Community Mental Health Care Delivery During the COVID-19 Pandemic: Practical Strategies for Improving Care for People with Serious Mental Illness.

The COVID-19 pandemic has presented a formidable challenge to care continuity for community mental health clients with serious mental illness and for providers who have had to quickly pivot the modes of delivering critical services. Despite these challenges, many of the changes implemented during the pandemic can and should be maintained. These include offering a spectrum of options for remote and in-person care, greater integration of behavioral and physical healthcare, prevention of viral exposure, increased collaborative decision-making related to long-acting injectable and clozapine use, modifying safety plans and psychiatric advance directives to include new technologies and broader support systems, leveraging natural supports, and integration of digital health interventions. This paper represents the authors' collaborative attempt to both reflect the changes to clinical practice we have observed in CMHCs across the US during this pandemic and to suggest how these changes can align with best practices identified in the empirical literature.

Updates in Consultation-Liaison Psychiatry: 2019.

BACKGROUND: The scientific literature in consultation-liaison psychiatry continually expands, and remaining familiar with the most current literature is challenging for practicing clinicians. The Guidelines and Evidence-Based Medicine Subcommittee of the Academy of Consultation-Liaison Psychiatry writes quarterly annotations of articles of interest to help Academy members gain familiarity with the most current evidence-based practices. These annotations are available on the Academy Website. OBJECTIVE: We identify the 10 most important manuscripts for clinical practice in consultation-liaison psychiatry from 2019. METHODS: Sixty-four abstracts were authored in 2019. Manuscripts were rated on clinical relevance to practice and quality of scholarship. The 10 articles with the highest aggregate scores from 19 raters are described. RESULTS: The resulting articles provide practical guidance for consultation psychiatrists on several topic areas including the treatment of substance use disorders. CONCLUSION: We suggest that these clinical findings should be familiar to all consultation-liaison psychiatrists regardless of practice area. Regular article reviews and summaries help busy clinicians deliver cutting-edge care and maintain a high standard of care across the specialty.

High rates of obstructive sleep apnea symptoms among patients with schizophrenia.

BACKGROUND: Patients with schizophrenia have high rates of obesity and cardiovascular morbidity, which are strongly associated with obstructive sleep apnea (OSA). The prevalence and risk factors for OSA are not well studied in patients with schizophrenia. OBJECTIVE: The purpose of this study was to evaluate the frequency of OSA symptoms in a sample of outpatients with schizophrenia. METHODS: This cross-sectional study was a secondary analysis of data generated from an insomnia study that evaluated 175 outpatients with schizophrenia or schizoaffective disorder in a single, large urban community mental health center. Results of scales evaluating insomnia were used to complete the STOP questionnaire, which is a screening tool for OSA validated in surgical populations. Appropriate statistical analysis was done to compare participants across groups. RESULTS: Patients were classified into high risk for OSA (STOP ≥ 2) (57.7%), and low risk for OSA (STOP score < 2) (42.3%). We also identified patients with a known diagnosis of OSA (14.9%). Patients with diagnosed OSA had significantly higher STOP scores (mean 2.7 vs. 1.6 [t = 6.3; p < 0.001]). Only 23.8% of patients in the high-risk group were diagnosed with OSA. Body mass index was significantly higher in the diagnosed group (F[2,169] = 25; p < 0.001) as was diabetes (χ2 [2, N = 175] = 35, p < 0.001). CONCLUSION: A large number of outpatients with severe mental illness are at high risk for OSA. The STOP questionnaire is easy to use and appears to have a very high clinical utility to detect OSA. Based on our findings, further studies are warranted to validate the tool in patients with severe mental illness.

Updates in Psychosomatic Medicine: 2014.

BACKGROUND: The amount of literature published annually related to psychosomatic medicine is vast; this poses a challenge for practitioners to keep up-to-date in all but a small area of expertise. OBJECTIVES: To introduce how a group process using volunteer experts can be harnessed to provide clinicians with a manageable selection of important publications in psychosomatic medicine, organized by specialty area, for 2014. METHODS: We used quarterly annotated abstracts selected by experts from the Academy of Psychosomatic Medicine and the European Association of Psychosomatic Medicine in 15 subspecialties to create a list of important articles. RESULTS: In 2014, subspecialty experts selected 88 articles of interest for practitioners of psychosomatic medicine. For this review, 14 articles were chosen. CONCLUSIONS: A group process can be used to whittle down the vast literature in psychosomatic medicine and compile a list of important articles for individual practitioners. Such an approach is consistent with the idea of physicians as lifelong learners and educators.

The effect of serious mental illness on the risk of rehospitalization among patients with diabetes.

BACKGROUND: Medical-surgical rehospitalizations within a month after discharge among patients with diabetes result in tremendous costs to the US health care system. OBJECTIVE: The study's aim was to examine whether co-morbid serious mental illness diagnoses (bipolar disorder, schizophrenia, or other psychotic disorders) among patients with diabetes are independently associated with medical-surgical rehospitalization within a month of discharge after an initial hospitalization. METHODS: This cohort study of all community hospitals in Washington state evaluated data from 82,060 adults discharged in the state of Washington with any International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis indicating diabetes mellitus between 2010 and 2011. Data on medical-surgical hospitalizations were obtained from the Washington State Comprehensive Hospital Abstract Reporting System. Co-morbid serious mental illness diagnoses were identified based on International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes indicating bipolar disorder, schizophrenia, or other psychotic disorders. Logistic regression analyses identified factors independently associated with rehospitalization within a month of discharge. Cox proportional hazard analyses estimated time to rehospitalization for the entire study period. RESULTS: After adjusting for demographics, medical co-morbidity, and characteristics of the index hospitalization, co-morbid serious mental illness diagnosis was independently associated with increased odds of rehospitalization within 1 month among patients with diabetes who had a medical-surgical hospitalization (odds ratio: 1.24, 95% confidence interval: 1.07, 1.44). This increased risk of rehospitalization persisted throughout the study period (up to 24 mo). CONCLUSIONS: Co-morbid serious mental illness in patients with diabetes is independently associated with greater risk of early medical-surgical rehospitalization. Future research is needed to define and specify targets for interventions at points of care transition for this vulnerable patient population.

Reliability and practicality of measuring waist circumference to monitor cardiovascular risk among community mental health center patients.

The aim of this study was to evaluate the clinical utility of measuring waist circumference (WC) in obese individuals with severe psychiatric disabilities. Reliability of the measure and researchers' comfort were assessed. Thirty outpatients with a diagnosis of schizophrenia or schizoaffective disorder were recruited from an urban community mental health center and WC was measured using two methods by three different raters. Inter- and intra-rater reliability was calculated. Raters reported on their comfort with obtaining WC. There was good inter-rater reliability and an acceptable rate of error independent of measurement location. Overall, raters were not comfortable with the WC measurement process for multiple reasons and reported difficulty with the measurement process. Our findings suggest that non-medical staff can reliably and validly measure WC within a typical outpatient mental health treatment setting, but discomfort with the procedure and difficulty with the measurement process may interfere with this practice as part of usual care.

The presentation, recognition and management of bipolar depression in primary care.

Bipolar disorder is a mood disorder characterized by episodes of major depression and mania or hypomania. Most patients experience chronic symptoms of bipolar disorder approximately half of the time, most commonly subsyndromal depressive symptoms or a full depressive episode with concurrent manic symptoms. Consequently, patients with bipolar depression are often misdiagnosed with major depressive disorder. Individual patient characteristics and population screening tools may be helpful in improving recognition of bipolar depression in primary care. Health risk behaviors including tobacco use, sedentary activity level and weight gain are highly prevalent in patients with bipolar disorder, as are the comorbid chronic diseases such as diabetes mellitus and cardiovascular disease. Patients with bipolar illness have about an eight-fold higher risk of suicide and a two-fold increased risk of death from chronic medical illnesses. Recognition of bipolar depression and its associated health risk behaviors and chronic medical problems can lead to the use of appropriate interventions for patients with bipolar disorder, which differ in important ways from the treatments used for major depressive disorder. The above topics are reviewed in detail in this article.

The prevalence of bipolar disorder in primary care patients with depression or other psychiatric complaints: a systematic review.

BACKGROUND: Bipolar disorder prevalence in primary care patients with depression or other psychiatric complaints has been measured in several studies but has not been systematically reviewed. OBJECTIVE: To systematically review studies measuring bipolar disorder prevalence in primary care patients with depression or other psychiatric complaints. METHODS: We conducted a systematic review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses method in January 2013. We searched 7 databases using a comprehensive list of search terms. Included articles had a sample size of 200 patients or more and assessed bipolar disorder using a structured clinical interview or bipolar screening questionnaire in adult primary care patients with a prior diagnosis of depression or had an alternate psychiatric complaint. RESULTS: Our search yielded 5595 unique records. Seven cross-sectional studies met our inclusion criteria. The percentage of primary care patients with bipolar disorder was measured in 4 studies of patients with depression, 1 study of patients with trauma exposure, 1 study of patients with any psychiatric complaint, and 1 study of patients with medically unexplained symptoms. The percentage of patients with bipolar disorder ranged from 3.4%-9% in studies using structured clinical interviews and from 20.9%-30.8% in studies using screening measures. CONCLUSIONS: Bipolar disorder likely occurs in 3%-9% of primary care patients with depression, a trauma exposure, medically unexplained symptoms, or a psychiatric complaint. Screening measures used for bipolar disorder detection overestimate the occurrence of bipolar disorder in primary care owing to false positives.

Development and Pilot Testing of a Nurse Care Manager Role in Coordinated Specialty Care for Early Psychosis.

Coordinated specialty care (CSC) improves mental health and functional outcomes among individuals with first-episode psychosis but lacks a standardized approach to addressing chronic disease risk. The authors used community-based participatory intervention mapping with nine CSC teams to implement a nurse care manager role for the team in order to identify and address chronic disease risk factors. The role was piloted at one CSC site to explore its feasibility and acceptability. The nurse care manager role was highly acceptable to clients, team members, and leadership. More than one-quarter of the nurse's time was spent on nonbillable activities, and lack of a clear plan for financial sustainability was the primary barrier to implementation.

Effect of a collaborative care model on anxiety symptoms among patients with depression and diabetes in India: The INDEPENDENT randomized clinical trial.

OBJECTIVE: We assessed the impact of a collaborative care intervention on anxiety symptoms among participants in India with comorbid depression, poorly controlled diabetes, and moderate to severe anxiety symptoms. METHOD: We analyzed data from a randomized controlled trial conducted at four diabetes clinics in India. Participants received either collaborative care or usual care. We included only participants who scored ⩾10 on the Generalized Anxiety Disorder-7 (GAD-7) at baseline. We estimated the effect of the intervention on clinically significant reduction in anxiety symptoms; we considered several potential baseline moderators and mediation by anti-depressant use. RESULTS: One hundred and seventy-two participants scored 10 or above on the GAD-7 at baseline. Collaborative care participants were more likely than control participants to achieve a clinically significant reduction in anxiety symptoms at 6 and 12 months (65.7% vs. 41.4% at 12 months, p = 0.002); these differences were not sustained at 18 or 24 months. There was little evidence of moderation by participant characteristics at baseline, and effects were not mediated by anti-depressant use. CONCLUSIONS: Collaborative care for the treatment of depression and type 2 diabetes can lead to clinically significant reductions in anxiety symptoms among patients with anxiety. Effects were notable during the active intervention period but not over the year post-intervention.

Association of psychiatric illness and obesity, physical inactivity, and smoking among a national sample of veterans.

BACKGROUND: Increased cardiovascular morbidity and mortality have been reported across a number of chronic psychiatric illnesses. Interventions to decrease cardiovascular risk have focused on single health behaviors. OBJECTIVE: To evaluate the co-occurrence of multiple poor health behaviors that increase cardiovascular risk among veterans with psychiatric diagnoses. METHODS: Using data from the 1999 Large Health Survey of Veterans (n=501,161), multivariate logistic regression was used to evaluate the associations between current smoking, no regular exercise, and obesity with each of six Axis I diagnoses. RESULTS: There were statistically increased odds of co-occurrence of obesity, current tobacco use, and no regular exercise among veterans with each of the psychiatric diagnoses, with the exception of drug use disorders (which was not significantly different from 1). The highest odds were among veterans with schizophrenia, PTSD, and bipolar disorder [OR (95% CI) of 1.37 (1.29, 1.45); 1.26 (1.20, 1.32); and 1.19 (1.11, 1.25), respectively]. The OR for depression was not significant after adjustment for medical comorbidity. CONCLUSIONS: Veterans with psychiatric illnesses, and particularly those with schizophrenia, PTSD, and bipolar disorder, are much more likely to have multiple poor health behaviors that increase their cardiovascular risk. Interventions to decrease cardiovascular risk among veterans with serious mental illness need to target multiple health behaviors.

Association of psychiatric illness and all-cause mortality in the National Department of Veterans Affairs Health Care System.

OBJECTIVE: To assess the independent association of seven psychiatric illnesses with all-cause mortality in a representative national sample of veterans, after adjustment for demographic factors, psychiatric and medical comorbidity, obesity, tobacco use, and exercise frequency. METHODS: Analyses were conducted using data from the 1999 Large Health Survey of Veteran Enrollees (n = 559,985). Cox proportional hazards models were used to examine the relationship of seven psychiatric diagnoses with mortality. Date of all-cause mortality was determined from the Department of Veterans Affairs' Beneficiary Identification and Records Locator System. All-cause mortality rates were calculated as the total number of deaths in each group divided by the person-years of follow-up time in each group. RESULTS: During the 9-year study period, 27% of the subjects (n = 131,396) died. Each of the psychiatric diagnoses was associated with significantly increased HR for all-cause mortality after adjusting for age, race, and gender. Hazard ratios ranged from 1.02 (95% confidence interval, 1.01, 1.04) for posttraumatic stress disorder to 1.97 (95% confidence interval, 1.89, 2.04) for alcohol use disorders. After adjustment for psychiatric and medical comorbidity, obesity, current smoking and exercise frequency, alcohol and drug abuse and dependence, and schizophrenia were statistically significantly associated with an increased risk of mortality. CONCLUSIONS: In this study of a large representative national sample of veterans, schizophrenia and alcohol and drug use disorders were independently associated with an increased risk of all-cause mortality over a 9-year period.

Utilization of primary care by veterans with psychiatric illness in the National Department of Veterans Affairs Health Care System.

BACKGROUND: Psychiatric illness is associated with increased medical morbidity and mortality. Studies of primary care utilization by patients with psychiatric disorders have been limited by nonrepresentative samples and confounding by medical co-morbidity. OBJECTIVE: To determine whether patients with psychiatric disorders use primary care services differently than patients without these disorders, after controlling for medical co-morbidity. DESIGN: Data from the 1999 Large Health Survey of Veterans (LHS) (n = 559,985) were linked to VA administrative data in order to identify veterans who received primary care. After adjusting for sociodemographic and clinical characteristics, medical co-morbidity, and facility characteristics, multivariate logistic regression was used to evaluate whether seven psychiatric diagnoses were associated with an increased or decreased likelihood of any primary care visit over 12 months. RESULTS: Veterans with either schizophrenia, bipolar disorder or a drug use disorder were less likely to have had any primary care visit during the study period: [OR 0.61, 95% CI 0.59 to 0.63], [OR 0.63, 95% CI 0.60 to 0.67] and [OR 0.88, 95% CI 0.83 to 0.92], respectively, than veterans without these diagnoses, even after controlling for medical co-morbidity. Among patients with any primary care utilization, those with six of the seven psychiatric diagnoses had fewer visits in the study period. CONCLUSIONS: Patients with schizophrenia, bipolar disorder or drug use disorders use less primary care than patients without these disorders. Interventions are needed to increase engagement in primary care by these vulnerable groups.

Use of a Mental Health Center Collaborative Care Team to Improve Diabetes Care and Outcomes for Patients With Psychosis.

OBJECTIVE: This study aimed to evaluate the feasibility, acceptability, and preliminary effectiveness (compared with usual care) of a collaborative care model to treat community mental health center (CMHC) patients with psychosis and poorly controlled diabetes. METHODS: Stakeholder input was used to adapt a primary care-based collaborative care intervention for CMHC settings. Thirty-five adult CMHC clients with type II diabetes and hemoglobin A1c (HbA1c) >8% or blood pressure >140/90 were randomized to receive either collaborative care or usual care. Change in HbA1c was evaluated between baseline and three months. Paired t tests were used for within-group comparisons. RESULTS: After three months, intervention participants had a statistically significant mean decrease in HbA1c of 1.1% (p=.049). There was no significant change in HbA1c in the usual-care group. CONCLUSIONS: This pilot demonstrates the feasibility and acceptability of implementing collaborative care in CMHC settings and its preliminary effectiveness in improving glycemic control in a high-risk population.

Best practices: surveillance and management of diabetes in a CMHC population.

To improve detection and management of diabetes at a community mental health center, a cross-sectional study of the prevalence and management of type 2 diabetes mellitus was conducted among patients receiving maintenance antipsychotic medication (N=494). Diabetes was more than two-and-a-half times as prevalent among participants (17.4%) as in the general population. Fourteen percent of patients classified as diabetic had previously undiagnosed disease, compared with national sample rates of over 30%. Impaired fasting glucose was found for 26% of the sample. Glucose dysregulation was common. The known poor cardiovascular profile of persons with serious mental illness, reflected in the high rates of tobacco use and obesity in the sample, requires contextualizing efforts to screen and monitor for diabetes within overall efforts to monitor cardiovascular health.

A collaborative care team to integrate behavioral health care and treatment of poorly-controlled type 2 diabetes in an urban safety net primary care clinic.

OBJECTIVE: Demonstrate the feasibility of implementing a collaborative care program for poorly-controlled type 2 diabetes and complex behavioral health disorders in an urban academically-affiliated safety net primary care clinic. METHODS: This retrospective cohort study evaluates multidisciplinary team care approach to diabetes in a safety net clinic, and included 634 primary care clinic patients with hemoglobin A1c (HbA1c)>9%. HbA1c, blood pressure, and depression severity were assessed at the initial visit and at the end of treatment, and compared to those of patients who were not referred to the team. RESULTS: The 151 patients referred to the program between March 2013 and November 2014 had a higher initial mean HbA1c: 10.6% vs. 9.4%, and were more likely to have depression (p=0.006), anxiety (p=0.04), and bipolar disorder (p=0.03), compared to the 483 patients who were not referred. During the 18-month study period, there was a mean decrease in HbA1c of 0.9 (10.6 to 9.4) among those referred to the team, compared to a mean decrease of 0.2 (9.4 to 9.2) among those not referred. This was a significantly greater percent change in HbA1c (p=0.008). CONCLUSION: The integration of behavioral healthcare into chronic care management of patients with diabetes is a promising strategy to improve outcomes among the high risk population in safety net settings.

Collaborative Care for Mental Health in Low- and Middle-Income Countries: A WHO Health Systems Framework Assessment of Three Programs.

The collaborative care model is an evidence-based intervention for behavioral and other chronic conditions that has the potential to address the large burden of mental illness globally. Using the World Health Organization Health Systems Framework, the authors present challenges in implementing this model in low- and middle-income countries (LMICs) and discuss strategies to address these challenges based on experiences with three large-scale programs: an implementation research study in a district-level government hospital in rural Nepal, one clinical trial in 50 primary health centers in rural India, and one study in four diabetes clinics in India. Several strategies can be utilized to address implementation challenges and enhance scalability in LMICs, including mobilizing community resources, engaging in advocacy, and strengthening the overall health care delivery system.

Interrelationships of psychiatric symptom severity, medical comorbidity, and functioning in schizophrenia.

OBJECTIVE: This cross-sectional study aimed to evaluate the interrelationships of psychiatric symptom severity, medical comorbidity, and psychosocial functioning in a sample of patients with schizophrenia by utilizing the baseline data from the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE). METHODS: This study utilized baseline data from a multisite trial of antipsychotic pharmacotherapy, which collected data from 1,460 patients with schizophrenia at more than 50 sites in the United States between 2001 and 2003. Bivariate correlations were used to evaluate associations between schizophrenia symptoms and medical comorbidity, and multivariate regression models were used to determine the independent association between medical comorbidity and psychosocial functioning. RESULTS: Of the 1,424 participants in the study sample, 58 percent had at least one medical condition: 20 percent had hypertension, 11 percent had diabetes mellitus, and 9 percent had four or more medical conditions. Medical comorbidity was associated with poorer neurocognitive functioning and greater depressive symptoms. The number of medical conditions was not associated with more severe schizophrenia symptoms. Both the number of medical conditions and physical health status were only weak correlates of psychosocial functioning. CONCLUSIONS: In this sample of persons with schizophrenia, medical comorbidity was associated with depression and neurocognitive impairment but was a weaker correlate of psychosocial functioning or employment status than psychotic symptoms, depression, and neurocognitive impairment.