Suppr超能文献

使用电子个人健康记录改善药物依从性和患者参与度:非瓣膜性心房颤动患者的一项随机研究。

The Use of Electronic Personal Health Records to Improve Medication Adherence and Patient Engagement: A Randomized Study of Non-valvular Atrial Fibrillation Patients.

作者信息

Chen Yu-Chieh, Roebuck Amelia E, Sami Areej, Ersin Özlem H, Mirro Michael J

机构信息

Department of Pharmacy, China Medical University Hospital, Taichung, Taiwan.

Parkview Research Center, Parkview Health System, Fort Wayne, IN.

出版信息

J Innov Card Rhythm Manag. 2017 Aug 15;8(8):2804-2813. doi: 10.19102/icrm.2017.080803. eCollection 2017 Aug.

Abstract

Embolic stroke is a major complication of atrial fibrillation (AF) that frequently results in disability or death. The administration of oral anticoagulation can reduce stroke risk in AF patients; however, medication non-adherence can eliminate this benefit. To date, reported patient adherence rates to oral anticoagulation regimens vary. The objective of the current study was to examine the impact of medication-specific education delivered via a personal health record (PHR) system on medication adherence. A randomized, prospective study was conducted from February 2014 to June 2014 at Parkview Health, a not-for-profit, community-based health care clinic that serves a northeastern Indiana population of more than 820,000. AF patients receiving dabigatran (Pradaxa; Boehringer Ingelheim GmbH, Ingelheim am Rhein, Germany) to prevent stroke participated in this study. The study participants were predominantly Caucasian males over 65 years of age who were educated, insured, and living above the poverty level. Patients were allowed to view online, download, and transmit health information via a PHR. The intervention group received PHR training and dabigatran education via the PHR. The control group received standard care and PHR access without training. A longitudinal survey pertaining to medication knowledge, medication adherence, and patient engagement was administered at baseline and at the end of the study. Medication-dispensing data collected from pharmacy refill prescriptions were used for calculating the medication possession ratio (MPR). Ninety patients were included in this study, and were randomly assigned to either the intervention group (n = 46) or the control group (n = 44). All participants completed the baseline survey, and 95.6% of patients finished the follow-up survey. The mean score for knowledge increased significantly in the intervention group (from 3.77 to 4.23, p = 0.005), but not in the control group (from 3.70 to 3.95, p = 0.72). The MPR was significantly higher in the intervention group (97.47% vs. 87.67%, p = 0.001). Both groups had similar levels of improvement in Patient Activation Measure scores (from 63.0 to 65.8, p = 0.078 vs. from 63.1 to 63.6, p = 0.814). Patients who used the PHR achieved greater medication knowledge, resulting in improved medication adherence. To our knowledge, no published randomized trial has reported on the use of PHRs to improve medication adherence and knowledge. This study is the first to demonstrate a positive impact on anticoagulation adherence with PHR use.

摘要

栓塞性中风是心房颤动(AF)的主要并发症,常导致残疾或死亡。口服抗凝药的使用可降低AF患者的中风风险;然而,药物治疗的不依从性会抵消这一益处。迄今为止,报道的患者口服抗凝治疗方案的依从率各不相同。本研究的目的是检验通过个人健康记录(PHR)系统提供的特定药物教育对药物依从性的影响。2014年2月至2014年6月,在帕克维尤健康中心进行了一项随机、前瞻性研究,该中心是一家非营利性的社区医疗诊所,服务于印第安纳州东北部超过82万人口。接受达比加群(Pradaxa;勃林格殷格翰公司,德国莱茵河畔英格尔海姆)预防中风的AF患者参与了本研究。研究参与者主要是65岁以上的白人男性,他们受过教育、有保险且生活在贫困线以上。患者可以通过PHR在线查看、下载和传输健康信息。干预组通过PHR接受PHR培训和达比加群教育。对照组接受标准护理并可使用PHR但未接受培训。在基线和研究结束时进行了一项关于药物知识、药物依从性和患者参与度的纵向调查。从药房补充处方收集的药物配药数据用于计算药物持有率(MPR)。本研究纳入了90名患者,随机分为干预组(n = 46)或对照组(n = 44)。所有参与者均完成了基线调查,95.6%的患者完成了随访调查。干预组的知识平均得分显著提高(从3.77提高到4.23,p = 0.005),而对照组未显著提高(从3.70提高到3.95,p = 0.72)。干预组的MPR显著更高(97.47%对87.67%,p = 0.001)。两组在患者激活量表得分上的改善水平相似(从63.0提高到65.8,p = 0.078;而从63.1提高到63.6,p = 0.814)。使用PHR的患者获得了更多的药物知识,从而提高了药物依从性。据我们所知,尚无已发表的随机试验报道使用PHR来提高药物依从性和知识水平。本研究首次证明了使用PHR对抗凝治疗依从性有积极影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b218/7252939/5ef67745987b/icrm-08-2804-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验