scholarly journals Economic burden of rivaroxaban and warfarin among nonvalvular atrial fibrillation patients with obesity and polypharmacy

Author(s):  
François Laliberté ◽  
Veronica Ashton ◽  
Akshay Kharat ◽  
Dominique Lejeune ◽  
Kenneth Todd Moore ◽  
...  

Aim: Evaluate healthcare resource utilization (HRU) and costs associated with rivaroxaban and warfarin among nonvalvular atrial fibrillation (NVAF) patients with obesity and polypharmacy. Materials & methods: IQVIA PharMetrics® Plus (January 2010–September 2019) data were used to identify NVAF patients with obesity (BMI ≥30 kg/m2) and polypharmacy (≥5 medications) initiated on rivaroxaban or warfarin. Weighted rate ratios and cost differences were evaluated post-treatment initiation. Results: Rivaroxaban was associated with significantly lower rates of HRU, including hospitalization (rate ratio [95% CI]: 0.83 [0.77, 0.92]). Medical costs were reduced in rivaroxaban users (difference [95% CI]: -US$6868 [-US$10,628, -US$2954]), resulting in significantly lower total healthcare costs compared with warfarin users (difference [95% CI]: -US$4433 [-US$8136, -US$582]). Conclusion: Rivaroxaban was associated with lower HRU and costs compared with warfarin among NVAF patients with obesity and polypharmacy in commercially insured US patients.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e19408-e19408
Author(s):  
Nilanjan Ghosh ◽  
Bruno Emond ◽  
Marie-Hélène Lafeuille ◽  
Aurélie Côté-Sergent ◽  
Patrick Lefebvre ◽  
...  

e19408 Background: Ibrutinib is a targeted oral therapy indicated for MCL patients who received ≥1 prior line of therapy (LOT) (conditional approval on 11/13/2013 in the US). This study compared healthcare resource utilization (HRU) and costs of R/R MCL patients treated with ibrutinib ± rituximab (I±R) or CIT in a US-managed care population. Methods: Optum Clinformatics Extended DataMart De-Identified Databases (05/13/2013-6/30/2019) were used to identify adults with MCL receiving I±R or CIT (index date) following ≥1 prior LOT. Patients’ baseline characteristics were balanced using inverse probability of treatment weighting (IPTW). Monthly HRU and costs (plan paid amount) were evaluated during the first Oncology Care Model (OCM) episode (i.e., first 6 months) post-index and during the observed index I±R or CIT LOT (index LOT); and compared using rate ratios (RRs) and mean monthly cost differences (MMCDs), respectively. Results: A total of 146 I±R and 158 CIT patients were identified. Given the small sample size and to ensure outliers were not driving the results, 2 patients with total healthcare costs ≤0.5th and ≥99.5th percentile were excluded from each cohort. After IPTW, 149 and 151 patients were included in the weighted I±R and CIT cohorts, respectively (mean length of index LOT: 12.0 vs 11.0 months). During the first OCM episode and during the index LOT, the I±R cohort had significantly fewer monthly days with outpatient services compared to the CIT cohort (OCM: RR= 0.63, P<0.001; index LOT: RR= 0.73, P=0.004). The I±R cohort incurred significantly higher monthly pharmacy costs that were offset by lower monthly medical costs, yielding a monthly total cost reduction of $9,435 (p<0.001) during the first OCM episode and $4,628 (p=0.010) during the index LOT, compared to the CIT cohort (Table). Conclusions: In this study, patients with R/R MCL treated with ibrutinib ± rituximab had significantly fewer days with outpatient services and lower total healthcare costs per month versus those treated with CIT during the first OCM episode and the index LOT. [Table: see text]


2021 ◽  
Vol 104 (12) ◽  
pp. 1953-1958

Objective: Health care costs (HCCs) are a significant concern in developing countries. The authors investigated the healthcare resource utilization (HCRU) and HCCs for patients with COVID-19 based on disease severity and infection site. Materials and Methods: The authors reviewed data from the electronic medical records of COVID-19 patients admitted to the present study hospital between January 2020 and April 2020. The authors used comorbidities and patient characteristics as covariates. Analyses were conducted using simple linear regression and generalized linear regression models with a log-link and gamma distribution. Results: Two hundred two patients had confirmed SARS-CoV-2 infection. Total costs per patient were 6,626 USD (756 to 45,586). Personal protection equipment costs were the most significant cost for COVID-19 patients with a mean of 3,778 USD. The mean treatment cost per patient was 326 USD. Patients with severe symptoms and lower respiratory tract infection (LRI) had a higher cost and resource utilization value before and after adjusting for covariates. Conclusion: COVID-19 patients with severe symptoms and LRI had higher HCRU. Length of stay, severity of symptoms, and LRI were associated with higher cost of treatment. Keywords: SARS-CoV-2; COVID-19; Healthcare resource utilization; Healthcare costs; Thailand


10.36469/9889 ◽  
2014 ◽  
Vol 2 (1) ◽  
pp. 63-74
Author(s):  
Christopher M. Blanchette ◽  
Şerban R. Iorga ◽  
Aylin Altan ◽  
Jerry G. Seare ◽  
Ying Fan ◽  
...  

Background: Autosomal dominant polycystic kidney disease (ADPKD), a hereditary nephropathy, eventually leads to end-stage renal disease (ESRD), typically by mid-life. Objectives: The objective of this study was to assess real-world healthcare resource utilization and cost among commercially insured (COM) and Medicare Advantage (MAPD) ADPKD patients in addition to the cost profile by chronic kidney disease (CKD) stage. Methods: Patients diagnosed with ADPKD (two or more claims) with ≥30 days of continuous medical and pharmacy benefits and no evidence of autosomal recessive polycystic kidney disease were selected (Optum Research Database and Impact National Benchmarking Database: 1/1/06–8/31/12). Plan and patient paid healthcare costs and resource utilization per patient per month (PPPM) were described in total and by insurance type. CKD stage was established based on serum creatinine laboratory values or dialysis-related codes. Adjusted, CKD stage-specific costs were predicted for 4 years using regression models. Results: Of the 36,253,096 patients in the databases (1/1/06-8/31/12), 5,051 had evidence of ADPKD. Following exclusion criteria, 4,356 COM and 468 MAPD ADPKD patients remained. Total healthcare resource utilization and costs were high, and costs increased substantially from CKD stage 1–5. PPPM healthcare costs were 37% for ADPKD management and 52% for dialysis services. Predicted 4-year healthcare costs by CKD stage were $40,164 (stage 1), $33,397 (stage 2), $42,686 (stage 3), $148,402 (stage 4), and $207,548 (stage 5). Conclusions: Healthcare resource utilization and costs associated with ADPKD were substantial, irrespective of payer type, and primarily driven by CKD stage. Of the total healthcare costs, 88% were ADPKD- and dialysis-related. Most impactful was the spike in predicted cost when patients progressed from CKD stage 3 to stage 4 (by 348%) after multivariate adjustment. These stage 4–associated costs are primarily due to ultimate progression into stage 5 and ESRD within the 4-year time frame.


2018 ◽  
Vol 111 (12) ◽  
pp. 749-757 ◽  
Author(s):  
Jean-Yves Le Heuzey ◽  
Jean-Pierre Bassand ◽  
Jean-Baptiste Berneau ◽  
Paolo Cozzolino ◽  
Lucia D’Angiolella ◽  
...  

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