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1.
J Manag Care Spec Pharm ; 22(2): 102-9, 2016 Feb.
Artículo en Inglés | MEDLINE | ID: mdl-27015249

RESUMEN

BACKGROUND: U.S. health care spending nearly doubled in the decade from 2000-2010. Although the pace of increase has moderated recently, the rate of growth of health care costs is expected to be higher than the growth in the economy for the near future. Previous studies have estimated that 5% of patients account for half of all health care costs, while the top 1% of spenders account for over 27% of costs. The distribution of health care expenditures by type of service and the prevalence of particular health conditions for these patients is not clear, and is likely to differ from the overall population. OBJECTIVE: To examine health care spending patterns and what contributes to costs for the top 5% of managed health care users based on total expenditures. METHODS: This retrospective observational study employed a large administrative claims database analysis of health care claims of managed care enrollees across the full age and care spectrum. Direct health care expenditures were compared during calendar year 2011 by place of service (outpatient, inpatient, and pharmacy), payer type (commercially insured, Medicare Advantage, and Medicaid managed care), and therapy area between the full population and high resource patients (HRP). RESULTS: The mean total expenditure per HRP during calendar year 2011 was $43,104 versus $3,955 per patient for the full population. Treatment of back disorders and osteoarthritis contributed the largest share of expenditures in both HRP and the full study population, while chronic renal failure, heart disease, and some oncology treatments accounted for disproportionately higher expenditures in HRP. The share of overall expenditures attributed to inpatient services was significantly higher for HRP (40.0%) compared with the full population (24.6%), while the share of expenditures attributed to pharmacy (HRP = 18.1%, full = 21.4%) and outpatient services (HRP = 41.9%, full = 54.1%) was reduced. This pattern was observed across payer type. While the use of physician-administered pharmaceuticals was slightly higher in HRP, their use did not alter this spending pattern. CONCLUSIONS: Overall, expenditures in the HRP population are more than 10-fold higher compared with the full population. Managed care pharmacy can benefit from understanding what contributes to these higher costs, and managed care directors should consider an appropriately balanced assessment of the share of total spend by service and therapeutic category in HRP when devising drug usage and related cost-management strategies.


Asunto(s)
Costo de Enfermedad , Atención a la Salud/economía , Costos de la Atención en Salud , Gastos en Salud , Adolescente , Adulto , Anciano , Atención Ambulatoria/economía , Femenino , Recursos en Salud , Humanos , Revisión de Utilización de Seguros/economía , Masculino , Programas Controlados de Atención en Salud/economía , Medicaid/economía , Persona de Mediana Edad , Prevalencia , Estudios Retrospectivos , Estados Unidos , Adulto Joven
2.
Diabetes Ther ; 5(2): 499-520, 2014 Dec.
Artículo en Inglés | MEDLINE | ID: mdl-25366334

RESUMEN

INTRODUCTION: The objective of this study was to evaluate real-world treatment patterns of type 2 diabetes (T2D) patients initiating glucagon-like peptide-1 receptor agonists (GLP-1 RAs) in Germany (GE), the United Kingdom (UK), France (FR), the Netherlands (NE), Belgium (BE), and Sweden (SE). METHODS: Adult T2D patients initiating exenatide twice daily (exBID), liraglutide once daily (LIRA) or exenatide once weekly (exQW) were identified using the IMS LifeLink™ (IMS Health, Danbury, CT, USA): Electronic Medical Records (EMR; GE/UK/FR) and IMS LifeLink™: longitudinal prescriptions (LRx; NE/BE/GE/UK) databases, and national health register data (SE), between 2010 and 2012. Therapy initiation date was termed 'index date'. Eligible patients had ≥180-day pre- and variable follow-up (minimum ≥360-day post-index exBID and LIRA, ≥180-day post-index exQW). Treatment modification and persistence were evaluated over 180 days. Kaplan-Meier (KM) survival curves and Cox proportional hazards models (PHMs; EMR databases only) evaluated stopping of the index therapy (measured as first of discontinuation or switch). RESULTS: 30,206 exBID, 5,401 exQW, and 52,155 LIRA patients were included in the analysis (46.0-66.9% male; mean age range 55.4-59.3 years). Mean follow-up was 20.3-27.4 months for exBID and LIRA, and 7.6-13.9 months for exQW. Across the databases, the proportion experiencing a treatment modification at 180 days was highest among exBID (37.6-81.7%) compared to LIRA (36.8-56.6%) and exQW (32.3-47.7%). The proportion persistent at 180 days was lowest among exBID patients (46.8-73.5%) compared to LIRA (50.6-80.1%) or exQW (57.5-74.6%). In the KM analyses, LIRA patients had a lower proportion stopping therapy at all time points compared to exBID patients, across the databases. In the Cox PHMs, LIRA was associated with a significantly lower risk of stopping compared to exBID; in GE, exQW was associated with a lower risk compared to exBID and LIRA. CONCLUSION: Treatment patterns varied among GLP-1 RA patients, with persistence highest among either LIRA or exQW across countries, and lowest among exBID. Longer-term data would be useful, particularly given limited exQW follow-up due to more recent launch.

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