Evidence map›Paper›PMID 28891660›Full record

ArticlePsychiatric rehabilitation journal2017

Augmenting mHealth with human support: Notes from community care of people with serious mental illnesses.

Geneva Kay Jonathan, Lupita Pivaral, Dror Ben-Zeev

Abstract read
In one paragraph

Article in Psychiatric rehabilitation journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

3 authors.

Geneva Kay JonathanDepartments of Psychiatry and Biomedical Data Science, Geisel School of Medicine at Dartmouth College.
Lupita PivaralThresholds.
Dror Ben-ZeevDepartment of Psychiatry and Behavioral Sciences, University of Washington.

Funding

Development of a Mobile System for Self-management of Schizophrenia (SOS)R34MH100195 · NIMH · DARTMOUTH COLLEGE · PI BEN-ZEEV, DROR · 2013 to 2015
$688k
Effectiveness of a Mobile Texting Intervention for People with Serious Mental IllnessR56MH109554 · NIMH · UNIVERSITY OF WASHINGTON · PI BEN-ZEEV, DROR · 2017 to 2018
$559k
NIMH NIH HHS R34 MH100195
6 · The paper itself

Abstract

topicThis article describes the activities of 2 mHealth specialists who supported the deployment of FOCUS-a smartphone self-management application for individuals with serious mental illnesses. PURPOSE: Several support activities have been identified as potentially advantageous for individuals using mHealth interventions: facilitation of user engagement, data utilization to enhance care, and promotion of meaningful use. We present 3 examples to demonstrate the implementation of these activities during a 12-week smartphone intervention. SOURCES USED: The personal experiences of 2 mHealth specialists are shared within the context of 3 examples of individuals who participated in the smartphone intervention. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: The application of these support activities highlights the future opportunities that mHealth interventions could offer to individuals with serious mental illnesses and their providers. Additionally, these examples call for conversation about technology support roles and where they belong in the context of community-based care. (PsycINFO Database Record

Indexed as

Medical Informatics ApplicationsSmartphoneAgedCommunity Health ServicesFemaleHumansMaleMiddle AgedPatient Acceptance of Health CareSchizophreniaSelf-ManagementTelemedicine

Identifiers

PMID28891660
PMCPMC5665394

What OpenQuestion holds

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Registered trials

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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.