Electronic bridge to mental health for college students: A randomized controlled intervention trial

The Reach, Effectiveness, Adoption, Implementation, and Maintenance of Digital Mental Health Interventions for College Students: A Systematic Review

PURPOSE OF REVIEW

We evaluated the impact of digital mental health interventions (DMHIs) for college students. We organized findings using the RE-AIM framework to include reach, effectiveness, adoption, implementation, and maintenance.

RECENT FINDINGS

We conducted a systematic literature review of recent findings from 2019-2024. Our search identified 2,701 articles, of which 95 met inclusion criteria. In the reach domain, student samples were overwhelmingly female and White. In the effectiveness domain, over 80% of DMHIs were effective or partially effective at reducing their primary outcome. In the adoption domain, studies reported modest uptake for DMHIs. In the implementation and maintenance domains, studies reported high adherence rates to DMHI content. While recruitment methods were commonly reported, adaptations and costs of implementation and maintenance were rarely reported. DMHIs for college students are effective for many psychological outcomes. Future work should address diversifying samples and considering implementation in a variety of college settings.

A systematic review on eHealth technology personalization approaches

Despite the widespread use of personalization of eHealth technologies, there is a lack of comprehensive understanding regarding its application. This systematic review aims to bridge this gap by identifying and clustering different personalization approaches based on the type of variables used for user segmentation and the adaptations to the eHealth technology and examining the role of computational methods in the literature. From the 412 included reports, we identified 13 clusters of personalization approaches, such as behavior + channeling and environment + recommendations. Within these clusters, 10 computational methods were utilized to match segments with technology adaptations, such as classification-based methods and reinforcement learning. Several gaps were identified in the literature, such as the limited exploration of technology-related variables, the limited focus on user interaction reminders, and a frequent reliance on a single type of variable for personalization. Future research should explore leveraging technology-specific features to attain individualistic segmentation approaches.

Effectiveness and mediators of change of an online CBT intervention for students with adjustment disorder-study protocol for a randomized controlled trial

BACKGROUND

Adjustment problems and disorders are highly prevalent among university students worldwide. These problems can cause significant interference in academic and social functioning and increase vulnerability to other mental health disorders. Unfortunately, only half of students in need receive psychological help. Furthermore, few studies have evaluated psychological interventions for adjustment disorders in students. New, more scalable forms of treatment for students with an adjustment disorder need to be developed, evaluated, and implemented. The study aims to determine the effectiveness of an online transdiagnostic cognitive behavioural intervention for students experiencing adjustment disorder and to assess mediators of change.

METHOD/DESIGN

In this three-arm randomized controlled trial, we plan to recruit 214 Polish students diagnosed with an adjustment disorder. Participants who meet initial eligibility criteria will be randomly assigned to one of three 6-week conditions: (1) online cognitive behavioural therapy intervention based on an existing, empirically supported transdiagnostic protocol, the unified protocol; (2) online progressive muscle relaxation training as an active control group; or (3) waiting-list control group. Both interventions are asynchronous, interactive, and include minimal amount of therapist support. Assessments will consist of self-report questionnaires, daily diary measures, and neurocognitive tasks for evaluating cognitive functioning. These will be conducted at baseline, post-treatment, and 1-month follow-up. Daily diary measures will be taken during the first and last week of treatment (or waitlist period). Primary outcome measures will include adjustment disorder severity; secondary outcome measures will consist of other negative (psychopathology: depression, anxiety, and stress) and positive (life satisfaction) indexes of mental health as well as process measures (e.g. mindfulness, experiential avoidance, cognitive fusion).

DISCUSSION

To our knowledge, the current study is the first to evaluate the effectiveness of a psychological intervention for students with adjustment disorder. Therefore, it may have important practical implications for students with this disorder. It can potentially guide the development of a scalable, validated treatment option.

TRIAL REGISTRATION

Clinical Trials, NCT05768308, registered 14 March 2023, https://www.

CLINICALTRIALS

gov/ct2/show/NCT05768308.

A latent profile analysis of at-risk first-year undergraduate students

Objective: We examined whether meaningful subgroups of self-injurious behaviors (SIBs) would emerge within a pool of first-year college students already deemed at elevated risk. Participants: First-year undergraduates (N = 1,068) recruited in 2015-2018 Fall terms. Methods: Past-year nonsuicidal self-injury (NSSI) frequency, past-year number of NSSI methods used, lifetime suicide attempt (SA) history, and recency of SA were included in a latent profile analysis. Results: Four subgroups emerged: low SIB (n = 558, 52%), high NSSI only (n = 182, 17%), high SIB (n = 141, 13%), and high SA only (n = 187, 18%). Students in the high SIB group reported higher levels of suicidal ideation at baseline and follow-up in comparison to all groups. Those in the high NSSI only or high SIB groups had relatively higher levels of NSSI at baseline and follow-up. Conclusions: Findings highlight the amount of heterogeneity within a high-risk group, along with the importance of considering distal and proximal SIBs in university screening efforts.

Interventions for youth suicide and suicide-related behaviour: An update to a systematic review

OBJECTIVE

To update our 2018 review with the latest evidence from randomised controlled trials (RCTs) on the effectiveness of interventions to prevent youth suicide and suicide-related behaviour.

METHOD

In keeping with our 2018 review, Embase, PsycInfo, and Medline were searched using relevant key words. Included trials were RCTs evaluating the impact of an intervention or approach designed to prevent or reduce youth suicide and suicide-related behaviour. Key data were extracted, and results synthesised narratively.

RESULTS

Thirty RCTs were included across clinical (n = 13), educational (n = 8), and community settings (n = 9). No trials were conducted in workplace or primary care settings, or with indigenous populations, and few trials involved partnerships with young people. There were some concerns or a high risk of bias for most trials.

CONCLUSION

While a relatively large number of RCTs have been published in recent years, knowledge gaps remain. Further high-quality RCTs are needed, including those focussing on vulnerable population groups. Meaningful consumer involvement and a stronger emphasis on implementation are also recommended.

Suicidality and Alcohol Use as Predictors of Future Suicidal Behavior in College Students

AIMS

There has been a marked increase in suicide fatalities among college-age students in recent years. Moreover, heavy alcohol use, a well-known risk factor for suicide, is present on most campuses. Yet, no prospective studies have examined alcohol use patterns among college students as predictors of suicidal behaviors.

METHODS

Online of 40,335 students at four universities took place at the beginning of four academic years, 2015-2018. Of these, 2296 met criteria for an increased risk of suicidal behavior and completed 1- and/or 6-month follow-up evaluation(s). Baseline assessments included the Alcohol Use Disorders Identification Test to quantify alcohol consumption and resulting problems, and measures of depression, suicidal ideation and suicidal behavior.

RESULTS

Suicide attempts during follow-up were reported by 35 (1.5%) of high-risk students. Regression analyses indicated that baseline severity of alcohol use consequences, but not amount of alcohol consumption, was associated with greater odds of a follow-up suicide attempt after controlling for baseline suicidal ideation, functional impairment and history of suicide attempts.

CONCLUSIONS

Among college students at elevated risk for suicide, the severity of alcohol-related consequences was a significant predictor of future suicide attempts. Alcohol consumption was not a significant predictor, suggesting that the amount students drink is less of a concern for suicidal behavior than are the problems (e.g. failing to meet expectations, experiencing blackouts) associated with drinking.

Suicide risk profiles and barriers to professional help-seeking among college students with elevated risk for suicide

Suicide is the second leading cause of death among college students, yet many students with elevated suicide risk do not seek professional help. This study identified suicide risk profiles among college students and examined these in relation to students' perceived barriers to professional help-seeking. Data were obtained from college students (n = 1689) identified to be at elevated risk for suicide based at four US universities. Latent class analysis was performed to determine risk profiles, followed by examinations of differences in help-seeking barriers by profile groupings. Results revealed three student groupings: (1) moderate internalizing and externalizing symptoms (with low alcohol misuse), (2) highest internalizing and externalizing symptoms (with highest social disconnection), and (3) lowest internalizing symptoms and low externalizing (with highest social connection and alcohol misuse). Group 1 included the youngest and most racially and sexually diverse students, Group 2 endorsed the most help-seeking barriers, and Group 3 endorsed the fewest barriers. Group 2 is especially concerning, considering the severe clinical characteristics, high number of barriers, and low connectedness to others for potential support. Understanding these differences across risk and barrier profiles is an important step towards developing tailored approaches to increase mental health care in college populations.