Evidence map›Paper›PMID 39348196›Full record

ArticleJMIR mental health2024

Leveraging Personal Technologies in the Treatment of Schizophrenia Spectrum Disorders: Scoping Review.

Jessica D'Arcey, John Torous, Toni-Rose Asuncion, Leah Tackaberry-Giddens, Aqsa Zahid, Mira Ishak, George Foussias, Sean Kidd

Abstract readScoping Review
In one paragraph

Article in JMIR mental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  5. Review
  6. Review
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

8 authors.

Jessica D'ArceySchizophrenia Division, Centre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0000-0003-0446-0007
John TorousDepartment of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.ORCID 0000-0002-5362-7937
Toni-Rose AsuncionSchizophrenia Division, Centre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0009-0001-4238-5266
Leah Tackaberry-GiddensSchizophrenia Division, Centre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0000-0001-5791-774X
Aqsa ZahidSchizophrenia Division, Centre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0000-0001-7272-5789
Mira IshakSchizophrenia Division, Centre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0009-0008-1868-6078
George FoussiasSchizophrenia Division, Centre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0000-0001-6220-519X
Sean KiddSchizophrenia Division, Centre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0000-0002-2435-786X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital mental health is a rapidly growing field with an increasing evidence base due to its potential scalability and impacts on access to mental health care. Further, within underfunded service systems, leveraging personal technologies to deliver or support specialized service delivery has garnered attention as a feasible and cost-effective means of improving access. Digital health relevance has also improved as technology ownership in individuals with schizophrenia has improved and is comparable to that of the general population. However, less digital health research has been conducted in groups with schizophrenia spectrum disorders compared to other mental health conditions, and overall feasibility, efficacy, and clinical integration remain largely unknown.

objectiveThis review aims to describe the available literature investigating the use of personal technologies (ie, phone, computer, tablet, and wearables) to deliver or support specialized care for schizophrenia and examine opportunities and barriers to integrating this technology into care.

methodsGiven the size of this review, we used scoping review methods. We searched 3 major databases with search teams related to schizophrenia spectrum disorders, various personal technologies, and intervention outcomes related to recovery. We included studies from the full spectrum of methodologies, from development papers to implementation trials. Methods and reporting follow the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines.

resultsThis search resulted in 999 studies, which, through review by at least 2 reviewers, included 92 publications. Included studies were published from 2010 to 2023. Most studies examined multitechnology interventions (40/92, 43%) or smartphone apps (25/92, 27%), followed by SMS text messaging (16/92, 17%) and internet-based interventions (11/92, 12%). No studies used wearable technology on its own to deliver an intervention. Regarding the stage of research in the field, the largest number of publications were pilot studies (32/92, 35%), followed by randomized control trials (RCTs; 20/92, 22%), secondary analyses (16/92, 17%), RCT protocols (16/92, 17%), development papers (5/92, 5%), and nonrandomized or quasi-experimental trials (3/92, 3%). Most studies did not report on safety indices (55/92, 60%) or privacy precautions (64/92, 70%). Included studies tend to report consistent positive user feedback regarding the usability, acceptability, and satisfaction with technology; however, engagement metrics are highly variable and report mixed outcomes. Furthermore, efficacy at both the pilot and RCT levels report mixed findings on primary outcomes.

conclusionsOverall, the findings of this review highlight the discrepancy between the high levels of acceptability and usability of these digital interventions, mixed efficacy results, and difficulties with sustained engagement. The discussion highlights common patterns that may underscore this observation in the field; however, as this was a scoping review, a more in-depth systematic review or meta-analysis may be required to better understand the trends outlined in this review.

Indexed as

SchizophreniaTelemedicineHumansWearable Electronic Devicesacceptabilityaccess to specialized resourcescareclinical integrationdatabasedigital healthdigital mental healthefficacyeHealthengagementfeasibilityhealth technologymental healthmental health caremobile phonemood disordermood disordersneurodevelopmentpersonal technologysatisfactionschizophreniaschizophrenia spectrum disorderscoping reviewspecialized caresupporttechnologytexttext messagingusabilityuser feedback

Identifiers

PMID39348196
PMCPMC11474131

What OpenQuestion 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 OpenQuestion graph.