Evidence map›Paper›PMID 42366159›Full record

ArticleEarly intervention in psychiatry2026

Mobile Technology for Real-Life Assessment of Positive and Negative Symptoms as well as Stress Among Individuals With Early Psychosis: A Scoping Review.

Azusa Ishii, Keisuke Takano, Chihiro Moriishi, Alexander MacLellan, Kenta Kimura

Abstract readScoping Review
In one paragraph

Article in Early intervention in 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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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

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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

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5 · Who and what money

Authors and funding

5 authors.

Azusa IshiiGraduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Keisuke TakanoNational Institute of Advanced Industrial Science and Technology, Tsukuba, Ibaraki, Japan.
Chihiro MoriishiNational Institute of Advanced Industrial Science and Technology, Tsukuba, Ibaraki, Japan.
Alexander MacLellanNational Institute of Advanced Industrial Science and Technology, Tsukuba, Ibaraki, Japan.
Kenta KimuraFaculty of Letters Department of Psychology, Hosei University, Chiyoda, Tokyo, Japan.

Funding

AIST Innovation School program of National Institute of Advanced Industrial and Science Technology
6 · The paper itself

Abstract

aimThis scoping review aimed to systematically provide an overview of existing findings on the use of ecological momentary assessment (EMA) and related mobile sensing to assess positive and negative symptoms, as well as stress, in individuals at clinical high risk for psychosis (CHR-P) and those with first-episode psychosis (FEP).

methodsFollowing the PRISMA-ScR guidelines, PubMed, PsycINFO, and Web of Science were searched for empirical studies published up to October 2025. Eligible studies assessed positive and negative symptoms and stress in daily life using EMA or related mobile sensing implemented on contemporary devices. Data were extracted on study characteristics, EMA design (sampling schedule, prompting logic, duration, completion rates), and domains assessed and were summarised descriptively.

resultsTen studies (14 records) met the inclusion criteria. Most used smartphone-based EMA with semi-random prompts 4-10 times daily over 6-28 days. Six assessed positive symptoms, three negative symptoms and two stress. Symptoms were all assessed through self-report EMA, while stress was assessed through self-report EMA in one study and objectively through skin conductance in one. The reporting of completion, item validity, and incentive structure was inconsistent, limiting comparability across studies.

conclusionsSelf-report EMA offers a feasible method for real-world assessment of symptoms and stress; however, mobile sensing remains underutilised. IMPLICATIONS: Future research should integrate EMA and related mobile sensing, employ validated indicators and standardise reporting practises to enhance methodological transparency and clinical utility.

Indexed as

Ecological Momentary AssessmentMobile ApplicationsPsychotic DisordersStress, PsychologicalHumansSmartphoneclinical high risk for psychosisdigital phenotypingearly psychosisecological momentary assessmentfirst‐episode psychosismobile sensingscoping review

Identifiers

PMID42366159
PMCPMC13349523

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