EMA conducted via smartphone demonstrates initial feasibility among adults with TBI and presents numerous opportunities for long-term monitoring of mood-related symptoms in real-world settings.

Introduction: The Autism Diagnostic Observation Schedule (ADOS) Module 4 is an autism assessment designed for verbally fluent adolescents and adults. Because of a shortage of available clinical expertise, it can be difficult for adults to receive a proper autism spectrum disorder (ASD) diagnostic assessment. A potential option to address this shortage is remote assessment. The objective of this study was to examine the feasibility, usability, and reliability of administering the ADOS Module 4 remotely using the Versatile and Integrated System for Telerehabilitation (VISYTER). Materials and Methods: VISYTER consists of computer stations at the client site and clinician site for video communication and a Web portal for managing and coordinating the assessment process. Twenty-three adults with an ASD diagnosis participated in a within-subject crossover design study in which both a remote ADOS and a face-to-face ADOS were administered. After completing the remote ADOS, participants completed a satisfaction survey. Results: Participant satisfaction with the remote ADOS delivery system was high. The kappa value was greater than 0.61 on 21 of 31 ADOS items. There was substantial agreement on ADOS classification (i.e., diagnosis) between assessments delivered face-to-face versus assessments delivered remotely (interclass coefficient = 0.92). Nonagreement may have been due to outside factors or practice effect despite a washout period. Conclusions: The results of this study demonstrate that an autism assessment designed to be delivered face to face can be administered remotely using an integrated Web-based system with high levels of usability and reliability.

We developed a telehealth system to administer an autism assessment remotely. The remote assessment system integrates videoconferencing, stimuli presentation, recording, image and video presentation, and electronic assessment scoring into an intuitive software platform. This is an advancement over existing technologies used in telemental health, which currently require several devices. The number of children, adolescents, and adults with autism spectrum disorders (ASDs) has increased dramatically over the past 20 years and is expected to continue to increase in coming years. In general, there are not many clinicians trained in either the diagnosis or treatment of adults with ASD. Given the number of adults with autism in need, a remote assessment system can potentially provide a solution to the lack of trained clinicians. The goal is to make the remote assessment system as close to face-to-face assessment as possible, yet versatile enough to support deployment in underserved areas. The primary challenge to achieving this goal is that the assessment requires social interaction that appears natural and fluid, so the remote system needs to be able to support fluid natural interaction. For this study we developed components to support this type of interaction and integrated these components into a system capable of supporting the entire autistic assessment protocol. We then implemented the system and evaluated the system on real patients. The results suggest that we have achieved our goal in developing a system with high-quality interaction that is easy to use.

The versatile and integrated system for telerehabilitation (VISYTER) is a software platform for developing various telerehabilitation applications. VISYTER has been designed to take into account the environments and requirements of rehabilitation services. The requirements considered in the platform design include minimal equipment beyond what is available in many rehabilitation settings, minimal maintenance, and ease of setup and operation. In addition, the platform has been designed to be able to adjust to different bandwidths, ranging from the very fast new generation of Internet to residential broadband connections. VISYTER is a secure integrated system that combines high-quality videoconferencing with access to electronic health records and other key tools in telerehabilitation such as stimuli presentation, remote multiple camera control, remote control of the display screen, and an eye contact teleprompter. The software platform is suitable for supporting low-volume services to homes, yet scalable to support high-volume enterprise-wide telehealth services. The VISYTER system has been used to develop a number of telerehabilitation applications, including a remote wheelchair prescription, adult autistic assessments, and international physical therapy teleconsultations. An evaluation of VISYTER for delivering a remote wheelchair prescription was conducted on 48 participants. Results of the evaluation indicate a high level of satisfaction from patients with the use of VISYTER. The versatility and cost-effectiveness of the platform has the potential for a wide range of telerehabilitation applications and potentially may lower the technical and economic barriers of telemedicine adoption.

BackgroundAlthough evidence-based cognitive behavioral sleep treatments have been shown to be safe and effective, these treatments have limited scalability. Mobile health tools can address this scalability challenge. iREST, or interactive Resilience Enhancing Sleep Tactics, is a mobile health platform designed to provide a just-in-time adaptive intervention (JITAI) in the assessment, monitoring, and delivery of evidence-based sleep recommendations in a scalable and personalized manner. The platform includes a mobile phone–based patient app linked to a clinician portal.ObjectiveThe first aim of the pilot study was to evaluate the effectiveness of JITAI using the iREST platform for delivering evidence-based sleep interventions in a sample of military service members and veterans. The second aim was to explore the potential effectiveness of this treatment delivery form relative to habitual in-person delivery.MethodsIn this pilot study, military service members and veterans between the ages of 18 and 60 years who reported clinically significant service-related sleep disturbances were enrolled as participants. Participants were asked to use iREST for a period of 4 to 6 weeks during which time they completed a daily sleep/wake diary. Through the clinician portal, trained clinicians offered recommendations consistent with evidence-based behavioral sleep treatments on weeks 2 through 4. To explore potential effectiveness, self-report measures were used, including the Insomnia Severity Index (ISI), the Pittsburgh Sleep Quality Index (PSQI), and the PSQI Addendum for Posttraumatic Stress Disorder.ResultsA total of 27 participants completed the posttreatment assessments. Between pre- and postintervention, clinically and statistically significant improvements in primary and secondary outcomes were detected (eg, a mean reduction on the ISI of 9.96, t26=9.99, P<.001). At posttreatment, 70% (19/27) of participants met the criteria for treatment response and 59% (16/27) achieved remission. Comparing these response and remission rates with previously published results for in-person trials showed no significant differences.ConclusionParticipants who received evidence-based recommendations from their assigned clinicians through the iREST platform showed clinically significant improvements in insomnia severity, overall sleep quality, and disruptive nocturnal disturbances. These findings are promising, and a larger noninferiority clinical trial is warranted.

Objective This study aimed to test the efficacy of self‐monitoring and feedback (SM+FB) versus SM without FB (SM) in a behavioral weight‐loss intervention at 6 months. Methods This was a randomized clinical trial. Eligibility criteria included the following: ≥18 years of age, BMI ≥ 27 and ≤43, smartphone user, and ability to engage in moderate physical activity. All participants received a 90‐minute 1:1 counseling session, a Fitbit Charge 2, and a digital scale for SM. SM+FB participants were provided access to a customized smartphone application that provided three daily FB messages. The primary outcome was percentage of weight change from 0 to 6 months. Results The sample (N = 502) was 45 (SD 14.4) years old, BMI was 33.7 (SD 4.00) kg/m2, 79.5% of participants were female (n = 399), and 84.3% were White (n = 423). At 6 months, there was 85.86% retention and a significant percentage of weight change in both groups (SM+FB: −3.16%, 95% CI: −3.85% to −2.47%, p < 0.0001; SM: −3.20%, 95% CI: −3.86% to −2.54%, p < 0.0001) but no significant between‐group mean difference (−0.04%, 95% CI: −0.99% to 0.91%, p = 0.940). A ≥5% weight loss was achieved by 31.9% of the SM+FB group and 28.3% of the SM group. Conclusions There was no significant between‐group difference in weight loss at 6 months.

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BackgroundHealthy sleep is a fundamental component of physical and brain health. Insomnia, however, is a prevalent sleep disorder that compromises functioning, productivity, and health. Therefore, developing efficient treatment delivery methods for insomnia can have significant societal and personal health impacts. Cognitive behavioral therapy for insomnia (CBTI) is the recommended first-line treatment of insomnia but access is currently limited for patients, since treatment must occur in specialty sleep clinics, which suffer from an insufficient number of trained clinicians. Smartphone-based interventions offer a promising means for improving the delivery of CBTI. Furthermore, novel features such as real-time monitoring and assessment, personalization, dynamic adaptations of the intervention, and context awareness can enhance treatment personalization and effectiveness, and reduce associated costs. Ultimately, this “Just in Time Adaptive Intervention” for insomnia—an intervention approach that is acceptable to patients and clinicians, and is based on mobile health (mHealth) platform and tools—can significantly improve patient access and clinician delivery of evidence-based insomnia treatments.ObjectiveThis study aims to develop and assess the usability of a Just in Time Adaptive Intervention application platform called iREST (“interactive Resilience Enhancing Sleep Tactics”) for use in behavioral insomnia interventions. iREST can be used by both patients and clinicians.MethodsThe development of iREST was based on the Iterative and Incremental Development software development model. Requirement analysis was based on the case study’s description, workflow and needs, clinician inputs, and a previously conducted BBTI military study/implementation of the Just in Time Adaptive Intervention architecture. To evaluate the usability of the iREST mHealth tool, a pilot usability study was conducted. Additionally, this study explores the feasibility of using an off-the-shelf wearable device to supplement the subjective assessment of patient sleep patterns.ResultsThe iREST app was developed from the mobile logical architecture of Just in Time Adaptive Intervention. It consists of a cross-platform smartphone app, a clinician portal, and secure 2-way communications platform between the app and the portal. The usability study comprised 19 Active Duty Service Members and Veterans between the ages of 18 and 60. Descriptive statistics based on in-app questionnaires indicate that on average, 12 (mean 12.23, SD 8.96) unique devices accessed the clinician portal per day for more than two years, while the app was rated as “highly usable”, achieving a mean System Usability Score score of 85.74 (SD 12.37), which translates to an adjective rating of “Excellent”. The participants also gave high scores on “ease of use and learnability” with an average score of 4.33 (SD 0.65) on a scale of 1 to 5.ConclusionsiREST provides a feasible platform for the implementation of Just in Time Adaptive Intervention in mHealth-based and remote intervention...