Biomedical subjects

Stephanie R Earnshaw

Publications and source records attributed to Stephanie R Earnshaw.

5 recordsLinked to original sources

PubMed2006

Cost-effectiveness of recombinant activated factor VII in the treatment of intracerebral hemorrhage.

BACKGROUND AND PURPOSE: Intracerebral hemorrhage (ICH) is among the most costly and debilitating forms of stroke. Results from a recent Phase IIb clinical trial demonstrate that administration of recombinant activated factor VII (rFVIIa) reduces ICH mortality and improves functional outcome. In the current analysis, we examine the cost-effectiveness of early treatment with rFVIIa for ICH in the United States. METHODS: A decision-analytic model was developed to estimate the lifetime costs and outcomes associated with rFVIIa treatment at doses of 40, 80 and 160 microg/kg compared with current standard of care in treating ICH, from a US third-party payer perspective. The patient population was similar to that of the Phase IIb clinical trial. Model structure and inputs were obtained from published literature, clinical trial data, claims databases, and expert opinion. All costs are presented in 2005 US dollars. Outcomes included incremental cost per life-year (LY) saved and incremental cost per quality-adjusted life-year (QALY) gained. Costs and outcomes were discounted at 3% annually. Univariate and multivariate sensitivity analyses were conducted to assess model robustness. RESULTS: Compared with standard care, treatment with rFVIIa 40 microg/kg, and 160 microg/kg results in total lifetime cost-effectiveness ratios of 6308 dollars/QALY and 3152 dollars/QALY, respectively. Treatment with rFVIIa 80 microg/kg was found to be cost saving and a gain of 1.67 QALYs is achieved over a patient's lifetime. These results are robust to changes in input parameters. CONCLUSIONS: Treatment of ICH with rFVIIa 40 microg/kg and 160 microg/kg appears to be cost-effective (<or=50,000 dollars/QALY). At the 80 microg/kg dose, rFVIIa was not only cost-effective, but also cost saving.

Aged↗

PubMed2006

The effect of recombinant activated factor VII in the treatment of intracerebral hemorrhage on health plan budgets.

Treating patients with intracerebral hemorrhage (ICH) using recombinant activated factor VII (rFVIla) has been found to improve survival and functional outcome. To examine how the introduction of rFVIla 80 microg/kg as a treatment for ICH affects the budget of a health plan, a decision-analysis model was developed which considered both short-term hospitalization costs and long-term management of disability. Assuming a health plan enrollment of 1 million members and initial rFVIla uptake of 50% in appropriate patients, the annual health plan cost may be expected to increase by dollar 64,781 (dollar 0.005 per-member per-month). With a 5% increase in uptake each year, the annual health plan's cost may decrease compared with the current budget within three years. The implications for this sample health plan's budget are modest in the first year, and a reduction in costs is expected within three years owing to improved functional outcomes of patients.

Budgets↗

PubMed2005

A cost-effectiveness analysis of antibiotic therapy in macrolide-resistant community-acquired pneumonia.

Successful treatment of community-acquired pneumonia (CAP) can have substantial implications. As rates of antibiotic resistance of Streptococcus pneumoniae--the most common pathogen of CAP-increase, so does the likelihood that first-line pharmacotherapy will fail. Thus, the cost effectiveness and budgetary effects of treating CAP with amoxicillin/ clavulanate (AMX/CLA) extended-release (ER) and clarithromycin ER were analyzed. The model considers incidence of macrolide and AMX/ CLA-susceptible and nonsusceptible S. pneumoniae in empiric therapy. Clinical cure rates from multicenter clinical trials and published literature were used to calculate average treatment costs and success. Amoxicillin/ clavulanate ER resulted in a higher percentage of patients cured compared with clarithromycin ER (88.7% vs. 82.4%, respectively) and lower average per-patient treatment costs (dollar 437.70 vs. dollar 548.14, respectively).

Community-Acquired Infections↗

PubMed2003

Integer/linear mathematical programming models: a tool for allocating healthcare resources.

In today's environment, the demand for efficient healthcare resource allocation is increasing. As new technologies become available, allocation decisions become more complex and tools to assist decision makers in determining efficient allocations of healthcare resources are encouraged. Mathematical programs have multiple properties that are desirable for healthcare decision makers such as the simultaneous consideration of multiple constraints and a built-in sensitivity analysis. These models have been well researched and are considered invaluable in other industries. Mathematical programming has also become increasingly visible in facilitating the allocation of healthcare resources in the health services research sector. However, the use of mathematical programming tools has been limited in economic evaluations of new technologies. Budget allocations, such as formulary, drug development, and pricing decisions may benefit greatly from the use of mathematical programs. As an increasing number of expensive new technologies become available and pressure grows to contain healthcare costs, these tools may help guide a more efficient allocation of resources for technologies under budgetary and other constraints.

Decision Making↗

PubMedDate not supplied

Optimal allocation of resources across four interventions for type 2 diabetes.

BACKGROUND: Several interventions can be applied to prevent complications of type 2 diabetes. This article examines the optimal allocation of resources across 4 interventions to treat patients newly diagnosed with type 2 diabetes. The interventions are intensive glycemic control, intensified hypertension control, cholesterol reduction, and smoking cessation. METHODS: A linear programming model was designed to select sets of interventions to maximize quality-adjusted life years (QALYs), subject to varied budget and equity constraints. RESULTS: For no additional cost, approximately 211,000 QALYs can be gained over the lifetimes of all persons newly diagnosed with diabetes by implementing interventions rather than standard care. With increased availability of funds, additional health benefits can be gained but with diminishing marginal returns. The impact of equity constraints is extensive compared to the solution with the same intervention costs and no equity constraint. Under the conditions modeled, intensified hypertension control and smoking cessation interventions were provided most often, and intensive glycemic control and cholesterol reduction interventions were provided less often. CONCLUSIONS: A resource allocation model identifies trade-offs involved when imposing budget and equity constraints on care for individuals with newly diagnosed diabetes.

Adult↗