ArticleJournal of thrombosis and thrombolysis2019
Patient compliance with an anticoagulation management system based on a smartphone application.
Article in Journal of thrombosis and thrombolysis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Article
- Combining portable coagulometers with the Internet: A new model of warfarin anticoagulation in patients following mechanical heart valve replacement.Frontiers in surgery · 2022Review
- Effectiveness of the Alfalfa App in Warfarin Therapy Management for Patients Undergoing Venous Thrombosis Prevention and Treatment: Cohort Study.JMIR mHealth and uHealth · 2021Observational
- Evaluation of a Pharmacist-Led Remote Warfarin Management Model Using a Smartphone Application (Yixing) in Improving Patients' Knowledge and Outcomes of Anticoagulation Therapy.Frontiers in pharmacology · 2021Article
- [Empowerment for our patients : Innovation in everyday urology].Der Urologe. Ausg. A · 2021Review
- Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
We developed a novel anticoagulation management system (Anticlot Assistant) based on a smartphone application (App). This study was performed to evaluate patient compliance with Anticlot Assistant. This prospective case series study involved patients receiving warfarin therapy. The eligible patients were managed via Anticlot Assistant, and outcome data were analyzed. Thirty patients were recruited. The mean time within the therapeutic range (TTR) was 56.5% ± 26.2% and the mean patient compliance with Anticlot Assistant was 52.7% ± 40.4%. The patients in good compliance group had higher TTR (65.6 ± 25.0% vs. 40.0 ± 21.0%, P = 0.009), lower time in the extremely low range (9.4 ± 10.6% vs. 27.4 ± 13.2%, P = 0.000) and in the extremely high range (1.3 ± 2.8% vs. 14.1 ± 22.3%, P = 0.004) than those in poor compliance group. Logistic regression analysis revealed that receiving an education of > 6 years was the only independent predictor of good compliance (odds ratio 8.400, 95% confidence interval 1.274-55.394, P = 0.027). Patient compliance is critical important for good outcomes and it might increase with improvements in education and more widespread use of information technology. Although further improvement is needed, Anticlot Assistant is promising and this study offered valuable experiences for further research.
Indexed as
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.