The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Mobile Health (mHealth) Versus Clinic-Based Group Intervention for People With Serious Mental Illness: A Randomized Controlled Trial
Abstract
OBJECTIVE: mHealth approaches that use mobile phones to deliver interventions can help improve access to care for people with serious mental illness. The goal was to evaluate how mHealth performs against more traditional treatment. METHODS: A three-month randomized controlled trial was conducted of a smartphone-delivered intervention (FOCUS) versus a clinic-based group intervention (Wellness Recovery Action Plan [WRAP]). Participants were 163 clients, mostly from racial minority groups and with long-term, serious mental illness (schizophrenia or schizoaffective disorder, 49%; bipolar disorder, 28%; and major depressive disorder, 23%). Outcomes were engagement throughout the intervention; satisfaction posttreatment (three months); and improvement in clinical symptoms, recovery, and quality of life (assessed at baseline, posttreatment, and six months). RESULTS: Participants assigned to FOCUS were more likely than those assigned to WRAP to commence treatment (90% versus 58%) and remain fully engaged in eight weeks of care (56% versus 40%). Satisfaction ratings were comparably high for both interventions. Participants in both groups improved significantly and did not differ in clinical outcomes, including general psychopathology and depression. Significant improvements in recovery were seen for the WRAP group posttreatment, and significant improvements in recovery and quality of life were seen for the FOCUS group at six months. CONCLUSIONS: Both interventions produced significant gains among clients with serious and persistent mental illnesses who were mostly from racial minority groups. The mHealth intervention showed superior patient engagement and produced patient satisfaction and clinical and recovery outcomes that were comparable to those from a widely used clinic-based group intervention for illness management.
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“Indeed, new initiatives targeting transdiagnostic symptoms in psychiatric disorders, in which intervention content is tailored to daily assessments, have shown positive results (Ben-Zeev et al. 2018).”
From Evaluating the quality, safety, and functionality of commonly used smartphone apps for bipolar disorder mood and sleep self-management (2022) · cites this paper as Ben-Zeev et al. 2018
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Self-citation
Metadata
- Authors
- Ben-Zeev, D., Brian, R. M., Jonathan, G., Razzano, L., Pashka, N., Carpenter-Song, E., Drake, R. E., & Scherer, E. A.
- Affiliations
- Dr. Ben-Zeev and Ms. Brian are with the Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle. Ms. Jonathan is with the Department of Psychiatry and Behavioral Sciences, Northwestern University, Evanston, Illinois. Dr. Razzano is with the Department of Psychiatry, University of Illinois at Chicago and with Thresholds, Chicago. Ms. Pashka is with Thresholds, Chicago. Dr. Carpenter-Song is with the Department of Anthropology, Dartmouth College, Hanover, New Hampshire. Dr....
- Dartmouth College (US)
- ORCID
- Venue
- Psychiatric Services
- Published
- 2018-09-01
- Volume
- 69
- Issue
- 9
- Pages
- 978-985
- ISSN
- 0022-1597 (ISSN-L)
- 1075-2730
- 1557-9700
- OpenAlex
- W2803173466
- Cited by
- 173
- References
- 50
- Citations by year
- 2026: 11 · 2025: 24 · 2024: 23 · 2023: 17 · 2022: 16 · 2021: 32 · 2020: 19 · 2019: 20 · 2018: 10
- FWCI
- 25.54
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychiatric Services (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Health Professions › General Health Professions › Mental Health and Patient Involvement
- Keywords
- mobile health, severe mental illness, smartphone-based intervention, Wellness Recovery Action Plan, treatment engagement, patient satisfaction, recovery, quality of life, schizophrenia, bipolar disorder, major depressive disorder, racial minorities, health care access, illness management
- MeSH terms
- Smartphone, Adult, Ambulatory Care Facilities, Mental Disorders, Female, Humans, Male, Middle Aged, Psychotherapy, Group, Quality of Life, Self Care, Patient Satisfaction, Telemedicine
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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