A new mobile smartphone application, AF-EduApp, for atrial fibrillation patients: what do they use most?

IF 3.9 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
L. Knaepen, R. Theunis, M. Delesie, J. Vijgen, P. Dendale, L. Desteghe, H. Heidbuchel
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引用次数: 0

Abstract

Abstract Background The management of atrial fibrillation (AF) is complex and based on three main pillars: avoid stroke, better symptom control and cardiovascular risk factor management. Therefore, a holistic, multidisciplinary approach is needed in which the patient has a central role. Smartphone ownership increases strongly in the elderly population (in Belgian 65+ years old: 52% in 2018 to 82% in 2020). This digital growth creates opportunities for a closer patient follow-up. An in-house developed application, AF-EduApp, focused on delivering targeted education and guiding self-care, has been validated and is currently being studied in an ongoing clinical trial. Purpose Intermediate analysis of the user data of AF-EduApp. Methods At two Belgian hospitals, an open, prospective, randomized trial is currently performed. A total of 153 AF patients hospitalized or seen at an out-patient visit were included. Patients could use the application during a follow-up of 12 months. The AF-EduApp consists of six different modules: education, questionnaires with immediate patient feedback, medication overview with reminders, measurements (e.g. blood pressure, heart rate), appointments, and the possibility to ask questions to the caregivers. Knowledge about AF and its treatment was tested through the Jessa Atrial fibrillation Knowledge Questionnaire (JAKQ) with feedback on incorrectly answered questions. The main aim of the AF-EduApp is to improve patients' medication adherence through improved education and medication reminders. Results Currently, a total of 132 patients have completed a follow-up of 12 months (follow-up days: mean 357.3±60.7 and median: 365.5 [350.3–382.0]). The app was used on average 122.5±126.6 days (median: 55.0 [23.3–241.0]), or 34.3% of the available days. As shown in Fig. 1, the measurements and medication modules were the most used module (on 66.1% resp. 55.2% of the days). The education module was the least used module (3.5% of the days); the average education time was 17.0±27.7 min (median: 6.1 [1.4–20.6]). Within the measurement module (mean: 80.9±109.4 days used), the most frequently entered parameter was blood pressure, with on average 208.3±351.3 entries (median: 53.5 [7.0–296.3]) (Fig. 2). AF episodes was the least entered data (average 37.0±185.0 times; median 8.0 [4.0–19.0.3]). Conclusion Patients actively engaged with an educational smartphone AF application on 1/3th of the available days. The measurement module was the most used (to enter health data) together with the medication module (to confirm intake after reminder). It shows that many patients appreciate the mHealth tool to “connect” with their condition. The clinical trial tries to answer whether such increasing interaction leads to improved self-management and outcomes. Funding Acknowledgement Type of funding sources: Private company. Main funding source(s): The AF-EduApp study is supported by an BMS/Pfizer European Thrombosis Investigator Initiated Research Program (ERISTA) grant. Figure 1. Used days per module Figure 2. Times viewed at the parameters
一个新的移动智能手机应用,AF-EduApp,房颤患者:他们最常用的是什么?
背景房颤(AF)的治疗是复杂的,主要基于三个支柱:避免卒中、更好的症状控制和心血管危险因素管理。因此,一个全面的,多学科的方法是需要的,其中病人有中心作用。老年人的智能手机拥有率大幅上升(比利时65岁以上人口:2018年为52%,2020年为82%)。这种数字增长为更密切的患者随访创造了机会。内部开发的应用程序AF-EduApp,专注于提供有针对性的教育和指导自我护理,已经得到验证,目前正在进行临床试验。目的对AF-EduApp用户数据进行中间分析。方法在比利时的两家医院进行了一项开放、前瞻性、随机试验。总共包括153名住院或门诊就诊的房颤患者。患者可以在12个月的随访期间使用该应用程序。AF-EduApp由六个不同的模块组成:教育、带有患者即时反馈的问卷调查、带有提醒的药物概述、测量(如血压、心率)、预约以及向护理人员提问的可能性。通过Jessa心房颤动知识问卷(JAKQ)对房颤及其治疗的知识进行测试,并对错误回答的问题进行反馈。AF-EduApp的主要目的是通过改进教育和药物提醒来提高患者的药物依从性。结果目前共有132例患者完成了12个月的随访(随访天数:平均357.3±60.7天,中位365.5天[350.3-382.0])。该应用程序平均使用122.5±126.6天(中位数:55.0[23.3-241.0]),占可用天数的34.3%。如图1所示,测量模块和药物模块是使用最多的模块(66.1%)。占55.2%)。教育模块是使用最少的模块(3.5%的天数);平均教育时间为17.0±27.7 min(中位数:6.1[1.4-20.6])。在测量模块中(平均:80.9±109.4天),最常输入的参数是血压,平均208.3±351.3次输入(中位数:53.5次[7.0-296.3])(图2)。AF发作是最少输入的数据(平均37.0±185.0次;中位数8.0[4.0-19.0.3])。结论患者在1/3的可用天数中积极参与教育智能手机AF应用程序。使用最多的是计量模块(输入健康数据)和用药模块(提醒后确认服药)。这表明,许多患者都很欣赏移动医疗工具与他们的病情“联系”。临床试验试图回答这种增加的互动是否会改善自我管理和结果。资金来源类型:私营公司。主要资金来源:AF-EduApp研究由BMS/辉瑞欧洲血栓研究者发起的研究计划(ERISTA)资助。图1所示。每个模块使用的天数图2。从参数上看时间
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