Evidence map›Paper›PMID 37874639›Full record

ArticleJMIR human factors2023

Clinician and Patient Perspectives on the Use of Passive Mobile Monitoring and Self-Tracking for Patients With Serious Mental Illness: User-Centered Approach.

Melissa Medich, Shay L Cannedy, Lauren C Hoffmann, Melissa Y Chinchilla, Jose M Pila, Stephanie A Chassman, Ronald A Calderon, Alexander S Young

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR human factors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05023252 (Passive Mobile Self-Tracking of Mental Health by Veterans With Serious Mental Illness), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
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.

NCT05023252 nacompletednot on this map

Passive Mobile Self-Tracking of Mental Health by Veterans With Serious Mental Illness

TypeinterventionalSponsorVA Office of Research and DevelopmentRan2021 to 2024Enrolled87ConditionsSchizophrenia, Bipolar Disorder, Schizoaffective Disorder, Post-traumatic Stress DisorderArmsmobile application
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 10 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Melissa MedichCenter for the Study of Healthcare Innovation, Implementation and Policy, VA Greater Los Angeles Healthcare System, U.S. Department of Veteran Affairs, North Hills, CA, United States.ORCID 0000-0003-4541-0858
Shay L CannedyCenter for the Study of Healthcare Innovation, Implementation and Policy, VA Greater Los Angeles Healthcare System, U.S. Department of Veteran Affairs, North Hills, CA, United States.ORCID 0000-0003-3163-4615
Lauren C HoffmannMental Illness Research, Education and Clinical Center, VA Greater Los Angeles Healthcare System, U.S. Department of Veteran Affairs, Los Angeles, CA, United States.ORCID 0000-0002-6895-3727
Melissa Y ChinchillaMental Illness Research, Education and Clinical Center, VA Greater Los Angeles Healthcare System, U.S. Department of Veteran Affairs, Los Angeles, CA, United States.ORCID 0000-0001-7546-0827
Jose M PilaMental Illness Research, Education and Clinical Center, VA Greater Los Angeles Healthcare System, U.S. Department of Veteran Affairs, Los Angeles, CA, United States.ORCID 0000-0002-9282-6429
Stephanie A ChassmanMental Illness Research, Education and Clinical Center, VA Greater Los Angeles Healthcare System, U.S. Department of Veteran Affairs, Los Angeles, CA, United States.ORCID 0000-0002-7338-9518
Ronald A CalderonMental Illness Research, Education and Clinical Center, VA Greater Los Angeles Healthcare System, U.S. Department of Veteran Affairs, Los Angeles, CA, United States.ORCID 0000-0001-5860-8703
Alexander S YoungMental Illness Research, Education and Clinical Center, VA Greater Los Angeles Healthcare System, U.S. Department of Veteran Affairs, Los Angeles, CA, United States.ORCID 0000-0002-9367-9213
VA Greater Los Angeles Healthcare System · USCenter for the Study of Healthcare Provider Behavior · USThe Lundquist Institute · US

Funding

Passive Mobile Self-Tracking of Mental Health by Veterans with Serious Mental IllnessI01HX003129 · VA · VA GREATER LOS ANGELES HEALTHCARE SYSTEM · PI YOUNG, ALEXANDER S. · 2020 to 2025
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HSRD VA I01 HX003129
6 · The paper itself

Abstract

backgroundEarly intervention in mental health crises can prevent negative outcomes. A promising new direction is remote mental health monitoring using smartphone technology to passively collect data from individuals to rapidly detect the worsening of serious mental illness (SMI). This technology may benefit patients with SMI, but little is known about health IT acceptability among this population or their mental health clinicians.

objectiveWe used the Health Information Technology Acceptability Model to analyze the acceptability and usability of passive mobile monitoring and self-tracking among patients with serious mental illness and their mental health clinicians.

methodsData collection took place between December 2020 and June 2021 in 1 Veterans Administration health care system. Interviews with mental health clinicians (n=16) assessed the acceptability of mobile sensing, its usefulness as a tool to improve clinical assessment and care, and recommendations for program refinements. Focus groups with patients with SMI (n=3 groups) and individual usability tests (n=8) elucidated patient attitudes about engaging in health IT and perceptions of its usefulness as a tool for self-tracking and improving mental health assessments.

resultsClinicians discussed the utility of web-based data dashboards to monitor patients with SMI health behaviors and receiving alerts about their worsening health. Potential benefits included improving clinical care, capturing behaviors patients do not self-report, watching trends, and receiving alerts. Clinicians' concerns included increased workloads tied to dashboard data review, lack of experience using health IT in clinical care, and how SMI patients' associated paranoia and financial instability would impact patient uptake. Despite concerns, all mental health clinicians stated that they would recommend it. Almost all patients with SMI were receptive to using smartphone dashboards for self-monitoring and having behavioral change alerts sent to their mental health clinicians. They found the mobile app easy to navigate and dashboards easy to find and understand. Patient concerns centered on privacy and "government tracking," and their phone's battery life and data plans. Despite concerns, most reported that they would use it.

conclusionsMany people with SMI would like to have mobile informatics tools that can support their illness and recovery. Similar to other populations (eg, older adults, people experiencing homelessness) this population presents challenges to adoption and implementation. Health care organizations will need to provide resources to address these and support successful illness management. Clinicians are supportive of technological approaches, with adapting informatics data into their workflow as the primary challenge. Despite clear challenges, technological developments are increasingly designed to be acceptable to patients. The research development-clinical deployment gap must be addressed by health care systems, similar to computerized cognitive training. It will ensure clinicians operate at the top of their skill set and are not overwhelmed by administrative tasks, data summarization, or reviewing data that do not indicate a need for intervention. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/39010.

Indexed as

Mental DisordersMobile ApplicationsAgedHumansMental HealthSmartphoneUnited StatesUnited States Department of Veterans Affairsacceptabilityapplicationbehaviorhealth informaticsmanagementmental healthmental illnessmobile healthmobile phonemonitoringpassive sensingpreventionself-trackingserious mental illnesstoolusabilityusefulness

Identifiers

PMID37874639
PMCPMC10630855
OpenAlexW4385896148

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.