ArticleJournal of technology in behavioral science2022
Examining Potential Barriers to mHealth Implementation and Engagement in Schizophrenia: Phone Ownership and Symptom Severity.
Article in Journal of technology in behavioral science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed, 19 citations in OpenAlex.
- Establishment and Maintenance of a Digital Therapeutic Alliance in People Living With Negative Symptoms of Schizophrenia: Two Exploratory Single-Arm Studies.JMIR mental health · 2025Trial
- Service Users' Views on Digital Remote Monitoring for Psychosis: Survey Study.JMIR human factors · 2026Article
- Use of Digital Peer Support for Employee Well-Being: Retrospective Analysis Across Five Large Employers.JMIR human factors · 2026Article
- Smartphone Apps and Digital Tools for Managing Schizophrenia and Psychotic Disorders: A Clinical Review.Focus (American Psychiatric Publishing) · 2025Review
- Digital Phenotyping in Adults with Schizophrenia: A Narrative Review.Current psychiatry reports · 2023Review
- Digital tools to support mental health: a survey study in psychosis.BMC psychiatry · 2023Article
- An examination of neurocognition and theory of mind as predictors of engagement with a tailored digital therapeutic in persons with serious mental illness.Schizophrenia research. Cognition · 2022Article
- Validation of an ecological momentary assessment to measure processing speed and executive function in schizophrenia.NPJ schizophrenia · 2021Article
- The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
Objective: Implementation of mobile health (mhealth) interventions remains limited among those with schizophrenia. This study examined several logistical barriers to the implementation of mHealth interventions, particularly text message interventions, for people with schizophrenia. Methods: This study examined the feasibility of leveraging personal mobile phones to deliver mHealth interventions by using data from a pilot randomized controlled trial (RCT) of a text message intervention delivered on personal mobile phones to 56 people with schizophrenia with motivation reductions. Results: Among those screened for the RCT ( Conclusions: Even those with schizophrenia with perceived symptom barriers to mHealth engagement (i.e., motivation reductions) may have access to mobile phones and plans and familiarity with mobile features to engage meaningfully with a text message intervention. These results help to support future implementations of text message interventions, which may enhance the provision of care for those with schizophrenia.
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What OpenQuestion holds
Registered trials
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.