Chai Peter R, Kaithamattam Jenson J, Chung Michelle, Tom Jeremiah J, Goodman Georgia R, Hasdianda Mohammad Adrian, Carnes Tony Christopher, Vaduganathan Muthiah, Scirica Benjamin M, Schnipper Jeffrey L
Department of Emergency Medicine, Brigham and Women's Hospital, Boston, MA, United States.
Department of Psychosocial Oncology and Palliative Care, Dana Farber Cancer Institute, Boston, MA, United States.
JMIR Cardio. 2024 Feb 15;8:e48971. doi: 10.2196/48971.
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.
We aim to explore through qualitative interviews the facilitators and barriers to using DPS technology to monitor pharmacotherapy adherence among patients with HF.
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).
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).
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.
心力衰竭(HF)影响着620万美国人,是住院治疗的主要原因。HF管理的主要支柱是坚持药物治疗。尽管HF药物治疗有效,但其有效性与依从性密切相关。测量HF药物治疗的依从性很困难;大多数临床测量采用间接策略,如计算药房配药数据或使用自我报告。虽然有助于指导治疗调整,但依从性的间接测量可能会遗漏对次优依从性以及与不依从相关的同时出现的结构性障碍的检测。数字药丸系统(DPSs)利用可摄入的射频发射器实时直接测量药物摄入情况,是一种在HF药物治疗背景下测量和应对不依从性的策略。先前的研究已经证明了使用DPSs测量其他慢性病依从性的可行性,但这种策略尚未应用于HF患者。
我们旨在通过定性访谈探索使用DPS技术监测HF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名入住一家城市四级护理医院普通内科或心内科的HF患者参与了本研究。参与者完成了一次定性访谈,探讨使用DPS技术进行依从性监测的总体可接受性和意愿以及对使用DPS的感知障碍。定量评估评估了HF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)分析定性数据。
在定性访谈中,大多数参与者(12/20,60%)表示愿意使用DPS测量HF药物治疗的依从性。总体而言,DPS被认为有助于提高责任感并强化依从行为。感知到的障碍包括技术问题、缺乏需求、额外成本和隐私担忧。大多数人愿意与医疗服务提供者分享依从性数据,以加强临床护理和决策。检测到不依从后发送的提醒信息被认为是一个关键特征,并且希望能够定制。建议的改进主要与读取器(一种可穿戴设备)的设计和可用性有关。
总体而言,HF患者认为DPS是一种可接受且有用的测量药物治疗依从性的工具。准确的实时摄入数据可以指导依从性咨询,以优化依从性管理,并为支持HF患者依从性的量身定制的行为干预提供信息。