Evidence map›Paper›PMID 37724304›Full record

ArticleJournal of behavioral and cognitive therapy2023

Reach and uptake of digital mental health interventions based on cognitive-behavioral therapy for college students: A systematic review.

Laura D'Adamo, Layna Paraboschi, Anne Claire Grammer, Molly Fennig, Andrea K Graham, Lauren H Yaeger, Michelle G Newman, Denise E Wilfley, C Barr Taylor, Daniel Eisenberg and 1 more

Abstract read
In one paragraph

Article in Journal of behavioral and cognitive therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  16. Using Machine Learning to Predict Uptake to an Online Self-Guided Intervention for Stress During the COVID-19 Pandemic.Stress and health : journal of the International Society for the Investigation of Stress · 2025
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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

11 authors.

Laura D'AdamoDepartment of Psychiatry, Washington University School of Medicine, Mailstop 8134-29-2100, 660 S. Euclid Ave., St. Louis, MO 63110, USA.
Layna ParaboschiDepartment of Psychiatry, Washington University School of Medicine, Mailstop 8134-29-2100, 660 S. Euclid Ave., St. Louis, MO 63110, USA.
Anne Claire GrammerDepartment of Psychiatry, Washington University School of Medicine, Mailstop 8134-29-2100, 660 S. Euclid Ave., St. Louis, MO 63110, USA.
Molly FennigDepartment of Psychiatry, Washington University School of Medicine, Mailstop 8134-29-2100, 660 S. Euclid Ave., St. Louis, MO 63110, USA.
Andrea K GrahamDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, 633 N St Clair St, Chicago, IL 60611, USA.
Lauren H YaegerWashington University School of Medicine, 660 S Euclid Ave, St. Louis, MO 63110, USA.
Michelle G NewmanDepartment of Psychology, The Pennsylvania State University, 371 Moore Building, University Park, PA 16801, USA.
Denise E WilfleyDepartment of Psychiatry, Washington University School of Medicine, Mailstop 8134-29-2100, 660 S. Euclid Ave., St. Louis, MO 63110, USA.
C Barr TaylorDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Road, Stanford, CA 94305, USA.
Daniel EisenbergDepartment of Health Policy and Management, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Ellen E Fitzsimmons-CraftDepartment of Psychiatry, Washington University School of Medicine, Mailstop 8134-29-2100, 660 S. Euclid Ave., St. Louis, MO 63110, USA.

Funding

Washington University Center for Diabetes Translation Research P30DK092950 · NIDDK · WASHINGTON UNIVERSITY · PI Ross C Brownson, Debra Haire-Joshu · 2011 to 2026
$11.7M
WUSTL Transdisciplinary Pre- and Postdoctoral Training Program in Obesity and Cardiovascular DiseaseT32HL130357 · NHLBI · WASHINGTON UNIVERSITY · PI WILFLEY, DENISE ELLA · 2016 to 2025
$4.3M
Harnessing Mobile Technology to Reduce Mental Health Disorders in College PopulationsR01MH115128 · NIMH · WASHINGTON UNIVERSITY · PI EISENBERG, DANIEL, NEWMAN, MICHELLE G · 2018 to 2022
$4.1M
Developing an Optimized Conversational Agent or "Chatbot" to Facilitate Mental Health Services Use in Individuals with Eating DisordersK08MH120341 · NIMH · WASHINGTON UNIVERSITY · PI FITZSIMMONS-CRAFT, ELLEN E. · 2019 to 2023
$824k
Testing Intervention Strategies for Addressing Obesity and Binge EatingK01DK116925 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI GRAHAM, ANDREA KASS · 2018 to 2022
$799k
A Naturalistic Examination of Dietary Lapses in Low-Income, Treatment-Seeking Families with ObesityF31HL158000 · NHLBI · WASHINGTON UNIVERSITY · PI GRAMMER, ANNE CLAIRE · 2021 to 2022
$92k
NHLBI NIH HHS F31 HL158000NHLBI NIH HHS T32 HL130357NIDDK NIH HHS K01 DK116925NIDDK NIH HHS P30 DK092950NIMH NIH HHS K08 MH120341NIMH NIH HHS R01 MH115128
6 · The paper itself

Abstract

Background: Mental health problems are increasing in prevalence among college students, yet few students receive treatment due to barriers such as insufficient resources in college counseling centers. Digital mental health interventions (DMHIs) have potential to overcome barriers and offer accessible, evidence-based care to college students. However, to evaluate the true public health impact of evidence-based DMHIs, it is important to assess the reach and uptake rates of DMHIs on college campuses. Objectives: We conducted a systematic review to examine the reach (i.e., % of invited students who express interest) and uptake (i.e., % of enrolled participants who initiate an intervention) of DMHIs based on cognitive-behavioral therapy (CBT) for college students. Methods: Eight databases were searched. Inclusion criteria included: (1) college population; (2) experimental design; (3) CBT-based intervention; (4) intervention targeting specific mental health conditions; and (5) digital intervention. Reach and uptake rates were calculated from data reported. A systematic narrative review framework was used to synthesize results. Results: Of 10,315 articles screened, 90 were included. Seventeen studies (19%) reported sufficient data to calculate reach; 35 studies (39%) reported uptake rates. Of studies that reported reach or uptake, most evaluated unguided ( Discussion: Despite evidence that improving reach and uptake can increase the public health impact of DMHIs, most studies did not report on either outcome. Suggested practices to improve these outcomes, and their reporting, are discussed.

Indexed as

Cognitive-behavioral therapyCollege mental healthDigital interventionsDigital mental healthImplementation sciencemHealth

Identifiers

PMID37724304
PMCPMC10506850

What OpenQuestion holds

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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.