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.

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.

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.

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.

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).

A Roadmap for a Consensus Human Skin Cell Atlas and Single-Cell Data Standardization.

Single-cell technologies have become essential to driving discovery in both basic and translational investigative dermatology. Despite the multitude of available datasets, a central reference atlas of normal human skin, which can serve as a reference resource for skin cell types, cell states, and their molecular signatures, is still lacking. For any such atlas to receive broad acceptance, participation by many investigators during atlas construction is an essential prerequisite. As part of the Human Cell Atlas project, we have assembled a Skin Biological Network to build a consensus Human Skin Cell Atlas and outline a roadmap toward that goal. We define the drivers of skin diversity to be considered when selecting sequencing datasets for the atlas and list practical hurdles during skin sampling that can result in data gaps and impede comprehensive representation and technical considerations for tissue processing and computational analysis, the accounting for which should minimize biases in cell type enrichments and exclusions and decrease batch effects. By outlining our goals for Atlas 1.0, we discuss how it will uncover new aspects of skin biology.

Self-reported neighborhood safety and nonadherence to treatment regimens among patients with type 2 diabetes.

BACKGROUND: Few studies have explored the association between neighborhood characteristics and adherence to diabetes self-management behaviors, and none have examined the influence of neighborhood safety on adherence to treatment regimens among patients with diabetes. OBJECTIVE: To assess whether neighborhood safety is associated with self-reports of technical quality of care and with nonadherence to diabetes treatment regimens. DESIGN: A cross-sectional analysis of a population-based sample of California adults responding to the 2007 California Health Interview Survey. Multivariable logistic regression models were used to examine the association of self-reported neighborhood safety with technical quality of care and treatment nonadherence, adjusted for sociodemographic characteristics, barriers to access to care, and health status. PARTICIPANTS: Adults with type 2 diabetes currently receiving medical treatment. MAIN MEASURES: Patient-reported neighborhood safety, performance of recommended processes of care by provider, treatment nonadherence (patient delays in filling prescriptions and obtaining needed medical care). KEY RESULTS: Self-reported neighborhood safety was not associated with process measures of technical quality of care, but was associated with treatment nonadherence. Specifically, compared to those who report living in a safe neighborhood, a higher proportion of patients living in unsafe neighborhoods reported delays in filling a prescription for any reason (21.9% vs. 12.8%, aOR = 1.69, 95%CI 1.19, 2.40) and delays in filling a prescription due to cost (12.2% vs. 6.8%, aOR = 1.63, 95%CI 1.02, 2.62). CONCLUSIONS: Contextual factors, such as neighborhood safety, may contribute to treatment nonadherence in daily life, even when the technical quality of care delivered in the clinic is not diminished.

The effects of financial pressures on adherence and glucose control among racial/ethnically diverse patients with diabetes.

BACKGROUND: The Affordable Care Act is designed to decrease the numbers of uninsured patients in U.S. However, even with insurance, patients who have financial hardships may have difficulty obtaining their medications because of cost issues. OBJECTIVE: Among patients with type 2 diabetes, to examine the association between patients' self-reported financial pressures on cost-related medication non-adherence and glucose control. Additionally, to examine whether having insurance decrease the financial pressures of diabetes care. DESIGN AND PARTICIPANTS: Racially/ethnically diverse patients (N = 1,361; 249 non-Hispanic whites, 194 Vietnamese, and 533 Mexican American) with type 2 diabetes were recruited from seven outpatient clinics for a cross-sectional, observational study. KEY RESULTS: Although both Vietnamese and Mexican-American patients reported having low annual incomes, more Mexican Americans reported the presence of financial barriers to getting medical care and perceived financial burden due to their diabetes, compared to whites and Vietnamese (p < 0.001). Over half (53.2%) of Mexican Americans reported cost-related non-adherence compared to 27.2% of white and 27.6% of Vietnamese patients (p < 0.001). Perceived financial burden was found to be associated with poor glucose control (HbA1c ≥8%), after adjusting for sociodemographic and health characteristics (aOR = 1.70, 95%CI 1.09-2.63), but not when adjusting for non-adherence. Similarly, a significant association between presence of financial barriers and HbA1c (aOR = 1.69, 95%CI 1.23-2.32) was attenuated with the inclusion of insurance status in the model. Being uninsured (aOR = 1.90, 95%CI 1.13-3.21) and non-adherent (aOR = 1.49, 95%CI 1.06-2.08) were each independently associated with HbA1c. CONCLUSIONS: While having health insurance coverage eliminated some of the financial barriers associated with having diabetes, low-income patients still faced significant financial burdens. Thus, providing health insurance to more individuals is only the first step towards eliminating health disparities. It is important to address medication cost in order to improve medication adherence and glucose control.

Home Health Care Quality, Its Costs and Implications for Home Health Value-Based Purchasing.

The Home Health Value-based Purchasing (HHVBP) demonstration, incorporating a payment formula designed to incentivize both high-quality care and quality improvement, is expected to become a national program after 2022, when the demonstration ends. This study investigated the relationship between costs and several quality dimensions, to inform HHVBP policy. Using Medicare cost reports, OASIS and Home Health Compare data for 7,673 home health agencies nationally, we estimated cost functions with instrumental variables for quality. The estimated net marginal costs varied by composite quality measure, baseline quality, and agency size. For four of the five composite quality measures, the net marginal cost was negative for low-quality agencies, suggesting that quality improvement was cost saving for this agency type. As the magnitude of the net marginal cost is commensurate with the payment incentive planned for HHVBP, it should be considered when designing the incentives for HHVBP, to maximize their effectiveness.