Evaluation of the algorithm of Anticlot Assistant: an anticoagulant management system based on mobile health technology.

The purpose is to evaluate the algorithm of Anticlot Assistant, a novel anticoagulant management system based on mobile health technology which was developed to facilitate patient self-management. The eligible patients managed warfarin therapy with usual care, following the prescriptions of the doctors. The actual prescriptions of doctors and the virtual recommendations by Anticlot Assistant were compared and analyzed. There were no significant differences between the next test dates recommended by Anticlot Assistant and those prescribed by doctors. The mean warfarin dosage prescribed by doctors was lower than that recommended by Anticlot Assistant (2.74 ±â€Š1.17 vs. 2.79 ±â€Š1.21 mg, 95% confidence interval for the difference: -0.01--0.09, P = 0.019, n = 139), resulting in the international normalized ratio a high time below the therapeutic range (TTR) (29.9 ±â€Š17.9%), and a low time above TTR [0.0% (0.0-18.7%)]. A mixed linear model revealed that 'the variations of the dosages prescribed by doctors from those recommended by Anticlot Assistant' were positively correlated with 'variations of next international normalized ratios from TTR' after controlling for other factors (estimate of the effect = 0.231, 95% confidence interval: 0.034-0.428, P = 0.022). Anticlot Assistant can mimic the doctors' prescriptions for the next test date and the warfarin dosages recommended by Anticlot Assistant might be more reasonable than those prescribed by doctors, which indicated that the algorithm was reliable and it was possible for the patients to manage warfarin therapy themselves with the aid of Anticlot Assistant.

Patient compliance with an anticoagulation management system based on a smartphone application.

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.