Economic outcomes with the conversion of insulin delivery methods in hospitals.

PURPOSE: To evaluate the insulin wastage and associated acquisition costs when switching from individual patient supply (IPS) of 3-mL pens of rapid-acting insulin (RAI) aspart to floor stock (FS) dispensing of 3-mL vials of RAI lispro, and with conversion from IPS of 3-mL pens to centralized unit dose (CUD) of 10-mL vials of basal insulin detemir. METHODS: Data from September 2010 to December 2012 from three hospitals in the Roper St. Francis Healthcare (RSFH) were used: Roper Hospital (368 beds), Bon Secours St. Francis Hospital (204 beds), and Roper St. Francis Mt. Pleasant Hospital (85 beds). Insulin wastage and associated acquisition costs were estimated using regression models. RESULTS: The conversion from IPS of 3-mL pens of insulin aspart to FS of 3-mL vials of lispro was associated with a significant decrease in insulin wastage (204,042 IUs; p < .001) and equated to an average savings of $106.40 per patient at all three hospitals combined (p < .001). For basal insulin, conversion from IPS of 3-mL pens of insulin detemir to CUD of 10-mL vials was associated with a significant decrease in insulin wastage at Roper and St. Francis Hospitals (p < .001). For Mt. Pleasant Hospital, the decrease was not statistically significant. The predicted average reduction in insulin wastage per month was 52,542.9 IUs (p < .001) at all three hospitals combined. CONCLUSIONS: Switching RAI from IPS of 3-mL pens of insulin aspart to one-time unit dose insulin lispro dispensed from FS 3-mL vials as needed significantly reduced insulin wastage and associated acquisition costs at the three combined hospitals. Conversion of basal insulin from IPS of 3-mL pens of insulin detemir to CUD of 10-mL vials of insulin detemir was associated with a significant reduction in insulin wastage and associated acquisition costs at three hospitals combined.

Estimated Budget Impact of Increased Use of Mirabegron, A Novel Treatment for Overactive Bladder.

BACKGROUND: Oral pharmacological treatment for overactive bladder (OAB) consists of antimuscarinics and the beta-3 adrenergic agonist mirabegron. Antimuscarinic adverse events (AEs) such as dry mouth, constipation, and blurry vision can result in frequent treatment discontinuation rates, leaving part of the OAB population untreated. Antimuscarinics also contribute to a patient's anticholinergic cognitive burden (ACB), so the Beers Criteria recommends cautious use of antimuscarinics in elderly patients who take multiple anticholinergic medications or have cognitive impairment. Since mirabegron does not affect the cholinergic pathways, it is unlikely to contribute to a patient's ACB. OBJECTIVE: To estimate the health care costs associated with the pharmacological treatment of OAB with mirabegron and antimuscarinics from U.S. commercial payer and Medicare Advantage perspectives, using a budget impact model. METHODS: For this budget impact model, 2 analyses were performed. The primary analysis estimated the budgetary impact of increasing the use of mirabegron in a closed patient cohort treated with oral pharmacological treatments. The secondary analysis modeled the economic impact in an open cohort by allowing untreated patients to begin treatment with mirabegron after potential contraindication, intolerance, or lack of effectiveness of antimuscarinics. The analyses were performed over a 3-year time horizon. The economic impact of increased mirabegron use was quantified using direct medical costs, including prescription costs and health resource utilization (HRU) costs. Costs of comorbidities included pharmacy and medical costs of treating OAB-related urinary tract infections (UTI), skin rashes, and depression. An analysis of a large single-site integrated health network database was commissioned to quantify ACB-related HRU in terms of the increases in yearly outpatient and emergency department visits. Based on this analysis, the model associated each unit increase in ACB score with increased HRU and probability of mild cognitive impairment. Clinical outcomes of increased use of mirabegron were presented as the number of AEs and comorbidity episodes that could be avoided. One-way sensitivity analyses were performed to quantify the expected budget impact over the range of uncertainty for the key input variables. RESULTS: Primary analysis calculated the impact of increasing the use of mirabegron from 4.5% to 5.3%, 7.1%, and 9.4% in years 1, 2, and 3, respectively, among oral pharmacological OAB treatments that included generic and branded antimuscarinics: oxybutynin, tolterodine, trospium, darifenacin, fesoterodine, and solifenacin. For a 1 million-member U.S. commercial payer plan, the total prescription costs increased, and the total medical costs decreased during the 3-year time horizon, yielding increases of $0.005, $0.016, and $0.031 from current per member per month (PMPM) costs and $0.90, $2.92, and $5.53 from current per treated member per month (PTMPM) costs, an average of less than 2% of current OAB treatment costs. For the Medicare Advantage plan, the resulting incremental PMPM costs were $0.010, $0.034, and $0.065, and the incremental PTMPM costs were $0.93, $3.04, and $5.76; all were less than 4% of the current cost. The secondary analysis estimated the budgetary effects of reducing the untreated population by 1% annually by initiating treatment with mirabegron. For a commercial payer, this resulted in PMPM cost increases of $0.156, $0.311, and $0.467 from the current value, while the incremental PTMPM cost increased by $6.17, $11.67, and $16.61. For the Medicare Advantage plan, the incremental increases in PMPM costs were $0.277, $0.553, and $0.830, and in PTMPM costs were $6.42, $12.15, and $17.29. Clinically, treating more OAB patients resulted in fewer OAB-related comorbidities from both health plan perspectives, since most events associated with nontreatment could be avoided. In the Medicare Advantage population of the secondary analysis, the total numbers of avoided events were predicted as 452 UTIs, 2,598 depression diagnoses, and 3,020 skin rashes during the time horizon of the model. CONCLUSIONS: Mirabegron addresses an unmet need for therapy for certain OAB patients, for whom antimuscarinics are not recommended because of a risk of cognitive impairment and who are intolerant to the anticholinergic AEs. Using mirabegron involves moderate additional economic cost to a commercial or Medicare Advantage health plan for which medical cost savings can offset a substantial part of increased pharmacy costs. DISCLOSURES: Funding for this study was provided by Astellas. Perk, Wielage, T. Klein, and R. Klein are employed by Medical Decision Modeling, a contract research company that was paid to perform the described outcomes research and build the model contained in this study. Campbell and Perkins are employed by the Regenstrief Institute, which conducted a database analysis for this research. Campbell reports consultancy fees from Astellas, as well as pending grants from Merck, Sharpe, and Dohme Corp. Posta, Yuran, and Ng are employed by Astellas Pharma Global Development, the developer of mirabegron. Study concept and design were contributed by Perk, Wielage, R. Klein, and Ng. Campbell, T. Klein, and Perkins took the lead in data collection, assisted by Perk, Wielage, and Ng. Data interpretation was performed by Posta and Yuran, along with Perk, Wielage, R. Klein, Ng, Campbell, and Perkins. The manuscript was written by Perk and R. Klein, along with Wielage, T. Klein, Posta, Yuran, and Ng, and revised by all the authors.

Enhancing the Budget Impact Model for Institutional Use: A Tool with Practical Applications for the Hospital Oncology Pharmacy.

BACKGROUND: The cost of cancer care is increasing, and tools are needed to understand the economic impact of new drugs on the hospital pharmacy budget. OBJECTIVE: To develop an interactive budget impact model (BIM) through a collaborative effort of industry, academia, and modeling experts to evaluate the use of a new agent in non-small cell lung cancer (NSCLC); this BIM included an institutional module specific to the needs of practices that purchase medications for use in institutional settings. METHODS: Treatment regimens, doses, duration of therapy, toxicity, and cost data are from published sources. All input data may be modified to match the local population. Outputs include cost of care, reimbursement, and margin overall and by treatment regimen. RESULTS: The base case assumes 20 NSCLC patients progressing after initial therapy (3 receiving ramucirumab+docetaxel, 2 bevacizumab+erlotinib, 3 docetaxel, 6 erlotinib, and 6 pemetrexed), wholesale acquisition cost (WAC) purchase price, and reimbursement at WAC+4.3%. The model estimated the total cost and reimbursement for the institutional oncology pharmacy to be $699,413 and $729,487, respectively, resulting in a margin of $30,075 (difference due to rounding) for the year for regimens utilized in the treatment of NSCLC in the post-progression setting. Results will vary depending on the input data. CONCLUSIONS: There is an increasing need for institutional pharmacies to plan ahead and anticipate the impact of new drugs on their oncology budgets. This interactive Excel-based institutional BIM may provide evidence-based support for pharmacy decision making.

Mirabegron for the treatment of overactive bladder: cost-effectiveness from US commercial health-plan and Medicare Advantage perspectives.

BACKGROUND AND OBJECTIVE: The first class of oral pharmacologic treatments for overactive bladder (OAB) are antimuscarinics that are associated with poor persistence, anticholinergic adverse events, and increased anticholinergic burden (ACB) with risk of cognitive impairment. Mirabegron, a ß3-adrenoceptor agonist, is an oral treatment that does not contribute to ACB and has early evidence of improved persistence. The objective of the analysis was to assess the cost-effectiveness of mirabegron for OAB vs six antimuscarinics in the US. METHODS: A Markov state-transition model assessed US commercial health-plan and Medicare Advantage perspectives over a 3-year time horizon in an OAB patient population. Transition probabilities between five micturition and five incontinence severity states were derived from a network meta-analysis of 44 trials of oral OAB treatments. Therapy beginning with an oral OAB agent could discontinue or switch to another oral agent and could be followed by tibial nerve stimulation, sacral neuromodulation, or onabotulinumtoxinA. The primary outcome was cost per quality-adjusted life year (QALY). Utilities were mapped from incontinence and micturition frequencies as well as demographics. Based on analysis of data from a large healthcare system, elevated ACB was associated with increased healthcare utilization and probability of cognitive impairment. RESULTS: From both commercial and Medicare Advantage perspectives, mirabegron was the most clinically effective treatment, while oxybutynin was the least expensive. Tolterodine immediate release (IR) was also on the cost-effectiveness frontier. The analysis estimated costs per QALY of $59,690 and $66,347 for mirabegron from commercial health plan and Medicare Advantage perspectives, respectively, compared to tolterodine IR. Other antimuscarinics were dominated. CONCLUSIONS: This analysis estimated that mirabegron is a cost-effective treatment for OAB from US commercial health plan and Medicare Advantage perspectives, due to fewer projected adverse events and comorbidities, and data suggesting better persistence.

Evaluation of a patient self-directed mealtime insulin titration algorithm: a US payer perspective.

Objective To model the potential economic impact of implementing the AUTONOMY once daily (Q1D) patient self-titration mealtime insulin dosing algorithm vs standard of care (SOC) among a population of patients with Type 2 diabetes living in the US. Methods Three validated models were used in this analysis: The Treatment Transitions Model (TTM) was used to generate the primary results, while both the Archimedes (AM) and IMS Core Diabetes Models (IMS) were used to test the veracity of the primary results produced by TTM. Models used data from a 'real world' representative sample of patients (2012 US National Health and Nutrition Examination Survey) that matched the characteristics of US patients enrolled in the randomized controlled trial 'AUTONOMY' cohort. The base-case time horizon was 10 years. Results The modeling results from TTM demonstrated that total costs in the base-case were reduced by $1732, with savings predicted to occur as early as year 1. Results from the three models were consistent, showing a reduction in total costs for all sensitivity analyses. Limitations Data from short-term clinical trials were used to develop long-term projections. The nature of such extrapolation leads to increased uncertainty. Conclusion The results from all three models indicate that the AUTONOMY Q1D algorithm has the potential to abate total costs as early as the first year.

Monte Carlo sampling and principal component analysis of flux distributions yield topological and modular information on metabolic networks.

The work presented here uses Monte Carlo random sampling combined with flux balance analysis and linear programming to analyse the steady-state flux distributions on the surface of the glucose-ammonia phenotypic phase plane of an Escherichia coli system grown on glucose-minimal medium. The distribution of allowable glucose and ammonia uptake rates showed a triangular shape, the apex corresponding to maximum growth rate. The exact shape, e.g. the diagonal boundary is determined by the relative amounts of nutrients required for growth. The logarithm of flux values has a normal distribution, e.g. there is a log normal distribution, and most of the reactions have an order of magnitude between 10(-1) and 1. The increase in the number of blocked reactions as growth switched from aerobic to micro-aerobic phase and the presence of alternate networks for a single optimal solution were both reflections of the variability of pathway utilization for survival and growth. Principal component analysis (PCA) provided us with significant clues on the correlations between individual reactions and correlations between sets of reactions. Furthermore, PCA identified the most influential reactions of the system. The PCA score plots clearly distinguish two different growth phases, micro-aerobic and aerobic. The loading plots for each growth phase showed both the impact of the reactions on the model and the clustering of reactions that are highly correlated. These results have proved that PCA is a promising way to analyse correlations in high-dimensional solution spaces and to detect modular patterns among reactions in a network.