Albertsen Townsend (cattleinput24)

supported this study. The authors have no conflicts of interest to disclose. 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. An administrative database of medical and pharmacy claims from 1998 to 2002 of 16 self-insured employer health plans with approximately 2 million lives was used to identify "opioid abusers"-patients with claims associated with ICD-9-CM ( ) 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 31 ratio. Per-patient annual health care costs (mean total medical and drug costs) were measured in 2003 U.S. dollars. Multivariate regression techniques were alsdical 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. Three pharmacist-specific Current Procedural Terminology (CPT) codes exist to facilitate medication therapy management (MTM) reimbursement (codes 99605, 99606, and 99607). However, no studies have used CPT codes in administrative claims databases to identify subjects who have received MTM services. To assess the prevalence of MTM services provided, using CPT codes identified in an administrative dataset. A retrospective cohort study was conducted using a subset of Medicare Part D individuals from the IBM MarketScan Medicare Supplemental Research Databases (2009-2015). Researchers identified beneficiaries who received MTM services using CPT codes 99605, 99606, and 99607. Of the 16,483,709 individuals in the dataset, only 3,291 had CPT codes indicating that they received MTM services, representing an overall prevalence of 0.020%. The use of CPT codes as an indicator of MTM service provision resulted in far lower MTM utilization rates than in published literature. Reliance on CPT codes to identify MTM employee of Pharmacy Quality Alliance at the time of this study. Black is employed by Merck. ACT001 chemical structure Axon reports grants from the Arizona Department of Health Services and the American Association of Colleges of Pharmacy; Campbell reports a grant from the Community Pharmacy Foundation; Chinthammit reports fees from Eli Lilly; Black has received a grant from Merck; Warholak reports grants from the Arizona Department of Health Services and Novartis, all unrelated to this study. Taylor reports grants from Tabula Rasa Op-Co, during the conduct of the study, and from the Arizona Department of Health Services, outside the conduct of this study. This research was accepted as a poster presentation at the International Society for Pharmacoeconomics and Outcomes Research Annual Meeting, May 16-20, 2020, in Orlando, FL, but was not presented due to the