Economic burden in Medicaid beneficiaries with recently relapsed schizophrenia or with uncontrolled symptoms of schizophrenia not adherent to antipsychotics.

Patients with schizophrenia struggle with disease relapses and uncontrolled symptoms, which can either result in or be a result of non-adherence to antipsychotics (APs). The economic burden of such patients is hypothesized to be substantial. To evaluate the economic burden of recently relapsed schizophrenia or of uncontrolled symptoms of schizophrenia with non-adherence to APs in Medicaid beneficiaries. Adults with ≥ 2 schizophrenia diagnoses and controls without schizophrenia were identified in Medicaid data (1997Q1-2018Q1) from Iowa, Kansas, Mississippi, Missouri, New Jersey, and Wisconsin. The index date was the last observed schizophrenia diagnosis (cohort with schizophrenia) or the last service claim (control cohort) with ≥ 12 months of continuous Medicaid enrollment before and after it. Cohorts were matched 1:1 using propensity scores. After matching, two subgroups were identified among adults with schizophrenia: (1) patients with schizophrenia and a recent relapse (≥ 1 schizophrenia-related inpatient or emergency department claim ≤ 60 days before or on the index date) and (2) patients with uncontrolled symptoms of schizophrenia (≥ 2 schizophrenia-related hospitalizations) and non-adherence to APs (proportion of days covered < 80%) in the 12-month pre-index period. Previously matched controls were then subset to patients in each subgroup and their matched pairs without schizophrenia, thus maintaining the 1:1 matching ratio. Healthcare resource utilization (HRU) and costs ($2018 USD) in the 12-month post-index (observation) period were compared between matched pairs using adjusted regression models. Among 158,763 patients with schizophrenia, 18,771 (11.8%) had a recent relapse (mean age 50.5 years; 48.6% female, 51.4% male) and 13,697 (8.6%) were not adherent to APs and had uncontrolled symptoms of schizophrenia (mean age 47.1 years; 48.0% female, 52.0% male). During the observation period, patients with recently relapsed schizophrenia and those non-adherent to APs with uncontrolled symptoms of schizophrenia had significantly higher HRU relative to their controls without schizophrenia. Patients with recently relapsed schizophrenia had mean total healthcare costs $21,862 higher relative to their controls ($37,424 vs $15,563), driven by $8,486 higher mean long-term care costs (all < 0.001). Patients non-adherent to APs with uncontrolled symptoms of schizophrenia had adjusted mean total healthcare costs $20,787 higher relative to their controls ($38,337 vs $15,241), driven by $8,019 higher adjusted mean inpatient costs (all < 0.001). Additional total healthcare costs incurred by patients with recently relapsed schizophrenia and those of patients non-adherent to APs with uncontrolled symptoms of schizophrenia exceeded by 55.2% and 47.6%, respectively, incremental total healthcare costs incurred by all patients with schizophrenia ($14,087). Patients with recently relapsed schizophrenia and those non-adherent to AP therapy with uncontrolled symptoms of schizophrenia incurred higher HRU and costs relative to patients without schizophrenia. Additional healthcare costs of these subgroups of patients with schizophrenia appeared higher than in the overall population with schizophrenia. This study was supported by Janssen Scientific Affairs, LLC. The sponsor was involved in the study design, data collection, data analysis, manuscript preparation, and publication decisions. Pilon, Lafeuille, Zhdanava, Côté-Sergent, Rossi, and Lefebvre are employees of Analysis Group, Inc., a consulting company that has provided paid consulting services to Janssen Scientific Affairs, LLC, which funded the development and conduct of this study and manuscript. Patel, Joshi, and Lin are employees of Janssen Scientific Affairs, LLC and stockholders of Johnson & Johnson. Part of the material in this manuscript has been presented at the US Psych Congress, October 3-6, 2019, San Diego, CA, and at the Virtual ISPOR Meeting, May 18-20, 2020.