优化Care4Today数字健康平台,增强冠状动脉或外周动脉疾病患者服药依从性和健康经历的自我报告:混合方法研究

Q2 Medicine
JMIR Cardio Pub Date : 2025-03-17 DOI:10.2196/56053
Stephanie Juan, Ante Harxhi, Simrati Kaul, Breeana Woods, Monica Tran, Gabrielle Geonnotti, Archit Gupta, Emily Dean, Cassandra E Saunders, Gloria Payne
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引用次数: 0

摘要

背景:Care4Today是强生公司开发的数字健康平台,包括患者移动应用程序(Care4Today Connect)、医疗保健提供者(HCP)门户网站和教育网站。它旨在提高药物依从性;使人们能够自我报告健康经历;提供患者教育;加强与医护人员的联系;并促进跨疾病领域的数据和分析学习,包括心血管疾病。目的:本研究旨在收集患者对Care4Today Connect的反馈,特别是冠状动脉疾病(CAD)和外周动脉疾病(PAD)模块,并与患者共同创建和验证功能,以优化CAD, PAD或两者兼有的应用程序体验。方法:我们于2022年11月至2023年5月进行了3项研究。参与者是美国的成年人,通过赞助商的患者参与研究委员会项目招募并同意。参与者自我报告心血管疾病的诊断,在某些情况下,特别是CAD, PAD,或两者兼而有之。第一部分是网络调查,针对现有应用功能提出李克特量表的定量问题。第二部分是虚拟焦点小组,第三部分是虚拟个人访谈,这两部分都使用了半结构化定性讨论来共同创造和验证新的应用增强功能。对第一部分的定量数据进行描述性评估,对移动健康应用程序的使用情况、使用应用程序的能力的信心以及使用应用程序的动机进行分类。我们综合了第2部分和第3部分的定性讨论,以了解参与者的应用需求和偏好,从而提供最佳的应用体验。结果:第一部分网络调查的回复率为67%(37/55)。大多数参与者在看到新添加的应用程序教程后,至少对使用应用程序有一定的信心(33/ 37,89%),并且至少对自己通过使用应用程序指导完成活动获得积分的能力有一定的信心(33/ 37,89%)。在第2部分,虚拟焦点小组(n=3)和第3部分,虚拟个人访谈(n=8)中,参与者集体倾向于通过(1)自动添加药物数据进行跟踪的能力和(2)接收相关护理团队对他们自我报告的健康体验的反馈的能力来增强应用程序。参与者愿意每天花10-15分钟跟踪4-5个健康经历,特别是他们的HCP要求的那些。结论:参与者更喜欢能够减轻用户负担并提供与他们相关信息的应用。Care4Today Connect可以优化CAD、PAD或两者患者的用户体验,通过自动添加药物数据进行跟踪,并在应用程序内对患者自我报告的健康体验进行护理团队反馈。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of the Care4Today Digital Health Platform to Enhance Self-Reporting of Medication Adherence and Health Experiences in Patients With Coronary or Peripheral Artery Disease: Mixed Methods Study.

Background: Care4Today is a digital health platform developed by Johnson & Johnson comprising a patient mobile app (Care4Today Connect), a health care provider (HCP) portal, and an educational website. It aims to improve medication adherence; enable self-reporting of health experiences; provide patient education; enhance connection with HCPs; and facilitate data and analytics learning across disease areas, including cardiovascular disease.

Objective: This study aimed to gather patient feedback on Care4Today Connect, specifically the coronary artery disease (CAD) and peripheral artery disease (PAD) module, and to cocreate and validate features with patients to optimize the app experience for those with CAD, PAD, or both.

Methods: We conducted 3 research engagements between November 2022 and May 2023. Participants were US-based adults recruited and consented through the sponsor's Patient Engagement Research Council program. Participants self-reported a diagnosis of cardiovascular disease, and in some cases, specifically, CAD, PAD, or both. Part 1, internet survey, posed quantitative questions with Likert-scale answer options about existing app features. Part 2, virtual focus group, and part 3, virtual individual interviews, both used semistructured qualitative discussion to cocreate and validate new app enhancements. The quantitative data from part 1 was evaluated descriptively to categorize mobile health app use, confidence in the ability to use the app, and motivations for app use. The qualitative discussions from parts 2 and 3 were synthesized to understand participants' app needs and preferences to inform an optimal app experience.

Results: The response rate for part 1, internet survey, was 67% (37/55). Most participants felt at least somewhat confident using the app after seeing the newly added app tutorial (33/37, 89%), and at least somewhat confident in their ability to earn points for completing activities using app instructions (33/37, 89%). In part 2, virtual focus group (n=3), and part 3, virtual individual interviews (n=8), participants collectively preferred to enhance the app with (1) the ability to automatically add medication data for tracking and (2) the ability to receive relevant care team feedback on their self-reported health experiences. Participants would be willing to spend 10-15 minutes a day tracking 4-5 health experiences, especially those requested by their HCP.

Conclusions: Participants prefer apps that can reduce user burden and provide information relevant to them. Care4Today Connect can optimize the user experience for patients with CAD, PAD, or both with the automatic addition of medication data for tracking and in-app care team feedback on patient self-reported health experiences.

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来源期刊
JMIR Cardio
JMIR Cardio Computer Science-Computer Science Applications
CiteScore
3.50
自引率
0.00%
发文量
25
审稿时长
12 weeks
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