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The impact of frequency of patient self-testing of prothrombin time on time in target range within VA Cooperative Study #481: The Home INR Study (THINRS), a randomized, controlled trial.

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Date
2015-07
Authors
Matchar, David B
Love, Sean R
Jacobson, Alan K
Edson, Robert
Uyeda, Lauren
Phibbs, Ciaran S
Dolor, Rowena J
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Abstract
Anticoagulation (AC) is effective in reducing thromboembolic events for individuals with atrial fibrillation (AF) or mechanical heart valve (MHV), but maintaining patients in target range for international normalized ratio (INR) can be difficult. Evidence suggests increasing INR testing frequency can improve time in target range (TTR), but this can be impractical with in-clinic testing. The objective of this study was to test the hypothesis that more frequent patient-self testing (PST) via home monitoring increases TTR. This planned substudy was conducted as part of The Home INR Study, a randomized controlled trial of in-clinic INR testing every 4 weeks versus PST at three different intervals. The setting for this study was 6 VA centers across the United States. 1,029 candidates with AF or MHV were trained and tested for competency using ProTime INR meters; 787 patients were deemed competent and, after second consent, randomized across four arms: high quality AC management (HQACM) in a dedicated clinic, with venous INR testing once every 4 weeks; and telephone monitored PST once every 4 weeks; weekly; and twice weekly. The primary endpoint was TTR at 1-year follow-up. The secondary endpoints were: major bleed, stroke and death, and quality of life. Results showed that TTR increased as testing frequency increased (59.9 ± 16.7 %, 63.3 ± 14.3 %, and 66.8 ± 13.2 % [mean ± SD] for the groups that underwent PST every 4 weeks, weekly and twice weekly, respectively). The proportion of poorly managed patients (i.e., TTR <50 %) was significantly lower for groups that underwent PST versus HQACM, and the proportion decreased as testing frequency increased. Patients and their care providers were unblinded given the nature of PST and HQACM. In conclusion, more frequent PST improved TTR and reduced the proportion of poorly managed patients.
Type
Journal article
Subject
Humans
Drug Monitoring
International Normalized Ratio
Prothrombin Time
Self Care
Follow-Up Studies
Time Factors
United States Department of Veterans Affairs
Aged
Middle Aged
Home Care Services
United States
Female
Male
Permalink
https://hdl.handle.net/10161/22828
Published Version (Please cite this version)
10.1007/s11239-014-1128-8
Publication Info
Matchar, David B; Love, Sean R; Jacobson, Alan K; Edson, Robert; Uyeda, Lauren; Phibbs, Ciaran S; & Dolor, Rowena J (2015). The impact of frequency of patient self-testing of prothrombin time on time in target range within VA Cooperative Study #481: The Home INR Study (THINRS), a randomized, controlled trial. Journal of thrombosis and thrombolysis, 40(1). pp. 17-25. 10.1007/s11239-014-1128-8. Retrieved from https://hdl.handle.net/10161/22828.
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

Dolor

Rowena Joy Dolor

Professor of Medicine
Rowena J. Dolor, MD, MHS did her medical training and internal medicine residency at Duke University Medical Center. She completed the Ambulatory Care/Health Services Research fellowship at the Durham VA Medical Center in 1996 and obtained her Masters in Health Sciences degree in Biometry (renamed MHS in Clinical Research) from the Duke University School of Medicine in 1998. Dr. Dolor was a staff physician in the Ambulatory Care Service at the Durham VA Medical Center and Research Associate at t
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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