Publications

OBJECTIVE: There is tremendous public health interest in cost-efficient, scalable interventions to improve post-disaster mental health. The authors examined the efficacy of Bounce Back Now (BBN), a mobile application, versus an enhanced usual care app (EUC).

METHODS: A population-based trial was conducted with a diverse sample of 1,357 adults affected by Hurricane Harvey, Irma, Maria, Florence, or Michael in 2017 and 2018. Participants were eligible if they were ≥18 years of age, had access to an Internet-accessible device, were English speaking, and lived in a hurricane-affected area. BBN is designed to address symptoms of posttraumatic stress, depression, and sleep disturbance using evidence-based techniques grounded in behavioral and cognitive principles. Depressive, posttraumatic stress, and sleep symptoms were measured.

RESULTS: Participants' accessing of the BBN and EUC apps was similar. Active engagement was significantly greater among BBN users than EUC users (d=0.31), but BBN users engaged more actively in coping skills activities than in more time-intensive elements designed to promote behavior change. Moderate symptom reduction was observed in both conditions; Cohen's d values for the 3-month postbaseline assessment ranged from 0.49 to 0.60 in the BBN condition and from 0.36 to 0.41 in the EUC condition. Latent change models revealed that BBN users had significantly greater reductions in depression, sleep difficulty, and PTSD symptoms than EUC users, and these differences were maintained at the 6-month and 12-month postbaseline assessments.

CONCLUSIONS: Population impact is driven by reach and effectiveness. The potential reach of BBN is high, which heightens opportunity for population-level impact, but per-user symptom reduction was modest. Per-user impact may be improved by embedding digital health resources in the context of a broader health care strategy.

BACKGROUND/OBJECTIVES: Overweight and obesity drive cardiometabolic disease and high-intensity lifestyle interventions are standard. However, many health-systems cannot offer these interventions and many patients cannot participate even when available. Trials have assessed automated digital lifestyle interventions to improve accessibility. This systematic review identified automated digital lifestyle interventions and assessed their impact on weight loss.

SUBJECTS/METHODS: The review (CRD42023435700) identified randomized controlled trials of at least 3-months duration assessing automated digital lifestyle interventions' impact on weight loss. Data were managed through Covidence with double-blinded screening of titles/abstracts and double-blinded full-text review to determine study inclusion. Data extraction was completed by one reviewer (NWC) and verified by a second (MM, JS, TE, CE). The Cochrane Collaboration's tool was used to assess bias risk and study quality was rated as High, Moderate, Low, or Very Low.

RESULTS: The search identified 1817 citations. The full-text of 60 reports were assessed and 17 reports of 16 studies were included. The majority (63%) were of moderate quality. No intervention produced 5% weight loss from baseline. Intervention components with the largest impact were text message encouragement and education with a cognitive behavioral approach. No specific form of self-monitoring was most effective, though some form of self-monitoring was included in most trials.

CONCLUSIONS: Some components of the automated digital lifestyle interventions showed promise. Research is needed to optimize these components (e.g., tailored messaging, cognitive-behavioral approaches) balanced with human contact. Considering the magnitude of the problem and its disproportionate impact on low socioeconomic and minority patients, interventions optimized for effect and scalability are needed to address overweight and obesity.

BACKGROUND: Mental health care providers have widely adopted telemedicine since the onset of the COVID-19 pandemic. Some providers have reported difficulties in implementing telemedicine and are still assessing its sustainability for their practices. Recommendations, best practices, and guidelines for telemedicine-based mental health care (ie, telemental health care [TMH]) have been published, but the nature and extent of this guidance have not been assessed.

OBJECTIVE: We aimed to determine (1) the form of TMH guidelines and recommendations presented to providers, (2) the most commonly presented recommendations and guidelines, and (3) the perceived benefits and challenges of these TMH guidelines and recommendations.

METHODS: Through our scoping review of practice guidelines, we aimed to identify themes in TMH guidelines and clinical recommendations published between 2020 and 2024 in peer-reviewed journals. This review focused on the first 2 years of the COVID-19 pandemic to identify and characterize the available TMH guidance. We searched PubMed/MEDLINE and ScienceDirect for articles in peer-reviewed journals published between January 1, 2020, and July 16, 2024. We included articles that were available in English and presented recommendations, best practices, or guidelines for TMH. We excluded duplicates, articles unrelated to telehealth, brief editorial introductions, and those not publicly available. We applied the Healthcare Provider Taxonomy of the National Uniform Claim Committee to article titles and abstracts to identify records relevant to mental health. We used content and thematic analyses to identify key themes.

RESULTS: Of the 1348 articles retrieved, we identified 76 that matched our criteria. Through content and thematic analyses, we identified 3 main themes-along with subthemes and topics-related to Facilitators, Concerns, and Changes Advised. The majority of articles called for further research (59/76) and for telemental health education and innovation in some form (43/76) regarding advised changes. Twenty-four articles included specific guidelines, recommendations, or checklists for providers.

CONCLUSIONS: The results highlight the need for further large-scale research to support the development of effective guidelines and protocols for therapy plans. Although TMH care is widespread, scholarly work emphasizes the need for a stronger evidence base that includes testing protocols in diverse settings and populations. The results also underscore the importance of increasing health professionals' knowledge of regulatory compliance and providing them with adequate TMH practice education.

BACKGROUND: Virtual reality (VR) has strong potential to enhance the effectiveness of telemental health care (TMH) by providing accessible, personalized treatment from home. While there is ample research supporting VR for in-person treatment, there is only preliminary data on the efficacy of telemedicine-based VR. Furthermore, the majority of VR apps used in therapy are not designed for mental health care. VR has the potential to enhance TMH through innovative technology solutions designed specifically for the enhancement of remotely delivered evidence-based practices. This feasibility randomized controlled efficacy trial aims to fill both of these gaps by piloting a novel telemedicine-based VR app (Doxy.me VR) equipped with animal phobia exposure stimuli.

OBJECTIVE: This is a feasibility randomized controlled efficacy trial comparing exposure therapy via a telemedicine-based VR clinic versus standard TMH with adults with an intense fear of dogs, snakes, or spiders. The primary objective is to assess the feasibility of a fully powered trial. The secondary objective is to conduct a preliminary examination of clinical outcomes (eg, specific phobia symptoms).

METHODS: This single-site trial will enroll a minimum of 30 and a maximum of 60 adults with self-reported fear of dogs, snakes, or spiders. Potential participants will be recruited through clinical trial and research recruitment websites and posting flyers. All self-report assessments and homework will be partially automated using REDCap (Research Electronic Data Capture; Vanderbilt University) forms and surveys, but the baseline assessment of phobia symptoms and exposure intervention will be administered by the study therapist.

RESULTS: The feasibility of the proposed trial methodology will be assessed using enrollment, retention, assessment completion, and treatment protocol fidelity benchmarks. Between-group differences in specific phobia, anxiety, and depression symptoms while covarying for pretreatment scores, will be conducted using repeated measures ANOVA along with differences in therapeutic alliance and presence. Data obtained from these analyses will inform power analyses for a fully powered efficacy trial. In total, 54 participants were randomized between October 25, 2023, and July 26, 2024 (Doxy.me VR n=28 and TMH n=26). Data analysis will be completed and submitted by the end of the second quarter of 2025.

CONCLUSIONS: This feasibility randomized controlled trial comparing Doxy.me VR versus TMH aims to enhance the delivery of evidence-based treatments via telemedicine and reduce barriers to remotely delivered exposure therapy. This feasibility trial will be followed by a fully powered efficacy trial on telemedicine-based VR for animal phobias.

TRIAL REGISTRATION: ClinicalTrials.gov NCT06302868; https://clinicaltrials.gov/study/NCT06302868.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/65770.

BACKGROUND: In response to the COVID-19 pandemic, the United States extended regulatory flexibilities to make telemedicine more accessible to providers and patients. Some of these flexibilities allowed providers to intake patients over telemedicine and prescribe certain scheduled medications without an in-person visit.

OBJECTIVE: We aim to understand providers' parameters for their comfort in prescribing over telemedicine and report on solutions providers have adopted in response to potential barriers and challenges in prescribing via telemedicine.

METHODS: As part of a larger mixed methods study between February and April 2024, we conducted 16 semistructured interviews with mental health providers who prescribe via telemedicine within the United States. We used the results of a web-based, cross-sectional survey to develop a codebook and support recruitment. We analyzed a subsection of the 16 interviews using content analysis to capture comfort, barriers, and workarounds in telemedicine prescribing. We reported codes by frequency and by provider.

RESULTS: Participants were typically male (11/16, 69%), provided care mostly or completely over telemedicine (11/16, 69%), and were psychiatrists (8/16, 50%) or other physician (3/16, 19%). Providers' primary states (10/16, 62%) of practice included Oregon, Texas, New York, and California. The content analysis yielded a total of 234 codes, with three main codes-comfort (98/234, 41.9%), barriers or challenges (85/234, 36.3%), and workarounds or solutions (27/234, 11.5%)-and two subcodes-uncomfortable prescribing (30/98, 31%) and comfortable prescribing (68/98, 69%) over telemedicine. Participants reported being comfortable prescribing over telemedicine as long as they could meet their main parameters of working within their expertise, having access to needed patient health information, and being compliant with rules and regulations. Participants reported frustrations with e-prescription workflows and miscommunications with pharmacies. Solutions to ease frustrations and alleviate discomforts in prescribing over telemedicine included developing workflows to help patients complete laboratory tests and physical examinations and directly communicating with pharmacies.

CONCLUSIONS: By applying content analysis to the semistructured provider interviews, we found that physicians are comfortable prescribing via telemedicine when they feel they are practicing within their personal parameters for safety. While many providers experience frustrations such as miscommunication with pharmacies, these barriers appear to not prevent them from telemedicine prescribing. With expected changes in 2024 and 2025 to the US laws and regulations for telemedicine prescribing, we may see changes in provider comfort in prescribing.

BACKGROUND: In the postpandemic era, telemedicine continues to enable mental health care access for many people, especially persons living in areas with mental health care provider shortages. However, as lawmakers consider long-term telemedicine policy decisions, some question the safety and appropriateness of prescribing via telemedicine, and whether there should be requirements for in-person evaluation, especially for controlled substances.

OBJECTIVE: Our objective was to assess US telemental health care provider perceptions of comfort and perceived safety in prescribing medications, including controlled substances, via telemedicine.

METHODS: We conducted a web-based, cross-sectional survey of US telemental health care providers who prescribe via telemedicine, using nonprobability, availability sampling of a national telehealth research panel from February 13 to April 28, 2024. We used descriptive statistics, visualization, and thematic analysis to analyze results. We assessed differences in response distribution by health care provider licensure type (physician vs nonphysician) and specialty (psychiatry vs nonpsychiatry) using the Mann-Whitney U test.

RESULTS: A total of 115 screened and eligible panelists completed the survey. Overall, participants indicated high levels of comfort with prescribing via telemedicine, with 84% (102/115) of health care providers indicating they strongly agree with the statement indicating comfort in prescribing medications via telemedicine. However, participants indicated less comfort in prescribing if they have never seen a patient in person, or if the patient is located out-of-state. Most participants indicated they can safely prescribe controlled substances via telemedicine, without having previously provided care to a patient in person. However, 14.8% (17/115) to 19.1% (30/115) of health care providers (by schedule) felt that they could rarely or never safely prescribe controlled substances. There were some differences in perception of comfort and safety by licensure and specialty. Among controlled substance schedules, participants indicated the least perceived safety with schedule IV medications, and the most safety with schedule II and III medications.

CONCLUSIONS: These health care providers were highly comfortable prescribing both scheduled and unscheduled medications via telemedicine. Comfort and perceived safety with telemedicine prescribing varied somewhat by licensure type (physician vs nonphysician) and specialty (psychiatry vs nonpsychiatry). Perceived safety varied moderately for scheduled medications (controlled substances), especially for schedule IV and V medications. Participants indicated use of adaptive strategies to prescribe safely depending upon the clinical context. In ongoing efforts, we are analyzing additional survey results and conducting qualitative research related to telemedicine prescribing. A strong understanding of prescriber perspectives and experience with telemedicine prescribing is needed to support excellent clinical practice and effective policy making in the United States.

Cognitive training is a promising intervention for psychological distress; however, its effectiveness has yielded inconsistent outcomes across studies. This research is a pre-registered individual-level meta-analysis to identify factors contributing to cognitive training efficacy for anxiety and depression symptoms. Machine learning methods, alongside traditional statistical approaches, were employed to analyze 22 datasets with 1544 participants who underwent working memory training, attention bias modification, interpretation bias modification, or inhibitory control training. Baseline depression and anxiety symptoms were found to be the most influential factor, with individuals with more severe symptoms showing the greatest improvement. The number of training sessions was also important, with more sessions yielding greater benefits. Cognitive trainings were associated with higher predicted improvement than control conditions, with attention and interpretation bias modification showing the most promise. Despite the limitations of heterogeneous datasets, this investigation highlights the value of large-scale comprehensive analyses in guiding the development of personalized training interventions.

The US COVID-19 Public Health Emergency ended on May 11, 2023. Lawmakers and regulators extended some flexibilities while they deliberate effective long-term telemedicine policy. Here, we discuss critical challenges in telemedicine compliance and regulation grounded in scholarly literature and current events. We specifically consider obstacles and progress toward solutions in telemedicine law and regulation regarding privacy and security issues, care across state borders, and prescribing over telemedicine in the United States. We conclude that simplified policies are needed to keep telemedicine accessible to providers and patients and that current privacy and security measures need refinement to protect patients appropriately.

BACKGROUND: Homework is implemented with variable effectiveness in real-world therapy settings, indicating a need for innovative solutions to homework challenges. We developed Adhere.ly, a user-friendly, Health Insurance Portability and Accountability Act-compliant web-based platform to help therapists implement homework with youth clients and their caregivers. The initial version had limited functionality, was designed for youth clients and their caregivers, and required expanding available features and exercises to suit adult clients.

OBJECTIVE: The purpose of this study was to better understand barriers and potential solutions to homework implementation experienced by therapists seeing adult clients and obtain their input on new features and exercises that would enable Adhere.ly to better meet their needs when working with this population.

METHODS: This study used an exploratory, sequential mixed methods design that included 13 semistructured focus groups with mental health therapists and clinic leaders and a survey administered to 100 therapists. Analyses were performed using the NVivo qualitative analysis software and SPSS.

RESULTS: The findings revealed common barriers, such as clients and therapists being busy, forgetting to complete homework, managing multiple platforms and homework materials, and clients lacking motivation. Adhere.ly was perceived as a potential solution, particularly its user-friendly interface and SMS text-message based reminders. Therapists suggested integrating Adhere.ly with telemedicine and electronic health record platforms and adding more exercises to support manualized therapy protocols and therapy guides.

CONCLUSIONS: This study highlights the importance of technology-based solutions in addressing barriers to homework implementation in mental health treatment with adult clients. Adhere.ly shows promise in addressing these challenges and has the potential to improve therapy efficiency and homework completion rates. The input from therapists informed the development of Adhere.ly, guiding the expansion of features and exercises to better meet the needs of therapists working with adult clients.