Racial Disparities Among Clinical High-Risk and First-Episode Psychosis Multisite Research Participants: A Systematic Review.

OBJECTIVE: The NIH has mandated equal representation of Black, Indigenous, and people of color (BIPOC) individuals in clinical research, but it is unclear whether such inclusion has been achieved in multisite research studies of individuals at clinical high risk for psychosis or with first-episode psychosis (FEP). An assessment of inclusion rates is important for understanding the social determinants of psychosis and psychosis risk that specifically affect BIPOC individuals. METHODS: The authors conducted a systematic review of the literature published between 1993 and 2022 of multisite research studies of clinical high risk for psychosis and FEP in North America to determine ethnoracial inclusion rates. Using an online systematic review tool, the authors checked 2,278 studies for eligibility. Twelve studies met all inclusion criteria. Data were extracted, and demographic characteristics, socioeconomic status, study design, and recruitment strategies used by each study were analyzed. RESULTS: Most (62%) of the participants in studies of clinical high risk for psychosis were White. Compared with national data, the demographic characteristics of individuals with clinical high risk were representative across most ethnoracial groups. Black participants (43%) made up the largest ethnoracial group in FEP studies and were overrepresented compared with their representation in the U.S. population. FEP studies were more likely to recruit participants from community mental health centers than were the studies of clinical high risk. CONCLUSIONS: Although these results suggest high representation of BIPOC individuals in psychosis research, opportunities exist for an improved focus on ethnoracial representation. The authors offer recommendations for practices that may increase ethnoracial diversity in future psychosis study samples.

Race-Based Disparities in the Frequency and Duration of Restraint Use in a Psychiatric Inpatient Setting.

OBJECTIVE: Patients' race and age have each been identified as risk factors for experiencing restraint events during psychiatric hospitalization. Restraint duration is also an important variable in determining disparities in treatment. To the authors' knowledge, no studies to date have examined the effect of the interaction of race and age on restraint use and duration in inpatient psychiatric settings. This retrospective chart review of electronic medical records of patients admitted between 2012 and 2019 sought to examine whether race and age interacted in predicting differences in the use and duration of restraints in a psychiatric inpatient setting. METHODS: Logistic and hierarchical regression analyses were conducted on data from a sample of 29,739 adolescent (ages 12-17 years) and adult (ages ≥18 years) inpatients to determine whether the interaction of race and age group (adolescent or adult) significantly predicted a restraint event or differences in restraint duration. RESULTS: Black (adjusted OR [AOR]=1.85) and multiracial (AOR=1.36) patients were more likely to experience a restraint event than were their White peers. Black race was also significantly (p=0.001) associated with longer restraint duration. No significant interaction was detected between race and age in predicting restraint events or duration. CONCLUSIONS: Although the interaction between race and age did not predict restraint events or duration, the findings indicate racial disparities in the frequency and duration of restraint events among Black and multiracial individuals and may inform efforts to reduce these events.

Racial and ethnic inequities in psychiatric inpatient building and unit assignment.

Racism is a social determinant of mental health which has a disproportionally negative impact on the experiences of psychiatric inpatients of color. Distinct differences in the physical space and clinical settings of two inpatient buildings at a hospital system in the tristate (New York, New Jersey, Connecticut) area of the United States led to the present investigation of racial inequities in the assignment of patients to specific buildings and units. Archival electronic medical record data were analyzed from over 18,000 unique patients over a period of six years. Hierarchical logistic regression analyses were conducted with assigned building (old vs. new building) as the binary outcome variable. Non-Hispanic White patients were set as the reference group. Black, Hispanic/Latinx, and Asian patients were significantly less likely to be assigned to better resourced units in the new building. When limiting the analysis to only general adult units, Black and Hispanic/Latinx patients were significantly less likely to be assigned to units in the new building. These results suggest ethnoracial inequities in patient assignment to buildings which differed in clinical and physical conditions. The findings serve as a call to action for hospital systems to examine the ways in which structural racism impact clinical care.

Community Walks: a cluster randomized controlled trial of a multilevel physical activity intervention for low income public housing residents.

BACKGROUND: Physical activity behavioral interventions to change individual-level drivers of activity, like motivation, attitudes, and self-efficacy, are often not sustained beyond the intervention period. Interventions at both environmental and individual levels might facilitate durable change. This community-based study seeks to test a multilevel, multicomponent intervention to increase moderate intensity physical activity among people with low incomes living in U.S. public housing developments, over a 2 year period. METHODS: The study design is a prospective, cluster randomized controlled trial, with housing developments (n=12) as the units of randomization. In a four-group, factorial trial, we will compare an environmental intervention (E) alone (3 developments), an individual intervention (I) alone (3 developments), an environmental plus individual (E+I) intervention (3 developments), against an assessment only control group (3 developments). The environmental only intervention consists of community health workers leading walking groups and indoor activities, a walking advocacy program for residents, and provision of walking maps/signage. The individual only intervention consists of a 12-week automated telephone program to increase physical activity motivation and self-efficacy. All residents are invited to participate in the intervention activities being delivered at their development. The primary outcome is change in moderate intensity physical activity measured via an accelerometer-based device among an evaluation cohort (n=50 individuals at each of the 12 developments) from baseline to 24-month follow up. Mediation (e.g., neighborhood walkability, motivation) and moderation (e.g., neighborhood stress) of our interventions will be assessed. Lastly, we will interview key informants to assess factors from the Consolidated Framework for Implementation Research domains to inform future implementation. DISCUSSION: We hypothesize participants living in developments in any of the three intervention groups (E only, I only, and E+I combined) will increase minutes of moderate intensity physical activity more than participants in control group developments. We expect delivery of an intervention package targeting environmental and social factors to become active, combined with the individual level intervention, will improve overall physical activity levels to recommended guidelines at the development level. If effective, this trial has the potential for implementation through other federal and state housing authorities. TRIAL REGISTRATION: Clinical Trails.gov PRS Protocol Registration and Results System, NCT05147298 . Registered 28 November 2021.

Treatment Journey From Diagnosis to the Successful Implementation of a Long-Acting Injectable Antipsychotic Agent in Young Adults With Schizophrenia.

Objective: Long-acting injectable antipsychotic agents (LAIs) are effective in schizophrenia relapse prevention but are often underutilized. This study aims to understand treatment patterns leading to a successful LAI implementation following schizophrenia diagnosis in a large dataset that included commercially insured patients in the United States.Methods: Patients aged 18-40 years with a first schizophrenia diagnosis (per ICD-9 or ICD-10 criteria), successful second-generation LAI implementation (defined a priori as ≥ 90 consecutive days of use), and ≥ 1 second-generation oral antipsychotic agent (OA) were identified from IBM MarketScan Commercial and Medicare Supplemental databases from January 1, 2012, to December 31, 2019. Outcomes were measured descriptively.Results: Of 41,391 patients with newly diagnosed schizophrenia, 1,836 (4%) received ≥ 1 LAI; 202 (< 1%) met eligibility criteria of successful LAI implementation following ≥ 1 second-generation OA. Median (range) time between diagnosis and first LAI was 289.5 (0-2,171) days, time between LAI initiation and successful implementation was 90.0 (90-1,061) days, and time to LAI discontinuation after successful implementation was 166.5 (91-799) days. Before LAI initiation, 58% received ≥ 2 OAs. For 86% with successful LAI implementation, the implementation was accomplished with the first LAI.Conclusions: In this dataset of mainly commercially insured patients, LAI use in early-phase schizophrenia was very low (4%). For the majority for whom a LAI was successfully implemented per a priori definition, the implementation was accomplished with the first LAI and in a short period of time (90 days). However, even when LAIs were used in early-phase schizophrenia, they were generally not the first therapy, as most patients had several prior OA treatments.

Predictors for Initiation of Atypical Long-Acting Injectable Antipsychotic Agents in a Commercial Claims Cohort of Individuals With Early-Phase Schizophrenia.

Objective: Long-acting injectable antipsychotic agents (LAIs) have improved clinical effectiveness and adherence versus oral antipsychotic agents (OAs); however, a minority of individuals with schizophrenia are treated with LAIs compared with OAs. This cohort study aimed to evaluate predictors of initiation of atypical LAIs among patients with newly diagnosed schizophrenia in the United States.Methods: Using claims data from IBM MarketScan Commercial and Medicare Supplemental databases between January 1, 2013, and March 31, 2020, adults with first diagnosis of schizophrenia, ≥ 1 OA claim following diagnosis, and continuous benefits were identified. To evaluate predictors of LAI initiation, a Cox proportional hazard regression model per independent predictors and main outcome (ie, LAI initiation) was performed.Results: Of 3,639 patients with early-phase schizophrenia, 369 (10%) had ≥ 1 LAI claim(s) after ≥ 1 OA claim(s). Several factors present prior to LAI initiation were significantly (P < .0001) predictive of LAI initiation: greater monthly OA switches (hazard ratio [95% CI]: 11.39 [7.01-18.51]), unsuccessful OA implementation (3.09 [2.39-3.98]), greater monthly schizophrenia-related hospitalizations (20.83 [14.22-30.51]), and greater monthly schizophrenia-related emergency department visits (4.13 [2.07-8.22]).Conclusions: In this analysis of pharmacy claims records for patients with early-phase schizophrenia, results suggest that LAIs are used less frequently in the early phase than reported in later stages. Their initiation is often reactive to relapse or disease exacerbation, rather than proactive as a relapse-prevention tool for early-phase schizophrenia. These data highlight the underuse of LAIs, particularly in the early phase when they could make the most difference.

Early versus late administration of long-acting injectable antipsychotic agents among patients with newly diagnosed schizophrenia: an analysis of a commercial claims database.

This study was designed to assess healthcare resource utilization (HCRU) and costs in patients with newly diagnosed schizophrenia based on timing and context of long-acting injectable antipsychotic agent (LAI) initiation. Using claims data, patients (aged 18-40 years) with first schizophrenia diagnosis January 2013-September 2019 (index date), no LAI or oral antipsychotic agent claims during 12-month preindex period, and continuous benefit enrollment from 12 months before index date to 12 months after first LAI administration were identified. Patients were grouped based on timing [early (≤1 year after index date) vs. late] and circumstances [reactive (after schizophrenia-related event) vs. proactive] of LAI initiation. Of 1290 patients with at least one LAI claim, 306 met criteria for early ( n = 204; reactive, n = 107; proactive, n = 97) and late ( n = 102; n = 75; n = 27) initiation. HCRU and costs were numerically lower in early versus late groups, and significantly lower for proactive initiation in both groups. Comparing worst-case (late-reactive) and best-case (early-proactive) scenarios, the average annual cost difference was $7195.13 ( P = 0.0233), with major drivers being emergency department ($171.28; P < 0.05) and other outpatient ($2845.73; P < 0.00001) visits. In addition to the clinical advantages previously described in the literature, the proactive use of LAIs in early-phase schizophrenia is associated with lower healthcare costs.

A Digital Intervention Using Daily Financial Incentives to Increase Medication Adherence in Severe Mental Illness: Single-Arm Longitudinal Pilot Study.

BACKGROUND: Medication nonadherence is prevalent in severe mental illness and is associated with multiple negative outcomes. Mobile technology and financial incentives show promise to improve medication adherence; however, studies in mental health, especially with oral medications, are lacking. OBJECTIVE: The aim of this paper is to assess the feasibility and effectiveness of offering financial incentives through a mobile app based on behavioral economics principles to improve medication adherence in severe mental illness. METHODS: A 10-week, single-arm longitudinal pilot study was conducted. Patients earned rewards in the context of app-based adherence incentives. The reward was split into biweekly payments made in increments of US $15, minus any US $2 per day penalties for missed check-ins. Time-varying effect modeling was used to summarize the patients' response during the study. RESULTS: A total of 25 patients were enrolled in this pilot study, of which 72% (n=18) were female, and 48% (n=12) were of a White racial background. Median age was 24 (Q1-Q3: 20.5-30) years. Participants were more frequently diagnosed with schizophrenia and related disorders (n=9, 36%), followed by major depressive disorder (n=8, 32%). App engagement and medication adherence in the first 2 weeks were higher than in the last 8 weeks of the study. At study endpoint, app engagement remained high (n=24, Z=-3.17; P<.001), but medication adherence was not different from baseline (n=24, Z=-0.59; P=.28). CONCLUSIONS: Financial incentives were effectively delivered using an app and led to high engagement throughout the study and a significantly increased medication adherence for 2 weeks. Leveraging behavioral economics and mobile health technology can increase medication adherence in the short term. TRIAL REGISTRATION: ClinicalTrials.gov NCT04191876; https://clinicaltrials.gov/ct2/show/NCT04191876.

Making Sense of the Matrix: A Qualitative Assessment and Commentary on Connecting Psychiatric Symptom Scale Items to the Research Domain Criteria (RDoC).

The Research Domain Criteria (RDoC) initiative aims to organize research according to domains of brain function. Dysfunction within these domains leads to psychopathology that is classically measured with rating scales. Examining the correspondence between the specific measures assessed within rating scales and RDoC domains is necessary to assess the needs for new RDoC-focused scales. Such RDoC-focused scales have the potential of allowing translation of this work into the clinical domain of measuring psychopathology and designing treatment. Here, we describe an initial qualitative assessment by a group of 10 clinician-scientists of the alignment between RDoC domains and the items within five commonly used rating scales. In this commentary, we report limited correspondence and make recommendations for future work needed to address these limitations.

Assessing Smoke-Free Housing Implementation Approaches to Inform Best Practices: A National Survey of Early-Adopting Public Housing Authorities.

Secondhand smoke (SHS) exposure causes chronic illness and occurs at a higher prevalence in low-income communities than the general public. In 2018, the U.S. Department of Housing and Urban Development (HUD) instituted a smoke-free housing rule for Public Housing Authorities (PHAs) to address persistent health inequities. However, the success of smoke-free housing requires evidence to inform effective implementation approaches. A mixed-methods, cross-sectional survey was conducted in a national sample of PHAs. Questions focused on housing officials' use of specific implementation strategies. Adjusted odds ratios were used to assess associations between implementation approaches and variations among PHAs (i.e., region, size, or recency of policy adoption). Qualitative analyses were conducted to assess the perceived effectiveness of implementation strategies. Resident engagement, staff training, and smoking cessation support were the most frequently used implementation strategies. Engagement with local stakeholders was cited less frequently. Enforcement actions were limited with no violations referred to housing court. Support for policy adherence was identified as a sixth implementation strategy. While most PHAs used at least some evidence-informed implementation strategies, a lack of a systematic approach may limit overall effectiveness. Further research is required to resolve implementation barriers experienced disproportionately by a subset of PHAs, and to inform a best practice implementation framework that meets the needs of a heterogeneous population.

Awareness of illness moderates self-assessment of psychotic symptoms.

OBJECTIVE: Self-reports or patient-reported outcome measures are seldom used in psychosis due to concerns about the ability of patients to accurately report their symptomatology, particularly in cases of low awareness of illness. The aim of this study was to assess the effect of insight on the accuracy of self-reported psychotic symptoms using a computerized adaptive testing tool (CAT-Psychosis). METHODS: A secondary analysis of data drawn from the CAT-Psychosis development and validation study was performed. The Brief Psychiatric Rating Scale and the Scale of Unawareness of Mental Disorders were administered by clinicians. Patients completed the self-reported version of the CAT-Psychosis. Patients were median-split regarding their insight level to compare the correlation between the two psychosis severity measures. A subgroup sensitivity analysis was performed only on patients with schizophrenia spectrum disorders. RESULTS: A total of 159 patients with a psychotic disorder who completed both CAT-Psychosis and Scale of Unawareness of Mental Disorders were included. For the whole sample, CAT-Psychosis scores showed convergent validity with Brief Psychiatric Rating Scale ratings (r = 0.517, 95% confidence interval = [0.392, 0.622], p < 0.001). Insight was found to moderate this correlation (ß = -0.511, p = 0.005), yet agreement between both measures remained statistically significant for both high (r = 0.621, 95% confidence interval = [0.476, 0.733], p < 0.001) and low insight patients (r = 0.408, 95% confidence interval = [0.187, 0.589], p < 0.001), while psychosis severity was comparable between these groups (for Brief Psychiatric Rating Scale: U = 3057, z = -0.129, p = 0.897; disorganization: U = 2986.5, z = -0.274, p = 0.784 and for CAT-Psychosis: U = 2800.5, z = -1.022, p = 0.307). Subgroup of patients with schizophrenia spectrum disorders showed very similar results. CONCLUSIONS: Insight moderates the correlation between self-reported and clinician-rated severity of psychosis, yet CAT-Psychosis remains valid in patients with both high and low awareness of illness.

Assessment of the Impact of Tardive Dyskinesia in Clinical Practice: Consensus Panel Recommendations.

PURPOSE: Tardive dyskinesia (TD) is a hyperkinetic movement disorder in which patients experience abnormal involuntary movements that can have profound negative impacts on physical, cognitive, and psychosocial functioning. Use of measures to assess the functional impact of TD in routine clinical practice is lacking. To address this gap, an advisory panel of experts in psychiatry and movement disorder neurology was convened to develop consensus recommendations on assessment of the impact of TD on patients' functioning that can be used in clinical practice. METHODS: An advisory panel provided recommendations using an iterative process, beginning with a narrative literature review regarding current practices for assessing the impact of TD in clinical settings. A detailed summary was generated, and the advisory panel provided comments about the content and answered questions about assessing TD impact in clinical practice. The panelists' responses were discussed during a virtual meeting held on August 28, 2020. A second meeting on September 25, 2020, focused on developing and refining recommendations for assessment of the impact of TD in clinical practice. At the conclusion of the second meeting, general consensus was reached on all recommendation statements. RESULTS: As part of routine clinical practice, it is imperative to assess the impact of TD on the patient's life to help guide treatment decisions. Key domains for assessing the overall impact of TD include social, physical, vocational, and psychological functioning and the impact of TD on the underlying psychiatric disorder. Assessment of TD impact should be performed at every patient visit. Impact assessments should include consultation with patients, caregivers, and family members. Shared decision-making to initiate TD treatment should consider impact. CONCLUSION: The impact of TD should be assessed routinely, including the key domains of social, physical, vocational, and psychological functioning and the impact of TD on the underlying psychiatric disorder.

Adoption of Digital Health Technologies in the Practice of Behavioral Health: Qualitative Case Study of Glucose Monitoring Technology.

BACKGROUND: Evaluation of patients with serious mental illness (SMI) relies largely on patient or caregiver self-reported symptoms. New digital technologies are being developed to better quantify the longitudinal symptomology of patients with SMI and facilitate disease management. However, as these new technologies become more widely available, psychiatrists may be uncertain about how to integrate them into daily practice. To better understand how digital tools might be integrated into the treatment of patients with SMI, this study examines a case study of a successful technology adoption by physicians: endocrinologists' adoption of digital glucometers. OBJECTIVE: This study aims to understand the key facilitators of and barriers to clinician and patient adoption of digital glucose monitoring technologies to identify lessons that may be applicable across other chronic diseases, including SMIs. METHODS: We conducted focus groups with practicing endocrinologists from 2 large metropolitan areas using a semistructured discussion guide designed to elicit perspectives of and experiences with technology adoption. The thematic analysis identified barriers to and facilitators of integrating digital glucometers into clinical practice. Participants also provided recommendations for integrating digital health technologies into clinical practice more broadly. RESULTS: A total of 10 endocrinologists were enrolled: 60% (6/10) male; a mean of 18.4 years in practice (SD 5.6); and 80% (8/10) working in a group practice setting. Participants stated that digital glucometers represented a significant change in the treatment paradigm for diabetes care and facilitated more effective care delivery and patient engagement. Barriers to the adoption of digital glucometers included lack of coverage, provider reimbursement, and data management support, as well as patient heterogeneity. Participant recommendations to increase the use of digital health technologies included expanding reimbursement for clinician time, streamlining data management processes, and customizing the technologies to patient needs. CONCLUSIONS: Digital glucose monitoring technologies have facilitated more effective, individualized care delivery and have improved patient engagement and health outcomes. However, key challenges faced by the endocrinologists included lack of reimbursement for clinician time and nonstandardized data management across devices. Key recommendations that may be relevant for other diseases include improved data analytics to quickly and accurately synthesize data for patient care management, streamlined software, and standardized metrics.

Preoperative Ultrasound Assessment of Regional Lymph Nodes in Melanoma Patients Does not Provide Reliable Nodal Staging: Results From a Large Multicenter Trial.

OBJECTIVE: To assess whether preoperative ultrasound (US) assessment of regional lymph nodes in patients who present with primary cutaneous melanoma provides accurate staging. BACKGROUND: It has been suggested that preoperative US could avoid the need for sentinel node (SN) biopsy, but in most single-institution reports, the sensitivity of preoperative US has been low. METHODS: Preoperative US data and SNB results were analyzed for patients enrolled at 20 centers participating in the screening phase of the second Multicenter Selective Lymphadenectomy Trial. Excised SNs were histopathologically assessed and considered positive if any melanoma was seen. RESULTS: SNs were identified and removed from 2859 patients who had preoperative US evaluation. Among those patients, 548 had SN metastases. US was positive (abnormal) in 87 patients (3.0%). Among SN-positive patients, 39 (7.1%) had an abnormal US. When analyzed by lymph node basin, 3302 basins were evaluated, and 38 were true positive (1.2%). By basin, the sensitivity of US was 6.6% (95% confidence interval: 4.6-8.7) and the specificity 98.0% (95% CI: 97.5-98.5). Median cross-sectional area of all SN metastases was 0.13 mm2; in US true-positive nodes, it was 6.8 mm2. US sensitivity increased with increasing Breslow thickness of the primary melanoma (0% for ≤1 mm thickness, 11.9% for >4 mm thickness). US sensitivity was not significantly greater with higher trial center volume or with pre-US lymphoscintigraphy. CONCLUSION: In the MSLT-II screening phase population, SN tumor volume was usually too small to be reliably detected by US. For accurate nodal staging to guide the management of melanoma patients, US is not an effective substitute for SN biopsy.

Development and Validation of a Computerized Adaptive Assessment Tool for Discrimination and Measurement of Psychotic Symptoms.

OBJECTIVE: Time constraints limit the use of measurement-based approaches in research and routine clinical management of psychosis. Computerized adaptive testing (CAT) can reduce administration time, thus increasing measurement efficiency. This study aimed to develop and test the capacity of the CAT-Psychosis battery, both self-administered and rater-administered, to measure the severity of psychotic symptoms and discriminate psychosis from healthy controls. METHODS: An item bank was developed and calibrated. Two raters administered CAT-Psychosis for inter-rater reliability (IRR). Subjects rated themselves and were retested within 7 days for test-retest reliability. The Brief Psychiatric Rating Scale (BPRS) was administered for convergent validity and chart diagnosis, and the Structured Clinical Interview (SCID) was used to test psychosis discriminant validity. RESULTS: Development and calibration study included 649 psychotic patients. Simulations revealed a correlation of r = .92 with the total 73-item bank score, using an average of 12 items. Validation study included 160 additional patients and 40 healthy controls. CAT-Psychosis showed convergent validity (clinician: r = 0.690; 95% confidence interval [95% CI]: 0.610-0.757; self-report: r = .690; 95% CI: 0.609-0.756), IRR (intraclass correlation coefficient [ICC] = 0.733; 95% CI: 0.611-0.828), and test-retest reliability (clinician ICC = 0.862; 95% CI: 0.767-0.922; self-report ICC = 0.815; 95%CI: 0.741-0.871). CAT-Psychosis could discriminate psychosis from healthy controls (clinician: area under the receiver operating characteristic curve [AUC] = 0.965, 95% CI: 0.945-0.984; self-report AUC = 0.850, 95% CI: 0.807-0.894). The median length of the clinician-administered assessment was 5 minutes (interquartile range [IQR]: 3:23-8:29 min) and 1 minute, 20 seconds (IQR: 0:57-2:09 min) for the self-report. CONCLUSION: CAT-Psychosis can quickly and reliably assess the severity of psychosis and discriminate psychotic patients from healthy controls, creating an opportunity for frequent remote assessment and patient/population-level follow-up.

The physical health and side-effect monitoring of patients prescribed clozapine: data from a clinical audit conducted in UK mental health services.

BACKGROUND: In addition to mandatory haematological monitoring, treatment guidelines recommend routine monitoring of adverse effects and physical health in patients prescribed clozapine. METHODS: NHS trusts/healthcare organisations participated in a clinical audit in the context of a UK quality improvement programme addressing clozapine-prescribing practice. RESULTS: Data relating to 6948 adult patients prescribed clozapine were submitted by 63 NHS trusts/healthcare organisations. Of 481 patients treated with clozapine for up to 18 weeks, there was documented pretreatment screening of blood pressure, heart rate and ECG in at least 90%, and body weight, plasma lipids, plasma glucose/glycated haemoglobin (HbA1c) and physical examination in approximately 80%. During the first 2 weeks of clozapine treatment there was documented daily measurement of both heart rate and blood pressure in 82% and body temperature in 77%. In a subsample of 411 patients, of the 72% who had weekly side-effect assessments documented in the first month of treatment, a structured assessment tool had been used in 29%. Treatment monitoring up to 18 weeks included an ECG in 90%, C-reactive protein (CRP) or creatine kinase in 42%, and troponin or B-type natriuretic peptide (BNP) in 29%. In the 5908 patients prescribed clozapine for at least 1 year, blood pressure and body weight/body mass index were documented in at least 80%, plasma lipids in 78% and plasma glucose in 73%, with an ECG in 55%. Two-thirds were prescribed medication to manage side effects of clozapine and one third of those with a diagnosis of schizophrenia were prescribed a second antipsychotic medication. CONCLUSION: The findings suggest that for most patients treated with clozapine in UK mental health services, physical health screening and side-effect monitoring follow recommended practice, but there was limited use of structured side-effect assessment tools. Monitoring for clozapine-induced myocarditis during the early risk period using markers of inflammation such as CRP, and cardiac damage such as troponin and BNP, was less consistent. This may partly reflect the variation in guideline recommendations for monitoring for myocarditis and partly the selected use of such tests when prompted by cardiac symptoms. The relatively common coprescription of medications for the majority of people on longer-term clozapine treatment may well further increase side-effect burden and physical health risks, reinforcing the need for continuing systematic monitoring.

Expanding phenomenologic heterogeneity of tardive syndromes: Time for an updated assessment tool.

Tardive syndromes (TDS) are a group of hyperkinetic and hypokinetic movement disorders that occurs after exposure to dopamine receptor blocking agents such as antipsychotic and antiemetic drugs. The Abnormal Involuntary Movement Scale (AIMS) is a widely used instrument that has become the standard for assessment of tardive dyskinesia (TDD), the most common form of TDS. However, the AIMS has a number of clinimetric limitations and was designed primarily to assess the anatomic distribution and severity of involuntary movements without regard to phenomenology. To build on recent advances in understanding and treatment of TDS, re-evaluation and revision of the AIMS that could aid both clinical practice and research may be worthwhile. Challenges, such as retaining the efficiency of the current AIMS, incorporating evaluation of impairment in daily activities, and re-training clinicians for a revised examination procedure and rating instrument, are very likely surmountable.