Evidence map›Paper›PMID 41131987›Full record

ArticlePsychiatric services (Washington, D.C.)2025

Implementing mHealth for Schizophrenia in Community Mental Health Settings: Hybrid Type 3 Effectiveness-Implementation Trial.

Dror Ben-Zeev, Justin Tauscher, Devon Sandel-Fernandez, Benjamin Buck, Sarah Kopelovich, Aaron R Lyon, Lydia Chwastiak, Steven C Marcus

Abstract read
In one paragraph

Article in Psychiatric services (Washington, D.C.), 2025. 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

8 authors.

Dror Ben-ZeevDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle.
Justin TauscherDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle.ORCID 0000-0002-6129-9371
Devon Sandel-FernandezDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle.
Benjamin BuckDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle.
Sarah KopelovichDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle.
Aaron R LyonDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle.
Lydia ChwastiakDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle.
Steven C MarcusSchool of Social Policy and Practice, University of Pennsylvania, Philadelphia.ORCID 0000-0001-7819-3824

Funding

Implementing mHealth for Schizophrenia in Community Mental Health SettingsR01MH116057 · NIMH · UNIVERSITY OF WASHINGTON · PI BEN-ZEEV, DROR · 2019 to 2023
$3.7M
User-centered design of a mobile health intervention to promote help-seeking and reduce duration of untreated illness among young adults with early psychosisK23MH122504 · NIMH · UNIVERSITY OF WASHINGTON · PI BUCK, BENJAMIN EDWARDS · 2020 to 2024
$930k
NIMH NIH HHS K23 MH122504NIMH NIH HHS R01 MH116057
6 · The paper itself

Abstract

objectiveThe study aimed to evaluate two mobile health (mHealth) implementation strategies that leverage digital navigators to support deployment of a smartphone intervention for schizophrenia (FOCUS) in community mental health settings.

methodsA hybrid type 3 effectiveness-implementation trial conducted at 23 community mental health programs compared two implementation strategies that engaged staff and patients in mHealth: external facilitation (EF), a hub-and-spoke model in which digital navigators provide mHealth support to staff and patients at multiple programs, and internal facilitation (IF), in which a frontline staff member at each program serves as the local digital navigator. Implementation outcomes of 3,816 patients with schizophrenia spectrum disorders were intervention reach, penetration, intake completion, and treatment initiation, as well as practitioner ratings of intervention acceptability, appropriateness, and feasibility. Intervention outcomes of 274 enrolled patients were psychiatric hospitalization and emergency department (ED) admissions, clinical symptoms, and recovery (assessed at baseline, postintervention, and 6 months).

resultsBoth models produced similar implementation outcomes but different intervention outcomes. FOCUS reduced the percentage of participants who experienced psychiatric ED admissions with EF but not IF and produced small positive effects on psychiatric symptom and recovery measures with both implementation models, but the magnitudes of gains were greater in EF.

conclusionsDespite community mental health center staff's positive impressions of the FOCUS intervention, uptake was low in both mHealth implementation models. Findings suggest a clinical advantage to the EF model. Regional EF hubs can potentially provide support to community agencies implementing mHealth for schizophrenia.

Indexed as

Community Mental Health ServicesSchizophreniaTelemedicineAdultFemaleHumansMaleMiddle AgedCommunity Mental Health CentersDigital HealthDigital NavigatorsImplementationMobile HealthSchizophrenia

Identifiers

PMID41131987
PMCPMC12746762

What OpenQuestion 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 OpenQuestion graph.