Depression is a common, burdensome, often recurring mental health disorder that frequently goes undetected and untreated. Mobile phones are ubiquitous have an increasingly large complement of sensors can potentially be useful in monitoring behavioral patterns might indicative depressive symptoms.The objective this study was to explore the detection daily-life markers using mobile phone global positioning systems (GPS) usage sensors, their use identifying symptom severity.A total 40 adult...

Mobile phone sensors can be used to develop context-aware systems that automatically detect when patients require assistance. phones also provide ecological momentary interventions deliver tailored assistance during problematic situations. However, such approaches have not yet been treat major depressive disorder.The purpose of this study was investigate the technical feasibility, functional reliability, and patient satisfaction with Mobilyze!, a mobile phone- Internet-based intervention...

Background: Digital mental health tools have tended to use psychoeducational strategies based on treatment orientations developed and validated outside of digital health. These features do not map well the brief but frequent ways that people mobile phones phone apps today. To address these challenges, we a suite for depression anxiety called IntelliCare, each with focused goal interactional style. IntelliCare prioritize interactive skills training over education are designed short interactions.

Treatments for depression and anxiety have several behavioral psychological targets rely on varied strategies. Digital mental health treatments often employ feature-rich approaches addressing These treatments, optimized desktop computer use, are at odds with the ways people use smartphone applications. Smartphone tends to focus singular functions easy navigation desired tools. The IntelliCare suite of apps was developed address discrepancy between need diverse strategies constraints imposed...

Background IntelliCare is a modular platform that includes 12 simple apps targeting specific psychological strategies for common mental health problems. Objective This study aimed to examine the effect of 2 methods maintaining engagement with platform, coaching, and receipt weekly recommendations try different on depression, anxiety, app use. Methods A total 301 participants depression or anxiety were randomized 1 4 treatments lasting 8 weeks followed 6 months posttreatment. The trial used...

The assessment of behaviors related to mental health typically relies on self-report data. Networked sensors embedded in smartphones can measure some objectively and continuously, with no ongoing effort.This study aims evaluate whether changes phone sensor-derived behavioral features were associated subsequent symptoms.This longitudinal cohort examined continuously collected sensor data symptom severity data, every 3 weeks, over 16 weeks. participants recruited through national research...

Abstract While studies show links between smartphone data and affective symptoms, we lack clarity on the temporal scale, specificity (e.g., to depression vs. anxiety), person-specific (vs. group-level) nature of these associations. We conducted a large-scale ( n = 1013) smartphone-based passive sensing study identify within- between-person digital markers anxiety symptoms over time. Participants (74.6% female; M age 40.9) downloaded LifeSense app, which facilitated continuous collection GPS,...

The clinical assessment of severity depressive symptoms is commonly performed with standardized self-report questionnaires, most notably the patient health questionnaire (PHQ-9), which are usually administered in a clinic. These questionnaires evaluate that stable over time. Ecologic

Abstract Objective While depression and anxiety are common mental health issues, only a small segment of the population has access to standard one-on-one treatment. The use smartphone apps can fill this gap. An app recommender system may help improve user engagement these eventually symptoms. Methods IntelliCare was suite for anxiety, with Hub that provided recommendations aiming increase engagement. This study captured records 8057 users 12 apps. We measured overall app-specific usage...

There is growing interest in the potential for wearable and mobile devices to deliver clinically relevant information real-world contexts. However, there limited on their acceptability barriers long-term use people living with psychosis.

Digital mental health (DMH) interventions, such as text-message-based lessons and activities, offer immense potential for accessible support. While these interventions can be effective, real-world experimental testing further enhance their design impact. Adaptive experimentation, utilizing algorithms like Thompson Sampling (contextual) multi-armed bandit (MAB) problems, lead to continuous improvement personalization. However, it remains unclear when simultaneously increase user experience...

Abstract Background Sleep disruption is a common precursor to deterioration and relapse in people living with psychotic disorders. Understanding the temporal relationship between sleep psychopathology important for identifying developing interventions which target key variables that contribute relapse. Methods We used purpose-built digital platform sample self-reported over 1 year, 36 individuals schizophrenia. Once-daily measures of duration quality, fluctuations (positive negative affect,...

Social distancing and stay-at-home orders are critical interventions to slow down person-to-person transmission of COVID-19. While these societal changes help contain the pandemic, they also have unintended negative consequences, including anxiety depression. We developed StayWell, a daily skills-based SMS text messaging program, mitigate COVID-19-related depression symptoms among people who speak English Spanish in United States.This paper describes StayWell participants' levels after 60...

Background Digital and mobile health interventions using personalization via reinforcement learning algorithms have the potential to reach large number of people support physical activity help manage diabetes depression in daily life. Objective The Diabetes Mental Health Adaptive Notification Tracking Evaluation (DIAMANTE) study tested whether a digital intervention personalized text messaging could increase step counts diverse, multilingual sample with symptoms. Methods From January 2020...

ABSTRACT Outside of a laboratory environment, it has been difficult for researchers to collect both behavioral and self-reported Web use data from the same participants. To address this challenge, we created Roxy, which is software that collects real-world Web-use with participants' informed consent. Roxy gathers log as well text HTML code each page visited by In workbench note, describe Roxy's data-gathering capabilities search functions, then illustrate how used in multimethod study. The...

Although group-level evidence supports the use of behavioral interventions to enhance cognitive and emotional well-being, different may be more acceptable or effective for people. N-of-1 trials are single-patient crossover designed estimate treatment effectiveness in a single patient. We mobile health (mHealth) supported trial platform permitting US adult volunteers conduct their own 30-day self-experiments testing intervention choice (deep breathing/meditation, gratitude journaling,...

Young adults (ages 18-25) experience the highest levels of mental health problems any adult age group, but have lowest treatment rates. Text messages are most used feature on mobile phone and provide an opportunity to reach non-treatment engaged users throughout day in a conversational manner. We present design automated text message-based intervention for symptom self-management. The comprises: (1) psychological strategies (i.e., types evidence-based techniques leveraged achieve reduction)...

Prior literature links passively sensed information about a person's location, movement, and communication with social anxiety. These findings hold promise for identifying novel treatment targets, informing clinical care, personalizing digital mental health interventions. However, anxiety symptoms are heterogeneous; to identify more precise targets tailor treatments, there is need personal sensing studies aimed at understanding differential predictors of the distinct subdomains Our objective...

Bipolar disorder is a severe mental illness that results in significant morbidity and mortality. While pharmacotherapy the primary treatment, adjunctive psychotherapy can improve outcomes. However, access to therapy limited. Smartphones other technologies increase therapeutic strategies enhance self-management while simultaneously augmenting care by providing adaptive delivery of content users as well alerts providers facilitate clinical communication. Unfortunately, interventions are being...

In this paper, the authors evaluate ability to detect on-body device placement of smartphones. A feasibility study is undertaken with N=5 participants identify nine key locations, including in hand, thigh and backpack, using a multitude commonly available smartphone sensors. Sensors examined include accelerometer, magnetometer, gyroscope, pressure light Each sensor independently, potential contributions it can offer, before fused approach, all sensors adopted. total 139 features are...