Identity, self-blame, and body regard in NSSI: A test of moderated-mediation.

BACKGROUND: Prior work suggests that an unstable identity is an important developmental factor impacting risk for non-suicidal self-injury (NSSI), partly because it can foster lowered self-esteem and self-blame coping styles. Theoretical models suggest that how one regards the self, including experiences of and reactions to one's body (e.g., body regard), impact how factors such as identity instability and coping styles influence NSSI behavior. This study tested whether body regard moderated the mediational effect of self-blame coping on the relationship between poor self-concept clarity and past-year NSSI. METHODS: A sample of 1906 university students had complete data from an anonymous online questionnaires measuring self-concept clarity, self-blame coping, and past-year NSSI behaviors. RESULTS: Past-year NSSI was reported by 23.5% of the sample. Moderated mediational regression analyses using the PROCESS macro for SPSS were run. Body regard significantly moderated the effects of self-blame coping and poor self-concept clarity on NSSI such that neither risk factor was associated with NSSI when body regard was high. Poor self-concept clarity also retained a significant, although weakened, direct relationship with NSSI in the full model. CONCLUSIONS: Positive body regard is protective and appears to mitigate the strength of the relationships between poor self-concept clarity and self-blame coping on past year NSSI. When body regard is low or average, poor self-concept clarity is associated with increased NSSI, partly through the effect of self-blame coping. Treatments that address body- and self-perceptions related to self-concept may enhance the effectiveness of interventions used to reduce NSSI behavior.

Leveraging Digital Media to Promote Youth Mental Health: Flipping the Script on Social Media-Related Risk.

Purpose of Review: Despite growing public concern about the negative impact of digital media for mental health problems, there are key ways in which digital media can be leveraged to prevent such outcomes. This article reviews research exploring the ways that digital media, particularly social media, can be used to prevent negative mental health outcomes and promote youth mental health and well-being. Recent findings: Research indicates that media can be protective against mental health problems and promote mental health by enabling social support and destigmatizing mental illness, especially for youth with limited resources. Media also can be leveraged to identify those at risk, to educate, provide resources, and promote well-being, and to track symptoms and intervene to prevent or mitigate negative mental health outcomes. There is limited research on interventions designed to reduce the negative effects of digital media on mental health, especially those that harness media itself, a critical area of future research. Summary: This article provides a summary of the current evidence on this topic, highlights key directions for future research, and provides evidence-based recommendations for adolescents, families, educators, clinicians, industry, and policy-makers to prevent mental health problems related to media.

Exploring the Safety of a General Digital Mental Health Intervention to Effect Symptom Reduction among Individuals with and without Suicidal Ideation: A Secondary Analysis.

Trials of digital mental health interventions (DMHIs) often exclude individuals with suicide-related thoughts and behaviors precluding an understanding of whether DMHIs for affective disorders are safe for, and perform similarly within, this high-risk group. We explore the safety and performance of a DMHI for depression in participants with and without suicidal ideation (SI) at baseline. Three hundred and one participants were included in this secondary data analysis from a trial of an 8-week DMHI comprising 14 smartphone apps. We found that SI decreased across the study among participants with baseline SI and that baseline SI status did not attenuate depression treatment effects. Through a case study of the IntelliCare platform, we find that DMHIs for general affective disorders can be safe.

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.

Weight Loss Expectations of Adults With Binge Eating: Cross-sectional Study With a Human-Centered Design Approach.

BACKGROUND: People tend to overestimate their expectations for weight loss relative to what is achievable in a typical evidence-based behavioral weight management program, which can impact treatment satisfaction and outcomes. We are engaged in formative research to design a digital intervention that addresses binge eating and weight management; thus, understanding expectations among this group can inform more engaging intervention designs to produce a digital intervention that can achieve greater clinical success. Studies examining weight loss expectations have primarily focused on people who have overweight or obesity. Only one study has investigated weight loss expectations among people with binge eating disorder, a population that frequently experiences elevated weight and shape concerns and often presents to treatment with the goal of losing weight. OBJECTIVE: The aim of the study is to investigate differences in weight loss expectations among people with varying levels of binge eating to inform the design of a digital intervention for binge eating and weight management. Such an evaluation may be crucial for people presenting for a digital intervention, given that engagement and dropout are notable problems for digital behavior change interventions. We tested the hypotheses that (1) people who endorsed some or recurrent binge eating would expect to lose more weight than those who did not endorse binge eating and (2) people who endorsed a more severe versus a low or moderate overvaluation of weight and shape would have higher weight loss expectations. METHODS: A total of 760 adults (n=504, 66% female; n=441, 58% non-Hispanic White) completed a web-based screening questionnaire. One-way ANOVAs were conducted to explore weight loss expectations for binge eating status as well as overvaluation of shape and weight. RESULTS: Weight loss expectations significantly differed by binge eating status. Those who endorsed some and recurrent binge eating expected to lose more weight than those who endorsed no binge eating. Participants with severe overvaluation of weight or shape expected to lose the most weight compared to those with low or moderate levels of overvaluation of weight and shape. CONCLUSIONS: In the sample, people interested in a study to inform a digital intervention for binge eating and weight management overestimated their expectations for weight loss. Given that weight loss expectations can impact treatment completion and success, it may be important to assess and modify weight loss expectations among people with binge eating prior to enrolling in a digital intervention. Future work should design and test features that can modify these expectations relative to individuals' intended treatment goals to facilitate engagement and successful outcomes in a digital intervention.

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.

"The library is so much more than books": considerations for the design and implementation of teen digital mental health services in public libraries.

Background: Adolescence is a vulnerable developmental period, characterized by high rates of mental health concerns, yet few adolescents receive treatment. Public libraries support adolescents by providing them with access to teen programming, technological resources, and have recently been providing mental health services. Digital mental health (DMH) services may help libraries provide scalable mental health solutions for their adolescent patrons and could be well positioned to address the mental health needs of historically underrepresented racial and ethnic (HURE) adolescents; however, little research has been conducted on the compatibility of DMH services with adolescent patron mental health needs or resource needs of library workers supporting them. Methods: The research team formed a partnership with a public library, which serves a large HURE adolescent population. We conducted needs assessment and implementation readiness interviews with 17 library workers, including leadership, librarians, and workers with specialized areas of practice. Interview questions focused on library infrastructure, as well as library needs and preferences around the design and implementation of DMH services for adolescents. We used the Consolidated Framework for Implementation Research as guiding implementation determinant framework to code and analyze the interview transcripts. Results: Our findings revealed library workers play an important role in guiding patrons to desired resources and share a goal of implementing adolescent DMH resources into the library and elevating marginalized adolescents' voices. Existing library resources, such as the library's role as a safe space for adolescents in the community, close relationships with external and community organizations, and availability of no-cost technological resources, could help facilitate the implementation of DMH services. Barriers related to community buy-in, mental health stigma, and library worker confidence in supporting adolescent mental health could affect service implementation. Conclusions: Our findings suggest public libraries are highly promising settings to deploy DMH services for adolescents. We identified important determinants that may impact the implementation of DMH services in public library settings. Special considerations are needed to design services to meet the mental health needs of HURE adolescent populations and those adolescents' most experiencing health inequities.

Developing, Deploying, and Evaluating Digital Mental Health Interventions in Spaces of Online Help- and Information-Seeking.

The internet is frequently the first point of contact for people seeking support for their mental health symptoms. Digital interventions designed to be deployed through the internet have significant promise to reach diverse populations who may not have access to, or are not yet engaged in, treatment and deliver evidence-based resources to address symptoms. The liminal nature of online interactions requires designing to prioritize needs detection, intervention potency, and efficiency. Real-world implementation, data privacy and safety are equally important and can involve transparent partnerships with stakeholders in industry and non-profit organizations. This commentary highlights challenges and opportunities for research in this space, grounded in learnings from multiple research projects and teams aligned with this effort.

Development and initial validation of scales to assess Decisional Balance (NSSI-DB), Processes of Change (NSSI-POC), and Self-Efficacy (NSSI-SE) in a population of young adults engaging in nonsuicidal self-injury.

Tools for assessing an individual's readiness to change nonsuicidal self-injury (NSSI) are limited. The Transtheoretical model of change (TTM) has been useful in predicting behavior change and guiding interventions for a variety of health behaviors including eating disorders, substance use disorders, and exercise. The aim of the current study was to examine the validity of test score interpretations from 3 newly developed measures to assess NSSI behavior change. Following in-depth interviews, modifications to existing TTM scales were made and tested with a set of web-based measures delivered to people who self-injure. This resulted in 11 new scales that reflect 3 domains associated with behavior change: NSSI-Decisional Balance (NSSI-DB), NSSI-Processes of Change (NSSI-POC), and NSSI-Self-Efficacy (NSSI-SE). Overall, results provide support for the reliability of test scores and validity of test scores interpretations. Implications for research, clinical use, and next steps are discussed. (PsycInfo Database Record (c) 2020 APA, all rights reserved).