Direct Costs of Opioid Abuse in an Insured Population in the United States
Alan G. White, Howard G. Birnbaum, Milena N. Mareva, Maham Daher, Susan Vallow, Jeff Schein, Nathaniel P. Katz
Abstract
OBJECTIVE: To (a) describe the demographics of opioid abusers; (b) compare the prevalence rates of selected comorbidities and the medical and drug utilization patterns of opioid abusers with patients from a control group, for the period from 1998 to 2002; and (c) calculate the mean annual per-patient total health care costs (e.g., inpatient, outpatient, emergency room, drug, other) from the perspective of a private payer. METHODS: ) codes for opioid abuse (304.0, 304.7, 305.5, and 965.0 [excluding 965.01]). A control group of nonabusers was selected using a matched sample (by age, gender, employment status, and census region) in a 3:1 ratio. Per-patient annual health care costs (mean total medical and drug costs) were measured in 2003 U.S. dollars. Multivariate regression techniques were also used to control for comorbidities and to compare costs with a benchmark of depressed patients. RESULTS: <0.01), driven by higher drug utilization (including opioids) for opioid abusers. Even when controlling for comorbidities using a multivariate regression model of a matched control of depressed patients, the average health care costs of opioid abusers were 1.8 times higher than the average health care costs of depressed patients. CONCLUSION: The high costs of opioid abuse were driven primarily by high prevalence rates of costly comorbidites and high utilization rates of medical services and prescription drugs. DISCLOSURES: Funding for this research was provided by an unrestricted grant from Janssen Medical Affairs, L.L.C. and was obtained by authors Susan Vallow and Jeff Schein, who are employed by Janssen Medical Affairs, L.L.C. Nathaniel Katz is a consultant to Janssen and numerous other pharmaceutical companies that manufacture branded opioid products and nonopioid analgesics; authors Alan G. White, Howard G. Birnbaum, Milena N. Mareva, and Maham Daher disclose no potential bias or conflict of interest relating to this article. White served as principal author of the study. Study concept and design were contributed primarily by White, Vallow, Schein, and Katz. Analysis and interpretation of data were contributed by all authors. Drafting of the manuscript was primarily the work of White, and its critical revision was the work of White and Vallow. Statistical expertise was contributed by White, Birnbaum, and Daher, and administrative, technical, and/or material support was provided by Analysis Group, Inc., Boston, MA.