Bartlett Ellis Rebecca J, Hill James H, Kerley K Denise, Sinha Arjun, Ganci Aaron, Russell Cynthia L
Science of Nursing Care Department, Indiana University School of Nursing, Indianapolis, IN, United States.
Department of Computer & Information Science, Purdue School of Science, Indiana University-Purdue University, Indianapolis, IN, United States.
JMIR Form Res. 2019 Jun 25;3(2):e13558. doi: 10.2196/13558.
BACKGROUND: As many as 50% of people experience medication nonadherence, yet studies for detecting nonadherence and delivering real-time interventions to improve adherence are lacking. Mobile health (mHealth) technologies show promise to track and support medication adherence. OBJECTIVE: The study aimed to evaluate the feasibility and acceptability of using an mHealth system for medication adherence tracking and intervention delivery. The mHealth system comprises a smart button device to self-track medication taking, a companion smartphone app, a computer algorithm used to determine adherence and then deliver a standard or tailored SMS (short message service) text message on the basis of timing of medication taking. Standard SMS text messages indicated that the smartphone app registered the button press, whereas tailored SMS text messages encouraged habit formation and systems thinking on the basis of the timing the medications were taken. METHODS: A convenience sample of 5 adults with chronic kidney disease (CKD), who were prescribed antihypertensive medication, participated in a 52-day longitudinal study. The study was conducted in 3 phases, with a standard SMS text message sent in phases 1 (study days 1-14) and 3 (study days 46-52) and tailored SMS text messages sent during phase 2 (study days 15-45) in response to participant medication self-tracking. Medication adherence was measured using: (1) the smart button and (2) electronic medication monitoring caps. Concordance between these 2 methods was evaluated using percentage of measurements made on the same day and occurring within ±5 min of one another. Acceptability was evaluated using qualitative feedback from participants. RESULTS: A total of 5 patients with CKD, stages 1-4, were enrolled in the study, with the majority being men (60%), white (80%), and Hispanic/Latino (40%) of middle age (52.6 years, SD 22.49; range 20-70). The mHealth system was successfully initiated in the clinic setting for all enrolled participants. Of the expected 260 data points, 36.5% (n=95) were recorded with the smart button and 76.2% (n=198) with electronic monitoring. Concordant events (n=94), in which events were recorded with both the smart button and electronic monitoring, occurred 47% of the time and 58% of these events occurred within ±5 min of one another. Participant comments suggested SMS text messages were encouraging. CONCLUSIONS: It was feasible to recruit participants in the clinic setting for an mHealth study, and our system was successfully initiated for all enrolled participants. The smart button is an innovative way to self-report adherence data, including date and timing of medication taking, which were not previously available from measures that rely on recall of adherence. Although the selected smart button had poor concordance with electronic monitoring caps, participants were willing to use it to self-track medication adherence, and they found the mHealth system acceptable to use in most cases.
背景:多达50%的人存在用药依从性差的问题,但目前缺乏用于检测不依从性并提供实时干预以提高依从性的研究。移动健康(mHealth)技术有望用于跟踪和支持用药依从性。 目的:本研究旨在评估使用mHealth系统进行用药依从性跟踪和干预的可行性及可接受性。该mHealth系统包括一个用于自我跟踪服药情况的智能按钮设备、一款配套的智能手机应用程序、一种计算机算法,该算法用于确定依从性,并根据服药时间发送标准或定制的短信(短消息服务)文本信息。标准短信文本信息表明智能手机应用程序已记录按钮按下操作,而定制短信文本信息则基于服药时间鼓励习惯养成和系统思考。 方法:选取5名患有慢性肾脏病(CKD)且正在服用抗高血压药物的成年患者作为便利样本,参与一项为期52天的纵向研究。研究分三个阶段进行,在第1阶段(研究第1 - 14天)和第3阶段(研究第46 - 52天)发送标准短信文本信息,在第2阶段(研究第15 - 45天)根据参与者的用药自我跟踪情况发送定制短信文本信息。用药依从性通过以下方式测量:(1)智能按钮;(2)电子药物监测帽。使用同一天进行测量且测量时间相差±5分钟内的测量次数百分比来评估这两种方法之间的一致性。通过参与者的定性反馈评估可接受性。 结果:共有5名1 - 4期CKD患者参与了本研究,其中大多数为男性(60%)、白人(80%)、中年西班牙裔/拉丁裔(40%)(52.6岁,标准差22.49;范围20 - 70岁)。mHealth系统在临床环境中针对所有纳入研究的参与者均成功启动。在预期的260个数据点中,智能按钮记录了36.5%(n = 95),电子监测记录了76.2%(n = 198)。智能按钮和电子监测均记录事件的一致事件(n = 94)发生的时间占47%,其中58%的此类事件发生时间相差±5分钟内。参与者的评论表明短信文本信息具有鼓励作用。 结论:在临床环境中招募参与者进行mHealth研究是可行的,并且我们的系统针对所有纳入研究的参与者均成功启动。智能按钮是一种创新的自我报告依从性数据的方式,包括服药日期和时间,这是以前依赖依从性回忆的测量方法所无法提供的。尽管所选智能按钮与电子监测帽的一致性较差,但参与者愿意使用它来自我跟踪用药依从性,并且他们发现mHealth系统在大多数情况下是可以接受的。
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