scholarly journals 14.1 PEER ACADEMIC SUPPORTS FOR COLLEGE STUDENTS WITH MENTAL ILLNESS: PILOT RANDOMIZED CONTROLLED TRIAL

2021 ◽  
Vol 60 (10) ◽  
pp. S278-S279
Author(s):  
Maryann Davis
Keyword(s):  
College Students ◽  
Mental Illness ◽  
Randomized Controlled Trial ◽  
Controlled Trial ◽  
Randomized Controlled ◽  
Academic Supports ◽  
Pilot Randomized Controlled Trial

scholarly journals Pilot Randomized Controlled Trial of a Novel Smoking Cessation App Designed for Individuals With Co-Occurring Tobacco Use Disorder and Serious Mental Illness

2019 ◽  
Vol 22 (9) ◽  
pp. 1533-1542 ◽  
Author(s):  
Roger Vilardaga ◽  
Javier Rizo ◽  
Paige E Palenski ◽  
Paolo Mannelli ◽  
Jason A Oliver ◽  
...  
Keyword(s):  
Mental Illness ◽  
Randomized Controlled Trial ◽  
Smoking Cessation ◽  
Tobacco Use ◽  
Controlled Trial ◽  
Smoking Cessation Treatment ◽  
Tobacco Use Disorder ◽  
Randomized Controlled ◽  
Cessation Treatment ◽  
Pilot Randomized Controlled Trial

Abstract Introduction High rates of tobacco use among people with serious mental illness (SMI), along with their unique needs, suggest the importance of developing tailored smoking cessation interventions for this group. Previous early-phase work empirically validated the design and content of Learn to Quit, a theory-based app designed for this population. Methods In a pilot randomized controlled trial, we compared the feasibility, acceptability, and preliminary efficacy of Learn to Quit versus QuitGuide, an app designed for the general population. All participants received nicotine replacement therapy and technical assistance. Daily smokers with SMI (N = 62) participated in the trial with outcomes assessed at weeks 4, 8, 12, and 16. Results Compared to QuitGuide, Learn to Quit participants had similar number of days of app use (34 vs. 32, p = .754), but larger number of app interactions (335 vs. 205; p = .001), longer durations of app use (4.24 hrs. vs. 2.14 hrs; p = .044), and higher usability scores (85 vs. 79, p = .046). At week 16, Learn to Quit led to greater reductions in cigarettes per day (12.3 vs. 5.9 for QuitGuide; p = 0.10). Thirty-day point prevalence abstinence was verified in 12% of Learn to Quit participants versus 3% of QuitGuide participants (odds ratio = 3.86, confidence interval = 0.41 to 36, p = .239). Changes in psychiatric symptoms and adverse events were not clinically significant between conditions. Conclusions This pilot trial provides strong evidence of Learn to Quit’s usability, feasibility, and safety. Preliminary evidence suggests the app may be efficacious. A randomized controlled efficacy trial is needed to test the app in a larger sample of smokers with SMI. Implications This study suggests that the Learn to Quit app is a feasible approach to deliver smoking cessation treatment in patients with co-occurring tobacco use disorder and SMI. This means that, if found efficacious, this technology could be used to deploy smoking cessation treatment to larger segments of this population, hence improving public health. Therefore, a randomized controlled trial should be conducted to examine the efficacy of this digital intervention.

scholarly journals Honest, Open, Proud for adolescents with mental illness: pilot randomized controlled trial

2017 ◽  
Vol 59 (6) ◽  
pp. 684-691 ◽  
Author(s):  
Nadine Mulfinger ◽  
Sabine Müller ◽  
Isabel Böge ◽  
Vehbi Sakar ◽  
Patrick W. Corrigan ◽  
...  
Keyword(s):  
Mental Illness ◽  
Randomized Controlled Trial ◽  
Controlled Trial ◽  
Randomized Controlled ◽  
Pilot Randomized Controlled Trial

scholarly journals Assessing the Efficacy and Acceptability of a Web-Based Intervention for Resilience Among College Students: Pilot Randomized Controlled Trial

10.2196/20167 ◽  
2020 ◽  
Vol 4 (11) ◽  
pp. e20167
Author(s):  
Angel Enrique Roig ◽  
Olwyn Mooney ◽  
Alicia Salamanca-Sanabria ◽  
Chi Tak Lee ◽  
Simon Farrell ◽  
...  
Keyword(s):  
Mental Health ◽  
College Students ◽  
Randomized Controlled Trial ◽  
Controlled Trial ◽  
Well Being ◽  
Waiting List ◽  
Web Based ◽  
Randomized Controlled ◽  
Automated Support ◽  
Pilot Randomized Controlled Trial

Background College students are at elevated risk for developing mental health problems and face specific barriers around accessing evidence-based treatment. Web-based interventions that focus on mental health promotion and strengthening resilience represent one possible solution. Providing support to users has shown to reduce dropout in these interventions. Further research is needed to assess the efficacy and acceptability of these interventions and explore the viability of automating support. Objective This study investigated the feasibility of a new web-based resilience program based on positive psychology, provided with human or automated support, in a sample of college students. Methods A 3-armed closed pilot randomized controlled trial design was used. Participants were randomized to the intervention with human support (n=29), intervention with automated support (n=26), or waiting list (n=28) group. Primary outcomes were resilience and well-being, respectively measured by the Connor–Davidson Resilience Scale and Pemberton Happiness Index. Secondary outcomes included measures of depression and anxiety, self-esteem, and stress. Outcomes were self-assessed through online questionnaires. Intention-to-treat and per-protocol analyses were conducted. Results All participants demonstrated significant improvements in resilience and related outcomes, including an unexpected improvement in the waiting list group. Within- and between-group effect sizes ranged from small to moderate and within-group effects were typically larger for the human than automated support group. A total of 36 participants began the program and completed 46.46% of it on average. Participants were generally satisfied with the program and found it easy to use. Conclusions Findings support the feasibility of the intervention. Preliminary evidence for the equal benefit of human and automated support needs to be supported by further research with a larger sample. Results of this study will inform the development of a full-scale trial, from which stronger conclusions may be drawn. Trial Registration International Standard Randomized Controlled Trial Number (ISRCTN) 11866034; http://www.isrctn.com/ISRCTN11866034 International Registered Report Identifier (IRRID) RR2-10.1016/j.invent.2019.100254

scholarly journals Assessing the Efficacy and Acceptability of a Web-Based Intervention for Resilience Among College Students: Pilot Randomized Controlled Trial (Preprint)

2020 ◽  
Author(s):  
Angel Enrique Roig ◽  
Olwyn Mooney ◽  
Alicia Salamanca-Sanabria ◽  
Chi Tak Lee ◽  
Simon Farrell ◽  
...  
Keyword(s):  
Mental Health ◽  
College Students ◽  
Randomized Controlled Trial ◽  
Controlled Trial ◽  
Well Being ◽  
Waiting List ◽  
Web Based ◽  
Randomized Controlled ◽  
Automated Support ◽  
Pilot Randomized Controlled Trial

BACKGROUND College students are at elevated risk for developing mental health problems and face specific barriers around accessing evidence-based treatment. Web-based interventions that focus on mental health promotion and strengthening resilience represent one possible solution. Providing support to users has shown to reduce dropout in these interventions. Further research is needed to assess the efficacy and acceptability of these interventions and explore the viability of automating support. OBJECTIVE This study investigated the feasibility of a new web-based resilience program based on positive psychology, provided with human or automated support, in a sample of college students. METHODS A 3-armed closed pilot randomized controlled trial design was used. Participants were randomized to the intervention with human support (n=29), intervention with automated support (n=26), or waiting list (n=28) group. Primary outcomes were resilience and well-being, respectively measured by the Connor–Davidson Resilience Scale and Pemberton Happiness Index. Secondary outcomes included measures of depression and anxiety, self-esteem, and stress. Outcomes were self-assessed through online questionnaires. Intention-to-treat and per-protocol analyses were conducted. RESULTS All participants demonstrated significant improvements in resilience and related outcomes, including an unexpected improvement in the waiting list group. Within- and between-group effect sizes ranged from small to moderate and within-group effects were typically larger for the human than automated support group. A total of 36 participants began the program and completed 46.46% of it on average. Participants were generally satisfied with the program and found it easy to use. CONCLUSIONS Findings support the feasibility of the intervention. Preliminary evidence for the equal benefit of human and automated support needs to be supported by further research with a larger sample. Results of this study will inform the development of a full-scale trial, from which stronger conclusions may be drawn. CLINICALTRIAL International Standard Randomized Controlled Trial Number (ISRCTN) 11866034; http://www.isrctn.com/ISRCTN11866034 INTERNATIONAL REGISTERED REPORT RR2-10.1016/j.invent.2019.100254

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