Social networks of people with serious mental illness who smoke: potential role in a smoking cessation intervention.

BACKGROUND: Smoking is a major contributor to morbidity and mortality among individuals with serious mental illness (SMI) and social networks may play an important role in smoking behaviors. AIMS: Our objectives were to (1) describe the network characteristics of adults with SMI who smoke tobacco (2) explore whether network attributes were associated with nicotine dependence. METHODS: We performed a secondary analysis of baseline data from a tobacco smoking cessation intervention trial among 192 participants with SMI. A subgroup (n = 75) completed questions on the characteristics of their social network members. The network characteristics included network composition (e.g. proportion who smoke) and network structure (e.g. density of connections between members). We used multilevel models to examine associations with nicotine dependence. RESULTS: Participant characteristics included: a mean age 50 years, 49% women, 48% Black, and 41% primary diagnosis of schizophrenia/schizoaffective disorder. The median personal network proportion of active smokers was 22%, active quitters 0%, and non-smokers 53%. The density of ties between actively smoking network members was greater than between non-smoking members (55% vs 43%, p = .02). Proportion of network smokers was not associated with nicotine dependence. CONCLUSIONS: We identified potential social network challenges and assets to smoking cessation and implications for network interventions among individuals with SMI.

Weighing cessation: Rising adiposity of current smokers in NHANES.

BACKGROUND: Rising rates of obesity may have interacting effects with smoking given associated cardiovascular risks and cessation-associated weight gain. This study aimed to assess the change in body mass index (BMI) magnitude and prevalence of obesity and central adiposity over time among current smokers and to compare with that of former and never smokers to describe how the obesity and tobacco epidemics interrelate. METHODS: Using data from the National Health and Nutrition Examination Survey (NHANES) 1976-2018, survey-weighted, internally standardized analyses were used to look at outcomes of BMI, BMI category, and central adiposity by smoking status. A nonparametric test assessed trend over time. RESULTS: The standardized proportion of current smokers with obesity increased from 11.6% in NHANES II to 36.3% in continuous NHANES 2017-2018; at the latest assessment this proportion was significantly lower than for former smokers. Mean BMI among current smokers also increased, from 24.7 kg/m2 to 28.5 kg/m2 among current smokers, which is significantly lower than among former smokers and never smokers at the latest time point. The standardized proportion of current smokers with central adiposity also increased, from 34.3% to 54.1%; again, at the latest time point the proportion was lower than for former smokers or never smokers. CONCLUSION: Between 1976 and 2018, smoking rates decreased while adiposity increased among current, former, and never smokers. Over a third of current smokers meet BMI criteria for obesity and over half have an elevated waist circumference. It is imperative that weight management strategies be incorporated into smoking cessation approaches.

Establishing a Care Continuum for Cardiometabolic Conditions for Patients with Serious Mental Illness.

PURPOSE OF REVIEW: Addressing cardiometabolic risk factors in persons with serious mental illness requires early screening and proactive medical management in both medical and mental health settings. RECENT FINDINGS: Cardiovascular disease remains the leading cause of death for persons with serious mental illness (SMI), such as schizophrenia or bipolar disorder, much of which is driven by a high prevalence of metabolic syndrome, diabetes, and tobacco use. We summarize barriers and recent approaches to screening and treatment for metabolic cardiovascular risk factors within physical health and specialty mental health settings. Incorporating system-based and provider-level support within physical health and psychiatric clinical settings should contribute to improvement for screening, diagnosis, and treatment for cardiometabolic conditions for patients with SMI. Targeted education for clinicians and leveraging multi-disciplinary teams are important first steps to recognize and treat populations with SMI at risk of CVD.

Scaling Interventions to Manage Chronic Disease: Innovative Methods at the Intersection of Health Policy Research and Implementation Science.

Policy implementation is a key component of scaling effective chronic disease prevention and management interventions. Policy can support scale-up by mandating or incentivizing intervention adoption, but enacting a policy is only the first step. Fully implementing a policy designed to facilitate implementation of health interventions often requires a range of accompanying implementation structures, like health IT systems, and implementation strategies, like training. Decision makers need to know what policies can support intervention adoption and how to implement those policies, but to date research on policy implementation is limited and innovative methodological approaches are needed. In December 2021, the Johns Hopkins ALACRITY Center for Health and Longevity in Mental Illness and the Johns Hopkins Center for Mental Health and Addiction Policy convened a forum of research experts to discuss approaches for studying policy implementation. In this report, we summarize the ideas that came out of the forum. First, we describe a motivating example focused on an Affordable Care Act Medicaid health home waiver policy used by some US states to support scale-up of an evidence-based integrated care model shown in clinical trials to improve cardiovascular care for people with serious mental illness. Second, we define key policy implementation components including structures, strategies, and outcomes. Third, we provide an overview of descriptive, predictive and associational, and causal approaches that can be used to study policy implementation. We conclude with discussion of priorities for methodological innovations in policy implementation research, with three key areas identified by forum experts: effect modification methods for making causal inferences about how policies' effects on outcomes vary based on implementation structures/strategies; causal mediation approaches for studying policy implementation mechanisms; and characterizing uncertainty in systems science models. We conclude with discussion of overarching methods considerations for studying policy implementation, including measurement of policy implementation, strategies for studying the role of context in policy implementation, and the importance of considering when establishing causality is the goal of policy implementation research.

Cancer Screening Among Adults With and Without Serious Mental Illness: A Mixed Methods Study.

BACKGROUND: Persons with serious mental illness (SMI) die 10-20 years earlier than the general population; cancer is the second leading cause of death. Differences in cancer screening between SMI and the general population are not well understood. OBJECTIVES: To describe receipt of cancer screening among individuals with versus without SMI and to explore clinicians' perceptions around cancer screening for people with SMI. METHODS: Mixed-methods study using 2010-2017 MarketScan commercial insurance administrative claims data and semi-structured clinician interviews. In the quantitative analyses, we used multivariate logistic regression analyses to calculate the likelihood of receiving cervical, breast, colorectal, or prostate cancer screening among people with versus without SMI, defined as schizophrenia or bipolar disorder. We conducted semi-structured interviews with 17 primary care physicians and 15 psychiatrists. Interview transcripts were coded using a hybrid deductive/inductive approach. RESULTS: Relative to those without SMI, individuals with SMI were less likely to receive screening for cervical cancer [adjusted odds ratio (aOR): 0.80; 95% confidence interval (CI): 0.80-0.81], breast cancer (aOR: 0.79; 95% CI: 0.78-0.80), colorectal cancer (aOR: 0.90; 95% CI: 0.89-0.91), and prostate cancer (aOR: 0.85; 95% CI: 0.84-0.87). Clinicians identified 5 themes that may help explain the lower rates of cancer screening in persons with SMI: access to care, available support, prioritization of other issues, communication, and patient concerns. CONCLUSIONS: People with SMI were less likely to receive 4 common types of cancer screening. Improving cancer screening rates in the SMI population will likely require a multidisciplinary approach to overcome barriers to screening.

A Model for Advancing Scale-Up of Complex Interventions for Vulnerable Populations: the ALACRITY Center for Health and Longevity in Mental Illness.

Many of the most pressing health issues in the USA and worldwide require complex, multi-faceted solutions. Delivery of such solutions is often complicated by the need to reach and engage vulnerable populations facing multiple barriers to care. While the fields of quality improvement and implementation science have made valuable gains in the development and spread of individual strategies to improve evidence-based practice delivery, models for coordinated deployment of numerous strategies to simultaneously implement multiple evidence-based interventions in vulnerable populations are lacking. In this Perspective, we describe a model for this type of comprehensive research-practice translation effort: the Johns Hopkins ALACRITY Center for Health and Longevity in Mental Illness, which is focused on reducing premature mortality in the population with serious mental illness. We describe the Center's conceptual framework, which is built upon an integrated set of quality improvement and implementation science frameworks, provide an overview of the Center's organizational structure and core research-practice translation activities, and discuss our vision for how the Center may evolve over time. Lessons learned from this Center's efforts could inform models to address other critical health issues in vulnerable populations that require multi-component solutions at the policy, system, provider, and patient levels.

Predictors of cancer screening among Black and White Maryland Medicaid enrollees with serious mental illness.

BACKGROUND: Cancer is the second leading cause of death for people with serious mental illness (SMI), such as schizophrenia and bipolar disorder. People with SMI receive cancer screenings at lower rates than the general population. AIMS: We sought to identify factors associated with cancer screening in a publicly insured population with SMI and stratified by race, a factor itself linked with differential rates of cancer screening. MATERIALS AND METHODS: We used Maryland Medicaid administrative claims data (2010-2018) to examine screening rates for cervical cancer (N = 40,622), breast cancer (N = 9818), colorectal cancer (N = 19,306), and prostate cancer (N = 4887) among eligible Black and white enrollees with SMI. We examined individual-level socio-demographic and clinical factors, including co-occurring substance use disorder, medical comorbidities, psychiatric diagnosis, obstetric-gynecologic and primary care utilization, as well as county-level characteristics, including metropolitan status, mean household income, and primary care workforce capacity. Generalized estimating equations with a logit link were used to examine the characteristics associated with cancer screening. RESULTS: Compared with white enrollees, Black enrollees were more likely to receive screening for cervical cancer (AOR: 1.18; 95% CI: 1.15-1.22), breast cancer (AOR: 1.27; 95% CI: 1.19-1.36), and colorectal cancer (AOR: 1.07; 95% CI: 1.02-1.13), while similar rates were observed for prostate cancer screening (AOR: 1.06; 95% CI: 0.96-1.18). Primary care utilization and longer Medicaid enrollment were positively associated with cancer screening while co-occurring substance use disorder was negatively associated with cancer screening. CONCLUSION: Improving cancer screening rates among populations with SMI should focus on facilitating continuous insurance coverage and access to primary care.

Effects of Maryland's Affordable Care Act Medicaid Health Home Waiver on Quality of Cardiovascular Care Among People with Serious Mental Illness.

BACKGROUND: Nineteen US states and D.C. have used the Affordable Care Act Medicaid health home waiver to create behavioral health home (BHH) programs for Medicaid beneficiaries with serious mental illness (SMI). BHH programs integrate physical healthcare management and coordination into specialty mental health programs. No studies have evaluated the effects of a BHH program created through the Affordable Care Act waiver on cardiovascular care quality among people with SMI. OBJECTIVE: To study the effects of Maryland's Medicaid health home waiver BHH program, implemented October 1, 2013, on quality of cardiovascular care among individuals with SMI. DESIGN: Retrospective cohort analysis using Maryland Medicaid administrative claims data from July 1, 2010, to September 30, 2016. We used marginal structural modeling with inverse probability of treatment weighting to account for censoring and potential time-dependent confounding. PARTICIPANTS: Maryland Medicaid beneficiaries with diabetes or cardiovascular disease (CVD) participating in psychiatric rehabilitation programs, the setting in which BHHs were implemented. To qualify for psychiatric rehabilitation programs, individuals must have SMI. The analytic sample included BHH and non-BHH participants, N = 2605 with diabetes and N = 1899 with CVD. MAIN MEASURES: Healthcare Effectiveness Data and Information Set (HEDIS) measures of cardiovascular care quality including annual receipt of diabetic eye and foot exams; HbA1c, diabetic nephropathy, and cholesterol testing; and statin therapy receipt and adherence among individuals with diabetes, as well as HEDIS measures of annual receipt of cholesterol testing and statin therapy and adherence among individuals with CVD. KEY RESULTS: Relative to non-enrollment, enrollment in Maryland's BHH program was associated with increased likelihood of eye exam receipt among individuals with SMI and co-morbid diabetes, but no changes in other care quality measures. CONCLUSIONS: Additional financing, infrastructure, and implementation supports may be needed to realize the full potential of Maryland's BHH to improve cardiovascular care for people with SMI.

The Policy Ecology of Behavioral Health Homes: Case Study of Maryland's Medicaid Health Home Program.

Behavioral health homes, shown to improve receipt of evidence-based medical services among people with serious mental illness in randomized clinical trials, have had limited results in real-world settings; nonetheless, these programs are spreading rapidly. To date, no studies have considered what set of policies is needed to support effective implementation of these programs. As a first step toward identifying an optimal set of policies to support behavioral health home implementation, we use the policy ecology framework to map the policies surrounding Maryland's Medicaid behavioral health home program. Results suggest that existing policies fail to address important implementation barriers.

Care Coordination and Population Health Management Strategies and Challenges in a Behavioral Health Home Model.

OBJECTIVES: Behavioral health home (BHH) models have been developed to integrate physical and mental health care and address medical comorbidities for individuals with serious mental illnesses. Previous studies identified population health management capacity and coordination with primary care providers as key barriers to BHH implementation. This study examines the BHH leaders' perceptions of and organizational capacity to conduct these functions within the community mental health programs implementing BHHs in Maryland. METHODS: Interviews and surveys were conducted with 72 implementation leaders and 627 front-line staff from 46 of 48 Maryland BHH programs. In-depth coding of the population health management and primary care coordination themes identified subthemes related to these topics. RESULTS: BHH staff described cultures supportive of evidence-based practices, but limited ability to effectively perform population health management or primary care coordination. Tension between population health management and direct, clinical care, lack of experience, and state regulations for service delivery were identified as key challenges for population health management. Engaging primary care providers was the primary barrier to care coordination. Health information technology and staffing were barriers to both functions. CONCLUSIONS: BHHs face a number of barriers to effective implementation of core program elements. To improve programs' ability to conduct effective population health management and care coordination and meaningfully impact health outcomes for individuals with serious mental illness, multiple strategies are needed, including formalized protocols, training for staff, changes to financing mechanisms, and health information technology improvements.

Comorbid Psychiatric Disease Is Associated With Lower Rates of Thrombolysis in Ischemic Stroke.

BACKGROUND AND PURPOSE: Intravenous thrombolysis (IVT) improves outcomes after acute ischemic stroke but is underused in certain patient populations. Mental illness is pervasive in the United States, and patients with comorbid psychiatric disease experience inequities in treatment for a range of conditions. We aimed to determine whether comorbid psychiatric disease is associated with differences in IVT use in acute ischemic stroke. METHODS: Acute ischemic stroke admissions between 2007 and 2011 were identified in the Nationwide Inpatient Sample. Psychiatric disease was defined by International Classification of Diseases, Ninth Revision, Clinical Modification codes for secondary diagnoses of schizophrenia or other psychoses, bipolar disorder, depression, or anxiety. Using logistic regression, we tested the association between IVT and psychiatric disease, controlling for demographic, clinical, and hospital factors. RESULTS: Of the 325 009 ischemic stroke cases meeting inclusion criteria, 12.8% had any of the specified psychiatric comorbidities. IVT was used in 3.6% of those with, and 4.4% of those without, psychiatric disease (P<0.001). Presence of any psychiatric disease was associated with lower odds of receiving IVT (adjusted odds ratio, 0.80; 95% confidence interval, 0.76-0.85). When psychiatric diagnoses were analyzed separately individuals with schizophrenia or other psychoses, anxiety, or depression each had significantly lower odds of IVT compared to individuals without psychiatric disease. CONCLUSIONS: Acute ischemic stroke patients with comorbid psychiatric disease have significantly lower odds of IVT. Understanding barriers to IVT use in such patients may help in developing interventions to increase access to evidence-based stroke care.

Physical health outcomes and implementation of behavioural health homes: a comprehensive review.

People with serious mental illness (SMI) have mortality rates 2-3-times higher than the general population, mostly driven by physical health conditions. Behavioural health homes (BHHs) integrate primary care into specialty mental healthcare settings with the goal of improving management of physical health conditions among people with SMI. Implementation and evaluation of BHH models is increasing in the US. This comprehensive review summarized the available evidence on the effects of BHHs on physical healthcare delivery and outcomes and identified perceived barriers and facilitators that have arisen during implementation to-date. This review found 11 studies reporting outcomes data on utilization, screening/monitoring, health promotion, patient-reported outcomes, physical health and/or costs of BHHs. The results of the review suggest that BHHs have resulted in improved primary care access and screening and monitoring for cardiovascular-related conditions among consumers with SMI. No significant effect of BHHs was reported for outcomes on diabetes control, weight management, or smoking cessation. Overall, the physical health outcomes data is limited and mixed, and implementation of BHHs is variable.

Measuring Variation Across Dimensions of Integrated Care: The Maryland Medicaid Health Home Model.

Despite the proliferation of initiatives to integrate services for people with serious mental illness (SMI), measures of distinct dimensions of integration, such as spatial arrangement and care team expertise, are lacking. Such measures are needed to support organizations' assessment of progress toward integrated service delivery. We developed measures characterizing integration of behavioral, somatic, and social services to operationalize the integrated care dimensions conceived by the Agency for Healthcare Research and Quality. In a survey fielded to 46 Maryland Medicaid health homes (response rate: 96%) serving adults with SMI during 2015-2016, we found that these measures provided a useful description of variation across dimensions of integration.

Patient, Provider, and System Factors Contributing to Patient Safety Events During Medical and Surgical Hospitalizations for Persons With Serious Mental Illness.

This study aimed to explore patient-, provider-, and system-level factors that may contribute to elevated risk of patient safety events among persons with serious mental illness (SMI). We conducted a medical record review of medical/surgical admissions in Maryland hospitals from 1994 to 2004 for a community-based sample of adults with SMI (N = 790 hospitalizations). We estimated the prevalence of multiple patient, provider, and system factors that could influence patient safety among persons with SMI. We conducted a case crossover analysis to examine the relationship between these factors and adverse patient safety events. Patients' mental status, level of consciousness, disease severity, and providers' lack of patient monitoring, delay/failure to seek consultation, lack of trainee supervision, and delays in care were positively associated with adverse patient safety events (p < 0.05). Efforts to reduce SMI-related patient safety risks will need to be multifaceted and address both patient- and provider-level factors.

A behavioral weight-loss intervention in persons with serious mental illness.

BACKGROUND: Overweight and obesity are epidemic among persons with serious mental illness, yet weight-loss trials systematically exclude this vulnerable population. Lifestyle interventions require adaptation in this group because psychiatric symptoms and cognitive impairment are highly prevalent. Our objective was to determine the effectiveness of an 18-month tailored behavioral weight-loss intervention in adults with serious mental illness. METHODS: We recruited overweight or obese adults from 10 community psychiatric rehabilitation outpatient programs and randomly assigned them to an intervention or a control group. Participants in the intervention group received tailored group and individual weight-management sessions and group exercise sessions. Weight change was assessed at 6, 12, and 18 months. RESULTS: Of 291 participants who underwent randomization, 58.1% had schizophrenia or a schizoaffective disorder, 22.0% had bipolar disorder, and 12.0% had major depression. At baseline, the mean body-mass index (the weight in kilograms divided by the square of the height in meters) was 36.3, and the mean weight was 102.7 kg (225.9 lb). Data on weight at 18 months were obtained from 279 participants. Weight loss in the intervention group increased progressively over the 18-month study period and differed significantly from the control group at each follow-up visit. At 18 months, the mean between-group difference in weight (change in intervention group minus change in control group) was -3.2 kg (-7.0 lb, P=0.002); 37.8% of the participants in the intervention group lost 5% or more of their initial weight, as compared with 22.7% of those in the control group (P=0.009). There were no significant between-group differences in adverse events. CONCLUSIONS: A behavioral weight-loss intervention significantly reduced weight over a period of 18 months in overweight and obese adults with serious mental illness. Given the epidemic of obesity and weight-related disease among persons with serious mental illness, our findings support implementation of targeted behavioral weight-loss interventions in this high-risk population. (Funded by the National Institute of Mental Health; ACHIEVE ClinicalTrials.gov number, NCT00902694.).

The Experience of Peer Mentors in an Intervention to Promote Smoking Cessation in Persons with Psychiatric Illness.

Peer support is an important component of services for persons with psychiatric illness but the experience of peer mentors is not well understood. This study explored the experiences of peer mentors, all former smokers and persons with psychiatric illness, who provided smoking cessation counseling as part of a 6 month professionally-led intervention. Data was obtained from 383 contact log entries and in-depth interviews with eight peer mentors. Qualitative analysis indicated that mentor roles were unexpectedly varied beyond the focus on smoking cessation. Of the two aspects of "peer-ness," shared smoking history was more prominent, while the shared experience of psychiatric illness was sometimes overlooked. Peer mentors experienced multiple challenges trying to help participants to change their smoking behaviors. Nonetheless, they described their experience as personally rewarding. Future interventions may be improved by anticipating peer mentor role complexity and the inherent tension between providing person-centered support and promoting behavior change.

Screening for cardiovascular risk factors in adults with serious mental illness: a review of the evidence.

BACKGROUND: Adults with serious mental illness have a mortality rate two to three times higher than the overall US population, much of which is due to somatic conditions, especially cardiovascular disease. Given the disproportionately high prevalence of cardiovascular risk factors in the population with SMI, screening for these conditions is an important first step for timely diagnosis and appropriate treatment. This comprehensive literature review summarizes screening rates for cardiovascular risk factors in the population with serious mental illness. METHODS: Relevant articles published between 2000 and 2013 were identified using the EMBASE, PsychInfo, PubMed, SCOPUS and Web of Science databases. We reviewed 10 studies measuring screening rates for obesity, diabetes, dyslipidemia, and hypertension in the population with serious mental illness. Two reviewers independently extracted information on screening rates, study population, and study setting. RESULTS: Rates of screening varied considerably by time period, study population, and data source for all medical conditions. For example, rates of lipid testing for antipsychotic users ranged from 6% to 85%. For some conditions, rates of screening were consistently high. For example, screening rates for hypertension ranged from 79% - 88%. CONCLUSIONS: There is considerable variation in screening of cardiovascular risk factors in the population with serious mental illness, with significant need for improvement in some study populations and settings. Implementation of standard screening protocols triggered by diagnosis of serious mental illness or antipsychotic use may be promising avenues for ensuring timely diagnosis and treatment of cardiovascular risk factors in this population.