Evidence map›Paper›PMID 37746639›Full record

ArticleInternet interventions2023

A text messaging intervention to support the mental health of young adults: User engagement and feedback from a field trial of an intervention prototype.

Rachel Kornfield, Caitlin A Stamatis, Ananya Bhattacharjee, Bei Pang, Theresa Nguyen, Joseph J Williams, Harsh Kumar, Sarah Popowski, Miranda Beltzer, Christopher J Karr and 3 more

Open access · goldAbstract read
In one paragraph

Article in Internet interventions, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 6% 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.

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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 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

13 authors at 5 institutions in 2 countries.

Rachel KornfieldCenter for Behavioral Intervention Technologies, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, 750 N Lake Shore Drive, 10th Floor, Chicago, IL 60611, United States of America.
Caitlin A StamatisCenter for Behavioral Intervention Technologies, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, 750 N Lake Shore Drive, 10th Floor, Chicago, IL 60611, United States of America.
Ananya BhattacharjeeDepartment of Computer Science, University of Toronto, 40 St George St, Toronto, ON M5S 2E4, Canada.
Bei PangDepartment of Computer Science, University of Toronto, 40 St George St, Toronto, ON M5S 2E4, Canada.
Theresa NguyenMental Health America, 500 Montgomery St #820, Alexandria, VA 22314, United States of America.
Joseph J WilliamsDepartment of Computer Science, University of Toronto, 40 St George St, Toronto, ON M5S 2E4, Canada.
Harsh KumarDepartment of Computer Science, University of Toronto, 40 St George St, Toronto, ON M5S 2E4, Canada.
Sarah PopowskiCenter for Behavioral Intervention Technologies, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, 750 N Lake Shore Drive, 10th Floor, Chicago, IL 60611, United States of America.
Miranda BeltzerCenter for Behavioral Intervention Technologies, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, 750 N Lake Shore Drive, 10th Floor, Chicago, IL 60611, United States of America.
Christopher J KarrAudacious Software, 3900 N. Fremont St. Unit B, Chicago, IL 60613, United States of America.
Madhu ReddyDepartment of Informatics, University of California-Irvine, Donald Bren Hall #5019, Irvine, CA 92617, United States of America.
David C MohrCenter for Behavioral Intervention Technologies, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, 750 N Lake Shore Drive, 10th Floor, Chicago, IL 60611, United States of America.
Jonah MeyerhoffCenter for Behavioral Intervention Technologies, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, 750 N Lake Shore Drive, 10th Floor, Chicago, IL 60611, United States of America.
University of Toronto · CABehavioral Tech · USNorthwestern University · USMental Health America · USUniversity of California, Irvine · US

Funding

Technology Enabled Services for Coordinated Care of Depression in Healthcare SettingsP50MH119029 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Rachel Kornfield · 2020 to 2026
$10.7M
Multidisciplinary Training Program in Digital Mental HealthT32MH115882 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Darren Gergle, DAVID CURTIS MOHR · 2018 to 2026
$2.4M
mHealth for suicide prevention: Design, development, and feasibility of a scalable SMS-based safety planning interventionK08MH128640 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Jonah Meyerhoff · 2022 to 2026
$1.0M
Adaptive Messaging to Support Depression Self-ManagementK01MH125172 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI KORNFIELD, RACHEL · 2021 to 2025
$865k
Digital Mental Health Service for Non-Treatment Seeking Young AdultsR34MH124960 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI MEYERHOFF, JONAH, MOHR, DAVID CURTIS · 2021 to 2023
$641k
NIMH NIH HHS K01 MH125172NIMH NIH HHS K08 MH128640NIMH NIH HHS P50 MH119029NIMH NIH HHS R34 MH124960NIMH NIH HHS T32 MH115882
6 · The paper itself

Abstract

Background: Young adults have high rates of mental health conditions, but most do not want or cannot access treatment. By leveraging a medium that young adults routinely use, text messaging programs have potential to keep young adults engaged with content supporting self-management of mental health issues and can be delivered inexpensively at scale. We designed an intervention that imparts strategies for self-managing mental health symptoms through interactive text messaging dialogues and engages users through novelty and variety in strategies (from cognitive behavioral therapy, acceptance and commitment therapy, and positive psychology) and styles of interaction (e.g., prompts, peer stories, writing tasks). Methods: The aim of this mixed-methods study was to pilot 1- and 2-week versions of an interactive text messaging intervention among young adults (ages 18-25), and to obtain feedback to guide intervention refinements. Young adults were recruited via a mental health advocacy website and snowball sampling at a North American University. We used Wizard-of-Oz methods in which study staff sent messages based on a detailed script. Transcripts of interviews were subject to qualitative analysis to identify aspects of the program that need improvements, and to gather participant perspectives on possible solutions. Results: Forty-eight individuals ages 18-25 participated in the study (mean age: 22.0). 85 % responded to the program at least once. Among those who ever responded, they replied to messages on 85 % of days, and with engagement sustained over the study period. Participants endorsed the convenience of text messaging, the types of interactive dialogues, and the variety of content. They also identified needed improvements to message volume, scheduling, and content. Conclusions: Young adults showed high levels of engagement and satisfaction with a texting program supporting mental health self-management. The program may be improved through refining personalization, timing, and message volume, and extending content to support use over a longer timeframe. If shown to be effective in randomized trials, this program has potential to help address a substantial treatment gap in young adults' mental health.

Indexed as

AnxietyDepressionDigital mental healthText messagingUser-centered designYoung adults

Identifiers

PMID37746639
PMCPMC10511778
OpenAlexW4386566037

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.