téléphones intelligents et les objets personnels connectés chez les patients présentant un premier épisode de psychose.

Lu Yang, Kate Ross, Mackenzie Palmer, Qiang Ye, David Olson, Sabina Abidi, Jason Morrison, Philip G Tibbo, Jianli Wang

Abstract read
In one paragraph

Article in Canadian journal of psychiatry. Revue canadienne de psychiatrie, 2026. 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

9 authors.

Lu YangDepartment of Community Health and Epidemiology, Faculty of Medicine, Dalhousie University, Halifax, Canada.ORCID 0009-0009-1625-6784
Kate RossDepartment of Community Health and Epidemiology, Faculty of Medicine, Dalhousie University, Halifax, Canada.
Mackenzie PalmerDepartment of Community Health and Epidemiology, Faculty of Medicine, Dalhousie University, Halifax, Canada.ORCID 0009-0009-3987-1843
Qiang YeFaculty of Computer Science, Dalhousie University, Halifax, Canada.
David OlsonDepartment of Psychiatry, Faculty of Medicine, Dalhousie University, Halifax, Canada.
Sabina AbidiDepartment of Psychiatry, Faculty of Medicine, Dalhousie University, Halifax, Canada.
Jason MorrisonDepartment of Psychiatry, Faculty of Medicine, Dalhousie University, Halifax, Canada.ORCID 0000-0003-2871-0330
Philip G TibboDepartment of Psychiatry, Faculty of Medicine, Dalhousie University, Halifax, Canada.
Jianli WangDepartment of Community Health and Epidemiology, Faculty of Medicine, Dalhousie University, Halifax, Canada.ORCID 0000-0002-1329-914X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectiveTo examine adherence to smartphone- and wearable-based digital phenotyping in patients with first-episode psychosis (FEP) and explore stakeholder perspectives on its potential application for outcome prediction.MethodWe conducted a six-day mixed-methods digital phenotyping assessment involving ecological momentary assessment (EMA) via smartphone and passive monitoring using wearable devices. Patients with FEP (aged 12-35) were recruited from the Early Psychosis Intervention Nova Scotia program (

Indexed as

acceptabilityadherencedigital technologymixed-methods researchpsychotic disorder

Identifiers

PMID42725870
PMCPMC13570937

What Socratic holds

Textmetadata
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.