基于信息上传行为特征的高血压患者血压管理模式分类研究

目的 基于高血压患者在血压管理平台上传血压监测资料的行为特征,将患者的血压管理模式进行分类,进而推出控制高血压的个性化干预措施。方法 采用便利抽样的方法,选取在广东省中山市板芙、横栏、三乡、民众、南头、五桂山共6个镇中已建立高血压档案的高血压患者作为研究对象。免费发放血压计供患者逐日进行血压测量,并将测量数据上传至血压监测系统。根据患者上传血压测量数据的行为特征,使用K-means聚类分析和对应分析对患者行为模式进行分类。结果 根据数据管理平台提取到的1 973例患者血压测量、上传的行为特征信息,将患者分为积极组、消极组、谨慎组、困难组、拒访组,他们在血压管理方面所面临的困难迥异,需制定个性化的干预措施。结论 基于患者血压检测、上传的行为特征,对患者进行分类,能够有效判别各类患者的行为模式,有助于制定个性化的干预策略,以提高后续干预的针对性和有效性。

Categorization for blood pressure management modes among hypertension patients based on characteristics of data-uploading behaviors

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.