Diversity, equity and inclusion considerations in mental health apps for young people: protocol for a scoping review.

INTRODUCTION: After COVID-19, a global mental health crisis affects young people, with one in five youth experiencing mental health problems worldwide. Delivering mental health interventions via mobile devices is a promising strategy to address the treatment gap. Mental health apps are effective for adolescent and young adult samples, but face challenges such as low real-world reach and under-representation of minoritised youth. To increase digital health uptake, including among minoritised youth, there is a need for diversity, equity and inclusion (DEI) considerations in the development and evaluation of mental health apps. How well DEI is integrated into youth mental health apps has not been comprehensively assessed. This scoping review aims to examine to what extent DEI considerations are integrated into the design and evaluation of youth mental health apps and report on youth, caregiver and other stakeholder involvement. METHODS AND ANALYSIS: We will identify studies published in English from 2009 to 29 September 2023 on apps for mental health in youth. We will use PubMed, Global Health, APA PsycINFO, SCOPUS, CINAHL PLUS and the Cochrane Database and will report according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses-Scoping Review Extension guidelines. Papers eligible for inclusion must be peer-reviewed publications in English involving smartphone applications used by adolescents or young adults aged 10-25, with a focus on depression, anxiety or suicidal ideation. Two independent reviewers will review and extract articles using a template developed by the authors. We will analyse the data using narrative synthesis and descriptive statistics. This study will identify gaps in the literature and provide a roadmap for equitable and inclusive mental health apps for youth. ETHICS AND DISSEMINATION: Ethics approval is not required. Findings will be disseminated through academic, industry, community networks and scientific publications.

Community Teens' COVID-19 Experience: Implications for Engagement Moving Forward.

Data collected from pediatric primary care settings during the pandemic suggest an increase in internalizing symptoms and disparities in care based upon minoritized identity status(es). To inform care moving forward, the current study characterized the pandemic and related technology usage experiences of teenaged pediatric patients from communities with high hardship indexes. As part of a larger mixed-methods study, 17 teens (Mean age = 15.99 ± .99) and 10 caregivers independently voiced experiences related to the pandemic during remote focus group and interview sessions. Thematic analyses were used to assess qualitative data; descriptive analyses were used to characterize qualitative data. Despite no direct queries about the pandemic, 41% of teens and 40% of caregivers described their lived experiences during the pandemic. Two subthemes emerged within the primary theme of COVID-19: (1) Wellness/Mental Health and (2) Smartphone Use and Utility. Although distress and negative effects were voiced, questionnaire data indicated normative psychosocial functioning for both teen self-report and caregiver proxy report. Informed by the voiced experiences of teens and their caregivers from communities with high hardship indexes, methods for better assessing and managing internalizing symptoms in teen patients are presented. A multi-modal and multi-informant approach that leverages technology to garner information about teens' experiences and deliver care may help improve the well-being of teens in communities systemically burdened with disparities.

Median arcuate ligament syndrome: a cost analysis to determine the economic burden of a rarely diagnosed disease.

Background: Chronic abdominal pain (CAP) is a medical condition resulting in enormous economic burden and healthcare utilization costs. One understudied source of CAP is the median arcuate ligament syndrome (MALS). MALS is often not diagnosed and treated for a variety of reasons, including the fact that MALS is highly comorbid with psychological symptoms and psychiatric disorders similar to CAP. To better inform future work on the study of MALS, we undertook a pilot study to estimate the economic impact and public health burden of this condition. We hypothesized that MALS imposes a significant public health burden. Methods: Pediatric and adult patients enrolled in a prospective study undergoing multidisciplinary evaluation and treatment for MALS at a tertiary care facility were invited to participate in a brief self-report survey, the Direct and Indirect Medical Care Impact of MALS Form, to capture health care resources including procedures, surgeries, health care visits, and absenteeism (school and work). To estimate costs from the Direct and Indirect Medical Care Impact of MALS Form, the medical care usage data self-reported by patients were converted to dollar value utilizing FSC-93 billing data and corresponding current procedural terminology (CPT) codes for procedures and provider visits one year prior to surgery and then following surgery. Descriptive analyses were conducted to characterize the sample in terms of demographics and reported absences from school and work. Results: One hundred and nineteen patients (mean age = 30.9 ± 13.0) completed the questionnaires, yielding a 57% response rate. 82.4% (n = 98) of the participants were female and 90.8% (n = 108) were non-Hispanic/Latine white. The mean and median surgical follow-up periods were 5.3 and 5.4 years, respectively. Overall, median cost of provider and ancillary healthcare provider visits for each patient was (US)$19,119 including the pre-operative and post-operative visits. The mean cost for providers alone was (US)$28,908. Wilcoxon signed-ranks tests indicated that the postoperative missed number of days of school were significantly lower than the pre-surgical number of missed school days (Z = -3.36, p = 0.001). Similarly, there were significantly less missed work-days following surgery than before for the entire sample (Z = -2.86, p = 0.004). Conclusion: Median arcuate ligament syndrome imposes a large economic burden on patients and the healthcare system. The current findings, although reflective of a homogenous population, are adding to a growing body of literature suggesting that healthcare disparities play a role in the low rates of diagnosis and treatment of MALS.

mHealth Uses and Opportunities for Teens from Communities with High Health Disparities: A Mixed-Methods Study.

Despite widespread access to smartphones, teens from communities facing significant behavioral health disparities typically have low mobile health (mHealth) engagement. The purpose of this study was to characterize teen and caregiver perspectives about smartphone use and access, mHealth, and how mHealth could address teens' behavioral health needs during the pandemic and beyond. Remote recruitment and methodologies were used to engage 17 teens (M age = 15.9 ± 0.9) and 10 caregivers living in urban communities with significant socioeconomic and health disparities. Participants completed a focus group or interview session (based on preference) and self-report questionnaires (e.g., behavioral health history, pandemic impacts, technology use). Qualitative and quantitative data were analyzed using thematic and descriptive analyses, respectively. Both quantitative and qualitative data indicated relevant behavioral health concerns for teens and their families, impacts from the pandemic, and frequent smartphone use. Primary teen and caregiver themes included (1) health and wellness concerns, (2) barriers, (3) use of smartphones, (4) impacts of smartphones, and (5) opinions/suggestions for mHealth. This multi-method and multi-informant study highlighted the lived experiences of teens from marginalized communities and offered key insights to increase the acceptability and real-world engagement of mHealth tools. To address barriers to care for this population beyond the pandemic, clear messaging must be used for mHealth tools (e.g., data privacy, expectations of use). These findings testify to the importance of collaboration with teens and caregivers from communities facing large health disparities in future mHealth design, development, and deployment.

Digital Screening and Automated Resource Identification System to Address COVID-19-Related Behavioral Health Disparities: Feasibility Study.

BACKGROUND: Digital mental health (DMH) tools use technology (eg, websites and mobile apps) to conveniently deliver mental health resources to users in real time, reducing access barriers. Underserved communities facing health care provider shortages and limited mental health resources may benefit from DMH tools, as these tools can help improve access to resources. OBJECTIVE: This study described the development and feasibility evaluation of the Emotional Needs Evaluation and Resource Guide for You (ENERGY) System, a DMH tool to meet the mental health and resource needs of youth and their families developed in the context of the COVID-19 pandemic. The ENERGY System offers a brief assessment of resource needs; problem-solving capabilities; and symptoms of depression, anxiety, trauma, and alcohol and substance use followed by automated, personalized feedback based on the participant's responses. METHODS: Individuals aged ≥15 years were recruited through community partners, community events, targeted electronic health record messages, and social media. Participants completed screening questions to establish eligibility, entered demographic information, and completed the ENERGY System assessment. Based on the participant's responses, the ENERGY System immediately delivered digital resources tailored to their identified areas of need (eg, relaxation). A subset of participants also voluntarily completed the following: COVID-19 Exposure and Family Impact Survey (CEFIS) or COVID-19 Exposure and Family Impact Survey Adolescent and Young Adult Version (CEFIS-AYA); resource needs assessment; and feedback on their experience using the ENERGY System. If resource needs (eg, housing and food insecurity) were endorsed, lists of local resources were provided. RESULTS: A total of 212 individuals accessed the ENERGY System link, of which 96 (45.3%) completed the screening tool and 86 (40.6%) received resources. Participant responses on the mental health screening questions triggered on average 2.04 (SD 1.94) intervention domains. Behavioral Activation/Increasing Activities was the most frequently launched intervention domain (56%, 54/96), and domains related to alcohol or substance use were the least frequent (4%, 4/96). The most frequently requested support areas were finances (33%, 32/96), transportation (26%, 25/96), and food (24%, 23/96). The CEFIS and CEFIS-AYA indicated higher than average impacts from the pandemic (ie, average scores >2.5). Participants were satisfied with the ENERGY System overall (65%, 39/60) as well as the length of time it took to answer the questions (90%, 54/60), which they found easy to answer (87%, 52/60). CONCLUSIONS: This study provided initial support for the feasibility of the ENERGY System, a DMH tool capable of screening for resource and mental health needs and providing automated, personalized, and free resources and techniques to meet the identified needs. Future studies should seek direct feedback from community members to further improve the ENERGY System and its dissemination to encourage use.

A Call to Action: Using and Extending Human-Centered Design Methodologies to Improve Mental and Behavioral Health Equity.

Mental health disparities directly tie to structural racism. Digital mental health (DMH), the use of technologies to deliver services, have been touted as a way to expand access to care and reduce disparities. However, many DMH fail to mitigate the persistent disparities associated with structural racism that impact delivery (e.g., costs, dependable internet access)-and may even exacerbate them. Human-centered design (HCD) may be uniquely poised to design and test interventions alongside, rather than "for," marginalized individuals. In employing HCD methodologies, developers may proceed with a vested interest in understanding and establishing empathy with users and their needs, behaviors, environments, and constraints. As such, HCD used to mindfully address structural racism in behavioral health care may address shortcomings of prior interventions that have neglected to elevate the voices of marginalized individuals. We argue that a paradigm shift in behavioral health services research is critically needed-one that embraces HCD as a key methodological framework for developing and evaluating interventions with marginalized communities, to ultimately promote more accessible, useful, and equitable care. The current commentary illustrates practical examples of the use of HCD methodologies to develop and evaluate DMH designed with marginalized populations, while also highlighting its limitations and need for even greater inclusivity. Following this, calls to action to learn from and improve upon HCD methodologies will be detailed. Acknowledging potential limitations of current design practices, methodologies must ultimately engage representative voices beyond research participation and invest in their active role as compensated and true collaborators to intervention design.

Patient-Reported Experiences With Median Arcuate Ligament Syndrome: Resilience and Resources Required.

Objective: Median arcuate ligament syndrome (MALS) is a vascular condition that is treated surgically. MALS is a diagnosis of exclusion and therefore often requires that pediatric patients undergo an exhaustive number of tests and potential experiences with misdiagnosis before receiving an accurate diagnosis and treatment. The purpose of the current mixed-methods study was to assess the pediatric patient- and parent-reported experience of (a) coping with and managing symptoms associated with MALS and (b) the diagnostic, treatment, and recovery process for pediatric MALS. Methods: Nine postsurgical pediatric patients (M age = 20.11 ± 3.59; all <18 at time of surgery) and 6 parents participated in semistructured focus groups and completed self-report questionnaires about their experiences and current functioning. Results: Four themes emerged: (a) the impact of MALS (physical and psychosocial), (b) uncertainties and feeling misunderstood, (c) extensive medical tests, and (d) mental health impacts, with an additional three themes related to specific querying (i.e., appreciation, recommendations, and interdisciplinary treatment team). With the exception of variable long-term physical impacts, patients and their parents reported fairly consistent experiences, and the content of these themes was consistent with self-reported quantitative data. Conclusions: The current study highlights the resilience and resources seemingly required for effective diagnosis and intervention for pediatric MALS. The need for increased knowledge about MALS, the inclusion of an interdisciplinary treatment team, and long-term follow-up for pediatric patients with MALS are implicated.

An overview of and recommendations for more accessible digital mental health services.

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.

Technology usage and barriers to the use of behavioral intervention technologies in adolescents and young adults with spina bifida.

PURPOSE: The majority of behavioral intervention technologies (BITs) have been designed and targeted towards the general population (i.e., typically-developing individuals); thus, little is known about the use of BITs to aid those with special needs, such as youth with disabilities. The current study assessed adolescents and young adults with spina bifida (AYA-SB) for: 1) their technology usage, and 2) anticipated barriers to using technology to help manage their health. METHODS: AYA-SB completed a survey of their media and technology usage. A card sorting task that ranked and grouped anticipated barriers to using a mobile app to manage health was also completed. Ranked means, standard deviations, and the number of times a barrier was discarded were used to interpret sample rankings. RESULTS: AYA-SB reported less frequent technology and media use than the general population. However, differences emerged by age, with young adults endorsing higher usage than their younger counterparts. Top concerns focused on usability, accessibility, safety, personal barriers due to lack of engagement, technological functioning, privacy, and efficacy. CONCLUSIONS: AYA-SB appear to be selective users of technology. It is therefore critical that the design of BITs address their concerns, specifically aiming to have high usability, accessibility, and engagement.

Harnessing Phones to Target Pediatric Populations with Socially Complex Needs: Systematic Review.

BACKGROUND: Mobile and smartphones are owned and accessed by many, making them a potentially optimal delivery mechanism to reach pediatric patients with socially complex needs (ie, pediatric populations who face overlapping adversities). OBJECTIVE: To address the specialized needs of youth from such groups, this review synthesized the literature exploring the use of phone-based delivery to access pediatric populations with socially complex needs, targeting mental and behavioral health outcomes. The purpose of this synthesis was to provide recommendations for future research developing phone-based interventions for youth with socially complex needs. METHODS: A trained medical librarian conducted the search strategy in the following databases: PubMed, Scopus, CINAHL, PsycINFO, Cochrane CENTRAL Register of Controlled Trials, Cochrane Database of Systematic Reviews, and Google Scholar. Studies targeting youth with socially complex needs were defined by recruiting samples that were primarily from traditionally underserved populations (ie, sex/gender minorities, racial/ethnic background, low socioeconomic status, rural/remote location, and sexual orientation). A systematic narrative framework was utilized and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed (registration number CRD42020141212). RESULTS: A total of 14 studies met the inclusion criteria, with 3 depicting the use of phones to complete assessment and tracking goals and 11 to intervene on mental and behavioral health targets. CONCLUSIONS: The literature indicates important directions for future research, including (1) involving diverse and representative teens (ie, the likely users of the interventions), stakeholders, and clinical/research staff; (2) integrating evidence-based therapies with minority-focused theories; (3) harnessing mobile device capabilities; and (4) considering and assessing for potential costs in phones as delivery mechanisms. TRIAL REGISTRATION: PROSPERO CRD42020141212; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=141212.

The impact of psychiatric comorbidities on patient-reported surgical outcomes in adults treated for the median arcuate ligament syndrome.

OBJECTIVE: Median arcuate ligament syndrome (MALS) is an often overlooked, surgically correctable condition that mimics functional chronic abdominal pain. Patient-reported surgical outcomes are unpredictable in MALS. The objective of this study was to define the psychiatric comorbidities in a cohort of adults undergoing surgery for MALS and to determine whether these comorbidities are predictive of patient-reported quality of life (QOL) outcomes. METHODS: A prospective observational trial was conducted between April 1, 2010, and December 31, 2015, at a single tertiary care hospital. Adults with a diagnosis of chronic abdominal pain in the setting of celiac artery compression were enrolled in a prospective Institutional Review Board-approved observational trial. Patients completed psychological assessments before surgery for MALS and at 6 months after surgery. The primary outcome was patient-reported health-related QOL (young adult version of the Pediatric Quality of Life Inventory). RESULTS: A total of 51 patients (80% female; n = 41) with a mean age of 30.5 (±12.4) years were enrolled. Surgery significantly improved celiac artery hemodynamics in the entire cohort (P < .0001) as well as overall QOL (67.8 ± 14.6 [before surgery] vs 80.3 ± 13.7 [after surgery]; P < .001). Psychiatric diagnoses were common in this cohort, with 14 of 51 (28%) patients meeting criteria for a psychiatric diagnosis. There were no differences in the number of patients with psychiatric diagnoses between presurgical and postsurgical evaluations (14 [28%] vs 13 [26%]; P = .8). Exploratory analyses suggest that having a psychiatric diagnosis at the presurgical evaluation may predict significantly lower postsurgical QOL (R2 = 0.009; P = .01). CONCLUSIONS: Surgery improves patient-reported QOL in adults treated for MALS. Psychiatric diagnoses are common in adults with MALS and predict worse patient-reported QOL outcomes.