Evidence map›Paper›PMID 35776491›Full record

ArticleJMIR formative research2022

An mHealth Platform for Augmenting Behavioral Health in Primary Care: Longitudinal Feasibility Study.

Khatiya Chelidze Moon, Michael Sobolev, Megan Grella, George Alvarado, Manish Sapra, Trever Ball

Abstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

6 authors.

Khatiya Chelidze MoonZucker Hillside Hospital, Glen Oaks, NY, United States.ORCID https://orcid.org/0000-0002-1496-4447
Michael SobolevCornell Tech, New York, NY, United States.ORCID https://orcid.org/0000-0002-8931-7682
Megan GrellaNorthwell Health, Manhassett, NY, United States.ORCID https://orcid.org/0000-0002-1692-4000
George AlvaradoNorthwell Health, Manhassett, NY, United States.ORCID https://orcid.org/0000-0002-1621-2935
Manish SapraNorthwell Health, Manhassett, NY, United States.ORCID https://orcid.org/0000-0002-0459-1886
Trever BallNorthwell Health, Manhassett, NY, United States.ORCID https://orcid.org/0000-0003-2149-8162

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe collaborative care model is a well-established system of behavioral health care within primary care settings. There is potential for mobile health (mHealth) technology to augment collaborative behavioral health care in primary care settings, thereby improving scalability, efficiency, and clinical outcomes.

objectiveWe aimed to assess the feasibility of engaging with and the preliminary clinical outcomes of an mHealth platform that was used to augment an existing collaborative care program in primary care settings.

methodsWe performed a longitudinal, single-arm feasibility study of an mHealth platform that was used to augment collaborative care. A total of 3 behavioral health care managers, who were responsible for coordinating disease management in 6 primary care practices, encouraged participants to use a mobile app to augment the collaborative model of behavioral health care. The mHealth platform's functions included asynchronous chats with the behavioral health care managers, depression self-report assessments, and psychoeducational content. The primary outcome was the feasibility of engagement, which was based on the number and type of participant-generated actions that were completed in the app. The primary clinical end point was a comparison of the baseline and final assessments of the Patient Health Questionnaire-9.

resultsOf the 245 individuals who were referred by their primary care provider for behavioral health services, 89 (36.3%) consented to app-augmented behavioral health care. Only 12% (11/89) never engaged with the app during the study period. Across all participants, we observed a median engagement of 7 (IQR 12; mean 10.4; range 0-130) actions in the app (participants: n=78). The chat function was the most popular, followed by psychoeducational content and assessments. The subgroup analysis revealed no significant differences in app usage by age (P=.42) or sex (P=.84). The clinical improvement rate in our sample was 73% (32/44), although follow-up assessments were only available for 49% (44/89) of participants.

conclusionsOur preliminary findings indicate the moderate feasibility of using mHealth technology to augment behavioral health care in primary care settings. The results of this study are applicable to improving the design and implementation of mobile apps in collaborative care.

Indexed as

collaborative caredepressionmobile appmobile healthmobile phonepsychiatrypsychoeducationvirtual care

Identifiers

PMID35776491
PMCPMC9288094

What OpenQuestion holds

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LicenceCC BY
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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.