Arpamas Seetasith
IMS Health
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Publication
Featured researches published by Arpamas Seetasith.
Journal of Medical Economics | 2016
Chakkarin Burudpakdee; Huamao Mark Lin; Weiying Wang; Arpamas Seetasith; Yanyan Zhu; Vijayveer Bonthapally; Kenneth R. Carson
Abstract Objective: This retrospective cohort study utilized real-world claims data to assess the clinical and economic burden of peripheral T-cell lymphoma (PTCL) over the continuum of care in the US. Methods: Data were extracted from US administrative claims databases to identify adult patients with PTCL (ICD-9-CM code 202.7X) diagnosed between October 2007 and June 2011. Patients had to have ≥6 months of continuous enrollment before and ≥12 months of continuous enrollment after their index date (date of first PTCL diagnosis). PTCL patients were matched (1:5) by age, sex, region, plan type, payer type, and length of continuous enrollment, to a control group of randomly selected patients without PTCL. Patient-level healthcare resource utilization data and associated costs (in US dollars) were measured. Mean costs per patient per month were determined. Results: Of 2820 patients with PTCL, 1000 met all inclusion criteria (median age = 57 years; 57.5% male) and were matched to the control group (n = 5000). On an average monthly basis, PTCL patients were hospitalized more frequently (0.07 vs 0.01 admissions; p < 0.0001) and had a longer length of hospital stay (6.4 vs 4.0 days; p < 0.0001) compared with controls. PTCL patients also had higher monthly utilization of pharmacy services (2.85 vs 0.97 prescriptions; p < 0.0001), office visits (1.35 vs 0.34 visits; p < 0.0001), ER visits (0.07 vs 0.02 visits; p < 0.0001), hospice stays (0.05 vs 0.01 stays; p < 0.0001) and other patient services/procedures. Overall, PTCL patients incurred higher average monthly costs per patient compared with control patients (
Patient Preference and Adherence | 2018
Douglas C. Wolf; Srihari Jaganathan; Chakkarin Burudpakdee; Arpamas Seetasith; Robert Low; Edward Lee; Jay Gucky; Mohamed Yassine; David A. Schwartz
6327.84 vs
Journal of Medical Economics | 2018
Arpamas Seetasith; Mallik Greene; Ann Hartry; Chakkarin Burudpakdee
388.39; p < 0.0001), driven mainly by hospitalizations (32.2% of overall costs) and pharmacy services (19.6%). Conclusions: This is the first real-world study to quantify healthcare resource utilization, costly treatment, and overall medical expenditure in commercially insured PTCL patients. Better tolerated and more effective treatments may improve disease management and reduce the clinical and economic burden of PTCL.
Current Medical Research and Opinion | 2018
Mallik Greene; Chakkarin Burudpakdee; Michael Behling; Arpamas Seetasith; Holly Krasa
Background Patient support programs have a positive effect on adherence to therapy. Certolizumab pegol (CZP) is a tumor necrosis factor antagonist for the treatment of Crohn’s disease. Objectives To assess, using real-world claims data, whether home health nurse assistance had an effect on patients’ adherence to CZP and to measure its impact on health care use and costs. Methods A retrospective analysis of medical and pharmacy claims data from the IQVIA Real-World Data Adjudicated Claims Database was conducted using data from January 1, 2007 through September 30, 2015. CZP patients with Crohn’s disease were eligible to receive self-administration instructions from a nurse or nurse-administered CZP injections, or both. These services were provided by CIMplicity®, a home health nurse program sponsored by UCB Pharma. Cohorts were based on patients with and without nurse assistance and were matched based on gender and categorical age. Adherence to CZP was determined using the medication possession ratio (MPR) and proportion of days covered (PDC). A Kaplan–Meier analysis was performed to compare time to discontinuation of CZP between the two cohorts. Multivariate regression analyses were performed, adjusting for additional covariates to compare the effect of CZP with and without nurse assistance on hospitalization and total health care costs. Results Patients with at least 12 months of continuous enrollment post-index date were evaluated for adherence to CZP (n=276 in each cohort). The mean and median PDC and MPR values were higher with nurse assistance than without. Time to discontinuation was significantly longer in patients who received CZP with nurse assistance than without (P=0.0004). Results from the multivariate analyses showed a significant reduction in all-cause hospitalization (−55.8%; P=0.0026) and total health care costs (−14.3%; P=0.0045) with nurse assistance. Conclusion This analysis suggests that home health nurse assistance increases adherence to CZP and reduces health care costs in patients with Crohn’s disease.
Pulmonary Therapy | 2017
Chakkarin Burudpakdee; Arpamas Seetasith; Patrick Dunne; Garry Kauffman; Brian Carlin; Dom Coppolo; Jason Suggett
Abstract Aims: The study compared all-cause and major depressive disorder (MDD)-related healthcare resource use (HRU) and costs in patients with MDD treated with atypical antipsychotic (AAP) adjunctive therapy early or later in treatment. Materials and methods: Adults with MDD and antidepressant treatment (ADT) who newly initiated adjunctive aripiprazole, brexpiprazole, lurasidone, or quetiapine between October 1, 2014 and September 30, 2015 were identified in the IQVIA Real-World Data Adjudicated Claims database; the index date was the date of the first AAP claim. Patients were stratified into three cohorts: AAP initiated in the first year (Y1); in the second year (Y2); and more than 2 years (Y3) of first ADT use. Within each cohort, HRU and costs were compared between the 12 months before and after the index date. Pre–post changes in HRU and costs were then compared between cohorts. Results: Five hundred and six (36.7%) patients were categorized as Y1; 252 (18.3%) as Y2; and 622 (45.1%) as Y3. AAP use was associated with significantly decreased rates of all-cause and MDD-related hospitalization and emergency department visits, and increased rates of pharmacy fills and physician office visits; and the magnitude of changes was largest in cohort Y1. Cohort Y1 had the largest reductions in mean (±SD) all-cause medical costs per patient (−
Value in Health | 2018
Arpamas Seetasith; M Greene; Ann Hartry; C Burudpakdee
10,496 ±
Value in Health | 2018
Arpamas Seetasith; M Greene; Ann Hartry; C Burudpakdee
85,022, p = .015) compared to Y2 (−
Journal of Clinical Oncology | 2018
Chakkarin Burudpakdee; Arpamas Seetasith; Carolina Reyes; Sarika Ogale; J. Munakata; Laura Chu
2,474 ±
American Journal of Cardiovascular Drugs | 2018
Thy P. Do; Arpamas Seetasith; Rossella Belleli; Raymond Schlienger; Stefano Corda; Chakkarin Burudpakdee; Hendrik Streefkerk; Sigrid Behr
85,022, p = .572) and Y3 (−
Value in Health | 2016
Chakkarin Burudpakdee; Z. Zhao; Arpamas Seetasith; Qiufei Ma; I Campos Tapias; Beth Barber
472 ±