Developing and Testing a Novel, Computerized Insomnia and Anxiety Intervention to Reduce Safety Aids Among an at-Risk Student Sample: A Randomized Controlled Trial

Acceptability, feasibility, and utility of a safety aid reduction treatment in underserved veterans: a pilot investigation

Access to mental health services, particularly for veterans residing in underserved communities, remain scarce. One approach to addressing availability barriers is through the use of group-based transdiagnostic or unified treatment protocols. One such protocol, Safety Aid Reduction Treatment (START), previously termed False Safety Behavior Elimination Treatment (FSET), has received increasing empirical support. However, prior research has only examined this treatment among civilians with a primary anxiety diagnosis. Thus, the purpose of the current study was to replicate and extend prior research by examining the acceptability, feasibility, and utility of START among veterans, particularly those living in underserved communities, and across a wider array of diagnoses. Veterans (n = 22) were assessed prior to, immediately after, and one month following the 8-week treatment. The majority of veterans found START useful and acceptable. Additionally, recruitment and retention rates suggest that the treatment was feasible. Notably, results revealed reductions in overall anxiety, depression, and safety aid usage, which were maintained throughout the brief follow-up period. These findings add to a growing body of literature highlighting the utility of transdiagnostic approaches in the amelioration of various anxiety and related disorders. Limitations include the small sample size and uncontrolled design.

Improving university students' mental health using multi-component and single-component sleep interventions: A systematic review and meta-analysis

University is a time of significant transitions during a young adult's life, with delayed and shortened sleep and poor mental health a common occurrence. This systematic review and meta-analysis examined the effect of both multi-component and single-component sleep interventions on improving university students' sleep and mental health. Five databases (MEDLINE, PsycINFO, Embase, CINAHL and Cochrane Library) were searched for relevant literature published until April 2022. Treatment studies including university students aged 18-24 years, participating in a sleep intervention (multi-component, e.g., CBT-I, or single-component, e.g., sleep hygiene) were eligible. Comparator groups were either active, i.e., alternative intervention, or passive, i.e., waitlist control or treatment-as-usual, with study outcomes to include measures of sleep and mental health. Of 3435 references screened, 11 studies involving 5267 participants, with and without insomnia symptoms, were included for a narrative synthesis on intervention designs and methodology. Six studies eligible for meta-analyses showed a moderate effect of sleep interventions in reducing sleep disturbance (SMD = -0.548 [CI: -0.837, -0.258]) at post-treatment, alongside a small effect in improving anxiety (SMD = -0.226 [CI: -0.421, -0.031]) and depression (SMD = -0.295 [CI: -0.513, -0.077]). Meta-regression examining study and intervention characteristics identified subpopulation (experiencing insomnia or not) as a significant moderator for effects on sleep (p = 0.0003) and depression (p = 0.0063), with larger effects in studies with participants experiencing insomnia. Comparison group type (active or passive) was also a significant moderator (p = 0.0474), with larger effects on sleep in studies using passive comparison groups. Study type, delivery format, and intervention duration were not identified as significant moderators. At follow-ups, small but significant effects were sustained for anxiety and depression. Protecting and promoting sleep amongst university students may help safeguard and advance mental health.

Are online mental health interventions for youth effective? A systematic review

OBJECTIVES

This systematic review aims to examine the effectiveness of online mental health interventions for youth.

METHODS

We searched seven electronic databases (PubMed, PsycINFO, Medline, Embase, CINAHL, Web of Science and SCOPUS) for the past 10 years to identify randomized controlled trials which have evaluated the use of telehealth interventions for young people with mental health problems. The included studies were assessed for quality and risk of bias.

RESULTS

Forty-five randomized controlled trials (n = 13,291 participants) were eligible for this review. Most studies (35 trials) evaluated the use of web-based self-help platforms to deliver cognitive behavioural therapy (14 trials), mindfulness (four trials), acceptance commitment therapy (five trials) and positive psychology (two trials). Mobile/computer applications were used to deliver cognitive behavioural therapy (four trials) and coping strategies training (two trials). Web-based synchronous chat (one trial) was used to assist communication between counsellors and participants. Three studies used artificial intelligence-based conversational agents to deliver cognitive behavioural therapy (two trials) and problem-solving-strategy training (one trial). Eighty-two percent (n = 37) identified the participants as student population (i.e. university students, high school students). Sixty-four percent (n = 29) of the telehealth interventions were found to be effective in managing depression, anxiety, stress, insomnia and improving quality of life when compared with control conditions.

CONCLUSIONS

Online mental health interventions were found to be effective in managing diverse mental health conditions among youth. Online self-help platforms were the most frequently used modality and artificial intelligence-based chatbots are merging as potential solutions. Future research is warranted to investigate the solutions to improve the retention rate and satisfaction of telehealth interventions among this population.