Long-acting injectable antipsychotics (LAIs) have demonstrated better rates of adherence among patients with schizophrenia than oral antipsychotics (OAs). While LAIs often cost more than OAs, better adherence can lead to cost offsets in other areas.

The purpose of this LAI Cost-Offset Value Calculator (LCVC) model is to provide an evidence-based model that estimates total costs and total cost offsets for a hypothetical population of adult patients with schizophrenia treated with atypical LAIs relative to second-generation oral antipsychotics (SGOAs) in the United States.

The model was derived based on studies included in a recent meta-analysis of patients who relapsed while taking an SGOA and were either switched to an atypical LAI or continued an SGOA. User inputs to the model include population size and payer archetype. The model then estimates the difference in adherence rates, relapse rates, hospitalizations, hospital days, hospital costs, emergency department (ED) visits, ED costs, and pharmacy costs, as well as cost offsets overall and by source (ie, hospitalization, ED, pharmacy).

In the base case, representing a hypothetical cohort of 1000 adult patients with schizophrenia in the United States and a composite payer archetype, 1-year pharmacy costs were higher for patients who switched to an LAI relative to patients who continued taking an SGOA ($14,561,971 vs $7,203,142). However, cost offsets were observed for other dimensions of direct costs, including lower ED costs ($1,664,808 vs $2,241,483) and substantially lower hospital costs ($23,623,612 vs $44,195,100) due to fewer relapses (409 vs 508). For some payer archetypes (ie, Medicare and Veteran Affairs), the cost offsets completely covered the higher pharmacy costs for LAIs; for others (ie, Commercial and Medicaid), the cost offsets partially covered the higher pharmacy costs for LAIs, though sometimes substantially.

Despite potential higher pharmacy costs for LAIs, this model supports the conclusion that those costs could be mitigated by cost offsets in other areas, with varying results depending on payer archetype. The LCVC model, parameterized using real-world data extracted from a recent systematic review and meta-analysis, may be helpful for payers in understanding the potential cost offsets of switching patients with schizophrenia who have relapsed while taking OAs to LAIs. To our knowledge, there are no similar studies for schizophrenia that calculate cost offsets based solely on empirical evidence of patients who failed on OAs.

Teva Branded Pharmaceutical Products R&D, Inc.

Healthcare professionals (HCPs) face unique challenges when managing patients with schizophrenia. Educational initiatives targeting common clinical dilemmas encountered by clinicians, including partial or nonadherence, may alleviate knowledge gaps and clarify the role of long-acting injectable antipsychotic agents (LAIs) in treating this population.

4 experts in schizophrenia management used empirical evidence to identify 11 key clinical dilemmas where LAIs may be useful. These experts then developed a heuristic, educational tool (S.C.O.P.E.™: Schizophrenia Clinical Outcome Scenarios and Patient-Provider Engagement) based on empirical evidence and expert opinion for clinicians to use when encountering similar scenarios to optimize schizophrenia care.

S.C.O.P.E.™ is a freely-available resource comprising an interactive digital platform providing educational materials for HCPs involved in continued care for patients with schizophrenia. S.C.O.P.E.™ provides HCPs with considerations in common clinical scenarios met in inpatient and outpatient settings, as well as questions to consider when patients present to the emergency department. The potential usefulness of LAIs is explored in each scenario. Clinical education videos prepare nurse practitioners, social workers, and case managers to address patient concerns and communicate the benefits of LAI treatment. S.C.O.P.E.™ will not replace clinical judgment, guidelines, or continuing medical education, and is not a platform for recording patient-level data, nor intended for payer negotiations or access-related questions by HCPs.

S.C.O.P.E.™ is an educational tool for HCPs to use alongside standard psychiatric evaluations to improve understanding of how to manage common clinical dilemmas when treating patients with schizophrenia and the role of LAIs in schizophrenia management.

Teva Branded Pharmaceutical Products R&D, Inc.

Healthcare professionals (HCPs) face unique challenges when managing patients with schizophrenia. Educational initiatives targeting common clinical dilemmas encountered by clinicians, such as unfamiliarity with prescribing information for long-acting injectable antipsychotics (LAIs), may assist clinicians when treating patients with schizophrenia.

Four experts in schizophrenia management used empirical evidence to identify 11 key clinical dilemmas where LAIs may be useful. These experts then developed a heuristic, educational tool (S.C.O.P.E.™: Schizophrenia Clinical Outcome Scenarios and Patient-Provider Engagement) based on empirical evidence and expert opinion for clinicians to use when encountering similar scenarios to optimize schizophrenia care. S.C.O.P.E.™ also includes supportive elements such as an LAI selector.

S.C.O.P.E.™ is a freely available resource comprising an interactive digital platform providing educational materials for HCPs involved in continued care for patients with schizophrenia. To acquaint HCPs with characteristics of common LAIs used in schizophrenia treatment, S.C.O.P.E.™ offers a selector that filters LAIs by approved indication(s), initiation regimen, reconstitution, dosing strengths and frequency, injection volumes and routes, and supply and storage information based on approved product labels. The LAI selector does not provide LAI safety and efficacy data, so HCPs should visit individual product websites for this information. Therefore, S.C.O.P.E.™ will not replace clinical judgment, guidelines, or continuing medical education, and is not a platform for recording patient-level data, nor intended for payer negotiations or access-related questions by HCPs.

S.C.O.P.E.™ is an educational tool for HCPs to use alongside standard psychiatric evaluations to improve understanding of how to manage common clinical dilemmas when treating patients with schizophrenia, the role of LAIs in schizophrenia management, and the product characteristics of available LAIs.

Teva Branded Pharmaceutical Products R&D, Inc.

Early intervention in psychosis (EIP) services improve outcomes for young people, but approximately 30% disengage.

To test whether a new motivational engagement intervention would prolong engagement and whether it was cost-effective.

We conducted a multicentre, single-blind, parallel-group, cluster randomised controlled trial involving 20 EIP teams at five UK National Health Service (NHS) sites. Teams were randomised using permuted blocks stratified by NHS trust. Participants were all young people (aged 14–35 years) presenting with a first episode of psychosis between May 2019 and July 2020 (N = 1027). We compared the novel Early Youth Engagement (EYE-2) intervention plus standardised EIP (sEIP) with sEIP alone. The primary outcome was time to disengagement over 12–26 months. Economic outcomes were mental health costs, societal costs and socio-occupational outcomes over 12 months. Assessors were masked to treatment allocation for primary disengagement and cost-effectiveness outcomes. Analysis followed intention-to-treat principles. The trial was registered at ISRCTN51629746.

Disengagement was low at 15.9% overall in standardised stand-alone services. The adjusted hazard ratio for EYE-2 + sEIP (n = 652) versus sEIP alone (n = 375) was 1.07 (95% CI 0.76–1.49; P = 0.713). The health economic evaluation indicated lower mental healthcare costs linked to reductions in unplanned mental healthcare with no compromise of clinical outcomes, as well as some evidence for lower societal costs and more days in education, training, employment and stable accommodation in the EYE-2 group.

We found no evidence that EYE-2 increased time to disengagement, but there was some evidence for its cost-effectiveness. This is the largest study to date reporting positive engagement, health and cost outcomes in a total EIP population sample. Limitations included high loss to follow-up for secondary outcomes and low completion of societal and socio-occupational data. COVID-19 affected fidelity and implementation. Future engagement research should target engagement to those in greatest need, including in-patients and those with socio-occupational goals.

Given increased survival for adults with CHD, we aim to determine outcome differences of infective endocarditis compared to patients with structurally normal hearts in the general population.

We conducted a retrospective cross-sectional study identifying infective endocarditis hospitalisations in patients 18 years and older from the National Inpatient Sample database between 2001 and 2016 using International Classification of Disease diagnosis and procedure codes. Weighting was used to create national annual estimates indexed to the United States population, and multivariable logistic regression analysis determined variable associations. Outcome variables were mortality and surgery. The primary predictor variable was the presence or absence of CHD.

We identified 1,096,858 estimated infective endocarditis hospitalisations, of which 17,729 (1.6%) were adults with CHD. A 125% increase in infective endocarditis hospitalisations occurred for adult CHD patients during the studied time period (p < 0.001). Adults with CHD were significantly less likely to experience mortality (5.4% vs. 9.5%, OR 0.54, CI 0.47–0.63, p < 0.001) and more likely to undergo in-hospital surgery (31.6% vs. 6.7%, OR 6.49, CI 6.03–6.98, p < 0.001) compared to the general population. CHD severity was not associated with increased mortality (p = 0.53). Microbiologic aetiology of infective endocarditis varied between groups (p < 0.001) with Streptococcus identified more commonly in adults with CHD compared to patients with structurally normal hearts (36.2% vs. 14.4%).

Adults with CHD hospitalised for infective endocarditis are less likely to experience mortality and more likely to undergo surgery than the general population.

Advanced laryngeal cancers are clinically complex; there is a paucity of modern decision-making models to guide tumour-specific management. This pilot study aims to identify computed tomography-based radiomic features that may predict survival and enhance prognostication.

Pre-biopsy, contrast-enhanced computed tomography scans were assembled from a retrospective cohort (n = 72) with advanced laryngeal cancers (T3 and T4). The LIFEx software was used for radiomic feature extraction. Two features: shape compacity (irregularity of tumour volume) and grey-level zone length matrix – grey-level non-uniformity (tumour heterogeneity) were selected via least absolute shrinkage and selection operator-based Cox regression and explored for prognostic potential.

A greater shape compacity (hazard ratio 2.89) and grey-level zone length matrix – grey-level non-uniformity (hazard ratio 1.64) were significantly associated with worse 5-year disease-specific survival (p < 0.05). Cox regression models yielded a superior C-index when incorporating radiomic features (0.759) versus clinicopathological variables alone (0.655).

Two radiomic features were identified as independent prognostic biomarkers. A multi-centre prospective study is necessary for further exploration. Integrated radiomic models may refine the treatment of advanced laryngeal cancers.