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At-Home Versus In-Clinic INR Monitoring: A Cost-Utility Analysis from The Home INR Study (THINRS).

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Date
2016-09
Authors
Phibbs, Ciaran S
Love, Sean R
Jacobson, Alan K
Edson, Robert
Su, Pon
Uyeda, Lauren
Matchar, David B
writing for the THINRS Executive Committee and Site Investigators
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Abstract
<h4>Background</h4>Effective management of patients using warfarin is resource-intensive, requiring frequent in-clinic testing of the international normalized ratio (INR). Patient self-testing (PST) using portable at-home INR monitoring devices has emerged as a convenient alternative. As revealed by The Home INR Study (THINRS), event rates for PST were not significantly different from those for in-clinic high-quality anticoagulation management (HQACM), and a cumulative gain in quality of life was observed for patients undergoing PST.<h4>Objective</h4>To perform a cost-utility analysis of weekly PST versus monthly HQACM and to examine the sensitivity of these results to testing frequency.<h4>Patients/interventions</h4>In this study, 2922 patients taking warfarin for atrial fibrillation or mechanical heart valve, and who demonstrated PST competence, were randomized to either weekly PST (n = 1465) or monthly in-clinic testing (n = 1457). In a sub-study, 234 additional patients were randomized to PST once every 4 weeks (n = 116) or PST twice weekly (n = 118). The endpoints were quality of life (measured by the Health Utilities Index), health care utilization, and costs over 2 years of follow-up.<h4>Results</h4>PST and HQACM participants were similar with regard to gender, age, and CHADS2 score. The total cost per patient over 2 years of follow-up was $32,484 for HQACM and $33,460 for weekly PST, representing a difference of $976. The incremental cost per quality-adjusted life year gained with PST once weekly was $5566 (95 % CI, -$11,490 to $25,142). The incremental cost-effectiveness ratio (ICER) was sensitive to testing frequency: weekly PST dominated PST twice weekly and once every 4 weeks. Compared to HQACM, weekly PST was associated with statistically significant and clinically meaningful improvements in quality of life. The ICER for weekly PST versus HQACM was well within accepted standards for cost-effectiveness, and was preferred over more or less frequent PST. These results were robust to sensitivity analyses of key assumptions.<h4>Conclusion</h4>Weekly PST is a cost-effective alternative to monthly HQACM and a preferred testing frequency compared to twice weekly or monthly PST.
Type
Journal article
Subject
writing for the THINRS Executive Committee and Site Investigators
Humans
Warfarin
Anticoagulants
Drug Monitoring
International Normalized Ratio
Self Care
Follow-Up Studies
Prospective Studies
Adult
Aged
Aged, 80 and over
Middle Aged
Ambulatory Care Facilities
Hospitals, Veterans
Home Care Services
Cost-Benefit Analysis
Female
Male
Young Adult
Permalink
https://hdl.handle.net/10161/22816
Published Version (Please cite this version)
10.1007/s11606-016-3700-8
Publication Info
Phibbs, Ciaran S; Love, Sean R; Jacobson, Alan K; Edson, Robert; Su, Pon; Uyeda, Lauren; ... writing for the THINRS Executive Committee and Site Investigators (2016). At-Home Versus In-Clinic INR Monitoring: A Cost-Utility Analysis from The Home INR Study (THINRS). Journal of general internal medicine, 31(9). pp. 1061-1067. 10.1007/s11606-016-3700-8. Retrieved from https://hdl.handle.net/10161/22816.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
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Scholars@Duke

Matchar

David Bruce Matchar

Professor of Medicine
My research relates to clinical practice improvement - from the development of clinical policies to their implementation in real world clinical settings. Most recently my major content focus has been cerebrovascular disease. Other major clinical areas in which I work include the range of disabling neurological conditions, cardiovascular disease, and cancer prevention. Notable features of my work are: (1) reliance on analytic strategies such as meta-analysis, simulation, decision analy
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