R. Brett McQueen

Burden of multiple sclerosis on direct, indirect costs and quality of life: National US estimates.

BACKGROUND MS imposes a significant burden on patients, caregivers, employers, and the healthcare system. OBJECTIVE To comprehensively evaluate the US MS burden using nationally representative data from the Medical Expenditure Panel Survey. METHODS We identified non-institutionalized patients aged ≥18 with MS (ICD-9 code 340) from 1998 to 2009 and compared them to individuals without an MS diagnosis (non-MS) during the interview year. The cohorts were compared using multivariate regression on direct costs, indirect costs (measured in terms of employment status, annual wages, and workdays missed), and health-related quality of life (HRQoL; measured using Short Form 12, SF-6 Dimensions, and quality-adjusted life years [QALYs]). RESULTS MS prevalence was 572,312 (95% CI: 397,004, 747,619). Annual direct costs were

Cost-effectiveness of continuous glucose monitoring and intensive insulin therapy for type 1 diabetes

24,327 higher for the MS population (n=526) vs. the non-MS population (n=270,345) (95% CI:

Inhaler Errors in the CRITIKAL Study: Type, Frequency, and Association with Asthma Outcomes

22,320,

The “E” in Cost-Effectiveness Analyses. A Case Study of Omalizumab Efficacy and Effectiveness for Cost-Effectiveness Analysis Evidence

26,333). MS patients had an adjusted 3.3-fold (95% CI: 2.4, 4.5) increase in the odds of not being employed vs. non-MS individuals and a 4.4-fold higher adjusted number of days in bed (95% CI 2.97, 6.45). On average, MS patients lost 10.04 QALYs vs. non-MS cohort. CONCLUSIONS MS was associated with higher healthcare costs across all components, reduced productivity due to unemployment and days spent in bed, and lower HRQoL.

Fasting Blood Glucose-A Missing Variable for GFR-Estimation in Type 1 Diabetes?

BackgroundOur objective was to determine the cost-effectiveness of Continuous Glucose Monitoring (CGM) technology with intensive insulin therapy compared to self-monitoring of blood glucose (SMBG) in adults with type 1 diabetes in the United States.MethodsA Markov cohort analysis was used to model the long-term disease progression of 12 different diabetes disease states, using a cycle length of 1 year with a 33-year time horizon. The analysis uses a societal perspective to model a population with a 20-year history of diabetes with mean age of 40. Costs are expressed in

Clinical and financial impact of pharmacy services in the intensive care unit: pharmacist and prescriber perceptions.

US 2007, effectiveness in quality-adjusted life years (QALYs). Parameter estimates and their ranges were derived from the literature. Utility estimates were drawn from the EQ-5D catalogue. Probabilities were derived from the Diabetes Control and Complications Trial (DCCT), the United Kingdom Prospective Diabetes Study (UKPDS), and the Wisconsin Epidemiologic Study of Diabetic Retinopathy. Costs and QALYs were discounted at 3% per year. Univariate and Multivariate probabilistic sensitivity analyses were conducted using 10,000 Monte Carlo simulations.ResultsCompared to SMBG, use of CGM with intensive insulin treatment resulted in an expected improvement in effectiveness of 0.52 QALYs, and an expected increase in cost of

Cost-Effectiveness Uncertainty Analysis Methods A Comparison of One-Way Sensitivity, Analysis of Covariance, and Expected Value of Partial Perfect Information

23,552, resulting in an ICER of approximately

Economic Value of Improved Accuracy for Self-Monitoring of Blood Glucose Devices for Type 1 Diabetes in Canada

45,033/QALY. For a willingness-to-pay (WTP) of

Incorporating real-world clinical practice in multiple sclerosis economic evaluations

100,000/QALY, CGM with intensive insulin therapy was cost-effective in 70% of the Monte Carlo simulations.ConclusionsCGM with intensive insulin therapy appears to be cost-effective relative to SMBG and other societal health interventions.

Incremental increases in economic burden parallels cardiometabolic risk factors in the US.

BACKGROUND Poor inhaler technique has been linked to poor asthma outcomes. Training can reduce the number of inhaler errors, but it is unknown which errors have the greatest impact on asthma outcomes. OBJECTIVE The CRITical Inhaler mistaKes and Asthma controL study investigated the association between specific inhaler errors and asthma outcomes. METHODS This analysis used data from the iHARP asthma review service-a multicenter cross-sectional study of adults with asthma. The review took place between 2011 and 2014 and captured data from more than 5000 patients on demographic characteristics, asthma symptoms, and inhaler errors observed by purposefully trained health care professionals. People with asthma receiving a fixed-dose combination treatment with inhaled corticosteroids and long-acting beta agonist were categorized by the controller inhaler device they used-dry-powder inhalers or metered-dose inhalers: inhaler errors were analyzed within device cohorts. Error frequency, asthma symptom control, and exacerbation rate were analyzed to identify critical errors. RESULTS This report contains data from 3660 patients. Insufficient inspiratory effort was common (made by 32%-38% of dry-powder inhaler users) and was associated with uncontrolled asthma (adjusted odds ratios [95% CI], 1.30 [1.08-1.57] and 1.56 [1.17-2.07] in those using Turbohaler and Diskus devices, respectively) and increased exacerbation rate. In metered-dose inhaler users, actuation before inhalation (24.9% of patients) was associated with uncontrolled asthma (1.55 [1.11-2.16]). Several more generic and device-specific errors were also identified as critical. CONCLUSIONS Specific inhaler errors have been identified as critical errors, evidenced by frequency and association with asthma outcomes. Asthma management should target inhaler training to reduce key critical errors.