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Abstract Background Non-adherence to psychotropic medications is common in schizophrenia and bipolar disorders (BDs) leading to adverse outcomes. We examined patterns of antipsychotic use in schizophrenia and BD and their impact on subsequent acute care utilization. Methods We used electronic health record (EHR) data of 577 individuals with schizophrenia, 795 with BD, and 618 using antipsychotics without a diagnosis of either illness at two large health systems. We structured three antipsychotics exposure variables: the proportion of days covered (PDC) to measure adherence; medication switch as a new antipsychotic prescription that was different than the initial antipsychotic; and medication stoppage as the lack of an antipsychotic order or fill data in the EHR after the date when the previous supply would have been depleted. Outcome measures included the frequency of inpatient and emergency department (ED) visits up to 12 months after treatment initiation. Results Approximately half of the study population were adherent to their antipsychotic medication (a PDC ≥ 0.80): 53.6% of those with schizophrenia, 52.4% of those with BD, and 50.3% of those without either diagnosis. Among schizophrenia patients, 22.5% switched medications and 15.1% stopped therapy. Switching and stopping occurred in 15.8% and 15.1% of BD patients and 7.4% and 20.1% of those without either diagnosis, respectively. Across the three cohorts, non-adherence, switching, and stopping therapy were all associated with increased acute care utilization, even after adjusting for baseline demographics, health insurance, past acute care utilization, and comorbidity. Conclusion Non-continuous antipsychotic use is common and associated with high acute care utilization.

Abstract Objective Evaluate the prevalence of cardiometabolic conditions among schizophrenia patients before and incidence after initiation of high (HWGR) and low weight gain risk (LWGR) antipsychotic (AP) regimens. Methods A retrospective observational cohort study was conducted using administrative claims data from the IBM® MarketScan Commercial and Multi-State Medicaid Databases. Patients with > 1 medical claim with a diagnosis for schizophrenia and newly initiating AP therapy between 1/1/11–6/30/16 were included. Baseline characteristics were assessed in the 12-months before AP initiation; outcomes over 24-months following AP initiation. Patients were characterized by the AP regimen initiated at the index date. Adherence was defined by a medication possession ratio > 0.8 (medication on hand for 80% of follow-up). Multivariate modeling identified predictors of index AP weight gain risk profile and post-index dyslipidemia. Results Two thousand seven hundred forty-eight commercially-insured and 8,748 Medicaid patients met the inclusion criteria. A majority of patients initiated on atypical AP and approximately 30% were adherent to their index AP regimen. Within both payers, patients indexing on LWGR AP regimens were more likely to have pre-index diagnoses of cardiometabolic conditions including hypertension, dyslipidemia, and diabetes. Significant predictors of post-index dyslipidemia included AP adherence and pre-index diabetes. Within both payers, odds of initiating HWGR AP regimens were higher among patients with evidence of drug abuse. Conclusions There is unmet need for reducing cardiometabolic consequences for patients on AP therapy and this analysis provides evidence that cardiometabolic conditions often develop during early stages of AP therapy. However, this does not appear to be related to the weight gain risk profile of the AP regimen.

Prior studies have identified numerous barriers to the prompt diagnosis of patients with suspected Alzheimer’s disease (AD). The aim of the study was to evaluate physician’s perceptions of the importance of previously identified barriers to diagnosis, but with a specific focus on the presentation of mild cognitive impairment (MCI), which may be indicative of neurodegenerative disorders such as AD. A second aim was to evaluate how the perspective of primary care physicians (PCPs) may differ from that of specialists. A cross-sectional online survey of PCPs and specialists who routinely manage patients with complaints of age-related cognitive impairment was conducted. Participants were asked to identify barriers to prompt diagnosis from prespecified lists of known diagnostic challenges categorized into 4 domains: patient-related, physician-related, setting-related, and those relating to the clinical profile of AD. Physicians report a range of barriers when attempting to diagnose MCI and AD. Major themes included patients seeing cognitive decline as a normal part of aging and not disclosing symptoms, long waiting lists, and a lack of treatment options and definitive biomarker tests. Generally, PCPs and specialists showed broad agreement; however, PCPs were more likely to identify burdens on the healthcare system, such as long waiting lists and inadequate time to evaluate patients. Substantial barriers continue to hinder early diagnosis of MCI and AD. There are numerous areas where improvements might be made but the implementation of potential interventions will likely be associated with financial strain for many healthcare systems.