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Background: Blended care therapy models are intended to increase the efficiency and effectiveness of evidence-based psychotherapy by combining synchronous and asynchronous components of care., Objective: This retrospective cohort study evaluated the clinical effects of synchronous video therapy sessions and asynchronous guided practice session elements on anxiety and depression in a blended care therapy program, with a novel focus on asynchronous provider feedback messages., Methods: Participants were adults (N=33,492) with clinical symptoms of anxiety (Generalized Anxiety Disorder 7-item scale [GAD-7] score of ≥8) and depression (Patient Health Questionnaire 9-item scale [PHQ-9] score of ≥10) at intake. Symptom trajectories were evaluated via individual growth curve models. Time-varying covariates evaluated effects of synchronous video session attendance and the presence or absence of each asynchronous guided practice session element occurring within 7 days and 8-14 days prior to each clinical outcome assessment. Guided practice session elements included client digital lesson completion, client digital exercise completion, and feedback messages sent by providers., Results: Approximately 86.6% (29,012/33,492) of clients met criteria for clinical improvement by end of care (median 6, IQR 4-8 synchronous sessions). Synchronous video session attendance and client digital lesson completion in the past 7 days and in the past 8-14 days were each uniquely and significantly associated with lower GAD-7 scores (video session effects: b session7 =-0.82, b session8-14 =-0.58, P values<.001; digital lesson effects: b lesson7 =-0.18, b lesson8-14 =-0.26, P values <.001) and PHQ-9 scores (video session effects: b session7 =-0.89, b session8-14 =-0.67, P values <.001; digital lesson effects: b lesson7 =-0.12, b lesson8-14 =-0.30, P values <.001). Client digital exercise completion in the past 8-14 days was significantly associated with lower GAD-7 scores (b exercise8-14 =-0.10; P<.001) but exercise completion in the 7 days prior to clinical outcome assessment was not (b exercise7 =0.00; P=.89). Exercise completion in the past 7 days was significantly associated with lower PHQ-9 scores (b exercise7 =-0.16; P<.001) but exercise completion in the past 8-14 days was not (b exercise8-14 =-0.05; P=.09). Provider feedback messaging in the past 7 days and in the past 8-14 days was significantly associated with lower GAD-7 and PHQ-9 scores, respectively (GAD-7: b feedback7 =-0.12, P<.001; b feedback8-14 =-0.07, P=.004; PHQ-9: b feedback7 =-0.15, P<.001; b feedback8-14 =-0.08, P=.01)., Conclusions: Provider feedback between synchronous therapy sessions provided significant benefit for symptom reduction, beyond the effects of client digital engagement and synchronous video sessions. When guided practice sessions are well integrated into care, blended care therapy provides meaningful improvements upon the traditional, synchronous session-only therapy model. Provider guidance and feedback for clients between synchronous sessions support more efficient and effective mental health care overall., (©Hallie M Espel-Huynh, Lu Wang, Emily G Lattie, Robert E Wickham, Alethea Varra, Connie E Chen, Anita Lungu, Jennifer L Lee. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 18.10.2024.)

Background: eHealth interventions have proven to be valuable resources for users with diverse mental and behavioral health concerns. As these technologies continue to proliferate, both academic researchers and commercial app creators are leveraging the use of features that foster a sense of social connection on these digital platforms. Yet, the literature often insufficiently represents the functionality of these key social features, resulting in a lack of understanding of how they are being implemented., Objective: This study aimed to conduct a methodical review of commercially available eHealth apps to establish the SoCAP (social communication, affiliation, and presence) taxonomy of social features in eHealth apps. Our goal was to examine what types of social features are being used in eHealth apps and how they are implemented., Methods: A scoping review of commercially available eHealth apps was conducted to develop a taxonomy of social features. First, a shortlist of the 20 highest-rated eHealth apps was derived from One Mind PsyberGuide, a nonprofit organization with trained researchers who rate apps based on their (1) credibility, (2) user experience, and (3) transparency. Next, both mobile- and web-based versions of each app were double-coded by 2 trained raters to derive a list of social features. Subsequently, the social features were organized by category and tested on other apps to ensure their completeness., Results: Four main categories of social features emerged: (1) communication features (videoconferencing, discussion boards, etc), (2) social presence features (chatbots, reminders, etc), (3) affiliation and identity features (avatars, profiles, etc), and (4) other social integrations (social network and other app integrations). Our review shows that eHealth apps frequently use resource-intensive interactions (eg, videoconferencing with a clinician and phone calls from a facilitator), which may be helpful for participants with high support needs. Furthermore, among commercially available eHealth apps, there is a strong reliance on automated features (eg, avatars, personalized multimedia, and tailored content) that enhance a sense of social presence without requiring a high level of input from a clinician or staff member., Conclusions: The SoCAP taxonomy includes a comprehensive list of social features and brief descriptions of how these features work. This classification system will provide academic and commercial eHealth app creators with an understanding of the various social features that are commonly implemented, which will allow them to apply these features to enhance their own apps. Future research may include comparing the synergistic effects of various combinations of these social features., (©Ian Kwok, Melanie Freedman, Lisa Kamsickas, Emily G Lattie, Dershung Yang, Judith Tedlie Moskowitz. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 03.09.2024.)

Background: As research on the use of mobile technology to deliver mental health support grows, the research from China is still very limited. How to design an acceptable and usable mobile mental health service model suitable for China's social and cultural environment remains to be studied., Objective: To understand the acceptability and usability of a WeChat-based intervention among Chinese patients with depression, and to provide insights to promote future development of user-centered mobile mental health services design., Methods: The research team developed a multi-theoretical intervention that includes seven modules: recovery lessons, recovery journal, coaching sessions, mindfulness, personalized support, regular assessments and feedback collection. Forty-two patients diagnosed with depressive disorder were recruited, with a mixed sample of patients who were using an antidepressant medication ( n  = 29) and patients who were not using an antidepressant medication ( n  = 13). A single-arm mixed-methods study was conducted to understand engagement, satisfaction, usability and potential clinical effectiveness of the intervention., Results: There was a retention rate of 83.33% - 22 participants who used an antidepressant medication and 13 participants who did not use an antidepressant medication completed the final assessments. The median (upper quartile-lower quartile) of the completed 60 recovery journals and 7 coaching sessions was 56 (59-46) and 6 (7-4) times, respectively. Participants' satisfaction regarding their recovery progress, and on perceived helpfulness on different modules were high. The overall score of the user version of the Mobile Application Rating Scale was 4.23 (SD 0.44, range 1-5), indicating high acceptability and usability. Qualitative feedback identified three key themes: an efficient access to professional help, a personalized source of social support, and a facilitator of cognitive and behavioral change., Conclusions: This study demonstrated that a WeChat-based intervention for depression was acceptable, and has the potential to promote personal recovery. More studies are needed to understand the efficacy and implementation of this model in real world., Competing Interests: The authors declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: Emily G. Lattie is currently employed by Lyra Health. All other authors have declared no conflicts of interest., (© The Author(s) 2024.)

Background: Alzheimer disease is a degenerative neurological condition that requires long-term care. The cost of these responsibilities is often borne by informal caregivers, who experience an elevated risk of negative physical and psychological outcomes. Previously, we designed a positive emotion regulation intervention that was shown to improve well-being among dementia caregivers when delivered through one-on-one videoconferencing lessons with a trained facilitator. However, the format required significant resources in terms of logistics and facilitator time. To broaden the reach of the intervention, we aimed to develop the Social Augmentation of Self-Guided Electronic Delivery of the Life Enhancing Activities for Family Caregivers (SAGE LEAF) program, an iteration of the intervention in a self-guided, web-based format with enhanced opportunities for social connection., Objective: The aim of this study was to gather feedback to inform the design of social features for the SAGE LEAF intervention. In the absence of a facilitator, our goal with the self-guided SAGE LEAF intervention was to integrate various social features (eg, discussion board, automated support, and profiles) to maximize engagement among participants., Methods: Qualitative data were collected from 26 individuals through (1) interviews with participants who completed a previous version of the intervention via videoconferencing with a facilitator, (2) focus groups with dementia caregivers who had not previously experienced the intervention, and (3) focus groups with Alzheimer disease clinical care providers. We conducted a qualitative thematic analysis to identify which social features would be the most helpful and how they could be implemented in a way that would be best received by caregivers., Results: Interview and focus group feedback indicated that participants generally liked the potential features suggested, including the discussion boards, multimedia content, and informational support. They had valuable suggestions for optimal implementation. For example, participants liked the idea of a buddy system where they would be matched up with another caregiver for the duration of the study. However, they expressed concern about differing expectations among caregivers and the possibility of matched caregivers not getting along. Participants also expressed interest in giving caregivers access to a podcast on the skills, which would allow them to review additional content when they wished., Conclusions: Taken together, the discussions with caregivers and providers offered unique insights into the types of social features that may be integrated into the SAGE LEAF intervention, as well as implementation suggestions to improve the acceptability of the features among caregivers. These insights will allow us to design social features for the intervention that are optimally engaging and helpful for caregivers., (©Ian Kwok, Emily Gardiner Lattie, Dershung Yang, Amanda Summers, Paul Cotten, Caroline Alina Leong, Judith Tedlie Moskowitz. Originally published in JMIR Formative Research (https://formative.jmir.org), 25.04.2024.)

Objective: The COVID-19 pandemic has drastically increased use of remote-delivered mental health services. This study identifies advantages and limitations of remote-delivered services on college campuses to inform mental health delivery post-pandemic. Methods: Clinicians ( n  = 30) were asked to evaluate COVID-19's impact on their work, environment, and wellness in an online survey. Qualitative data was coded using a thematic analysis approach, while quantitative data was analyzed using descriptive statistics. Results: Many clinicians reported benefits of remote services, including increased accessibility, greater convenience, no change in therapeutic alliance, and decreased stress for clinicians. Clinicians also experienced challenges such as social isolation, technological difficulties, and personal/family concerns. Clinicians envisioned a hybrid service combining online and in-person activities post-pandemic. Conclusions: Overall, remote-delivered mental health services on college campuses have potential in increasing treatment quality while highlighting a necessity for further research in hybrid mental health delivery., Supplemental data for this article can be accessed online at https://doi.org/10.1080/07448481.2022.2038178 .

Digital tools have potential to support collaborative management of mental health conditions, but we need to better understand how to integrate them in routine healthcare, particularly for patients with both physical and mental health needs. We therefore conducted interviews and design workshops with 1) a group of care managers who support patients with complex health needs, and 2) their patients whose health needs include mental health concerns. We investigate both groups' views of potential applications of digital tools within care management. Findings suggest that care managers felt underprepared to play an ongoing role in addressing mental health issues and had concerns about the burden and ambiguity of providing support through new digital channels. In contrast, patients envisioned benefiting from ongoing mental health support from care managers, including support in using digital tools. Patients' and care managers' needs may diverge such that meeting both through the same tools presents a significant challenge. We discuss how successful design and integration of digital tools into care management would require reconceptualizing these professionals' roles in mental health support.

As digital mental health interventions (DMHIs) proliferate, there is a growing need to understand the complexities of moving these tools from concept and design to service-ready products. We highlight five case studies from a center that specializes in the design and evaluation of digital mental health interventions to illustrate pragmatic approaches to the development of digital mental health interventions, and to make transparent some of the key decision points researchers encounter along the design-to-product pipeline. Case studies cover different key points in the design process and focus on partnership building, understanding the problem or opportunity, prototyping the product or service, and testing the product or service. We illustrate lessons learned and offer a series of questions researchers can use to navigate key decision points in the digital mental health intervention (DMHI) development process., Competing Interests: Jonah Meyerhoff has accepted consulting fees from Boehringer Ingelheim and Shirley Ryan Ability Lab. David C. Mohr has accepted honoraria and consulting fees from Otsuka Pharmaceuticals, Optum Behavioral Health, Centerstone Research Institute, and the One Mind Foundation, royalties from Oxford Press, and has an ownership interest in Adaptive Health, Inc. Emily Lattie and Miranda Beltzer are currently employed by Lyra Health. Ashley Knapp has accepted consulting fees from Woebot, Inc. Caitlin A. Stamatis has received salary and equity support from Akili Interactive Labs and Google. Bayley Taple is currently employed by BehaVR, Inc. Madhu Reddy has accepted consulting fees from Boehringer Ingelheim., (© 2023 The Authors.)

Background: The responsibilities of being a primary caregiver for a loved one with dementia can produce significant stress for the caregiver, leading to deleterious outcomes for the caregiver's physical and psychological health. Hence, researchers are developing eHealth interventions to provide support for caregivers. Members of our research team previously developed and tested a positive emotion regulation intervention that we delivered through videoconferencing, in which caregiver participants would meet one-on-one with a trained facilitator. Although proven effective, such delivery methods have limited scalability because they require significant resources in terms of cost and direct contact hours., Objective: This study aimed to conduct a pilot test of a socially enhanced, self-guided version of the positive emotion regulation intervention, Social Augmentation of Self-Guided Electronic Delivery of the Life Enhancing Activities for Family Caregivers (SAGE LEAF). Studies have shown that social presence or the perception of others in a virtual space is associated with enhanced learning and user satisfaction. Hence, the intervention leverages various social features (eg, discussion boards, podcasts, videos, user profiles, and social notifications) to foster a sense of social presence among participants and study team members., Methods: Usability, usefulness, feasibility, and acceptability data were collected from a pilot test in which participants (N=15) were given full access to the SAGE LEAF intervention over 6 weeks and completed preintervention and postintervention assessments (10/15, 67%). Preliminary outcome measures were also collected, with an understanding that no conclusions about efficacy could be made, because our pilot study did not have a control group and was not sufficiently powered., Results: The results suggest that SAGE LEAF is feasible, with participants viewing an average of 72% (SD 42%) of the total available intervention web pages. In addition, acceptability was found to be good, as demonstrated by participants' willingness to recommend the SAGE LEAF program to a friend or other caregiver. Applying Pearson correlational analyses, we found moderate, positive correlation between social presence scores and participants' willingness to recommend the program to others (r 9 =0.672; P=.03). We also found positive correlation between social presence scores and participants' perceptions about the overall usefulness of the intervention (r 9 =0.773; P=.009). This suggests that participants' sense of social presence may be important for the feasibility and acceptability of the program., Conclusions: In this pilot study, the SAGE LEAF intervention demonstrates potential for broad dissemination for dementia caregivers. We aim to incorporate participant feedback about how the social features may be improved in future iterations to enhance usability and to further bolster a sense of social connection among participants and study staff members. Next steps include partnering with dementia clinics and other caregiver-serving organizations across the United States to conduct a randomized controlled trial to evaluate the effectiveness of the intervention., (©Ian Kwok, Emily Gardiner Lattie, Dershung Yang, Amanda Summers, Veronika Grote, Paul Cotten, Judith Tedlie Moskowitz. Originally published in JMIR Aging (https://aging.jmir.org), 06.09.2023.)

Introduction: Care coordinators (CCs) are specialized healthcare providers and often the primary point of contact for patients with multiple medical and mental health comorbidities in integrated healthcare settings. Prior work shows CCs have lower comfort addressing mental health than physical health concerns. Digital mental health interventions can support CCs' management of patient mental health needs, but training gaps must be addressed prior to a digital mental health intervention's implementation., Methods: As part of a quality improvement initiative, a 1-hour training focused on the assessment and management of depression and suicide-related thoughts and behaviors was delivered to CCs within a large midwestern healthcare system's Division of Ambulatory Care Coordination. CCs completed online surveys prior to and following the training., Conclusion: Training resulted in increased comfort working with clinical populations, including patients who experience suicide-related thoughts and behaviors. Gains around screening for suicide risk were modest. Brief trainings for CCs can address training gaps, however, ongoing training and case consultation may also be indicated., Competing Interests: The author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: Jonah Meyerhoff has accepted consulting fees from Boehringer Ingelheim. David C. Mohr has accepted honoraria and consulting fees from Otsuka Pharmaceuticals, Optum Behavioral Health, Centerstone Research Institute, and the One Mind Foundation. He also receives royalties from Oxford University Press and has an ownership interest in Adaptive Health, Inc. Emily G. Lattie has accepted consulting fees from Modern Health and honoraria from Streamline Healthcare Solutions. None of the other authors have competing interests to declare., (© The Author(s) 2023.)

Mental health symptoms are commonly discovered in primary care. Yet, these settings are not set up to provide psychological treatment. Digital interventions can play a crucial role in stepped care management of patients' symptoms where patients are offered a low intensity intervention, and treatment evolves to incorporate providers if needed. Though digital interventions often use smartphone and wearable sensor data, little is known about patients' desires to use these data to manage mental health symptoms. In 10 interviews with patients with symptoms of depression and anxiety, we explored their: symptom self-management, current and desired use of sensor data, and comfort sharing such data with providers. Findings support the use digital interventions to manage mental health, yet they also highlight a misalignment in patient needs and current efforts to use sensors. We outline considerations for future research, including extending design thinking to wraparound services that may be necessary to truly reduce healthcare burden.

Background: Annual cognitive screening in adults aged >65 years can improve early detection of cognitive impairment, yet less than half of all cases are identified in primary care. Time constraints in primary care settings present a major barrier to routine screening. A remote cognitive screener completed on a patient's own smartphone before a visit has the potential to save primary care clinics time, encourage broader screening practices, and increase early detection of cognitive decline., Objective: We described the iterative design and proposed the implementation of a remote cognitive screening app, MyCog Mobile, to be completed on a patient's smartphone before an annual wellness visit. The research questions were as follows: What would motivate primary care clinicians and clinic administrators to implement a remote cognitive screening process? How might we design a remote cognitive screener to fit well with existing primary care workflows? What would motivate an older adult patient to complete a cognitive screener on a smartphone before a primary care visit? How might we optimize the user experience of completing a remote cognitive screener on a smartphone for older adults?, Methods: To address research questions 1 and 2, we conducted individual interviews with clinicians (n=5) and clinic administrators (n=3). We also collaborated with clinic administrators to create user journey maps of their existing and proposed MyCog Mobile workflows. To address research questions 3 and 4, we conducted individual semistructured interviews with cognitively healthy older adults (n=5) and solicited feedback from a community stakeholder panel (n=11). We also tested and refined high-fidelity prototypes of the MyCog Mobile app with the older adult interview participants, who rated the usability on the Simplified System Usability Scale and After-Scenario Questionnaire., Results: Clinicians and clinic administrators were motivated to adopt a remote cognitive screening process if it saved time in their workflows. Findings from interviews and user journey mapping informed the proposed implementation and core functionality of MyCog Mobile. Older adult participants were motivated to complete cognitive screeners to ensure that they were cognitively healthy and saw additional benefits to remote screening, such as saving time during their visit and privacy. Older adults also identified potential challenges to remote smartphone screening, which informed the user experience design of the MyCog Mobile app. The average rating across prototype versions was 91 (SD 5.18) on the Simplified System Usability Scale and 6.13 (SD 8.40) on the After-Scenario Questionnaire, indicating above-average usability., Conclusions: Through an iterative, human-centered design process, we developed a viable remote cognitive screening app and proposed an implementation strategy for primary care settings that was optimized for multiple stakeholders. The next steps include validating the cognitive screener in clinical and healthy populations and piloting the finalized app in a community primary care clinic., (©Stephanie Ruth Young, Emily Gardiner Lattie, Andrew B L Berry, Lynn Bui, Greg Joseph Byrne, Julia Noelani Yoshino Benavente, Michael Bass, Richard C Gershon, Michael S Wolf, Cindy J Nowinski. Originally published in JMIR Formative Research (https://formative.jmir.org), 10.01.2023.)

Background: Black college-aged men are less likely than their peers to use formal, therapeutic in-person services for mental health concerns. As the use of mobile technologies and social media platforms is steadily increasing, it is important to conduct work that examines the future utility of digital tools and technologies to improve access to and uptake of mental health services for Black men and Black men in college., Objective: The aim of this study was to identify and understand college-attending Black men's needs and preferences for using digital health technologies and social media for stress and mental health symptom management., Methods: Interviews were conducted with Black male students (N=11) from 2 racially diverse universities in the Midwestern United States. Participants were asked questions related to their current mental health needs and interest in using social media platforms and mobile-based apps for their mental health concerns. A thematic analysis was conducted., Results: Four themes emerged from the data: current stress relief strategies, technology-based support needs and preferences (subthemes: mobile-based support and social media-based support), resource information dissemination considerations (subthemes: information-learning expectations and preferences and information-sharing preferences and behaviors), and technology-based mental health support design considerations (subtheme: relatability and representation). Participants were interested in using social media and digital technologies for their mental health concerns and needs, for example, phone notifications and visual-based mental health advertisements that promote awareness. Relatability in the context of representation was emphasized as a key factor for participants interested in using digital mental health tools. Examples of methods for increasing relatability included having tools disseminated by minority-serving organizations and including components explicitly portraying Black men engaging in mental health support strategies. The men also discussed wanting to receive recommendations for stress relief that have been proven successful, particularly for Black men., Conclusions: The findings from this study provide insights into design and dissemination considerations for future work geared toward developing mental health messaging and digital interventions for young Black men., (©Kofoworola D A Williams, Clarisa Wijaya, Caitlin A Stamatis, Gabriel Abbott, Emily G Lattie. Originally published in JMIR Formative Research (https://formative.jmir.org), 31.08.2022.)

Background: Social media is widely accessible and increasingly utilized. Social media users develop hashtags and visual, text-based imagery to challenge misrepresentations, garner social support, and discuss a variety of mental health issues. Understanding how Black men are represented on social media and are using social media may be an avenue for promoting their engagement with and uptake of digital mental health interventions., Objective: The aim of this study was to conduct a content analysis of posts containing visual and text-based components related to representations of Black men's race, gender, and behaviors., Methods: An exploratory, descriptive content analysis was conducted for 500 Instagram posts to examine characteristics, content, and public engagement of posts containing the hashtags #theblackmancan and #blackboyjoy. Posts were selected randomly and extracted from Instagram using a social network mining tool during Fall 2018 and Spring 2019. A codebook was developed, and all posts were analyzed by 2 independent coders. Analyses included frequency counts and descriptive analysis to determine content and characteristics of posts. Mann-Whitney U tests and Kruskal-Wallis H tests were conducted to assess engagement associated with posts via likes, comments, and video views., Results: Of the 500 posts extracted, most were image based (368/500, 73.6%), 272/500 (54.4%) were posted by an individual and 135/500 (27.0%) by a community organization, 269/500 (53.8%) were posted by individuals from Black populations, and 177/500 (35.4%) posts contained images of only males. Posts depicted images of Black men as fathers (100/500, 20.0%), Black men being celebrated (101/500, 20.2%), and Black men expressing joy (217/500, 43.4%). Posts (127/500, 25.4%) also depicted Black men in relation to gender atypical behavior, such as caring for children or styling their children's hair. Variables related to education and restrictive affection did not show up often in posts. Engagement via likes (median 1671, P<.001), comments (P<.001), and views (P<.001) for posts containing #theblackmancan was significantly higher compared with posts containing #blackboyjoy (median 140). Posts containing elements of celebrating Black men (P=.02) and gender atypical behavior (P<.001) also had significantly higher engagement., Conclusions: This is one of the first studies to look at hashtag use of #blackboyjoy and #theblackmancan. Posts containing #blackboyjoy and #theblackmancan promoted positive user-generated visual and text-based content on Instagram and promoted positive interactions among Black and diverse communities. With the popularity of social media and hashtag use increasing, researchers and future interventional research should investigate the potential for such imagery to serve as culturally relevant design components for digital mental health prevention efforts geared towards Black men and the communities they exist and engage with., (©Kofoworola D A Williams, Sharyn A Dougherty, Emily G Lattie, Jeanine P D Guidry, Kellie E Carlyle. Originally published in JMIR Formative Research (https://formative.jmir.org), 01.08.2022.)

Objective To recognize gaps between students' expectations of college counseling centers and centers' current practices and to identify strategies to improve care from both clinicians and students. Participants: As part of an ongoing study on mobile technologies for stress management, we gathered data from counseling center clinicians and students at two large Midwestern universities. Methods: Clinicians completed online questionnaires on their current practices and interest in digital mental health tools. Students and clinicians completed co-design workshops. In subsequent individual interviews, students identified barriers to care. Results: Both students and clinicians recognized a need for stress management and mental health support outside of counseling sessions. Conclusions: Students and clinicians recognize barriers to face-to-face therapy and are eager to collaborate to identify opportunities to address barriers to mental health services. We discuss digital mental health tools as a potential opportunity for support and benefits of including students in discussions of treatment resources.

Digital tools can support individuals managing mental health concerns, but delivering sufficiently engaging content is challenging. This paper seeks to clarify how individuals with mental health concerns can contribute content to improve push-based mental health messaging tools. We recruited crowdworkers with mental health symptoms to evaluate and revise expert-composed content for an automated messaging tool, and to generate new topics and messages. A second wave of crowdworkers evaluated expert and crowdsourced content. Crowdworkers generated topics for messages that had not been prioritized by experts, including self-care, positive thinking, inspiration, relaxation, and reassurance. Peer evaluators rated messages written by experts and peers similarly. Our findings also suggest the importance of personalization, particularly when content adaptation occurs over time as users interact with example messages. These findings demonstrate the potential of crowdsourcing for generating diverse and engaging content for push-based tools, and suggest the need to support users in meaningful content customization.

Mental health concerns are common, and various evidence-based interventions for mental health conditions have been developed. However, many people have difficulty accessing appropriate mental health care and this has been exacerbated by the COVID-19 pandemic. Digital mental health services, such as those delivered by mobile phone or web-based platforms, offer the possibility of expanding the reach and accessibility of mental health care. To achieve this goal, digital mental health interventions and plans for their implementation must be designed with the end users in mind. In this Review, we describe the evidence base for digital mental health interventions across various diagnoses and treatment targets. Then, we explain the different formats for digital mental health intervention delivery, and offer considerations for their use across key age groups. We discuss the role that the COVID-19 pandemic has played in emphasizing the value of these interventions, and offer considerations for ensuring equity in access to digital mental health interventions among diverse populations. As healthcare providers continue to embrace the role that technology can play in broadening access to care, the design and implementation of digital mental healthcare solutions must be carefully considered to maximize their effectiveness and accessibility., Competing Interests: Competing interests E.G.L serves on the Scientific Advisory Board for Vault Health. A.K.G receives grant support from Adaptive Health, Inc.

Background: College students endorse high rates of mental health problems. While many colleges offer on-campus services, many students who could benefit from mental health services do not receive care. Indeed, nearly half of students who screen positive for depression, for example, do not receive treatment. Digital mental health programs, such as those delivered via mobile apps, may help expand access to mental health care and resources. This mixed-methods study aims to examine the uptake and effectiveness of an implementation of IntelliCare for College Students, a self-guided app-based mental health platform, on two university campuses., Methods: Data on counseling center utilization was collected prior to the implementation of the app (pre-implementation phase) and while the app was available on campus (implementation phase). Data on app usage was collected throughout the implementation phase. A subset of participants ( n  = 20), along with counseling center staff members ( n  = 10), completed feedback interviews., Results: Overall, uptake of the app platform was low. A total of 117 participants downloaded the app and registered their study ID during the implementation phase. Approximately 24% (28/117) of participants used the app only once. The number of days between the first and last day of app use ranged from 0 to 299, with a mean of 35.01 days and a median of 14 days. A relatively small portion of the sample (26.5%; 31/117) downloaded one or more of the IntelliCare interactive apps. In examining counseling center utilization, there were no significant changes in intake appointments, individual therapy sessions, or crisis appointments observed from the pre-implementation phase to the implementation phase of the study. Feedback interviews highlighted the significant level of disruption caused by the COVID-19 pandemic and shift to remote learning, including challenges disseminating information to students and a preference to spend less time with digital devices outside of class time., Conclusions: Findings from this study indicate that there is an ongoing need to identify ways to reach college students and support student mental health and wellness for the remainder of the COVID-19 pandemic and beyond., Competing Interests: The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: DM has accepted honoraria and consulting fees from Apple, Inc., Otsuka Pharmaceuticals, and the One Mind Foundation, royalties from Oxford Press, and has an ownership interest in Adaptive Health, Inc. which has a license from Northwestern University to commercialize IntelliCare. EL has received consulting fees from Actualize Therapy, LLC (last in June 2018), a company that formerly held the license to IntelliCare, and has received honoraria from Streamline Healthcare Solutions, LLC., (© 2022 The Authors. Published by Elsevier B.V.)

A large number of trials have consistently shown that guided digital mental health treatments (DMHTs) are effective for depression and anxiety. As DMHTs are adopted by healthcare organizations, payers, and employers, they are often considered most appropriate for people with mild-to-moderate levels of symptom severity. Thus, the aim of this study was to examine the effects of symptom severity on depression and anxiety outcomes and app use across three trials of a guided DMHT, IntelliCare. Participants were categorized into mild, moderate, moderately severe, and severe symptom severity groups on depression and anxiety. All symptom severity groups showed significant reductions in depression and anxiety in a clear ordinal pattern, with the mild symptom severity group showing the smallest changes and the severe symptom group showing the largest improvements. Those with the lowest levels of educational attainment showed the largest symptom improvement. Baseline symptom severity was not significantly related to app use. App use was significantly related to depression and anxiety outcomes. These findings suggest that depression and anxiety symptom severity is not useful in determining who should be referred to a guided DMHT., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Background: The fast development of mobile technologies provides promising opportunities to fulfill the largely unmet needs of treatment and recovery for mood disorders in China. However, with limited research from China, the development of acceptable and usable web-based mental health services that are based on preference of patients from China still remains a challenge., Objective: The aims of this paper were to (1) understand the experience of patients with mood disorders on current accessibility of mental health support in China; and (2) to get insights on patients' preferences on web-based mental health services, so as to provide suggestions for the future development of web-based mental health services for mood disorders in China., Methods: Semi-structured interviews were conducted with 10 female participants diagnosed with depression and 7 with bipolar disorder (5 female and 2 male) via the audio chat function of WeChat. The interviews were 60-90 min long and were audio-recorded and transcribed verbatim. Thematic analysis was conducted using QSR NVivo 12 to identify and establish themes and sub-themes., Results: Two major sections of results with a total of 5 themes were identified. The first section was participants' treatment and recovery experience, which included three main themes: (1) professional help seeking experience; (2) establishment of self-help strategies; and (3) complex experiences from various source of social support. The second section was focused on preferences for web-based services, which were divided into two themes: (1) preferred support and features, with three sub-themes: as channels to access professionals, as databases for self-help resources, and as sources of social support; and (2) preferred modality., Conclusions: The access to mental health support for personal recovery of mood disorders in China was perceived by participants as not sufficient. Web-based mental health services that include professional, empathetic social support from real humans, and recovery-oriented, personalized self-help resources are promising to bridge the gap. The advantages of social media like WeChat were emphasized for patients in China. More user-centered research based on social, economic and cultural features are needed for the development of web-based mental health services in China., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2021 The Authors.)

Objective: This study estimated the prevalence of self-reported symptoms of mental health problems and treatment utilization in a U.S. national sample of community college students and made comparisons with data from a sample of students at 4-year educational institutions., Methods: The study used data for 2016-2019 from the Healthy Minds Study, an annual cross-sectional survey. The sample included 10,089 students from 23 community colleges and 95,711 students from 133 4-year institutions. Outcomes were mental health symptom prevalence based on validated screening tools and rates of service utilization, such as use of therapy and psychotropic medication. Analyses were weighted by using survey nonresponse weights., Results: Prevalence rates were comparably high in the sample of community college and 4-year students, with just more than 50% of each group meeting criteria for one or more mental health problems. Analyses by age group revealed significantly higher prevalence for community college students ages 18-22 years, relative to their same-age peers at 4-year institutions. Community college students, particularly those from traditionally marginalized backgrounds, were significantly less likely to have used services, compared with students on 4-year campuses. Financial stress was a strong predictor of mental health outcomes, and cost was the most salient treatment barrier in the community college sample., Conclusions: This is the largest known study to report on the mental health needs of community college students in the United States. Findings have important implications for campus policies and programs and for future research to advance equity in mental health and other key outcomes, such as college persistence and retention.

In recent years, nontraditional mental healthcare services and tools (e.g., mobile apps, peer counselors, online support groups) have been developed to increase access to and utilization of behavioral health services. This study investigates how adolescents and younger adults use and perceive various nontraditional mental healthcare services in comparison to traditional services and in comparison to each other. A questionnaire-based study was conducted that included 203 participants between the ages of 17 and 37 (M = 25.01, SD = 5.04). Results showed that while usage rates of nontraditional mental health services were considerably high, the highest rates were reported for traditional services. Similarly, participants reported high levels of willingness to use nontraditional services, yet the highest levels of willingness were reported for traditional services. These findings suggest that the integration of nontraditional services with traditional services may be particularly impactful for young people., (© 2021. National Council for Behavioral Health.)

Background: Digital mental health tools have substantial potential to be easily integrated into people's lives and fundamentally impact public health. Such tools can extend the reach and maximize the impact of mental health interventions. Before implementing digital tools in new settings, it is critical to understand what is important to organizations and individuals who will implement and use these tools. Given that young people are highly familiar with technology and many mental health concerns emerge in childhood and adolescence, it is especially crucial to understand how digital tools can be integrated into settings that serve young people., Objective: This study aims to learn about considerations and perspectives of community behavioral health care providers on incorporating digital tools into their clinical care for children and adolescents., Methods: Data were analyzed from 5 focus groups conducted with clinicians (n=37) who work with young people at a large community service organization in the United States. This organization provides care to more than 27,000 people annually, most of whom are of low socioeconomic status. The transcripts were coded using thematic analysis., Results: Clinicians first provided insight into the digital tools they were currently using in their treatment sessions with young people, such as web-based videos and mood-tracking apps. They explained that their main goals in using these tools were to help young people build skills, facilitate learning, and monitor symptoms. Benefits were expressed, such as engagement of adolescents in treatment, along with potential challenges (eg, accessibility and limited content) and developmental considerations (eg, digital devices getting taken away as punishment). Clinicians discussed their desire for a centralized digital platform that securely connects the clinician, young person, and caregivers. Finally, they offered several considerations for integrating digital tools into mental health care, such as setting up expectations with clients and the importance of human support., Conclusions: Young people have unique considerations related to complex accessibility patterns and technology expectations that may not be observed when adults are the intended users of mental health technologies. Therefore, these findings provide critical insights to inform the development of future tools, specifically regarding connectivity, conditional restraints (eg, devices taken away as punishment and school restrictions), expectations of users from different generations, and the blended nature in which digital tools can support young people., (©Ashley A Knapp, Katherine Cohen, Jennifer Nicholas, David C Mohr, Andrew D Carlo, Joshua J Skerl, Emily G Lattie. Originally published in JMIR Mental Health (https://mental.jmir.org), 19.08.2021.)

Background: Patients with systemic lupus erythematous (SLE) experience psychological comorbidities and impaired quality of life (QOL). We conducted a systematic review to examine the efficacy of non-pharmacological interventions for improving psychological outcomes and/or QOL in patients with SLE. To expand on a previous systematic review in this area and enhance our understanding of efficacious interventions for this population, our search included quasi-experimental and experimental studies of interventions delivered or supported by remote methods (including digitally) or in person., Methods: A comprehensive literature search was conducted with a research librarian using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and was registered before data extraction on the international prospective register of systematic reviews PROSPERO Web site (CRD42020154962). The search included controlled-vocabulary and title/abstract terms related to non-pharmacological interventions for SLE published through October 2019 in MEDLINE (Ovid), Cochrane Library databases (Wiley), Embase (Elsevier), CINAHL (EBSCO), PsycINFO (EBSCO), Web of Science (Clarivate), ACM Digital (Association of Computer Machinery), and IEEE Xplore. Studies were synthesized using a systematic narrative synthesis framework. Risk of bias was assessed., Results: Twenty-three studies were included: 21 randomized controlled trials and two quasi-experimental studies. Non-pharmacological diet, physical activity, psychological, and course-based interventions improved QOL and psychological outcomes, and were delivered in traditional settings (e.g., hospital) or remotely. No studies assessing digital non-pharmacological interventions were identified in our search. Quality assessments showed serious risk of bias for the two quasi-experimental studies, and high risk of bias in a subset of experimental studies., Conclusions: Non-pharmacological interventions benefit patients with SLE. Future research should include more representative samples in rigorous evaluations and consider ways to incorporate digital technologies to increase accessibility.

Engagement is a multifaceted construct and a likely mechanism by which digital interventions achieve clinical improvements. To date, clinical research on digital mental health interventions (DMHIs) has overwhelmingly defined engagement and assessed its association with clinical outcomes through the objective/behavioral metrics of use of or interactions with a DMHI, such as number of log-ins or time spent using the technology. However, engagement also entails users' subjective experience. Research is largely lacking that tests the relationship between subjective metrics of engagement and clinical outcomes. The purpose of this study is to present a proof-of-concept exploratory evaluation of the association between subjective engagement measures of a mobile DMHI with changes in depression and anxiety. Adult primary care patients ( N  = 146) who screened positive for depression or anxiety were randomized to receive a DMHI, IntelliCare, immediately or following an 8-week waitlist. Subjective engagement was measured via the Usefulness, Satisfaction, and Ease of Use (USE) Questionnaire. Across both conditions, results showed that individuals who perceived a mobile intervention as more useful, easy to use and learn, and satisfying had greater improvements in depression and anxiety over eight weeks. Findings support our proposed experimental therapeutics framework that hypothesizes objective/behavioral and subjective engagement metrics as mechanisms that lead to changes in clinical outcomes, as well as support directing intervention design efforts for DMHIs to target the user experience., Competing Interests: DCM has an ownership interest in Adaptive Health, Inc., which has a license from Northwestern University to commercialize IntelliCare. AKG, MKJ, & EGL have received consulting fees from Actualize Therapy, LLC. DCM also has received consulting fees from Apple Inc., (© 2021 The Authors.)

Background: Telephone-administered psychotherapy (tCBT) and internet-based treatments (iCBT) may overcome barriers to mental health treatment. TCBT has demonstrated efficacy similar to traditional psychotherapy, however, few studies have compared iCBT to efficacious interventions. This exploratory study examined the noninferiority of iCBT relative to tCBT. We also explored pretreatment moderators of outcome and assessed treatment dropout., Methods: As a secondary exploratory analysis of a 304-participant randomized noninferiority trial, we compared iCBT, the first level of a stepped-care intervention, with tCBT on depression outcome after 5 weeks of treatment (prior to stepping). Multiple linear regression models were fit to examine moderators of 5-week depression. Differences in dropout were examined using Kaplan-Meier survival analysis., Results: After 5 weeks of treatment, both interventions significantly reduced depression severity. The effect size difference between the two interventions was d=0.004 [90% CI=-0 . 19 to 0 . 19]; the CI did not cross the non-inferiority margin. Pretreatment depression was significantly associated with depression at week 5. The relationship between cognitive strategy usefulness and depression at week 5 differed between interventions, controlling for pretreatment depression. There was no significant difference in dropout between interventions., Limitations: Given the stepped-care trial design, iCBT and tCBT could not be compared at the end of treatment or follow-up. Analyses were exploratory and should be interpreted with caution., Conclusions: A large sample, powered for noninferiority, found iCBT no less efficacious than tCBT at reducing depression symptoms after five weeks of treatment., (Copyright © 2020. Published by Elsevier B.V.)

As U.S. healthcare organizations transition to value-based healthcare, they are increasingly focusing on supporting patients who have difficulties managing chronic care, including mental health, through the growing role of care managers (CMs). CMs communicate with patients, provide access to resources, and coach them toward healthy behaviors. CMs also coordinate patient-related issues internally with healthcare practitioners and externally with community organizations and insurance providers. While there have been many interaction design studies regarding the work of clinical and non-clinical healthcare providers and how best to design support systems for them, we know little about the work of CMs. In this study, we examine the role of CMs, particularly focusing on their work to support patient mental health, through interviews with 11 CMs who are part of a large Midwestern U.S. health system. Workflow observations were conducted to supplement the interview data. We describe the role of CMs and identify challenges that they face in supporting patient mental health. A key challenge is a high degree of role ambiguity in this professional role. We discuss sociotechnical implications to better support care delivery processes and technologies for the delivery of mental health services by CMs.

U.S. health care systems are tasked with alleviating the burden of mental health, but are frequently underprepared and lack workforce and resource capacity to deliver services to all in need. Digital mental health interventions (DMHIs) can increase access to evidence-based mental health care. However, DMHIs commonly do not fit into the day-to-day activities of the people who engage with them, resulting in a research-to-practice gap for DMHI implementation. For health care settings, differences between digital and traditional mental health services make alignment and integration challenging. Specialized attention is needed to improve the implementation of DMHIs in health care settings so that these services yield high uptake, engagement, and sustainment. The purpose of this article is to enhance efforts to integrate DMHIs in health care settings by proposing implementation strategies, selected and operationalized based on the discrete strategies established in the Expert Recommendations for Implementing Change project, that align to DMHI-specific barriers in these settings. Guidance is offered in how these strategies can be applied to DMHI implementation across four phases commonly distinguished in implementation science using the Exploration, Preparation, Implementation, Sustainment Framework. Next steps to advance research in this area and improve the research-to-practice gap for implementing DMHIs are recommended. Applying implementation strategies to DMHI implementation will enable psychologists to systematically evaluate this process, which can yield an enhanced understanding of the factors that facilitate implementation success and improve the translation of DMHIs from controlled trials to real-world settings. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Background: Unmanaged cancer symptoms and treatment-related side effects can compromise long-term clinical outcomes and health-related quality of life. Health information technologies such as web-based platforms offer the possibility to supplement existing care and optimize symptom management., Objective: This paper describes the development and usability of a web-based symptom management platform for cancer patients and survivors that will be implemented within a large health system., Methods: A web-based symptom management platform was designed and evaluated via one-on-one usability testing sessions. The System Usability Scale (SUS), After Scenario Questionnaire (ASQ), and qualitative analysis of semistructured interviews were used to assess program usability., Results: Ten cancer survivors and five cancer center staff members participated in usability testing sessions. The mean score on the SUS was 86.6 (SD 14.0), indicating above average usability. The mean score on the ASQ was 2.5 (SD 2.1), indicating relatively high satisfaction with the usability of the program. Qualitative analyses identified valued features of the program and recommendations for further improvements., Conclusions: Cancer survivors and oncology care providers reported high levels of acceptability and usability in the initial development of a web-based symptom management platform for cancer survivors. Future work will test the effectiveness of this web-based platform., (©Emily G Lattie, Michael Bass, Sofia F Garcia, Siobhan M Phillips, Patricia I Moreno, Ann Marie Flores, JD Smith, Denise Scholtens, Cynthia Barnard, Frank J Penedo, David Cella, Betina Yanez. Originally published in JMIR Formative Research (http://formative.jmir.org), 21.09.2020.)

Background: Nearly half of the patients with breast cancer experience clinically significant mental distress within the first year of receiving their cancer diagnosis. There is an urgent need to identify scalable and cost-efficient ways of delivering empirically supported mental health interventions to patients with breast cancer., Objective: The aim of this study was to evaluate the feasibility of in-clinic recruitment for a mobile phone app study and to evaluate the usability and preliminary impact of a suite of mental health apps (IntelliCare) with phone coaching on psychosocial distress symptoms in patients recently diagnosed with breast cancer., Methods: This pilot study adopted a within-subject, 7-week pre-post study design. A total of 40 patients with breast cancer were recruited at a US National Cancer Institute-designated clinical cancer center. Self-reported distress (Patient Health Questionnaire-4) and mood symptoms (Patient-Reported Outcomes Measurement Information System depression and anxiety scales) were assessed at baseline and postintervention. App usability was assessed at postintervention., Results: The minimum recruitment threshold was met. There was a significant decrease in general distress symptoms, as well as symptoms of depression and anxiety, from baseline to postintervention. Overall, participants reported high levels of ease of app use and learning. Scores for app usefulness and satisfaction were reinforced by some qualitative feedback suggesting that tailoring the apps more for patients with breast cancer could enhance engagement., Conclusions: There is a dire need for scalable, supportive interventions in cancer. The results from this study inform how scalable mobile phone-delivered programs with additional phone support can be used to support patients with breast cancer., International Registered Report Identifier (irrid): RR2-10.2196/11452., (©Philip I I. Chow, Shayna L Showalter, Matthew Gerber, Erin M Kennedy, David Brenin, David C Mohr, Emily G Lattie, Alisha Gupta, Gabrielle Ocker, Wendy F Cohn. Originally published in JMIR Cancer (http://cancer.jmir.org), 15.04.2020.)

The last decade has seen increased reports of mental health problems among college students, with college counseling centers struggling to keep up with the demand for services. Digital mental health tools offer a potential solution to expand the reach of mental health services for college students. In this paper, we present findings from a series of design activities conducted with college students and counseling center staff aimed at identifying needs and preferences for digital mental health tools. Results emphasize the social ecosystems and social support networks in a college student's life. Our findings highlight the predominant role of known peers, and the ancillary roles of unknown peers and non-peers (e.g., faculty, family) in influencing the types of digital mental health tools students desire, and the ways in which they want to learn about mental health tools. We identify considerations for designing digital mental health tools for college students that take into account the identified social factors and roles.

Technology-enabled mental health services have the potential to expand the reach of care and reduce clinician demand. While the efficacy of technology-enabled mental health services is well established, there have been few successful implementations of such services into community care settings. Using mixed methods, 89 clinicians and supervisors at a mental health service organization shared attitudes toward and interest in using a variety of technologies in their work. Participants discussed several challenges and opportunities for technology-enabled mental health services. Whilst clinicians saw potential for technology to engage individuals both in and outside the clinical environment, the range of therapeutic techniques used by clinicians presented a challenge in implementing a tool to meet their needs. Client technology access was a concern, and although text messaging would facilitate communication, current HIPAA and payment structures restrict this ability. With these considerations, we offer recommendations for implementing technological services in community mental health organizations.

A body of literature suggests that the provision of human support improves both adherence to and clinical outcomes for digital mental health interventions. While multiple models of providing human support, or coaching, to support digital mental health interventions have been introduced, specific guidance on how to develop coaching protocols has been lacking. In this Education Piece, we provide guidance on developing coaching protocols for text-based communication in digital mental health interventions. Researchers and practitioners who are tasked with developing coaching protocols are prompted to consider the scope of coaching for the intervention, the selection and training of coaches, specific coaching techniques, how to structure communication with clients and how to monitor adherence to guidelines, and quality of coaching. Our goal is to advance thinking about the provision of human support in digital mental health interventions to inform stronger, more engaging, and effective intervention designs., (© The Author(s) 2019.)

This trial examined whether a stepped care program for depression, which initiated treatment with internet cognitive behavioral therapy, including telephone and messaging support, and stepped up non-responders to telephone-administered cognitive behavioral therapy (tCBT), was noninferior, less costly to deliver, and as acceptable to patients compared to tCBT alone. Adults with a diagnosis of major depressive episode (MDE) were randomized to receive up to 20 weeks of stepped care or tCBT. Stepped care (n = 134) was noninferior to tCBT (n = 136) with an end-of-treatment effect size of d = 0.03 and a 6-month post-treatment effect size of d = -0.07 [90% CI 0.29 to 0.14]. Therapist time in stepped care was 5.26 (SD = 3.08) hours versus 10.16 (SD 4.01) for tCBT (p < 0.0001), with a delivery cost difference of $-364.32 [95% CI $-423.68 to $-304.96]. There was no significant difference in pre-treatment preferences (p = 0.10) or treatment dropout (39 in stepped care; 27 in tCBT; p = 0.14). tCBT patients were significantly more satisfied than stepped care patients with the treatment they received (p < 0.0001). These findings indicate that stepped care was less costly to deliver, but no less effective than tCBT. There was no significant difference in treatment preference or completion, however satisfaction with treatment was higher in tCBT than stepped care. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT01906476., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

Internet-based cognitive behavioral therapy (iCBT) may overcome barriers to mental health care and has proven efficacious. However, this approach currently exists outside the existing mental health care delivery system. Stepped care is a proposed framework for integrating digital mental health (DMH) into health systems by initiating iCBT and "stepping up" care to a more intensive intervention should iCBT prove ineffective. This study explores pre-treatment factors associated with reaching stepping criteria among patients receiving iCBT. This exploratory analysis of a stepped care arm of a larger randomized trial examined participants who were stepped to a more intensive intervention if they did not respond to iCBT. The association of pre-treatment factors on stepping were examined using Kruskal-Wallis and Chi-square tests. One-fifth of the 151 participants met criteria for stepping within the 20-week treatment period. Only pre-treatment depression severity and treatment preference were associated with increased likelihood of stepping ( p = 0.049 and 0.048, respectively). The low number of individuals who stepped provides support for iCBT as an effective, low intensity treatment for depression. The modest association of pre-treatment depression and preference to not receive iCBT may be useful in identifying patients who are less likely to respond.

Psychosocial disability involves actual or perceived impairment due to a diversity of mental, emotional, or cognitive experiences. While assistive technology for psychosocial disabilities has been understudied in communities such as ASSETS, advances in computing have opened up a number of new avenues for assisting those with psychosocial disabilities beyond the clinic. However, these tools continue to emerge primarily within the framework of "treatment," emphasizing resolution or improvement of mental health symptoms. This work considers what it means to adopt a social model lens from disability studies and incorporate the expertise of assistive technology researchers in relation to mental health. Our investigation draws on interviews conducted with 18 individuals who have complex health needs that include mental health symptoms. This work highlights the potential role for assistive technology in supporting psychosocial disability outside of a clinical or medical framework.

Objective: Medical students experience high rates of depression, and often face barriers to receiving traditional mental health services. Internet-based cognitive behavioral therapy (iCBT) programs offer a more accessible method of receiving care. Here, we conducted an open trial of an iCBT program for medical students and characterize program usage, program users, and self-reported psychosocial symptoms and coping skills., Methods: All incoming first year medical students at a large state-run university were invited to use an iCBT program which focused on mood management and mood symptom prevention. Participants received access to the 16-week program and completed measures of perceived stress, quality of life, and the development of cognitive and behavioral coping skills at baseline and end of program., Results: Of the 194 students in the class, 53 (27.32%) signed up to use the program. While the program attracted a representative portion of underrepresented minority students, program engagement among males was particularly low. Repeated use of the program was low. Self-reported symptoms of depression and anxiety were low at baseline, and continued to be low at end of program. Slight increases were observed from baseline to end of program in the self-reported use of cognitive coping skills., Conclusions: Digital mental health tools appear to be of interest to first year medical students, but need to be better designed to support continued program use and to attract specific subgroups of students who may face additional barriers to seeking mental health services., Competing Interests: None.

Rationale: Relationship dissatisfaction has been linked with worse health outcomes in many patient populations, though the mechanism(s) underlying this effect are unclear. Among patients with chronic fatigue syndrome (CFS) and their partners, there is evidence for a bi-directional association between poorer relationship satisfaction and the severity of CFS-related fatigue., Objective: Here, we hypothesized that relationship dissatisfaction negatively impacts fatigue severity through greater depression and less patient satisfaction about communication about symptoms to partners., Method: Baseline data were drawn from diagnosed CFS patients (N = 150) participating in a trial testing the efficacy of a stress management intervention. Data derived from fatigue severity (Fatigue Symptom Index, FSI), depression (Center for Epidemiologic Survey-Depression, CES-D), relationship quality (Dyadic Adjustment Scale, DAS) and communication satisfaction (Patient Symptom Disclosure Satisfaction, PSDS) questionnaires were used for bootstrapped indirect effect analyses using parallel mediation structural equation modeling in Mplus (v8). Age and BMI were entered as covariates., Results: Greater relationship satisfaction predicted greater communication satisfaction (p < 0.01) and lower CES-D scores (p < 0.01), which in turn were each significantly related to greater fatigue severity (p < 0.05). Tests of the indirect paths indicated that relationship satisfaction had a significant effect on fatigue severity through both constructs, but primarily via depression. There was no direct association between relationship satisfaction and fatigue severity after the intermediate variables (depression, communication satisfaction) were included in the model., Conclusion: Results highlight the importance of considering depression and communication-related factors when examining the effects of relationship satisfaction on CFS symptoms such as fatigue. Further mechanism-based, longitudinal research might identify relationship-related mediating variables that can be targeted therapeutically., (Copyright © 2019. Published by Elsevier Ltd.)

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 of maintaining engagement with the IntelliCare platform, coaching, and receipt of weekly recommendations to try different apps on depression, anxiety, and app use., Methods: A total of 301 participants with depression or anxiety were randomized to 1 of 4 treatments lasting 8 weeks and were followed for 6 months posttreatment. The trial used a 2X2 factorial design (coached vs self-guided treatment and weekly app recommendations vs no recommendations) to compare engagement metrics., Results: The median time to last use of any app during treatment was 56 days (interquartile range 54-57), with 253 participants (84.0%, 253/301) continuing to use the apps over a median of 92 days posttreatment. Receipt of weekly recommendations resulted in a significantly higher number of app use sessions during treatment (overall median=216; P=.04) but only marginal effects for time to last use (P=.06) and number of app downloads (P=.08). Coaching resulted in significantly more app downloads (P<.001), but there were no significant effects for time to last download or number of app sessions (P=.36) or time to last download (P=.08). Participants showed significant reductions in the Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) across all treatment arms (P s<.001). Coached treatment led to larger GAD-7 reductions than those observed for self-guided treatment (P=.03), but the effects for the PHQ-9 did not reach significance (P=.06). Significant interaction was observed between receiving recommendations and time for the PHQ-9 (P=.04), but there were no significant effects for GAD-7 (P=.58)., Conclusions: IntelliCare produced strong engagement with apps across all treatment arms. Coaching was associated with stronger anxiety outcomes, and receipt of recommendations enhanced depression outcomes., Trial Registration: ClinicalTrials.gov NCT02801877; https://clinicaltrials.gov/ct2/show/NCT02801877., (©David C Mohr, Stephen M Schueller, Kathryn Noth Tomasino, Susan M Kaiser, Nameyeh Alam, Chris Karr, Jessica L Vergara, Elizabeth L Gray, Mary J Kwasny, Emily G Lattie. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 28.08.2019.)

Background: College students are increasingly reporting common mental health problems, such as depression and anxiety, and they frequently encounter barriers to seeking traditional mental health treatments. Digital mental health interventions, such as those delivered via the Web and apps, offer the potential to improve access to mental health treatment., Objective: This study aimed to review the literature on digital mental health interventions focused on depression, anxiety, and enhancement of psychological well-being among samples of college students to identify the effectiveness, usability, acceptability, uptake, and adoption of such programs., Methods: We conducted a systematic review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines (registration number CRD42018092800), and the search strategy was conducted by a medical research librarian in the following databases: MEDLINE (Ovid), EMBASE (Elsevier), PsycINFO (EbscoHost), the Cochrane Library (Wiley), and Web of Science (Thomson Reuters) from the date of inception to April 2019. Data were synthesized using a systematic narrative synthesis framework, and formal quality assessments were conducted to address the risk of bias., Results: A total of 89 studies met the inclusion criteria. The majority of interventions (71/89, 80%) were delivered via a website, and the most common intervention was internet-based cognitive behavioral therapy (28, 31%). Many programs (33, 37%) featured human support in the form of coaching. The majority of programs were either effective (42, 47%) or partially effective (30, 34%) in producing beneficial changes in the main psychological outcome variables. Approximately half of the studies (45, 51%) did not present any usability or acceptability outcomes, and few studies (4, 4%) examined a broad implementation of digital mental health interventions on college campuses. Quality assessments revealed a moderate-to-severe risk of bias in many of the studies., Conclusions: Results suggest that digital mental health interventions can be effective for improving depression, anxiety, and psychological well-being among college students, but more rigorous studies are needed to ascertain the effective elements of these interventions. Continued research on improving the user experience of, and thus user engagement with, these programs appears vital for the sustainable implementation of digital mental health interventions on college campuses., (©Emily G Lattie, Elizabeth C Adkins, Nathan Winquist, Colleen Stiles-Shields, Q Eileen Wafford, Andrea K Graham. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 22.07.2019.)

Digital interventions offer great promise for supporting health-related behavior change. However, there is much that we have yet to learn about how people respond to them. In this study, we present a novel mixed-methods approach to analysis of the complex and rich data that digital interventions collect. We perform secondary analysis of IntelliCare, an intervention in which participants are able to try 14 different mental health apps over the course of eight weeks. The goal of our analysis is to characterize users' app use behavior and experiences, and is rooted in theoretical conceptualizations of engagement as both usage and user experience. In the first aim, we employ cluster analysis to identify subgroups of participants that share similarities in terms of the frequency of their usage of particular apps, and then employ other engagement measures to compare the clusters. We identified four clusters with different app usage patterns: Low Usage, High Usage, Daily Feats Users, and Day to Day users. Each cluster was distinguished by its overall frequency of app use, or the main app that participants used. In the second aim, we developed a computer-assisted text analysis and visualization method - message highlighting - to facilitate comparison of the clusters. Last, we performed a qualitative analysis using participant messages to better understand the mechanisms of change and usability of salient apps from the cluster analysis. Our novel approach, integrating text and visual analytics with more traditional qualitative analysis techniques, can be used to generate insights concerning the behavior and experience of users in digital health contexts, for subsequent personalization and to identify areas for improvement of intervention technologies., (Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.)

In recent years, there has been an increase in symptoms of depression, anxiety, eating disorders, and other mental illnesses in college student populations. Simultaneously, there has been a steady rise in the demand for counseling services. These trends have been viewed by some as a mental health crisis requiring prompt investigation and the generation of potential solutions to serve the needs of students. Subsequently, several studies linked the observed rise in symptoms with the ubiquitous rise in use of personal computing technologies, including social media, and have suggested that time spent on these types of technologies is directly correlated with poor mental health. While use of personal computing technologies has dramatically shifted the landscape in which college students connect with one another and appears to have some detriments to mental health, the same technologies also offer a number of opportunities for the enhancement of mental health and the treatment of mental illness. Here, we describe the challenges and opportunities for college student mental health afforded by personal computing technologies. We highlight opportunities for new research in this area and possibilities for individuals and organizations to engage with these technologies in a more helpful and wellness-promoting manner.

Objective: Behavioral intervention technologies (BITs) stand as a promising delivery mechanism that overcomes multiple condition-specific and access barriers for self-management interventions for adolescents and young adults with spina bifida (AYA-SB). The purpose of the current review was to synthesize the behavioral and self-management intervention literature in conditions that have overlapping symptoms with youth with SB and to develop a model of likely user needs for AYA-SB that promotes self-management., Method: The search strategy was conducted by a medical research librarian in the following databases: MEDLINE (Ovid), EMBASE (Elsevier), PsycINFO (EbscoHost), the Cochrane Library (Wiley), and Web of Science (Thomson Reuters) databases. The review was based on a systematic narrative synthesis framework and adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines (registration number CRD42018092342)., Results: In total, 18 articles were included in the current BIT review. The majority of included studies (1) targeted the management of chronic health conditions, (2) were informed by evidence-based approaches, (3) relied on content delivery, (4) were Web-based, (5) used linear or user-driven workflows, (6) included professional human support, and (7) included a control condition., Conclusions: Many of the evaluated BITs resulted in acceptable usage and maintained or improved targeted symptoms. A user needs model for AYA-SB is proposed with the intention that future research will promote further refinement and ultimate deployment of a BIT for AYA-SB to promote self-management., (© The Author(s) 2018. Published by Oxford University Press on behalf of the Society of Pediatric Psychology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: Sleep disturbances play an important role in everyday affect and vice versa. However, the causal day-to-day interaction between sleep and mood has not been thoroughly explored, partly because of the lack of daily assessment data. Mobile phones enable us to collect ecological momentary assessment data on a daily basis in a noninvasive manner., Objective: This study aimed to investigate the relationship between self-reported daily mood and sleep quality., Methods: A total of 208 adult participants were recruited to report mood and sleep patterns daily via their mobile phones for 6 consecutive weeks. Participants were recruited in 4 roughly equal groups: depressed and anxious, depressed only, anxious only, and controls. The effect of daily mood on sleep quality and vice versa were assessed using mixed effects models and propensity score matching., Results: All methods showed a significant effect of sleep quality on mood and vice versa. However, within individuals, the effect of sleep quality on next-day mood was much larger than the effect of previous-day mood on sleep quality. We did not find these effects to be confounded by the participants' past mood and sleep quality or other variables such as stress, physical activity, and weather conditions., Conclusions: We found that daily sleep quality and mood are related, with the effect of sleep quality on mood being significantly larger than the reverse. Correcting for participant fixed effects dramatically affected results. Causal analysis suggests that environmental factors included in the study and sleep and mood history do not mediate the relationship., (©Sofia Triantafillou, Sohrab Saeb, Emily G Lattie, David C Mohr, Konrad Paul Kording. Originally published in JMIR Mental Health (http://mental.jmir.org), 27.03.2019.)

Background: Over one-third of cancer patients experience clinically significant mental distress, and distress in caregivers can exceed that of the cancer patients for whom they care. There is an urgent need to identify scalable and cost-efficient ways of delivering mental health interventions to cancer patients and their loved ones., Objective: The aim of this study is to describe the protocol to pilot a mobile app-based mental health intervention in breast cancer patients and caregivers., Methods: The IntelliCare mental health apps are grounded in evidence-based research in psychology. They have not been examined in cancer populations. This pilot study will adopt a within-subject, pre-post study design to inform a potential phase III randomized controlled trial. A target sample of 50 individuals (with roughly equal numbers of patients and caregivers) at least 18 years of age and fluent in English will be recruited at a US National Cancer Institute designated clinical cancer center. Consent will be obtained in writing and a mobile phone will be provided if needed. Self-report surveys assessing mental health outcomes will be administered at a baseline session and after a 7-week intervention. Before using the apps, participants will receive a 30-min coaching call to explain their purpose and function. A 10-min coaching call 3 weeks later will check on user progress and address questions or barriers to use. Self-report and semistructured interviews with participants at the end of the study period will focus on user experience and suggestions for improving the apps and coaching in future studies., Results: This study is ongoing, and recruitment will be completed by the end of 2018., Conclusions: Results from this study will inform how scalable mobile phone-delivered programs can be used to support breast cancer patients and their loved ones., Trial Registration: ClinicalTrials.gov NCT03488745; https://clinicaltrials.gov/ct2/show/NCT03488745., International Registered Report Identifier (irrid): DERR1-10.2196/11452., (©Philip I Chow, Shayna L Showalter, Matthew S Gerber, Erin Kennedy, David R Brenin, Anneke T Schroen, David C Mohr, Emily G Lattie, Wendy F Cohn. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 14.01.2019.)