Hostname: page-component-745bb68f8f-lrblm Total loading time: 0 Render date: 2025-01-10T13:41:23.971Z Has data issue: false hasContentIssue false

Long-Acting Injectable Antipsychotic Treatment: Calculating Cost Offsets From Real-World Data

Published online by Cambridge University Press:  10 January 2025

John M. Kane
Affiliation:
1The Zucker Hillside Hospital, Northwell Health, Department of Psychiatry, Glen Oaks, NY, United States 2Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Department of Psychiatry and Molecular Medicine, Hempstead, NY, United States 3Feinstein Institutes for Medical Research, Institute of Behavioral Science, Manhasset, NY, United States
Christopher S. Hollenbeak
Affiliation:
4The Pennsylvania State University, Department of Health Policy and Administration, University Park, PA, United States
Sameer Kotak
Affiliation:
5Yorker Health Corp., Glen Rock, NJ, United States
Stephen Thompson
Affiliation:
6Teva Branded Pharmaceutical Products R&D, Inc., Global Health Economics and Outcomes Research, West Chester, PA, United States
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Background

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.

Objective

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.

Methods

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).

Results

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.

Conclusion

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.

Funding

Teva Branded Pharmaceutical Products R&D, Inc.

Type
Abstracts
Copyright
© The Author(s), 2025. Published by Cambridge University Press