Systematic review of digital and non-digital non-pharmacological interventions that target quality of life and psychological outcomes in adults with systemic lupus erythematosus.

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.

Opportunities for and Tensions Surrounding the Use of Technology-Enabled Mental Health Services in Community Mental Health Care.

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 multi-faceted approach to characterizing user behavior and experience in a digital mental health intervention.

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.

A Systematic Review of Behavioral Intervention Technologies for Youth With Chronic Health Conditions and Physical and Intellectual Disabilities: Implications for Adolescents and Young Adults With Spina Bifida.

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.

Digital Mental Health Interventions for Depression, Anxiety, and Enhancement of Psychological Well-Being Among College Students: Systematic Review.

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.

Comparison of the Effects of Coaching and Receipt of App Recommendations on Depression, Anxiety, and Engagement in the IntelliCare Platform: Factorial Randomized Controlled Trial.

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.

A Practical Do-It-Yourself Recruitment Framework for Concurrent eHealth Clinical Trials: Simple Architecture (Part 1).

BACKGROUND: The ability to identify, screen, and enroll potential research participants in an efficient and timely manner is crucial to the success of clinical trials. In the age of the internet, researchers can be confronted with large numbers of people contacting the program, overwhelming study staff and frustrating potential participants. OBJECTIVE: This paper describes a "do-it-yourself" recruitment support framework (DIY-RSF) that uses tools readily available in many academic research settings to support remote participant recruitment, prescreening, enrollment, and management across multiple concurrent eHealth clinical trials. METHODS: This work was conducted in an academic research center focused on developing and evaluating behavioral intervention technologies. A needs assessment consisting of unstructured individual and group interviews was conducted to identify barriers to recruitment and important features for the new system. RESULTS: We describe a practical and adaptable recruitment management architecture that used readily available software, such as REDCap (Research Electronic Data Capture) and standard statistical software (eg, SAS, R), to create an automated recruitment framework that supported prescreening potential participants, consent to join a research registry, triaging for management of multiple trials, capture of eligibility information for each phase of a recruitment pipeline, and staff management tools including monitoring of participant flow and task assignment/reassignment features. The DIY-RSF was launched in July 2015. As of July 2017, the DIY-RSF has supported the successful recruitment efforts for eight trials, producing 14,557 participant records in the referral tracking database and 5337 participants in the center research registry. The DIY-RSF has allowed for more efficient use of staff time and more rapid processing of potential applicants. CONCLUSIONS: Using tools already supported at many academic institutions, we describe the architecture and utilization of an adaptable referral management framework to support recruitment for multiple concurrent clinical trials. The DIY-RSF can serve as a guide for leveraging common technologies to improve clinical trial recruitment procedures.

A Practical Do-It-Yourself Recruitment Framework for Concurrent eHealth Clinical Trials: Identification of Efficient and Cost-Effective Methods for Decision Making (Part 2).

BACKGROUND: The ability to successfully recruit participants for electronic health (eHealth) clinical trials is largely dependent on the use of efficient and effective recruitment strategies. Determining which types of recruitment strategies to use presents a challenge for many researchers. OBJECTIVE: The aim of this study was to present an analysis of the time-efficiency and cost-effectiveness of recruitment strategies for eHealth clinical trials, and it describes a framework for cost-effective trial recruitment. METHODS: Participants were recruited for one of 5 eHealth trials of interventions for common mental health conditions. A multipronged recruitment approach was used, including digital (eg, social media and Craigslist), research registry-based, print (eg, flyers and posters on public transportation), clinic-based (eg, a general internal medicine clinic within an academic medical center and a large nonprofit health care organization), a market research recruitment firm, and traditional media strategies (eg, newspaper and television coverage in response to press releases). The time costs and fees for each recruitment method were calculated, and the participant yield on recruitment costs was calculated by dividing the number of enrolled participants by the total cost for each method. RESULTS: A total of 777 participants were enrolled across all trials. Digital recruitment strategies yielded the largest number of participants across the 5 clinical trials and represented 34.0% (264/777) of the total enrolled participants. Registry-based recruitment strategies were in second place by enrolling 28.0% (217/777) of the total enrolled participants across trials. Research registry-based recruitment had a relatively high conversion rate from potential participants who contacted our center for being screened to be enrolled, and it was also the most cost-effective for enrolling participants in this set of clinical trials with a total cost per person enrolled at US $8.99. CONCLUSIONS: On the basis of these results, a framework is proposed for participant recruitment. To make decisions on initiating and maintaining different types of recruitment strategies, the resources available and requirements of the research study (or studies) need to be carefully examined.

Harnessing Peer Support in an Online Intervention for Older Adults with Depression.

OBJECTIVE: This pilot study evaluated the feasibility and efficacy of two methods of delivering a cognitive behaviorally informed Internet intervention for depression for adults 65 years and older. METHODS: Forty-seven participants were enrolled and assigned to receive one of two versions of the Internet intervention, either delivered individually (III) or with peer support (II+PS), or to a wait list control group (WLC). Primary outcomes included change in depressive symptoms from baseline to post-intervention (week 8), site use, self-reported usability, and coach time. Secondary outcomes included measures of social support and isolation and anxiety. RESULTS: Follow-up data were provided by 85.1% (40 of 47) of enrolled participants. There were significant differences in depression change across groups (F(2,37) = 3.81, p = 0.03). Greater reductions in depressive symptoms were found for the III (p = 0.02) and II+PS (p = 0.03) compared with WLC, and significantly less coach time was required in the II+PS (p = 0.003). CONCLUSIONS: These results highlight the potential of cognitive-behaviorally informed Internet interventions for older adults with depression, and indicate that peer-supported programs are both acceptable and equivalent to individually delivered Internet interventions. Including peer support may be a viable and potentially more cost-effective option for disseminating online treatments for depression for older adults.

Accelerating Digital Mental Health Research From Early Design and Creation to Successful Implementation and Sustainment.

Mental health problems are common and pose a tremendous societal burden in terms of cost, morbidity, quality of life, and mortality. The great majority of people experience barriers that prevent access to treatment, aggravated by a lack of mental health specialists. Digital mental health is potentially useful in meeting the treatment needs of large numbers of people. A growing number of efficacy trials have shown strong outcomes for digital mental health treatments. Yet despite their positive findings, there are very few examples of successful implementations and many failures. Although the research-to-practice gap is not unique to digital mental health, the inclusion of technology poses unique challenges. We outline some of the reasons for this gap and propose a collection of methods that can result in sustainable digital mental health interventions. These methods draw from human-computer interaction and implementation science and are integrated into an Accelerated Creation-to-Sustainment (ACTS) model. The ACTS model uses an iterative process that includes 2 basic functions (design and evaluate) across 3 general phases (Create, Trial, and Sustain). The ultimate goal in using the ACTS model is to produce a functioning technology-enabled service (TES) that is sustainable in a real-world treatment setting. We emphasize the importance of the service component because evidence from both research and practice has suggested that human touch is a critical ingredient in the most efficacious and used digital mental health treatments. The Create phase results in at least a minimally viable TES and an implementation blueprint. The Trial phase requires evaluation of both effectiveness and implementation while allowing optimization and continuous quality improvement of the TES and implementation plan. Finally, the Sustainment phase involves the withdrawal of research or donor support, while leaving a functioning, continuously improving TES in place. The ACTS model is a step toward bringing implementation and sustainment into the design and evaluation of TESs, public health into clinical research, research into clinics, and treatment into the lives of our patients.

IntelliCare: An Eclectic, Skills-Based App Suite for the Treatment of Depression and Anxiety.

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 to the brief but frequent ways that people use mobile phones and mobile phone apps today. To address these challenges, we developed a suite of apps for depression and anxiety called IntelliCare, each developed with a focused goal and interactional style. IntelliCare apps prioritize interactive skills training over education and are designed for frequent but short interactions. OBJECTIVE: The overall objective of this study was to pilot a coach-assisted version of IntelliCare and evaluate its use and efficacy at reducing symptoms of depression and anxiety. METHODS: Participants, recruited through a health care system, Web-based and community advertising, and clinical research registries, were included in this single-arm trial if they had elevated symptoms of depression or anxiety. Participants had access to the 14 IntelliCare apps from Google Play and received 8 weeks of coaching on the use of IntelliCare. Coaching included an initial phone call plus 2 or more texts per week over the 8 weeks, with some participants receiving an additional brief phone call. Primary outcomes included the Patient Health Questionnaire-9 (PHQ-9) for depression and the Generalized Anxiety Disorder-7 (GAD-7) for anxiety. Participants were compensated up to US $90 for completing all assessments; compensation was not for app use or treatment engagement. RESULTS: Of the 99 participants who initiated treatment, 90.1% (90/99) completed 8 weeks. Participants showed substantial reductions in the PHQ-9 and GAD-7 (P<.001). Participants used the apps an average of 195.4 (SD 141) times over the 8 weeks. The average length of use was 1.1 (SD 2.1) minutes, and 95% of participants downloaded 5 or more of the IntelliCare apps. CONCLUSIONS: This study supports the IntelliCare framework of providing a suite of skills-focused apps that can be used frequently and briefly to reduce symptoms of depression and anxiety. The IntelliCare system is elemental, allowing individual apps to be used or not used based on their effectiveness and utility, and it is eclectic, viewing treatment strategies as elements that can be applied as needed rather than adhering to a singular, overarching, theoretical model. TRIAL REGISTRATION: Clinicaltrials.gov NCT02176226; http://clinicaltrials.gov/ct2/show/NCT02176226 (Archived by WebCite at http://www.webcitation/6mQZuBGk1).

Development and Evaluation of an Online Mental Health Program for Medical Students.

OBJECTIVE: Medical school presents a time of psychological distress for many students, who are less likely than the general population to seek mental health treatment due to multiple treatment barriers. Internet-based cognitive behavioral therapy (iCBT) programs may be an acceptable option for medical students. This study aims to assess acceptability and usability of ThinkFeelDo, an iCBT program, and to examine the impact of the program on perceived stress, quality of life, and the development of cognitive and behavioral coping skills. METHOD: Fourteen medical students (M age = 25.4 years, 50% female) participated in the 6-week ThinkFeelDo program and completed baseline and end of treatment assessments. RESULTS: ThinkFeelDo was used (login M = 11.9, SD = 9.8) and was rated as somewhat useful. Participants requested further refinement of lessons to better fit the typical narrative of a medical student and endorsed interest in the program being offered at the beginning of medical school. At end of program, participants increased the frequency with which they used cognitive and behavioral coping skills, t(10) = -3.400, p = .007. CONCLUSIONS: Results of this study indicate that medical students are willing to utilize online mental health programs and may receive benefit. However, the sample was small, self-selected, and without a comparison group. Feedback collected through this study provides insight on how to effectively integrate iCBT programs into the medical school experience.

Managing Depression among Diverse Older Adults in Primary Care: The BRIGHTEN Program.

OBJECTIVES: A variety of specific cultural adaptations have been proposed for older adult and minority mental health interventions. The objective of this study was to determine whether the BRIGHTEN Program, an individually tailored, interdisciplinary "virtual" team intervention, would equally meet the needs of a highly diverse sample of older adults with depression. METHODS: Older adults who screened positive for depression were recruited from primary and specialty care settings to participate in the BRIGHTEN program. A secondary data analysis of 131 older adults (37.4% African-American, 29.0% Hispanic, 29.8% Non-Hispanic White) was conducted to explore the effects of demographic variables (race/ethnicity, income and education) on treatment outcome. RESULTS: Compared to baseline, participants demonstrated significant improvements on the SF-12 Mental Health Composite and depression (GDS-15) scores at 6-month follow-up. There were no differences on outcome measures based on race/ethnicity, income or education with one exception-a difference between 12th grade and graduate degree education on SF-12 Mental Health Composite scores. CONCLUSIONS: While not explicitly tailored for specific ethnic groups, the BRIGHTEN program may be equally effective in reducing depression symptoms and improving mental health functioning in a highly socioeconomically and ethnically diverse, community-dwelling older adult population. CLINICAL IMPLICATIONS: Implications for behavioral health integration in primary care are discussed.

Millon Behavioral Medicine Diagnostic (MBMD) Predicts Health-Related Quality of Life (HrQoL) over time among men treated for localized prostate cancer.

Prostate cancer treatment presents multiple challenges that can negatively affect health-related quality of life (HrQoL), and that can be further compromised by maladaptive personality styles and psychological adjustment difficulties. This study examined the utility of a comprehensive psychosocial screening tool to identify psychosocial traits that prospectively predict HrQoL status among men treated for localized prostate cancer. The Millon Behavioral Medicine Diagnostic (MBMD) was administered to 66 men (M age = 68 years, 59% White) treated by either radical prostatectomy or radiotherapy along with standard measures of general and prostate-cancer-specific quality of life assessed at a 12-month follow-up. Higher scores on both summary MBMD Management Guides (Adjustment Difficulties and Psych Referral) and higher scores on personality styles characterized by avoidance, dependency, depression, passive aggressiveness, and self-denigration predicted lower HrQoL (ß range = -.21 to -.50). Additionally, higher scores on the MBMD Depression, Tension-Anxiety, and Future Pessimism scales predicted lower HrQoL. Finally, higher scores on the MBMD Intervention Fragility and Utilization Excess scale also consistently predicted poorer mental and physical health functioning over time. These results point to the utility of the MBMD to help screen for potential impairments in mental and physical health functioning in men undergoing treatment for prostate cancer.

MBMD coping styles and psychiatric indicators and response to a multidisciplinary pain treatment program.

Psychosocial and personality factors are known to contribute to the maintenance of and recovery from chronic pain conditions but less is known about their influence on the efficacy of pain treatment programs. The purpose of the present study is to examine the ability of the Millon Behavioral Medicine Diagnostic (MBMD), a broadband measure of personality and psychosocial characteristics, to predict response to multidisciplinary pain treatment. 93 patients completed the MBMD, and ratings of current pain and average pain on an 11 point scale, prior to a multidisciplinary pain management program. Ratings of current and average pain were completed upon program completion. Participants were classified as "successful" or "unsuccessful" program completers based on pain reductions of ≥2 points. After program completion, 47 % of participants evidenced successful pain reductions. These successful participants had lower scores on depression and on coping style scales measuring introversive, inhibited, and dejected tendencies at baseline. Additionally, lower pre-treatment depression scores and lower scores on each of these coping style scales predicted lower pain ratings at discharge independent of educational level and pre-treatment pain ratings. The MBMD may be a useful tool to delineate patients who are likely to make significant treatment gains in intense, multidisciplinary pain treatment programs.

Preparing a Workforce of Care Coordinators to Address Patient Mental Health Needs in the Digital Age: Training and Needs Identification.

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.

"Our Job is to be so Temporary": Designing Digital Tools that Meet the Needs of Care Managers and their Patients with Mental Health Concerns.

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.

The Perceived Utility of Smartphone and Wearable Sensor Data in Digital Self-tracking Technologies for Mental Health.

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.

From formative design to service-ready therapeutic: A pragmatic approach to designing digital mental health interventions across domains.

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.

Stress management skills, neuroimmune processes and fatigue levels in persons with chronic fatigue syndrome.

OBJECTIVES: Stressors and emotional distress responses impact chronic fatigue syndrome (CFS) symptoms, including fatigue. Having better stress management skills might mitigate fatigue by decreasing emotional distress. Because CFS patients comprise a heterogeneous population, we hypothesized that the role of stress management skills in decreasing fatigue may be most pronounced in the subgroup manifesting the greatest neuroimmune dysfunction. METHODS: In total, 117 individuals with CFS provided blood and saliva samples, and self-report measures of emotional distress, perceived stress management skills (PSMS), and fatigue. Plasma interleukin-1-beta (IL-1ß, IL-2, IL-6, IL-10, and tumor necrosis factor-alpha (TNF-α), and diurnal salivary cortisol were analyzed. We examined relations among PSMS, emotional distress, and fatigue in CFS patients who did and did not evidence neuroimmune abnormalities. RESULTS: Having greater PSMS related to less fatigue (p=.019) and emotional distress (p<.001), greater diurnal cortisol slope (p=.023) and lower IL-2 levels (p=.043). PSMS and emotional distress related to fatigue levels most strongly in CFS patients in the top tercile of IL-6, and emotional distress mediated the relationship between PSMS and fatigue most strongly in patients with the greatest circulating levels of IL-6 and a greater inflammatory (IL-6):anti-inflammatory (IL-10) cytokine ratio. DISCUSSION: CFS patients having greater PSMS show less emotional distress and fatigue, and the influence of stress management skills on distress and fatigue appear greatest among patients who have elevated IL-6 levels. These findings support the need for research examining the impact of stress management interventions in subgroups of CFS patients showing neuroimmune dysfunction.