Retiring, Rethinking, and Reconstructing the Norm of Once-Weekly Psychotherapy

Improvement and Maintenance of Clinical Outcomes in a Digital Mental Health Platform: Findings From a Longitudinal Observational Real-World Study

BACKGROUND

Digital mental health services are increasingly being provided by employers as health benefit programs that can improve access to and remove barriers to mental health care. Stratified care models, in particular, offer personalized care recommendations that can offer clinically effective interventions while conserving resources. Nonetheless, clinical evaluation is needed to understand their benefits for mental health and their use in a real-world setting.

OBJECTIVE

This study aimed to examine the changes in clinical outcomes (ie, depressive and anxiety symptoms and well-being) and to evaluate the use of stratified blended care among members of an employer-sponsored digital mental health benefit.

METHODS

In a large prospective observational study, we examined the changes in depressive symptoms (9-item Patient Health Questionnaire), anxiety symptoms (7-item Generalized Anxiety Disorder scale), and well-being (5-item World Health Organization Well-Being Index) for 3 months in 509 participants (mean age 33.9, SD 8.7 years; women: n=312, 61.3%; men: n=175, 34.4%; nonbinary: n=22, 4.3%) who were newly enrolled and engaged in care with an employer-sponsored digital mental health platform (Modern Health Inc). We also investigated the extent to which participants followed the recommendations provided to them through a stratified blended care model.

RESULTS

Participants with elevated baseline symptoms of depression and anxiety exhibited significant symptom improvements, with a 37% score improvement in depression and a 29% score improvement in anxiety (P values <.001). Participants with baseline scores indicative of poorer well-being also improved over the study period (90% score improvement; P=.002). Furthermore, over half exhibited clinical improvement or recovery for depressive symptoms (n=122, 65.2%), anxiety symptoms (n=127, 59.1%), and low well-being (n=82, 64.6%). Among participants with mild or no baseline symptoms, we found high rates of maintenance for low depressive (n=297, 92.2%) and anxiety (n=255, 86.7%) symptoms and high well-being (n=344, 90.1%). In total, two-thirds of the participants (n=343, 67.4%) used their recommended care, 16.9% (n=86) intensified their care beyond their initial recommendation, and 15.7% (n=80) of participants underused care by not engaging with the highest level of care recommended to them.

CONCLUSIONS

Participants with elevated baseline depressive or anxiety symptoms improved their mental health significantly from baseline to follow-up, and most participants without symptoms or with mild symptoms at baseline maintained their mental health over time. In addition, engagement patterns indicate that the stratified blended care model was efficient in matching individuals with the most effective and least costly care while also allowing them to self-determine their care and use combinations of services that best fit their needs. Overall, the results of this study support the clinical effectiveness of the platform for improving and preserving mental health and support the utility and effectiveness of stratified blended care models to improve access to and use of digitally delivered mental health services.

Serving the Underserved? Uptake, Effectiveness, and Acceptability of Digital SSIs for Rural American Adolescents

OBJECTIVE

Rural teens are less likely to access care for depression than urban teens. Evidence-based digital single-session interventions (SSIs), offered via social media advertisements, may be well suited to narrowing this gap in treatment access and increasing access to support for adolescents living in rural areas. We evaluated the viability of using social media-based advertisements to equitably recruit adolescents living in rural areas with elevated depression symptoms to digital SSIs; we sought to characterize and assess whether SSI completion rates and acceptability differed for adolescents living in rural versus more urban areas, across three intervention conditions (two active, evidence-based SSIs; one placebo control); and we tested whether digital SSIs differentially reduced depressive symptoms.

METHOD

We used pre-intervention and three-month follow up data from 13- to 16-year-old adolescents (N = 2,322; 88% female; 55% non-Hispanic White) within a web-based randomized control trial of three free, digital SSIs (ClinicalTrials.gov identifier: NCT04634903) collected eight months into the COVID-19 pandemic in the United States.

RESULTS

Digital SSIs reached adolescents at population-congruent rates; however, social media ads resulted in relative underrepresentation of youths from rural areas who hold minoritized racial/ethnic identities. Adolescents living in rural areas also completed digital SSIs at similar rates to their urban peers, found SSIs equivalently as acceptable, and reported comparable depression symptom reductions as youth living in urban areas.

CONCLUSION

Digital SSIs and their dissemination through social media may offer a promising means of narrowing the gap between access to evidence-based mental health support between adolescents living in rural and urban areas; however, targeted efforts are warranted to reach racially minoritized youths in rural U.S. counties.

Feasibility, Acceptability and Preliminary Implementation of the Cornerstone Program for Transition-Age Youth with Mental Health Conditions: A Mixed Methods Study

Transition-age youth with mental health conditions from low socio-economic backgrounds often drop out of mental health services and, as such, do not receive therapeutic doses of treatment. Cornerstone is an innovative team-based, multi-component intervention designed to address the clinical needs of this understudied population through coordination and extensive provision of services in vivo (in the community). The present study used a convergent parallel mixed-methods design. Researchers collected quantitative and qualitative data during a small developmental trial, analyzing the two data types independently and then exploring them side-by-side to evaluate feasibility, acceptability, and preliminary implementation. Semi-structured interviews and quantitative surveys were conducted with transition-age youth, clinic staff, and policy makers. Qualitative interview guides were developed using the Consolidated Framework for Implementation Research to build understanding on implementation determinants alongside feasibility and acceptability. A two-group preliminary randomized trial was conducted to assess feasibility outcomes, such as recruitment, randomization, measurement performance, and trends in pre- to post- outcomes. Using grounded theory coding techniques, transcripts were coded by multiple coders, and themes were identified on acceptability and implementation. The team recruited fifty-six transition-age youth. Randomization was used in the study and the intervention was provided without incident. Results suggest individual components with both the social worker and mentor were more acceptable to participants than group-based approaches. Thematic analyses revealed themes associated with the inner, outer, and policy contexts describing a range of critical implementation determinants. Findings suggest that Cornerstone is feasible, acceptable, and promising for transition-age youth. It represents an innovative multi-component intervention worth exploring for transition-age youth with mental health conditions in a larger efficacy trial.Trial registration: The trial was registered at ClinicalTrials.gov (NCT02696109) on 22 April 16, Protocol Record R34-MH102525-01A1, New York University, Cornerstone program for transition-age youth with serious mental illness: study protocol for a randomized controlled trial.

Community belongingness during COVID-19 predicts anxiety and depression treatment change in college students

OBJECTIVE

Community belongingness has been shown to be related to mental health outcomes in college students; however, little work has evaluated whether community belongingness impacts treatment change, especially during the COVID-19 pandemic, when social isolation and mental health concerns are exacerbated. Accordingly, the current study evaluated community belongingness as a predictor of treatment change for anxiety and depression in a university counseling center.

METHOD

Participants included 516 young adults with clinical levels of anxiety or depression who attended at least two individual therapy sessions at a university counseling center during fall 2020. Participants completed broad measures of psychosocial functioning at each session.

RESULTS

Paired-samples t-tests indicated that students demonstrated significant decreases in anxiety and depression after just one session. Linear stepwise regressions revealed that community belongingness was a significant predictor of symptom improvement for both anxiety and depression.

CONCLUSION

These results suggest improving community belongingness on college campuses may be a way to buffer mental health and improve treatment outcomes for students seeking psychological services. Specific clinical and educational recommendations for ways to improve community belongingness are discussed.

Just-in-Time Adaptive Interventions for Suicide Prevention: Promise, Challenges, and Future Directions

The suicide rate (currently 14 per 100,000) has barely changed in the United States over the past 100 years. There is a need for new ways of preventing suicide. Further, research has revealed that suicidal thoughts and behaviors and the factors that drive them are dynamic, heterogeneous, and interactive. Most existing interventions for suicidal thoughts and behaviors are infrequent, not accessible when most needed, and not systematically tailored to the person using their own data (e.g., from their own smartphone). Advances in technology offer an opportunity to develop new interventions that may better match the dynamic, heterogeneous, and interactive nature of suicidal thoughts and behaviors. Just-In-Time Adaptive Interventions (JITAIs), which use smartphones and wearables, are designed to provide the right type of support at the right time by adapting to changes in internal states and external contexts, offering a promising pathway toward more effective suicide prevention. In this review, we highlight the potential of JITAIs for suicide prevention, challenges ahead (e.g., measurement, ethics), and possible solutions to these challenges.

Extinction trial spacing across days differentially impacts fear regulation in adult and adolescent male mice

Fear regulation changes as a function of age and adolescence is a key developmental period for the continued maturation of fear neural circuitry. A consistent finding in the literature is diminished extinction retention in adolescents. However, these studies often directly compare adolescents to adults using a single protocol and therefore provide little insight into learning parameters that improve adolescent fear regulation. Studies in adults highlight the benefits of spaced learning over massed learning. These findings have been extended to fear regulation, with adult rodents exhibiting improved extinction learning and retention when cues are distributed over days versus a single session. However, similar studies have not been performed in adolescents. Here, we systematically examine the impact of trial spacing across days on fear regulation. Adolescent or adult male mice were exposed to one of three extinction paradigms that presented the same number of trials but differed in the temporal distribution of trials across days (one day, two days, or four days). We found that introducing consolidation events into the protocol improves adult extinction learning and short-term extinction retention but these effects disappear after two weeks. For adolescents, all three protocols were comparably effective in reducing freezing across extinction training and improved retention at both short-term and long-term fear recall time points relative to extinction-naive mice. These findings suggest that extinction protocols that incorporate consolidation events are optimal for adults but additional booster training may be required for enduring efficacy. In contrast, protocols incorporating either massed or spaced presentations show immediate and enduring benefits for adolescents.