Real-world analysis of insurance churn among young adults with schizophrenia using the Colorado All-Payer Claims Database.

Abstract

BACKGROUND: Most patients with schizophrenia are diagnosed in their early twenties and often have commercial insurance at diagnosis. These young adults can experience changes in insurance coverage, that is, "churn," which can lead to disruptions in care. OBJECTIVE: To examine the frequency, speed, and type of insurance churn events in a young adult schizophrenia population with commercial insurance coverage at diagnosis. METHODS: The Colorado All-Payer Claims Database, containing insurance claims data from commercial and public insurers for Colorado residents, was used for the study. Eligible patients were required to have at least 1 inpatient or 2 outpatient claims for schizophrenia or schizoaffective disorder, be of age 18-34 years at index, have previous insurance coverage for 12 consecutive months, and have commercial insurance at diagnosis. These patients were 1:5 propensity score matched (PSM) with nonschizophrenia members. Percentages of members on different insurance types were calculated monthly to assess churn events. Cohorts were compared using descriptive statistics, Cox proportional hazards, and generalized estimating equation models. RESULTS: The matched schizophrenia and nonschizophrenia cohorts comprised 501 and 2,510 members, respectively. Before PSM, cohorts were imbalanced (schizophrenia cohort had a younger median age and higher proportion of males). After matching, the cohorts were similar in terms of the matched baseline characteristics. Previous mental health disorders were more common in the schizophrenia cohort (75%) than in the nonschizophrenia cohort (26%). The proportion of members with at least 1 churn event for the schizophrenia and nonschizophrenia cohorts, respectively, were 53.8% vs 36.5% after 12 months and 84.6% vs 69.2% after 48 months. Time to first churn event was significantly shorter in the schizophrenia cohort (16 months) than the nonschizophrenia cohort (23 months; P < 0.001). Schizophrenia cohort members had 64.1 and 56.8 churn events per 1,000 members per month vs 43.0 (P ≤ 0.001) and 42.8 (P = 0.011) churn events for nonschizophrenia cohort members in the first and second 6-month periods, respectively. Proportions of members in the schizophrenia and nonschizophrenia cohorts on public insurance, respectively, were 22.9% vs 6.9% after 12 months and 52.4% and 10.7% after 48 months. In the schizophrenia cohort, the most common churn event type was from commercial to public insurance rather than to a different commercial insurance; notably, 41% of members were still on a commercial plan 4 years after diagnosis. CONCLUSIONS: Young adults with schizophrenia experienced churn events more rapidly and more frequently than those without schizophrenia for the first 4 years studied after the index date. These disruptions may be associated with reduced access to care and treatment gaps in this vulnerable patient population. DISCLOSURES: This research was sponsored by Janssen Scientific Affairs, LLC. Pesa, Benson, and Patel are employees of Janssen Scientific Affairs, LLC, and are stockholders of Johnson & Johnson. Potluri, Rotter, and Papademetriou are employees of SmartAnalyst Inc, and their work on this study was funded by Janssen Pharmaceuticals. A version of this study was presented as a poster at the Psych Congress 2020 Virtual Experience, September 10-13, 2020.