Evidence map›Paper›PMID 39773396›Full record

ArticleJMIR formative research2025

The Trifecta of Industry, Academic, and Health System Partnership to Improve Mental Health Care Through Smartphone-Based Remote Patient Monitoring: Development and Usability Study.

C Neill Epperson, Rachel Davis, Allison Dempsey, Heinrich C Haller, David J Kupfer, Tiffany Love, Pamela M Villarreal, Mark Matthews, Susan L Moore, Kimberly Muller and 4 more

Abstract read
In one paragraph

Article in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

14 authors.

C Neill EppersonDepartment of Psychiatry, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID 0000-0002-1010-1409
Rachel DavisDepartment of Psychiatry, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID 0000-0001-7823-012X
Allison DempseyDepartment of Psychiatry, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID 0000-0003-2331-9455
Heinrich C HallerDepartment of Psychiatry, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID 0000-0002-0810-5734
David J KupferDepartment of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States.ORCID 0000-0003-0046-8466
Tiffany LoveDepartment of Psychiatry, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID 0000-0001-9299-3190
Pamela M VillarrealUCHealth CARE Innovations Center, Anschutz Medical Campus, University of Colorado Health System, Aurora, CO, United States.ORCID 0009-0006-7967-2476
Mark MatthewsHealth Rhythms, New York, NY, United States.ORCID 0000-0001-8862-5141
Susan L MooreCU Innovations, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID 0000-0001-8671-6066
Kimberly MullerCU Innovations, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID 0009-0000-6078-6031
Christopher D SchneckDepartment of Psychiatry, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID 0000-0002-7422-4707
Jessica L ScottDepartment of Psychiatry, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID 0009-0009-6113-1366
Richard D ZaneUCHealth CARE Innovations Center, Anschutz Medical Campus, University of Colorado Health System, Aurora, CO, United States.ORCID 0000-0001-7658-7707
Ellen FrankDepartment of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States.ORCID 0000-0003-3298-7893

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMental health treatment is hindered by the limited number of mental health care providers and the infrequency of care. Digital mental health technology can help supplement treatment by remotely monitoring patient symptoms and predicting mental health crises in between clinical visits. However, the feasibility of digital mental health technologies has not yet been sufficiently explored. Rhythms, from the company Health Rhythms, is a smartphone platform that uses passively acquired smartphone data with artificial intelligence and predictive analytics to alert patients and providers to an emerging mental health crisis.

objectiveThe objective of this study was to test the feasibility and acceptability of Rhythms among patients attending an academic psychiatric outpatient clinic.

methodsOur group embedded Rhythms into the electronic health record of a large health system. Patients with a diagnosis of major depressive disorder, bipolar disorder, or other mood disorder were contacted online and enrolled for a 6-week trial of Rhythms. Participants provided data by completing electronic surveys as well as by active and passive use of Rhythms. Emergent and urgent alerts were monitored and managed according to passively collected data and patient self-ratings. A purposively sampled group of participants also participated in qualitative interviews about their experience with Rhythms at the end of the study.

resultsOf the 104 participants, 89 (85.6%) completed 6 weeks of monitoring. The majority of the participants were women (72/104, 69.2%), White (84/104, 80.8%), and non-Hispanic (100/104, 96.2%) and had a diagnosis of major depressive disorder (71/104, 68.3%). Two emergent alerts and 19 urgent alerts were received and managed according to protocol over 16 weeks. More than two-thirds (63/87, 72%) of those participating continued to use Rhythms after study completion. Comments from participants indicated appreciation for greater self-awareness and provider connection, while providers reported that Rhythms provided a more nuanced understanding of patient experience between clinical visits.

conclusionsRhythms is a user-friendly, electronic health record-adaptable, smartphone-based tool that provides patients and providers with a greater understanding of patient mental health status. Integration of Rhythms into health systems has the potential to facilitate mental health care and improve the experience of both patients and providers.

Indexed as

SmartphoneAdultFemaleHumansMaleMental DisordersMental Health ServicesMiddle AgedSurveys and QuestionnairesTelemedicinealertartificial intelligencebipolardepressiondiagnosisdiagnostic tooldigital healthEHRelectronic health recordmental healthmHealthmobile healthmobile interventionmonitormoodnotificationpassivepatient generatedpredictionpsychiatryself-reportedsmartphonetelepsychiatry

Identifiers

PMID39773396
PMCPMC11751643

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.