Long-term Effects of a Collaborative Care Model on Metabolic Outcomes and Depressive Symptoms: 36-Month Outcomes from the INDEPENDENT Intervention.

BACKGROUND: Collaborative care (CC) is a multicomponent team-based approach to providing mental health care with systematic integration into outpatient medical settings. The 12-month INDEPENDENT CC intervention improved joint disease control measures in patients with both depression and diabetes at 12 and 24 months following randomization. OBJECTIVE: This study investigated the durability of intervention effects on patient outcomes at 36 months following randomization. PARTICIPANTS: Adult patients with poorly controlled T2D and depression in India randomized to CC or usual care. DESIGN: Post hoc analyses of between-group differences in patient outcomes at 36 months post-randomization (N = 331) and maintenance of outcomes from 12 to 36 months (N = 314). MAIN MEASURES: We evaluated combined risk factor improvement since baseline, defined as ≥ 50.0% reduction in Symptom Checklist Depression Scale (SCL-20) scores along with reduction of at least 0.5 percentage point hemoglobin A1C, 5 mmHg systolic blood pressure, or 10 mg/dL low-density lipoprotein cholesterol. Improvements in single risk factors were also examined. KEY RESULTS: There were no between-group differences in improvements since baseline in multiple or single risk factors at 36 months. Patients in the CC group with improved outcomes at 12 months were more likely to maintain a ≥ 50.0% reduction since baseline in SCL-20 scores (CC [54.9%] vs. UC [40.9%]; RR: 1.27 [95% CI: 1.04, 1.56]) and 0.5 percentage point reduction since baseline in hemoglobin A1C (CC [31.9%] vs. UC [19.5%]; RR: 1.64 [95% CI: 1.11, 2.41]) at 36 months. CONCLUSIONS: While improvements since baseline in patient outcomes did not differ between the collaborative care and usual care groups at 36 months, patients who received CC were more likely to maintain improvements in depressive symptoms and glucose levels at 36 months if they had achieved these improvements at the end of active intervention. TRIAL REGISTRATION NUMBER: NCT02022111.

Minimum and optimal numbers of psychiatric beds: expert consensus using a Delphi process.

The required minimum number of psychiatric inpatient beds is highly debated and has substantial resource implications. The present study used the Delphi method to try to reach a global consensus on the minimum and optimal psychiatric bed numbers. An international board of scientific advisors nominated the Delphi panel members. In the first round, the expert panel provided responses exploring estimate ranges for a minimum to optimal numbers of psychiatric beds and three levels of shortage. In a second round, the panel reconsidered their responses using the input from the total group to achieve consensus. The Delphi panel comprised 65 experts (42% women, 54% based in low- and middle-income countries) from 40 countries in the six regions of the World Health Organization. Sixty psychiatric beds per 100 000 population were considered optimal and 30 the minimum, whilst 25-30 was regarded as mild, 15-25 as moderate, and less than 15 as severe shortage. This is the first expert consensus on minimum and optimal bed numbers involving experts from HICs and LMICs. Many high-income countries have psychiatric bed numbers that fall within the recommended range. In contrast, the number of beds in many LMIC is below the minimum recommended rate.

Substance Use and Mental Health Comorbidities and Receipt of Specialty Care Among Patients Enrolled in a Low-Barrier HIV Clinic.

Low-barrier care is one model of a differentiated service delivery approach for people with HIV (PWH) who are not engaged in conventionally-organized HIV care. Although psychiatric and substance use disorders are common among patients in low-barrier clinics, approaches to behavioral health service delivery within this context have not been well-described. We conducted a descriptive analysis using retrospective review of medical records to evaluate substance use and psychiatric comorbidities and receipt of behavioral health services among patients in the Max Clinic in Seattle, Washington. Among 227 patients enrolled from 2015 to mid-2020, most had a history of hazardous substance use (85%), a psychiatric diagnosis (69%) or unstable housing (69%) documented in the medical record. Less than half of patients referred for depression treatment (33%) or for opioid use disorder treatment (40%) completed even one specialty care visit. More effective approaches are needed to engage patients in behavioral health services within the context of low-barrier HIV care.

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.

Telepsychiatric Consultation as a Training and Workforce Development Strategy for Rural Primary Care.

PURPOSE: There is a shortage of rural primary care personnel with expertise in team care for patients with common mental disorders. Building the workforce for this population is a national priority. We investigated the feasibility of regular systematic case reviews through telepsychiatric consultation, within collaborative care for depression, as a continuous training and workforce development strategy in rural clinics. METHODS: We developed and pilot-tested a qualitative interview guide based on a conceptual model of training and learning. We conducted individual semistructured interviews in 2018 with diverse clinical and nonclinical staff at 3 rural primary care sites in Washington state that used ongoing collaborative care and telepsychiatric consultation. Two qualitative researchers independently analyzed transcripts with iterative input from other research team members. RESULTS: A total of 17 clinical, support, and administrative staff completed interviews. Participants' feedback supported the view that telepsychiatric case review-based consultation enhanced skills of diverse clinical team members over time, even those who had not directly participated in case reviews. All interviewees identified specific ways in which the consultations improved their capacity to identify and treat psychiatric disorders. Perceived benefits in implementation and sustainability included fidelity of the care process, team resilience despite member turnover, and enhanced capacity to use quality improvement methods. CONCLUSIONS: Weekly systematic case reviews using telepsychiatric consultation served both as a model for patient care and as a training and workforce development strategy in rural primary care sites delivering collaborative care. These are important benefits to consider in implementing the collaborative care model of behavioral health integration.

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.

Treatment recommendations made by a consultant psychiatrist to improve the quality of care in a collaborative mental health intervention in rural Nepal.

BACKGROUND: The Collaborative Care Model (CoCM) for mental healthcare, where a consulting psychiatrist supports primary care and behavioral health workers, has the potential to address the large unmet burden of mental illness worldwide. A core component of this model is that the psychiatrist reviews treatment plans for a panel of patients and provides specific clinical recommendations to improve the quality of care. Very few studies have reported data on such recommendations. This study reviews and classifies the recommendations made by consulting psychiatrists in a rural primary care clinic in Nepal. METHODS: A chart review was conducted for all patients whose cases were reviewed by the treatment team from January to June 2017, after CoCM had been operational for 6 months. Free text of the recommendations were extracted and two coders analyzed the data using an inductive approach to group and categorize recommendations until the coders achieved consensus. Cumulative frequency of the recommendations are tabulated and discussed in the context of an adapted CoCM in rural Nepal. RESULTS: The clinical team discussed 1174 patient encounters (1162 unique patients) during panel reviews throughout the study period. The consultant psychiatrist made 214 recommendations for 192 (16%) patients. The most common recommendations were to revisit the primary mental health diagnosis (16%, n = 34), add or increase focus on counselling and psychosocial support (9%, n = 20), increase the antidepressant dose (9%, n = 20), and discontinue inappropriate medications (6%, n = 12). CONCLUSIONS: In this CoCM study, the majority of treatment plans did not require significant change. The recommendations highlight the challenge that non-specialists face in making an accurate mental health diagnosis, the relative neglect of non-pharmacological interventions, and the risk of inappropriate medications. These results can inform interventions to better support non-specialists in rural areas.

Effect of a Collaborative Care Model on Depressive Symptoms and Glycated Hemoglobin, Blood Pressure, and Serum Cholesterol Among Patients With Depression and Diabetes in India: The INDEPENDENT Randomized Clinical Trial.

Importance: Mental health comorbidities are increasing worldwide and worsen outcomes for people with diabetes, especially when care is fragmented. Objective: To assess whether collaborative care vs usual care lowers depressive symptoms and improves cardiometabolic indices among adults with diabetes and depression. Design, Setting, and Participants: Parallel, open-label, pragmatic randomized clinical trial conducted at 4 socioeconomically diverse clinics in India that recruited patients with type 2 diabetes; a Patient Health Questionnaire-9 score of at least 10 (range, 0-27); and hemoglobin A1c (HbA1c) of at least 8%, systolic blood pressure (SBP) of at least 140 mm Hg, or low-density lipoprotein (LDL) cholesterol of at least 130 mg/dL. The first patient was enrolled on March 9, 2015, and the last was enrolled on May 31, 2016; the final follow-up visit was July 14, 2018. Interventions: Patients randomized to the intervention group (n = 196) received 12 months of self-management support from nonphysician care coordinators, decision support electronic health records facilitating physician treatment adjustments, and specialist case reviews; they were followed up for an additional 12 months without intervention. Patients in the control group (n = 208) received usual care over 24 months. Main Outcomes and Measures: The primary outcome was the between-group difference in the percentage of patients at 24 months who had at least a 50% reduction in Symptom Checklist Depression Scale (SCL-20) scores (range, 0-4; higher scores indicate worse symptoms) and a reduction of at least 0.5 percentage points in HbA1c, 5 mm Hg in SBP, or 10 mg/dL in LDL cholesterol. Prespecified secondary outcomes were percentage of patients at 12 and 24 months who met treatment targets (HbA1c <7.0%, SBP <130 mm Hg, LDL cholesterol <100 mg/dL [<70 mg/dL if prior cardiovascular disease]) or had improvements in individual outcomes (≥50% reduction in SCL-20 score, ≥0.5-percentage point reduction in HbA1c, ≥5-mm Hg reduction in SBP, ≥10-mg/dL reduction in LDL cholesterol); percentage of patients who met all HbA1c, SBP, and LDL cholesterol targets; and mean reductions in SCL-20 score, Patient Health Questionnaire-9 score, HbA1c, SBP, and LDL cholesterol. Results: Among 404 patients randomized (mean [SD] age, 53 [8.6] years; 165 [40.8%] men), 378 (93.5%) completed the trial. A significantly greater percentage of patients in the intervention group vs the usual care group met the primary outcome (71.6% vs 57.4%; risk difference, 16.9% [95% CI, 8.5%-25.2%]). Of 16 prespecified secondary outcomes, there were no statistically significant between-group differences in improvements in 10 outcomes at 12 months and in 13 outcomes at 24 months. Serious adverse events in the intervention and usual care groups included cardiovascular events or hospitalizations (4 [2.0%] vs 7 [3.4%]), stroke (0 vs 3 [1.4%]), death (2 [1.0%] vs 7 [3.4%]), and severe hypoglycemia (8 [4.1%] vs 0). Conclusions and Relevance: Among patients with diabetes and depression in India, a 12-month collaborative care intervention, compared with usual care, resulted in statistically significant improvements in a composite measure of depressive symptoms and cardiometabolic indices at 24 months. Further research is needed to understand the generalizability of the findings to other low- and middle-income health care settings. Trial Registration: ClinicalTrials.gov Identifier: NCT02022111.

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.

Neuropsychiatric disorders and potentially preventable hospitalizations in a prospective cohort study of older Americans.

BACKGROUND: The relative contributions of depression, cognitive impairment without dementia (CIND), and dementia to the risk of potentially preventable hospitalizations in older adults are not well understood. OBJECTIVE(S): To determine if depression, CIND, and/or dementia are each independently associated with hospitalizations for ambulatory care-sensitive conditions (ACSCs) and rehospitalizations within 30 days after hospitalization for pneumonia, congestive heart failure (CHF), or myocardial infarction (MI). DESIGN: Prospective cohort study. PARTICIPANTS: Population-based sample of 7,031 Americans > 50 years old participating in the Health and Retirement Study (1998-2008). MAIN MEASURES: The eight-item Center for Epidemiologic Studies Depression Scale and/or International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM) depression diagnoses were used to identify baseline depression. The Modified Telephone Interview for Cognitive Status and/or ICD-9-CM dementia diagnoses were used to identify baseline CIND or dementia. Primary outcomes were time to hospitalization for an ACSC and presence of a hospitalization within 30 days after hospitalization for pneumonia, CHF, or MI. KEY RESULTS: All five categories of baseline neuropsychiatric disorder status were independently associated with increased risk of hospitalization for an ACSC (depression alone: Hazard Ratio [HR]: 1.33, 95% Confidence Interval [95%CI]: 1.18, 1.52; CIND alone: HR: 1.25, 95%CI: 1.10, 1.41; dementia alone: HR: 1.32, 95%CI: 1.12, 1.55; comorbid depression and CIND: HR: 1.43, 95%CI: 1.20, 1.69; comorbid depression and dementia: HR: 1.66, 95%CI: 1.38, 2.00). Depression (Odds Ratio [OR]: 1.37, 95%CI: 1.01, 1.84), comorbid depression and CIND (OR: 1.98, 95%CI: 1.40, 2.81), or comorbid depression and dementia (OR: 1.58, 95%CI: 1.06, 2.35) were independently associated with increased odds of rehospitalization within 30 days after hospitalization for pneumonia, CHF, or MI. CONCLUSIONS: Depression, CIND, and dementia are each independently associated with potentially preventable hospitalizations in older Americans. Older adults with comorbid depression and cognitive impairment represent a particularly at-risk group that could benefit from targeted interventions.

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.

Treating complexity: collaborative care for multiple chronic conditions.

Individuals with co-morbid chronic medical illness and psychiatric illness are a costly and complex patient population, at high risk for poor outcomes. Health-risk behaviours (e.g. smoking, poor diet, and sedentary lifestyle), side effects from psychiatric medications, and poor quality medical care all contribute to poor outcomes. Individuals with major depression die, on average, 5 to 10 years before their age-matched counterparts. For individuals with severe mental illness such as bipolar disorder or schizophrenia, life expectancy may be up to 20 years shorter. As the majority of this premature mortality is due to cardiovascular disease, there is a critical need to engage these individuals around the care of chronic medical illness.

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.

Supporting Implementation Through Online Learning Communities: Lessons Learned From a National Training and Technical Assistance Network.

Recent implementation science frameworks highlight the role of training and technical assistance (TTA) in building workforce capacity to implement evidence-based practices (EBPs). However, evaluation of TTA is limited. We describe three case examples that highlight TTA by three regional centers in the national Mental Health Technology Transfer Center (MHTTC) network. Each MHTTC formed Learning Communities (LCs) to facilitate connections among behavioral health professionals with the goals of sharing implementation strategies, discussing best-practices, and developing problem solving techniques. Data on outcomes were collected through a combination of self-report surveys and qualitative interviews. LC participants reported strong connectedness, gains in knowledge and skills, improvements in implementation capacity, and intentions to advocate for organizational and systems-level change. Furthermore, across the case examples, we identified LC characteristics that are associated with participant perceptions of outcomes, including tailoring LC content to workforce needs, providing culturally relevant information, engaging leaders, forming connections among participants and trainers, and challenging participants' current workplace practices. These findings are interpreted through the lens of the Interactive Systems Framework, which focuses on how TTA, such as LCs, can facilitate connections between the theoretical and empirical foundations of interventions and the practices of implementing interventions in real-world settings to advance workforce capacity.

Supporting psychosis research, implementation, and training through an academic intermediary-purveyor organization.

Intermediary-purveyor organizations (IPOs) are a type of dissemination support system that are intended to enhance the adoption and sustainment of empirically supported treatments (ESTs) by deploying empirically supported strategies to remediate implementation challenges. Despite the recent proliferation of government-funded IPOs for other psychiatric populations, IPOs that can redress the substantial science-to-practice gap among clients who experience psychotic disorders are not well documented. This article provides an overview of an IPO in an R1 academic medical center whose mission is to enhance access to evidence-based interventions for individuals who have or are at risk for a psychotic disorder. The article spotlights the functions of an IPO and illustrates these functions with a use case, cognitive behavioral therapy for psychosis. We highlight IPO-led activities related to cognitive behavioral therapy for psychosis purveyance, professional development, quality improvement, public awareness education and training, research and evaluation, as well as program and policy development. Finally, we address the advantages and disadvantages of establishing IPOs of this nature in academic medical centers, the importance of academic-community partnerships in advancing EST implementation, and present considerations for replication. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Association of collaborative care intervention features with depression and metabolic outcomes in the INDEPENDENT study: A mixed methods study.

AIMS: The INtegrating DEPrEssioN and Diabetes treatmENT (INDEPENDENT) trial tested a collaborative care model including electronic clinical decision support (CDS) for treating diabetes and depression in India. We aimed to assess which features of this clinically and cost-effective intervention were associated with improvements in diabetes and depression measures. METHODS: Post-hoc analysis of the INDEPENDENT trial data (189 intervention participants) was conducted to determine each intervention feature's effect: 1. Collaborative case reviews between expert psychiatrists and the care team; 2. Patient care-coordinator contacts; and 3. Clinicians' CDS prompt modifications. Primary outcome was baseline-to-12-months improvements in diabetes control, blood pressure, cholesterol, and depression. Implementer interviews revealed barriers and facilitators of intervention success. Joint displays integrated mixed methods' results. RESULTS: High baseline HbA1c≥ 74.9 mmol/mol (9%) was associated with 5.72 fewer care-coordinator contacts than those with better baseline HbA1c (76.8 mmol/mol, 9.18%, p < 0.001). Prompt modification proportions varied from 38.3% (diabetes) to 1.3% (LDL). Interviews found that providers' and participants' visit frequencies were preference dependent. Qualitative data elucidated patient-level factors that influenced number of clinical contacts and prompt modifications explaining their lack of association with clinical outcomes. CONCLUSION: Our mixed methods approach underlines the importance of the complementarity of different intervention features. Qualitative findings further illuminate reasons for variations in fidelity from the core model.

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.

Preventive counseling for chronic disease: missed opportunities in a community mental health center.

BACKGROUND: The tremendous burden of cardiovascular risk among persons with serious mental illness underscores a critical need for prevention. Counseling by primary care clinicians increases patient smoking cessation, physical activity, and the consumption of fruits and vegetables. The extent to which community mental health clinicians counsel about cardiovascular risk factors has not been reported. METHODS: This cross-sectional study examines the rates of counseling about cardiovascular risk factors by mental health providers at an urban community mental health center (n = 154). Logistic regression analyses identified clinician characteristics associated with counseling more than 50% of clients about diet, exercise, and smoking. RESULTS: 72% of clinical staff members responded to the survey, for a sample of 154 mental health clinicians; 26.6% of the clinicians counseled more than half of their clients annually about all three cardiovascular disease (CVD) risk factors. Logistic regression showed that mental health providers who counseled clients about CVD risk factors were less likely to be obese, and were more likely to have received formal training about how to counsel clients about CVD risk. DISCUSSION: This is the first study to examine the routine clinical practice of community mental health clinicians in addressing CVD risk at an urban community mental health center. Both training mental health clinicians about CVD risk and also support for improving clinician health status may improve the preventive care provided to clients at community mental health centers.