Evidence map›Paper›PMID 33582295›Full record

ArticleContemporary clinical trials2021

Harnessing mobile technology to reduce mental health disorders in college populations: A randomized controlled trial study protocol.

Ellen E Fitzsimmons-Craft, C Barr Taylor, Michelle G Newman, Nur Hani Zainal, Elsa E Rojas-Ashe, Sarah Ketchen Lipson, Marie-Laure Firebaugh, Peter Ceglarek, Naira Topooco, Nicholas C Jacobson and 4 more

Open access · greenAbstract readClinical Trial Protocol
In one paragraph

Article in Contemporary clinical trials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
4.1field-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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 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

14 authors at 9 institutions in 2 countries.

Ellen E Fitzsimmons-CraftDepartment of Psychiatry, Washington University School of Medicine, Mailstop 8134-29-2100, 660 S. Euclid Ave., St. Louis, MO 63110, USA. Electronic address: fitzsimmonse@wustl.edu.
C Barr TaylorDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA; Center for m(2)Health, Palo Alto University, Palo Alto, CA, USA. Electronic address: btaylor@stanford.edu.
Michelle G NewmanDepartment of Psychology, Penn State University, University Park, PA, USA. Electronic address: mgn1@psu.edu.
Nur Hani ZainalDepartment of Psychology, Penn State University, University Park, PA, USA. Electronic address: nvz5057@psu.edu.
Elsa E Rojas-AsheCenter for m(2)Health, Palo Alto University, Palo Alto, CA, USA. Electronic address: erojas@paloaltou.edu.
Sarah Ketchen LipsonDepartment of Health Law Policy and Management, Boston University School of Public Health, Boston, MA, USA. Electronic address: sklipson@bu.edu.
Marie-Laure FirebaughDepartment of Psychiatry, Washington University School of Medicine, Mailstop 8134-29-2100, 660 S. Euclid Ave., St. Louis, MO 63110, USA. Electronic address: mcallewaert@wustl.edu.
Peter CeglarekDepartment of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor, MI, USA. Electronic address: peterceg@umich.edu.
Naira TopoocoCenter for m(2)Health, Palo Alto University, Palo Alto, CA, USA; Department of Behavioural Sciences and Learning, Linköping University, Linköping, Sweden. Electronic address: naira.topooco@liu.se.
Nicholas C JacobsonDepartments of Biomedical Data Science and Psychiatry, Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Hanover, NH, USA. Electronic address: Nicholas.C.Jacobson@dartmouth.edu.
Andrea K GrahamDepartment of Medical Social Sciences, Northwestern University, Chicago, IL, USA. Electronic address: andrea.graham@northwestern.edu.
Hyungjin Myra KimDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, USA. Electronic address: myrakim@umich.edu.
Daniel EisenbergDepartment of Health Policy and Management, Fielding School of Public Health, University of California at Los Angeles, Los Angeles, CA, USA. Electronic address: daniel.eisenberg@ucla.edu.
Denise E WilfleyDepartment of Psychiatry, Washington University School of Medicine, Mailstop 8134-29-2100, 660 S. Euclid Ave., St. Louis, MO 63110, USA. Electronic address: wilfleyd@wustl.edu.
Washington University in St. Louis · USPennsylvania State University · USUniversity of Michigan–Ann Arbor · USBoston University · USDartmouth College · USLinköping University · SENorthwestern University · USStanford University · USUniversity of California, Los Angeles · US

Funding

Treatment Development & Evaluation CoreP30DA029926 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2011 to 2026
$21.5M
Washington University Center for Diabetes Translation Research P30DK092950 · NIDDK · WASHINGTON UNIVERSITY · PI Ross C Brownson, Debra Haire-Joshu · 2011 to 2026
$11.7M
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
NIDA NIH HHS P30 DA029926NIDDK NIH HHS K01 DK116925NIDDK NIH HHS P30 DK092950NIMH NIH HHS K08 MH120341NIMH NIH HHS R01 MH115128
6 · The paper itself

Abstract

About a third of college students struggle with anxiety, depression, or an eating disorder, and only 20-40% of college students with mental disorders receive treatment. Inadequacies in mental health care delivery result in prolonged illness, disease progression, poorer prognosis, and greater likelihood of relapse, highlighting the need for a new approach to detect mental health problems and engage college students in services. We have developed a transdiagnostic, low-cost mobile mental health targeted prevention and intervention platform that uses population-level screening to engage college students in tailored services that address common mental health problems. We will test the impact of this mobile mental health platform for service delivery in a large-scale trial across 20+ colleges. Students who screen positive or at high-risk for clinical anxiety, depression, or an eating disorder and who are not currently engaged in mental health services (N = 7884) will be randomly assigned to: 1) intervention via the mobile mental health platform; or 2) referral to usual care (i.e., campus health or counseling center). We will test whether the mobile mental health platform, compared to referral, is associated with improved uptake, reduced clinical cases, disorder-specific symptoms, and improved quality of life and functioning. We will also test mediators, predictors, and moderators of improved mental health outcomes, as well as stakeholder-relevant outcomes, including cost-effectiveness and academic performance. This population-level approach to service engagement has the potential to improve mental health outcomes for the millions of students enrolled in U.S. colleges and universities.

Indexed as

Mental DisordersUniversitiesHumansMental HealthQuality of LifeRandomized Controlled Trials as TopicTechnologyAnxietyCollege mental healthDepressionEating disordersmHealthPreventionScreeningTreatment

Identifiers

PMID33582295
PMCPMC8089064
OpenAlexW3130157327

What OpenQuestion holds

Textmetadata
LicenceTDM
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.