数字药丸系统对测量心衰药物治疗依从性的形成性认知:混合方法研究。

Q2 Medicine JMIR Cardio Pub Date : 2024-02-15 DOI:10.2196/48971
Peter R Chai, Jenson J Kaithamattam, Michelle Chung, Jeremiah J Tom, Georgia R Goodman, Mohammad Adrian Hasdianda, Tony Christopher Carnes, Muthiah Vaduganathan, Benjamin M Scirica, Jeffrey L Schnipper
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引用次数: 0

摘要

背景:心力衰竭(HF)影响着 620 万美国人,是住院治疗的主要原因。治疗心力衰竭的主要方法是坚持药物治疗。尽管心力衰竭药物治疗效果显著,但其有效性与坚持治疗密切相关。衡量对心房颤动药物治疗的依从性非常困难;大多数临床措施都采用间接策略,如计算药房续药数据或使用自我报告。虽然间接的依从性测量方法有助于指导治疗调整,但可能会忽略对次优依从性和与不依从性相关的并发结构性障碍的检测。数字药丸系统(DPS)使用可摄入的射频发射器直接实时测量药物摄入量,是高频药物治疗中测量和应对不依从性的一种策略。之前的研究已经证明了使用 DPSs 测量其他慢性疾病患者服药依从性的可行性,但这一策略尚未用于高血脂患者:我们旨在通过定性访谈探讨使用 DPS 技术监测高血压患者药物治疗依从性的促进因素和障碍:我们在 2022 年 4 月至 8 月期间进行了个人半结构化定性访谈和定量评估。共有 20 名在一家城市四级医院普通内科或心脏病科住院的高血压患者参与了这项研究。参与者完成了一项定性访谈,探讨了使用 DPS 技术进行依从性监测的总体可接受性和意愿,以及使用 DPS 的感知障碍。定量评估包括高频病史、现有的药物依从性策略以及对技术的态度。我们使用应用主题分析和 NVivo 软件(QSR International)对定性数据进行了分析:结果:在定性访谈中,大多数参与者(12/20,60%)表示愿意使用 DPS 来衡量高血压药物治疗的依从性。总体而言,DPS 被认为有助于增强责任感和强化依从性行为。认为存在的障碍包括技术问题、缺乏需求、额外成本和隐私问题。大多数人愿意与医疗服务提供者共享依从性数据,以加强临床护理和决策。检测到不坚持用药后的提醒信息被认为是一项关键功能,并且希望能够定制。建议的改进主要涉及阅读器(一种可穿戴设备)的设计和可用性:总的来说,高血脂患者认为 DPS 是一种可接受的、有用的测量服药依从性的工具。准确、实时的摄入数据可以指导依从性咨询,优化依从性管理,并为量身定制的行为干预提供信息,以支持高血压患者的依从性。
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Formative Perceptions of a Digital Pill System to Measure Adherence to Heart Failure Pharmacotherapy: Mixed Methods Study.

Background: Heart failure (HF) affects 6.2 million Americans and is a leading cause of hospitalization. The mainstay of the management of HF is adherence to pharmacotherapy. Despite the effectiveness of HF pharmacotherapy, effectiveness is closely linked to adherence. Measuring adherence to HF pharmacotherapy is difficult; most clinical measures use indirect strategies such as calculating pharmacy refill data or using self-report. While helpful in guiding treatment adjustments, indirect measures of adherence may miss the detection of suboptimal adherence and co-occurring structural barriers associated with nonadherence. Digital pill systems (DPSs), which use an ingestible radiofrequency emitter to directly measure medication ingestions in real-time, represent a strategy for measuring and responding to nonadherence in the context of HF pharmacotherapy. Previous work has demonstrated the feasibility of using DPSs to measure adherence in other chronic diseases, but this strategy has yet to be leveraged for individuals with HF.

Objective: We aim to explore through qualitative interviews the facilitators and barriers to using DPS technology to monitor pharmacotherapy adherence among patients with HF.

Methods: We conducted individual, semistructured qualitative interviews and quantitative assessments between April and August 2022. A total of 20 patients with HF who were admitted to the general medical or cardiology service at an urban quaternary care hospital participated in this study. Participants completed a qualitative interview exploring the overall acceptability of and willingness to use DPS technology for adherence monitoring and perceived barriers to DPS use. Quantitative assessments evaluated HF history, existing medication adherence strategies, and attitudes toward technology. We analyzed qualitative data using applied thematic analysis and NVivo software (QSR International).

Results: Most participants (12/20, 60%) in qualitative interviews reported a willingness to use the DPS to measure HF medication adherence. Overall, the DPS was viewed as useful for increasing accountability and reinforcing adherence behaviors. Perceived barriers included technological issues, a lack of need, additional costs, and privacy concerns. Most were open to sharing adherence data with providers to bolster clinical care and decision-making. Reminder messages following detected nonadherence were perceived as a key feature, and customization was desired. Suggested improvements are primarily related to the design and usability of the Reader (a wearable device).

Conclusions: Overall, individuals with HF perceived the DPS to be an acceptable and useful tool for measuring medication adherence. Accurate, real-time ingestion data can guide adherence counseling to optimize adherence management and inform tailored behavioral interventions to support adherence among patients with HF.

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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
期刊最新文献
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