Literature DB >> 33582295

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

Ellen E Fitzsimmons-Craft1, C Barr Taylor2, Michelle G Newman3, Nur Hani Zainal4, Elsa E Rojas-Ashe5, Sarah Ketchen Lipson6, Marie-Laure Firebaugh7, Peter Ceglarek8, Naira Topooco9, Nicholas C Jacobson10, Andrea K Graham11, Hyungjin Myra Kim12, Daniel Eisenberg13, Denise E Wilfley14.   

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.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Anxiety; College mental health; Depression; Eating disorders; Prevention; Screening; Treatment; mHealth

Mesh:

Year:  2021        PMID: 33582295      PMCID: PMC8089064          DOI: 10.1016/j.cct.2021.106320

Source DB:  PubMed          Journal:  Contemp Clin Trials        ISSN: 1551-7144            Impact factor:   2.226


  65 in total

1.  Failure and delay in initial treatment contact after first onset of mental disorders in the National Comorbidity Survey Replication.

Authors:  Philip S Wang; Patricia Berglund; Mark Olfson; Harold A Pincus; Kenneth B Wells; Ronald C Kessler
Journal:  Arch Gen Psychiatry       Date:  2005-06

2.  The Insomnia Severity Index: psychometric indicators to detect insomnia cases and evaluate treatment response.

Authors:  Charles M Morin; Geneviève Belleville; Lynda Bélanger; Hans Ivers
Journal:  Sleep       Date:  2011-05-01       Impact factor: 5.849

3.  Early response in psychotherapy: further evidence for the importance of common factors rather than "placebo effects".

Authors:  Michael J Lambert
Journal:  J Clin Psychol       Date:  2005-07

4.  The reliability and validity of the panic disorder self-report: a new diagnostic screening measure of panic disorder.

Authors:  Michelle G Newman; Marilyn Holmes; Andrea R Zuellig; Kevin E Kachin; Evelyn Behar
Journal:  Psychol Assess       Date:  2006-03

5.  Two brief alcohol-screening tests From the Alcohol Use Disorders Identification Test (AUDIT): validation in a female Veterans Affairs patient population.

Authors:  Katharine A Bradley; Kristen R Bush; Amee J Epler; Dorcas J Dobie; Tania M Davis; Jennifer L Sporleder; Charles Maynard; Marcia L Burman; Daniel R Kivlahan
Journal:  Arch Intern Med       Date:  2003-04-14

6.  Reducing eating disorder onset in a very high risk sample with significant comorbid depression: A randomized controlled trial.

Authors:  C Barr Taylor; Andrea E Kass; Mickey Trockel; Darby Cunning; Hannah Weisman; Jakki Bailey; Meghan Sinton; Vandana Aspen; Kenneth Schecthman; Corinna Jacobi; Denise E Wilfley
Journal:  J Consult Clin Psychol       Date:  2016-01-21

7.  Fear, avoidance and physiological symptoms during cognitive-behavioral therapy for social anxiety disorder.

Authors:  Idan M Aderka; Carmen P McLean; Jonathan D Huppert; Jonathan R T Davidson; Edna B Foa
Journal:  Behav Res Ther       Date:  2013-04-03

8.  Digital IAPT: the effectiveness & cost-effectiveness of internet-delivered interventions for depression and anxiety disorders in the Improving Access to Psychological Therapies programme: study protocol for a randomised control trial.

Authors:  Derek Richards; Daniel Duffy; Brid Blackburn; Caroline Earley; Angel Enrique; Jorge Palacios; Matthew Franklin; Gabriella Clarke; Sarah Sollesse; Sarah Connell; Ladislav Timulak
Journal:  BMC Psychiatry       Date:  2018-03-02       Impact factor: 3.630

Review 9.  Computer-delivered and web-based interventions to improve depression, anxiety, and psychological well-being of university students: a systematic review and meta-analysis.

Authors:  E Bethan Davies; Richard Morriss; Cris Glazebrook
Journal:  J Med Internet Res       Date:  2014-05-16       Impact factor: 5.428

10.  Digital technology can revolutionize mental health services delivery: The COVID-19 crisis as a catalyst for change.

Authors:  C Barr Taylor; Ellen E Fitzsimmons-Craft; Andrea K Graham
Journal:  Int J Eat Disord       Date:  2020-05-25       Impact factor: 5.791

View more
  1 in total

Review 1.  Influencing factors, prediction and prevention of depression in college students: A literature review.

Authors:  Xin-Qiao Liu; Yu-Xin Guo; Wen-Jie Zhang; Wen-Juan Gao
Journal:  World J Psychiatry       Date:  2022-07-19
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.