Retraining transplant pharmacy staff to reduce Medicare Part B prescription billing errors post-transplant.

BACKGROUND: Medicare Part B (MedB) imposes penalties for certain errors in prescription billing of post-transplant medications, which can greatly affect pharmacy revenue. To prevent MedB billing fines, pharmacy staff must be cognizant of specific MedB requirements. OBJECTIVE: This quality improvement project aimed to retrain certified pharmacy technicians (CPhTs) on common billing errors and evaluate changes in error rates and potential fines after retraining. We aimed to determine whether retraining CPhTs minimizes MedB prescription billing errors and reduces potential fines owed by the Vanderbilt Transplant Pharmacy (VTP) to the Centers for Medicare and Medicaid Services (CMS). METHODS: This was a single-center, quality improvement study including post-transplant patients with at least one MedB prescription billing error who filled prescriptions through VTP. All CPhTs involved in MedB prescription billing received retraining focused on the top 3 errors in MedB billing identified at VTP: early refills, missing relationship of caller to patient and residence of patient on order documentation, or no day supply remaining recorded on the order file. Retraining consisted of developing a training checklist, testing current knowledge levels, individualized nonpunitive coaching based on technician specific errors, and retesting for knowledge retention. Outcomes included the number of prescriptions with at least one MedB prescription billing error and the projected amount of dollars fined owing to errors recorded during the 3 months before and 3 months after retraining. RESULTS: Fourteen CPhTs received retraining. Average refill too soon errors decreased by 37.5% (10.7% vs. 6.7%), average missing relationship by 21.7% (7.7% vs. 6%), and day supply errors by 39.7% (1.7% vs. 1%). Error reductions equaled a 28.2% decrease (approximately $12,700) in potential fines. CONCLUSION: Retraining focused on MedB billing error successfully reduced error frequency and fines from CMS. MedB billing error fines can be costly for pharmacies dispensing high-cost medications; therefore, identifying common errors and training staff can be useful and financially prudent.

Denosumab treatment lapses, discontinuation, and off-treatment fracture risk: A retrospective study of patients with osteoporosis in a real-world clinical setting.

INTRODUCTION: The purpose of this study was to retrospectively examine predictors of fracture risk when adult patients experienced a denosumab treatment lapse or discontinuation in a real-world clinic setting. MATERIALS AND METHODS: Eligible patients were adults who had received ≥2 doses of denosumab at an academic health center in the United States. Demographics, treatment doses, reasons for missed doses, and fractures, were collected retrospectively from electronic health records, from an 8-year period (2010-2018). The number of times each patient incurred a treatment lapse, defined as ≥240 days between two doses (excluding lapse due to discontinuation, death, or transfer of care) was computed. The occurrence of denosumab discontinuation (excluding discontinuation due to death or transfer of care), whether the patient initiated alternative therapy, and the reason for each lapse and discontinuation were collected. Cox proportional hazards models assessed characteristics associated with risk of fracture and treatment discontinuation. A logistic regression model was used to determine if cumulative amount of time off medication (i.e., cumulative lapse time) was associated with a higher likelihood of incurring a fracture. RESULTS: We included 534 patients: 95 % White, 86 % women, 33 % tobacco users, 13 % diagnosed with diabetes, median age 69 years (Interquartile Range (IQR): 62-77), and median Body Mass Index (BMI) 25 kg/m2 (IQR: 22-28). Thirty-six percent of patients incurred 250 lapses; 10 % discontinued therapy. Dental problems/procedures and logistical barriers were the most common reasons for lapses and discontinuations. Nineteen percent (n = 103) incurred a total of 190 fractures; of these, 121 were osteoporotic, 50 were vertebral. Risk of any, osteoporotic, and vertebral fractures were associated with off-treatment status (hazard ratio [HR] = 1.7, p = 0.043; HR = 2.0, p = 0.026; and HR = 4.2, p = 0.001, respectively) and older age (HR = 1.3, p = 0.015; HR = 1.5, p = 0.001; and HR = 1.8, p = 0.005, respectively). Older age was associated with higher risk of discontinuation (HR = 1.4, p = 0.022). There was a non-significant trend of a nonlinear association between incurring a fracture and cumulative lapse time (p = 0.087). CONCLUSION: Denosumab treatment lapses are common, and off-treatment status may be associated with a higher risk of fractures. Clinical teams should proactively identify and address adverse effects and potential logistical barriers to reduce the risk of treatment lapses.