Facilitators of and barriers to County Behavioral Health System Transformation and Innovation: an interview study.

BACKGROUND: Inadequate and inequitable access to quality behavioral health services and high costs within the mental health systems are long-standing problems. System-level (e.g., fee-for-service payment model, lack of a universal payor) and individual factors (e.g., lack of knowledge of existing resources) contribute to difficulties in accessing resources and services. Patients are underserved in County behavioral health systems in the United States. Orange County's (California) Behavioral Health System Transformation project sought to improve access by addressing two parts of their system: developing a template for value-based contracts that promote payor-agnostic care (Part 1); developing a digital platform to support resource navigation (Part 2). Our aim was to evaluate facilitators of and barriers to each of these system changes. METHODS: We collected interview data from County or health care agency leaders, contracted partners, and community stakeholders. Themes were informed by the Consolidated Framework for Implementation Research. RESULTS: Five themes were identified related to behavioral health system transformation, including 1) aligning goals and values, 2) addressing fit, 3) fostering engagement and partnership, 4) being aware of implementation contexts, and 5) promoting communication. A lack of fit into incentive structures and changing state guidelines and priorities were barriers to contract development. Involving diverse communities to inform design and content facilitated the process of developing digital tools. CONCLUSIONS: The study highlights the multifaceted factors that help facilitate or hinder behavioral health system transformation, such as the need for addressing systematic and process behaviors, leveraging the knowledge of leadership and community stakeholders, fostering collaboration, and adapting to implementation contexts.

Variability in the Integration of Peers in a Multi-site Digital Mental Health Innovation Project.

Peer support specialists ("peers") who have the lived experience of, and are in recovery from, mental health challenges are increasingly being integrated into mental health care as a reimbursable service across the US. This study describes the ways peers were integrated into Help@Hand, a multi-site innovation project that engaged peers throughout efforts to develop and offer digital mental health interventions across counties/cities ("sites") in California. Using a mixed methods design, we collected quantitative data via quarterly online surveys, and qualitative data via semi-annual semi-structured phone interviews with key informants from Help@Hand sites. Quantitative data were summarized as descriptive findings and qualitative data from interviews were analyzed using rapid qualitative analysis methods. In the final analytic phase, interview quotes were used to illustrate the complex realities underlying quantitative responses. 117 quarterly surveys and 46 semi-annual interviews were completed by key informants from 14 sites between September 2020 and January 2023. Peers were integrated across diverse activities for support and implementation of digital mental health interventions, including development of training and educational materials (78.6% of sites), community outreach (64.3%), technology testing (85.7%), technology piloting (90.9%), digital literacy training (71.4%), device distribution (63.6%), technical assistance (72.7%), and cross-site collaboration (66.7%). Peer-engaged activities shifted over time, reflecting project phases. Peer-provided digital literacy training and technology-related support were key ingredients for project implementations. This study indicates the wide range of ways peers can be integrated into digital mental health intervention implementations. Considering contextual readiness for peer integration may enhance their engagement into programmatic activities.

Real-World Adoption of Mental Health Support Among Adolescents: Cross-Sectional Analysis of the California Health Interview Survey.

OBJECTIVE: We aim to examine: (a) the extent to which patterns of adoption of counseling services and digital mental health interventions (DMHIs) shifted in recent years (2019-2021); (b) the impact of distress on adoption of mental health support; and (c) reasons related to adolescents' low adoption of DMHIs when experiencing distress. METHODS: Data were from three cohorts of adolescents aged 12-17 years (n = 847 in 2019; n = 1,365 in 2020; n = 1,169 in 2021) recruited as part of the California Health Interview Survey. We estimated logistic regression models to examine the likelihood of using mental health support as a function of psychological distress, sociodemographic characteristics, and cohorts. We also analyzed adolescents' self-reported reasons for not trying DMHIs as a function of distress. RESULTS: The proportion of adolescents reporting elevated psychological distress (∼50%) was higher than those adopting counseling services (<20%) or DMHIs (<10%). A higher level of distress was associated with a greater likelihood of receiving counseling (OR = 1.15), and using DMHIs to connect with a professional (Odds ratio (OR) = 1.11) and for self-help (OR = 1.17). Among those experiencing high distress, adolescents' top reason for not adopting an online tool was a lack of perceived need (19.2%). CONCLUSION: Adolescents' main barriers to DMHI adoption included a lack of perceived need, which may be explained by a lack of mental health literacy. Thoughtful marketing and dissemination efforts are needed to increase mental health awareness and normalize adoption of counseling services and DMHIs.

Health-Related Social Control and Perceived Stress Among High-Risk Latina Mothers with Type 2 Diabetes and Their At-Risk Adult Daughters.

BACKGROUND: Diabetes-related multi-morbidity and cultural factors place Latinas with diabetes at increased risk for stress, which can threaten illness management. Families provide an ideal focus for interventions that seek to strengthen interpersonal resources for illness management and, in the process, to reduce stress. The current study sought to examine whether participating in a dyadic intervention was associated with reduced perceived stress and, furthermore, whether this association was mediated by persuasion and pressure, two forms of health-related social control. METHOD: Latina mothers with diabetes and their at-risk adult daughters participated in either (1) a dyadic intervention that encouraged constructive collaboration to improve health behaviors and reduce stress, or (2) a usual-care minimal control condition. Actor-partner interdependence model analysis was used to estimate the effect of the intervention on dyads' perceived stress, and mother-daughter ratings of health-related social control as potential mediators. RESULTS: Results revealed that participating in the intervention was associated with significantly reduced perceived stress for daughters, but not for mothers (ß = - 3.00, p = 0.02; ß = - 0.57, p = 0.67, respectively). Analyses also indicated that the association between the intervention and perceived stress was mediated by persuasion, such that mothers' who experienced more health-related persuasion exhibited significantly less post-intervention perceived stress (indirect effect = - 1.52, 95% CI = [- 3.12, - 0.39]). Pressure exerted by others, however, did not evidence a mediating mechanism for either mothers or daughters. CONCLUSION: These findings buttress existing research suggesting that persuasion, or others' attempts to increase participants' healthy behaviors in an uncritical way, may be a driving force in reducing perceived stress levels.

Rise in Use of Digital Mental Health Tools and Technologies in the United States During the COVID-19 Pandemic: Survey Study.

BACKGROUND: Accompanying the rising rates of reported mental distress during the COVID-19 pandemic has been a reported increase in the use of digital technologies to manage health generally, and mental health more specifically. OBJECTIVE: The objective of this study was to systematically examine whether there was a COVID-19 pandemic-related increase in the self-reported use of digital mental health tools and other technologies to manage mental health. METHODS: We analyzed results from a survey of 5907 individuals in the United States using Amazon Mechanical Turk (MTurk); the survey was administered during 4 week-long periods in 2020 and survey respondents were from all 50 states and Washington DC. The first set of analyses employed two different logistic regression models to estimate the likelihood of having symptoms indicative of clinical depression and anxiety, respectively, as a function of the rate of COVID-19 cases per 10 people and survey time point. The second set employed seven different logistic regression models to estimate the likelihood of using seven different types of digital mental health tools and other technologies to manage one's mental health, as a function of symptoms indicative of clinical depression and anxiety, rate of COVID-19 cases per 10 people, and survey time point. These models also examined potential interactions between symptoms of clinical depression and anxiety, respectively, and rate of COVID-19 cases. All models controlled for respondent sociodemographic characteristics and state fixed effects. RESULTS: Higher COVID-19 case rates were associated with a significantly greater likelihood of reporting symptoms of depression (odds ratio [OR] 2.06, 95% CI 1.27-3.35), but not anxiety (OR 1.21, 95% CI 0.77-1.88). Survey time point, a proxy for time, was associated with a greater likelihood of reporting clinically meaningful symptoms of depression and anxiety (OR 1.19, 95% CI 1.12-1.27 and OR 1.12, 95% CI 1.05-1.19, respectively). Reported symptoms of depression and anxiety were associated with a greater likelihood of using each type of technology. Higher COVID-19 case rates were associated with a significantly greater likelihood of using mental health forums, websites, or apps (OR 2.70, 95% CI 1.49-4.88), and other health forums, websites, or apps (OR 2.60, 95% CI 1.55-4.34). Time was associated with increased odds of reported use of mental health forums, websites, or apps (OR 1.20, 95% CI 1.11-1.30), phone-based or text-based crisis lines (OR 1.20, 95% CI 1.10-1.31), and online, computer, or console gaming/video gaming (OR 1.12, 95% CI 1.05-1.19). Interactions between COVID-19 case rate and mental health symptoms were not significantly associated with any of the technology types. CONCLUSIONS: Findings suggested increased use of digital mental health tools and other technologies over time during the early stages of the COVID-19 pandemic. As such, additional effort is urgently needed to consider the quality of these products, either by ensuring users have access to evidence-based and evidence-informed technologies and/or by providing them with the skills to make informed decisions around their potential efficacy.

Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review.

BACKGROUND: Digital mental health interventions (DMHIs), which deliver mental health support via technologies such as mobile apps, can increase access to mental health support, and many studies have demonstrated their effectiveness in improving symptoms. However, user engagement varies, with regard to a user's uptake and sustained interactions with these interventions. OBJECTIVE: This systematic review aims to identify common barriers and facilitators that influence user engagement with DMHIs. METHODS: A systematic search was conducted in the SCOPUS, PubMed, PsycINFO, Web of Science, and Cochrane Library databases. Empirical studies that report qualitative and/or quantitative data were included. RESULTS: A total of 208 articles met the inclusion criteria. The included articles used a variety of methodologies, including interviews, surveys, focus groups, workshops, field studies, and analysis of user reviews. Factors extracted for coding were related to the end user, the program or content offered by the intervention, and the technology and implementation environment. Common barriers included severe mental health issues that hampered engagement, technical issues, and a lack of personalization. Common facilitators were social connectedness facilitated by the intervention, increased insight into health, and a feeling of being in control of one's own health. CONCLUSIONS: Although previous research suggests that DMHIs can be useful in supporting mental health, contextual factors are important determinants of whether users actually engage with these interventions. The factors identified in this review can provide guidance when evaluating DMHIs to help explain and understand user engagement and can inform the design and development of new digital interventions.

Understanding Mental Health App Use Among Community College Students: Web-Based Survey Study.

BACKGROUND: Mental health concerns are a significant issue among community college students, who often have less access to resources than traditional university college students. Mobile apps have the potential to increase access to mental health care, but there has been little research investigating factors associated with mental health app use within the community college population. OBJECTIVE: This study aimed to understand facilitators of and barriers to mental health app use among community college students. METHODS: A web-based survey was administered to a randomly selected sample of 500 community college students from April 16 to June 30, 2020. Structural equation modeling was used to test the relationships between the use of mental health apps, perceived stress, perceived need to seek help for mental health concerns, perceived stigma, past use of professional mental health services, privacy concerns, and social influence of other people in using mental health apps. RESULTS: Of the 500 participants, 106 (21.2%) reported use of mental health apps. Perceived stress, perceived need to seek help, past use of professional services, and social influence were positively associated with mental health app use. Furthermore, the effect of stress was mediated by a perceived need to seek help. Privacy concerns were negatively associated with mental health app use. Stigma, age, and gender did not have a statistically significant effect. CONCLUSIONS: These findings can inform development of new digital interventions and appropriate outreach strategies to engage community college students in using mental health apps.

Certificate of need and the cost of competition in home healthcare markets.

We used 2010-16 Medicare Cost Reports for 10,737 freestanding home health agencies (HHAs) to examine the impact of home health (HH) and nursing home (NH) certificate-of-need (CON) laws on HHA caseload, total and per-patient variable costs. After adjusting for other HHA characteristics, total costs were higher in states with only HH CON laws ($2,975,698), only NH CON laws ($1,768,097), and both types of laws ($3,511,277), compared with no CON laws ($1,538,536). Higher costs were driven by caseloads, as CON reduced per-patient costs. Additional research is needed to distinguish whether this is due to skimping on quality vs. economies of scale.

Novel Health Information Technology to Aid Provider Recognition and Treatment of Major Depressive Disorder and Posttraumatic Stress Disorder in Primary Care.

BACKGROUND: Millions of traumatized refugees worldwide have resettled in the United States. For one of the largest, the Cambodian community, having their mental health needs met has been a continuing challenge. A multicomponent health information technology screening tool was designed to aid provider recognition and treatment of major depressive disorder and posttraumatic stress disorder (PTSD) in the primary care setting. METHODS: In a clustered randomized controlled trial, 18 primary care providers were randomized to receive access to a multicomponent health information technology mental health screening intervention, or to a minimal intervention control group; 390 Cambodian American patients empaneled to participating providers were assigned to the providers' randomized group. RESULTS: Electronic screening revealed that 65% of patients screened positive for depression and 34% screened positive for PTSD. Multilevel mixed effects logistic models, accounting for clustering structure, indicated that providers in the intervention were more likely to diagnose depression [odds ratio (OR), 6.5; 95% confidence interval (CI), 1.48-28.79; P=0.013] and PTSD (OR, 23.3; 95% CI, 2.99-151.62; P=0.002) among those diagnosed during screening, relative to the control group. Providers in the intervention were more likely to provide evidence-based guideline (OR, 4.02; 95% CI, 1.01-16.06; P=0.049) and trauma-informed (OR, 15.8; 95% CI, 3.47-71.6; P<0.001) care in unadjusted models, relative to the control group. Guideline care, but not trauma-informed care, was associated with decreased depression at 12 weeks in both study groups (P=0.003), and neither was associated with PTSD outcomes at 12 weeks. CONCLUSIONS: This innovative approach offers the potential for training primary care providers to diagnose and treat traumatized patients, the majority of whom seek mental health care in primary care (ClinicalTrials.gov number, NCT03191929).

Do cultural values have a role in health equity? A study of Latina mothers and daughters.

OBJECTIVES: Recently, there has been a call to better understand Latino health and arrive at effective approaches for achieving health equity via research focusing on the association between cultural factors and health. This study examined whether familism, a cultural value that emphasizes warm and close family relationships, would attenuate the negative effects that perceived stress, a psychological process that can worsen health, can have on two physical health indicators- number of health conditions and bodily pain. METHOD: Latina mothers (n = 85, Mage = 52.68, SD = 6.60) with Type 2 diabetes and their daughters (n = 86, Mage = 27.69, SD = 7.61) whose weight put them at risk for also developing the condition were recruited to take part in a larger intervention study aimed at improving weight loss/dietary intake. Participants completed measures of familism, perceived stress, health conditions, and bodily pain. RESULTS: Results indicated that in the daughters, familism and perceived stress interacted to predict health conditions and bodily pain. As familism decreased, stress was associated with more health conditions and more bodily pain. These interactions were not significant for the mothers. CONCLUSIONS: First, familism has the potential to buffer the negative effect of stress in ways that are protective for health among Latinas at risk for diabetes. Second, this buffering effect has boundary conditions, suggesting that a better understanding is needed of how, for whom, and under what circumstances familism can be beneficial for health. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

"Living happily despite having an illness": Perceptions of healthy aging among Korean American, Vietnamese American, and Latino older adults.

BACKGROUND/OBJECTIVE: The growingly diverse aging population presents a challenge for the geriatric workforce, particularly its capacity to effectively respond to the sociocultural and linguistic needs of ethnic minority older adults. Informed by research on the importance of culturally-competent care in reducing racial and ethnic health disparities, this study sought to understand the meaning of healthy aging from the perspectives of Korean American, Vietnamese American, and Latino older adults. METHODS: Interviews were conducted with 30 participants recruited from community-based organizations in Southern California. RESULTS: Several dimensions emerged in the participants' understanding of healthy aging: (1) having good physical and mental health (2) optimism and acceptance; (3) social connectedness; (4) taking charge of one's health; and (5) independence and self-worth. CONCLUSIONS: Results could inform the development of a culturally-responsive geriatric healthcare system that takes into account older adults' beliefs, preferences, and needs to promote successful aging.

Mental health symptoms and patient-reported diabetes symptom burden: implications for medication regimen changes.

AIMS: To examine the relative contribution of glycaemic control (HbA1C) and depressive symptoms on diabetes-related symptom burden (hypoglycaemia and hyperglycaemia) in order to guide medication modification. METHODS: Secondary analysis of medical records data and questionnaires collected from a racially/ethnically diverse sample of adult patients with type 2 diabetes (n = 710) from seven outpatient clinics affiliated with an academic medical centre over a 1-year period as part of the Reducing Racial Disparities in Diabetes: Coached Care (R2D2C2) study. RESULTS: Results from linear regression analysis revealed that patients with high levels of depressive symptoms had more diabetes-related symptom burden (both hypoglycaemia and hyperglycaemia) than patients with low levels of depressive symptoms (ßs = 0.09-0.17, Ps < 0.02). Furthermore, results from two logistic regression analyses suggested that the odds of regimen intensification at 1-year follow-up was marginally associated with patient-reported symptoms of hypoglycaemia [adjusted odds ratio (aOR) = 1.24, 95% CI: 0.98-1.58; P = 0.08] and hyperglycaemia (aOR = 1.21, 95% CI: 1.00-1.46; P = 0.05), after controlling for patients' HbA1C, comorbidity, insulin use and demographics. These associations, however, were diminished for patients with high self-reported hypoglycaemia and high levels of depressive symptoms, but not low depressive symptoms (interaction terms for hypoglycaemia by depressive symptoms, aOR = 0.98, 95% CI: 0.97-0.99; P = 0.03). CONCLUSIONS: Mental health symptoms are associated with higher levels of patient-reported of diabetes-related symptoms, but the association between diabetes-related symptoms and subsequent regimen modifications is diminished in patients with greater depressive symptoms. Clinicians should focus attention on identifying and treating patients' mental health concerns in order to address the role of diabetes-related symptom burden in guiding physician medication prescribing behaviour.

Loneliness and Expanding Social Ties in Later Life: Motivation, Perceived Success, and Implications for Emotional Health.

OBJECTIVES: Social networks undergo changes in later life, reflecting proactive decreases as well as increases in size, but relatively little is known about the factors that motivate older adults to expand their social ties. Loneliness might be expected to motivate older adults to expand their social ties. Paradoxically, however, studies of younger age groups have linked loneliness to a self-protective reluctance to initiate social contact. The current study investigated whether loneliness fosters or inhibits older adults' efforts to expand their social ties and whether successful efforts are related to gains in emotional health. METHODS: Loneliness, motivation to expand social ties, and emotional health were assessed in a subset of older participants (N = 375) from the Later Life Study of Social Exchanges. RESULTS: Greater loneliness was associated with less interest, less investment of effort, and less success in making new ties and rekindling dormant ties. Nonetheless, lonelier older adults who expanded their social ties, particularly by rekindling dormant ties, exhibited some gains in emotional health over a 1-year period. DISCUSSION: Greater attention to the role of loneliness in older adults' motivations for making new ties or rekindling dormant ties will broaden our understanding of social network changes in later life.

Loneliness, online learning and student outcomes in college students living with disabilities: results from the National College Health Assessment Spring 2022.

Background: People with disabilities face many health, economic and social disparities. Loneliness is recognized as a significant issue for this group however, its impact on students with disabilities (SWDs) remains a critically underexplored area of research. Importantly, as higher education continues its transition to the digital space, the potential to entrench social isolation and loneliness within this population has not been examined. This research seeks to explore the associations between SWDs, loneliness, online learning, and academic outcomes in a national survey of university students. Methods: Using the National College Health Assessment from Spring 2022, this study compared multiple outcomes between different groups of SWDs and students without disabilities. Two ordinal regression models were used to estimate associations between loneliness, disability type and learning mode (online vs. in-person), as well as cumulative grade average (CGA) with disability type. Results: All disability types included within this study were positively associated with increased odds of loneliness for those engaged in online learning compared to students without disabilities. Interactions indicate a significant effect of in-person learning compared with online learning for deaf or hard of hearing students, and those with multiple disabilities. Several disability groups reported decreased odds of higher CGA compared to students without disabilities. Conclusion: Loneliness is a significant issue for all SWD groups reported in this study. The impact of disability on academic outcomes is reported herein; however, its impact on medium-to-long term outcomes for these individuals remains unknown. To address inequities in higher education for SWDs, universities must invest more resources to holistically support these students.

Individual and organizational outcomes of engaging peers in the cocreation of digital mental health interventions.

Within mental health services, persons in recovery from their own experiences of mental health challenges (peers) are increasingly being trained to provide peer support. This study describes individual and organizational outcomes related to engaging peers in a multisite demonstration project in California that sought to integrate them as cocreators throughout planning and implementation of digital mental health interventions. We collected data from key informants across 11 sites. Quarterly online surveys invited key informants to report perceived outcomes of the peer component. Biannual interviews elicited details regarding survey-reported outcomes. Quantitative data provided indications of outcome prevalence and consistency, and quotes from the interviews illustrated the complex realities underlying survey responses. One hundred three quarterly surveys and 39 biannual interviews were completed between Summer 2020 and Fall 2022. Key informants reported diverse outcomes, including integration of peer input into local decision making, mental health benefits to peers and community members, reduced workplace mental health stigma, and new cross-site collaborations. Five sites reported outcomes with greater consistency compared to the other six sites. Reports of increased peer visibility in the workplace coincided with reports of reduced stigma and increased value of peer input by mental health professionals. This study offers encouragement for the potential positive impact of engaging peers as cocreators of mental health interventions. Data suggest integrating peers does not increase mental health stigma and may instead result in various positive outcomes. The degree to which these outcomes manifest in a specific setting, however, may vary. Future research should seek to identify contextual factors that support actualization of positive outcomes. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Evaluation of a pilot implementation of a digital cognitive behavioral therapy platform for isolated older adults in county mental health services.

Background: Technology-enabled services (TESs) have the potential to increase access to mental healthcare. However, little research has focused on how TESs can be integrated into publicly funded service settings. As part of the state-wide Help@Hand project, Marin County conducted a pilot implementation of myStrength, a digital cognitive behavioral therapy platform, to explore its potential to reduce loneliness among isolated older adults. We evaluated the pilot impact using the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework. Method: A single-site 6-month pilot implementation recruited English (n = 15) and Spanish-speaking (n = 15) isolated older adults who received a digital literacy course followed by 8 weeks of myStrength access and human support. We evaluated factors related to reach, effectiveness, adoption, and implementation using the perspectives of users and County staff. Descriptive statistics were used to examine reach, adoption, and implementation. Nonparametric tests, including Friedman and Wilcoxon signed-rank, were used to examine effectiveness. Results: Reach: Compared to overall county demographics, platform users were majority female (93.1% vs. 50.5%), ethnoracialized (62.1% vs. 24.2%), and of lower socioeconomic status (Mdn = $35,000 vs. $131,008). Effectiveness: Users reported a significant (z = -2.62, p < .001) decrease in loneliness. Adoption: Users logged into myStrength an average of 10 times and completed 33 activities during the 8 weeks of myStrength use. Implementation: Each pilot staff (N = 20) spent an average of 19.8 hr (SD = 16.51) supporting users' use of myStrength during the pilot. Pilot staff reported several adaptations to meet the needs of users. Conclusions: Successes included reaching the target population, reducing loneliness, and user adoption. However, pilot staff invested significant time to support those with lower digital literacy skills. As such, although TESs may address unmet needs, their use with underserved populations may require upfront and ongoing support provided by the settings where they are implemented. Plain Language Summary Title: Testing a New Digital Therapy Tool for Isolated Older Adults in County Mental Health Services.

This paper reports on the use of digital tools to support needs in publicly funded mental healthcare. In 2021, Marin County piloted a program involving the use of myStrength, a digital cognitive-behavioral therapy (dCBT) platform, with human support provided by a nurse intern or promotores. Although several studies have demonstrated that dCBT can be effective, few studies have evaluated this in real-world settings or considered issues related to its implementation. As such, although dCBT can provide benefit to people, less is known about how to deploy it, especially in diverse contexts and populations. This project specifically focused on reducing loneliness among isolated older adults, including both English and Spanish speakers. This paper adds valuable insights by demonstrating that the project successfully reached the target population, reduced loneliness, and achieved high user adoption rates. It also identified challenges, including low digital literacy skills among the target populations and the need for substantial upfront and ongoing support. The findings suggest that the combination of dCBT and human support holds promise in addressing unmet mental health needs, especially among vulnerable populations. At the same time, the implementation of these services in such contexts demands substantial resources and support, especially to bridge the digital literacy gap. These implications have practical significance for practitioners, researchers, and policymakers, emphasizing the importance of tailored support mechanisms when deploying digital tools in publicly funded service settings to ensure equitable access and effectiveness.

Patient complexity and risk factor control among multimorbid patients with type 2 diabetes: results from the R2D2C2 study.

BACKGROUND: Among patients with type 2 diabetes, it is not known whether risk factor control is better or worse for those who also have heart disease, depression, multiple other comorbidities, and associated management challenges. OBJECTIVE: To examine the relationship between this complex constellation of multimorbidities, adherence to treatment and risk factor control among patients with type 2 diabetes, independent of regimen intensity. RESEARCH DESIGN: Observational cross-sectional study. SUBJECTS: A total of 1314 patients with diabetes from the Reducing Racial Disparities in Diabetes Coached Care (R2D2C2) Study. MEASURES: A composite cardiometabolic risk factor profile was the dependent variable. Independent variables included a composite measure of patient complexity, patient-reported adherence to treatment, history of coronary heart disease (CHD), and intensity of medication regimen. RESULTS: A higher proportion of the most complex patient-reported problems with adherence compared with the least complex patients (83.5% vs. 43.3%, P<0.001). Compared with those without a history of CHD, fewer patients with CHD-reported problems with medication adherence (59.3% vs. 69.3%, P<0.01) and had better risk factor control, independent of complexity and regimen intensity. Better risk factor control was independently associated with less patient complexity (P=0.003) and to history of CHD (P=0.01). CONCLUSIONS: The presence of a complex illness profile was associated with poorer control of risk factors. Those with CHD were more adherent to treatment and had better risk factor control. The occurrence of CHD may present an opportunity for physicians to emphasize risk factor management. Diabetes patients with a complex illness profile may be at highest risk for cardiovascular events and in greatest need of prevention of cardiac disease. TRIAL REGISTRATION: Clinicaltrial.gov identifier: NCT01123239.

Reducing racial/ethnic disparities in diabetes: the Coached Care (R2D2C2) project.

BACKGROUND: Despite numerous efforts to change healthcare delivery, the profile of disparities in diabetes care and outcomes has not changed substantially over the past decade. OBJECTIVE: To understand potential contributors to disparities in diabetes care and glycemic control. DESIGN: Cross sectional analysis. SETTING: Seven outpatient clinics affiliated with an academic medical center. PATIENTS: Adult patients with type 2 diabetes who were Mexican American, Vietnamese American or non-Hispanic white (n = 1,484). MEASUREMENTS: Glycemic control was measured as hemoglobin A1c (HbA1c) level. Patient, provider and system characteristics included demographic characteristics; access to care; quality of process of care including clinical inertia; quality of interpersonal care; illness burden; mastery (diabetes management confidence, passivity); and adherence to treatment. RESULTS: Unadjusted HbA1c values were significantly higher for Mexican American patients (n = 782) (mean = 8.3 % [SD:2.1]) compared with non-Hispanic whites (n = 389) (mean = 7.1 % [SD:1.4]). There were no significant differences in HbA1c values between Vietnamese American and non-Hispanic white patients. There were no statistically significant group differences in glycemic control after adjustment for multiple measures of access, and quality of process and interpersonal care. Disease management mastery and adherence to treatment were related to glycemic control for all patients, independent of race/ethnicity. LIMITATIONS: Generalizability to other minorities or to patients with poorer access to care may be limited. CONCLUSIONS: The complex interplay among patient, physician and system characteristics contributed to disparities in HbA1c between Mexican American and non-Hispanic white patients. In contrast, Vietnamese American patients achieved HbA1c levels comparable to non-Hispanic whites and adjustment for numerous characteristics failed to identify confounders that could have masked disparities in this subgroup. Disease management mastery appeared to be an important contributor to glycemic control for all patient subgroups.

Facilitators of and Barriers to Integrating Digital Mental Health Into County Mental Health Services: Qualitative Interview Analyses.

BACKGROUND: Digital mental health interventions (DMHIs) represent a promising solution to address the growing unmet mental health needs and increase access to care. Integrating DMHIs into clinical and community settings is challenging and complex. Frameworks that explore a wide range of factors, such as the Exploration, Preparation, Implementation, Sustainment (EPIS) framework, can be useful for examining multilevel factors related to DMHI implementation efforts. OBJECTIVE: This paper aimed to identify the barriers to, facilitators of, and best practice recommendations for implementing DMHIs across similar organizational settings, according to the EPIS domains of inner context, outer context, innovation factors, and bridging factors. METHODS: This study stems from a large state-funded project in which 6 county behavioral health departments in California explored the use of DMHIs as part of county mental health services. Our team conducted interviews with clinical staff, peer support specialists, county leaders, project leaders, and clinic leaders using a semistructured interview guide. The development of the semistructured interview guide was informed by expert input regarding relevant inner context, outer context, innovation factors, and bridging factors in the exploration, preparation, and implementation phases of the EPIS framework. We followed a recursive 6-step process to conduct qualitative analyses using inductive and deductive components guided by the EPIS framework. RESULTS: On the basis of 69 interviews, we identified 3 main themes that aligned with the EPIS framework: readiness of individuals, readiness of innovations, and readiness of organizations and systems. Individual-level readiness referred to the extent to which clients had the necessary technological tools (eg, smartphones) and knowledge (digital literacy) to support the DMHI. Innovation-level readiness pertained to the accessibility, usefulness, safety, and fit of the DMHI. Organization- and system-level readiness concerned the extent to which providers and leadership collectively held positive views about DMHIs as well as the extent to which infrastructure (eg, staffing and payment model) was appropriate. CONCLUSIONS: The successful implementation of DMHIs requires readiness at the individual, innovation, and organization and system levels. To improve individual-level readiness, we recommend equitable device distribution and digital literacy training. To improve innovation readiness, we recommend making DMHIs easier to use and introduce, clinically useful, and safe and adapting them to fit into the existing client needs and clinical workflow. To improve organization- and system-level readiness, we recommend supporting providers and local behavioral health departments with adequate technology and training and exploring potential system transformations (eg, integrated care model). Conceptualizing DMHIs as services allows the consideration of both the innovation characteristics of DMHIs (eg, efficacy, safety, and clinical usefulness) and the ecosystem around DMHIs, such as individual and organizational characteristics (inner context), purveyors and intermediaries (bridging factor), client characteristics (outer context), as well as the fit between the innovation and implementation settings (innovation factor).