Croarkin, Paul E

ABSTRACT Adherence in digital health studies with extended observation periods (≥ 12 months) is limited, and participant retention considerably reduces with time. The US Food and Drug Administration has issued guidelines for improving participant engagement, adherence, and diversity in digital health studies combined with decentralized procedures. A decentralized digital health study on well‐being was designed with protocolized procedures to study the feasibility of participant engagement and technology support to facilitate adherence (wearing the smartwatch ≥ 70% of time) sustained over a 12‐month period. At the end of the study, participants were asked about their ease of participation and free‐response questions about how wearing the smartwatches impacted their physical wellness. An inductive thematic analysis (ITA) was performed to assess themes of those responses and association with adherence. A total of 298 participants were recruited between 2022 and 2023 ( n = 129 in Cohort A in October 22, n = 169 in Cohort B in April 23), with 23% non‐white participants accrued. Among the 298 participants accrued, 273 (92% of accrued participants) completed the 12‐month study with an average overall adherence of 77.4% (SD = 32.64) wear‐time across 12 months. Median adherence of participants whose responses exemplified an ITA theme encompassing perceived behavior changes in sleep and physical activity was higher than those who did not have a response exemplifying that theme. Conversely, those expressing perceived discomfort or intrusiveness of the smartwatch had a statistically lower adherence. These results highlight the crucial roles of technology support and robust engagement efforts to enable sustained adherence over extended follow‐up periods in decentralized digital health studies.

Interest in psychedelic therapies for adults is rapidly growing, with substances like 3,4-methylenedioxymethamphetamine for posttraumatic stress disorder, psilocybin for treatment-resistant depression, and lysergic acid diethylamide for generalized anxiety disorder showing promise. However, research on these therapies in children and adolescents is limited, with no recent trials. Despite this lack of scientific exploration, adolescents may still experiment with these substances for both recreational and therapeutic purposes as accessibility continues to increase. This raises significant concerns, as adolescents are a vulnerable population requiring heightened caution and safety measures. Therefore, we advocate for structured, safe, and well-controlled exploration of psychedelic therapies in adolescents.

In the Sustainable Development Goals of the United Nations for 2030, mental health has been identified as a global priority, emphasizing the need to reduce the prevalence, morbidity, and premature mortality associated with mental disorders [...]

Introduction: Transcranial magnetic stimulation (TMS) is a promising intervention for adolescents with treatment-resistant depression (TRD). However, the durability of TMS-related improvement in adolescents is unclear. This 6-month study followed adolescents with TRD who had responded to TMS and provided TMS retreatment for adolescents with a partial relapse. Methods: The study enrolled adolescents (12–21 years) with TRD who had at least a partial response to sham or active TMS in a randomized controlled trial. Partial response was defined as ≥25% reduction of Hamilton Depression Rating Scale-24 (HAMD24). Participants with a partial relapse (≥1 point increase in Clinical Global Impression–Severity) received retreatment with daily 10 Hz TMS sessions until depressive symptom severity returned to the baseline score or after 30 TMS treatments. Results: There were 84 eligible participants, 66 were enrolled, and 41 completed the 6-month study. Twenty-eight participants (42%) were retreated with TMS. TMS retreatment courses had a mean of 22 sessions. At the 6-month follow-up, the complete sample exhibited reduced depressive symptoms (mean HAMD24 of 5.24) compared with baseline at entry into follow-up (mean HAMD24 of 8.21). Baseline depressive symptom severity was positively correlated with the risk of partial relapse, while the number of previous TMS interventions showed no correlation with the risk of partial relapse. TMS was well tolerated. Conclusions: This is the largest, long-term follow-up study with TMS retreatment for adolescents with TRD. These findings demonstrate the feasibility and clinical effects of a TMS retreatment protocol for adolescents with TRD, following a standard course of acute TMS.

Abstract Pharmacogenomic (PGx) biomarkers integrated using machine learning can be embedded within the electronic health record (EHR) to provide clinicians with individualized predictions of drug treatment outcomes. Currently, however, drug alerts in the EHR are largely generic (not patient‐specific) and contribute to increased clinician stress and burnout. Improving the usability of PGx alerts is an urgent need. Therefore, this work aimed to identify principles for optimal PGx alert design through a health‐system‐wide, mixed‐methods study. Clinicians representing multiple practices and care settings ( N = 1062) in urban, rural, and underserved regions were invited to complete an electronic survey comparing the usability of three drug alerts for citalopram, as a case study. Alert 1 contained a generic warning of pharmacogenomic effects on citalopram metabolism. Alerts 2 and 3 provided patient‐specific predictions of citalopram efficacy with varying depth of information. Primary outcomes included the System's Usability Scale score (0–100 points) of each alert, the perceived impact of each alert on stress and decision‐making, and clinicians' suggestions for alert improvement. Secondary outcomes included the assessment of alert preference by clinician age, practice type, and geographic setting. Qualitative information was captured to provide context to quantitative information. The final cohort comprised 305 geographically and clinically diverse clinicians. A simplified, individualized alert (Alert 2) was perceived as beneficial for decision‐making and stress compared with a more detailed version (Alert 3) and the generic alert (Alert 1) regardless of age, practice type, or geographic setting. Findings emphasize the need for clinician‐guided design of PGx alerts in the era of digital medicine.