Abstract: Objective To categorize blood pressure management modes of hypertension patients based on the behavioral characteristics of uploading blood pressure data on the electronic monitoring platform, and to develop individual interventions for hypertension control. Methods Using the convenience sampling method, hypertension patients who had established hypertension archives were selected from 6 towns of Banfu, Henglan, Sanxiang, Minzong, Nantou, and Wuguishan in Zhongshan City, Guangdong Province. Patients were provided with a sphygmomanometer for free to measure and upload their daily blood pressure data to the electronic monitoring systems every day. K-means cluster analysis and correspondence analysis were used to group patients based on the behavioral characteristics of uploading these data. Results According to the blood pressure measurement and uploaded behavior characteristic information of 1 973 patients extracted from the electronic monitoring platform, the patients were divided into active group, negative group, caution group, difficult group, and refusal group, which indicated that patients in different groups possess their difficulties during the management for hypertension, and interventional strategies should be customized according to this sort of difference. Conclusion Classification of patients based on their blood pressure measurement and uploaded behavior characteristics can effectively identify the behavior patterns of various patients, and help to formulate personalized intervention strategies to improve the pertinence and effectiveness of follow-up interventions.

Key words: Hypertension, Individuation, Intervention, Monitor, Internet based