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虚拟家庭助手的药物依从性提醒系统:混合方法评估研究

Medication Adherence Reminder System for Virtual Home Assistants: Mixed Methods Evaluation Study.

作者信息

Corbett Cynthia F, Combs Elizabeth M, Chandarana Peyton S, Stringfellow Isabel, Worthy Karen, Nguyen Thien, Wright Pamela J, O'Kane Jason M

机构信息

College of Nursing, University of South Carolina, Columbia, SC, United States.

Center for Advancing Chronic Care Outcomes through Research and Innovation, College of Nursing, University of South Carolina, Columbia, SC, United States.

出版信息

JMIR Form Res. 2021 Jul 13;5(7):e27327. doi: 10.2196/27327.

DOI:10.2196/27327
PMID:34255669
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8317037/
Abstract

BACKGROUND

Medication nonadherence is a global public health challenge that results in suboptimal health outcomes and increases health care costs. Forgetting to take medicines is one of the most common reasons for unintentional medication nonadherence. Research findings indicate that voice-activated virtual home assistants, such as Amazon Echo and Google Home devices, may be useful in promoting medication adherence.

OBJECTIVE

This study aims to create a medication adherence app (skill), MedBuddy, for Amazon Echo devices and measure the use, usability, and usefulness of this medication-taking reminder skill.

METHODS

A single-group, mixed methods, cohort feasibility study was conducted with women who took oral contraceptives (N=25). Participants were undergraduate students (age: mean 21.8 years, SD 6.2) at an urban university in the Southeast United States. Participants were given an Amazon Echo Dot with MedBuddy-a new medication reminder skill for Echo devices created by our team-attached to their study account, which they used for 60 days. Participants self-reported their baseline and poststudy medication adherence. MedBuddy use was objectively evaluated by tracking participants' interactions with MedBuddy through Amazon Alexa. The usability and usefulness of MedBuddy were evaluated through a poststudy interview in which participants responded to both quantitative and qualitative questions.

RESULTS

Participants' interactions with MedBuddy, as tracked through Amazon Alexa, only occurred on half of the study days (mean 50.97, SD 29.5). At study end, participants reported missing their medication less in the past 1 and 6 months compared with baseline (χ=0.9 and χ=0.4, respectively; McNemar test: P<.001 for both). However, there was no significant difference in participants' reported adherence to consistently taking medication within the same 2-hour time frame every day in the past 1 or 6 months at the end of the study compared with baseline (χ=3.5 and χ=0.4, respectively; McNemar test: P=.63 and P=.07, respectively). Overall feedback about usability was positive, and participants provided constructive feedback about the skill's features that could be improved. Participants' evaluation of MedBuddy's usefulness was overwhelmingly positive-most (15/23, 65%) said that they would continue using MedBuddy as a medication reminder if provided with the opportunity and that they would recommend it to others. MedBuddy features that participants enjoyed were an external prompt separate from their phone, the ability to hear the reminder prompt from a separate room, multiple reminders, and verbal responses to prompts.

CONCLUSIONS

The findings of this feasibility study indicate that the MedBuddy medication reminder skill may be useful in promoting medication adherence. However, the skill could benefit from further usability enhancements.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b40/8317037/61f23cff6b9e/formative_v5i7e27327_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b40/8317037/61f23cff6b9e/formative_v5i7e27327_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b40/8317037/61f23cff6b9e/formative_v5i7e27327_fig1.jpg
摘要

背景

药物治疗依从性不佳是一项全球性的公共卫生挑战,会导致健康结果不理想,并增加医疗成本。忘记服药是无意性药物治疗依从性不佳的最常见原因之一。研究结果表明,语音激活的虚拟家庭助手,如亚马逊Echo和谷歌Home设备,可能有助于提高药物治疗依从性。

目的

本研究旨在为亚马逊Echo设备创建一款药物治疗依从性应用程序(技能)MedBuddy,并评估这款服药提醒技能的使用情况、可用性和有用性。

方法

对服用口服避孕药的女性(N = 25)进行了一项单组、混合方法的队列可行性研究。参与者是美国东南部一所城市大学的本科生(年龄:平均21.8岁,标准差6.2)。为参与者提供了一个附带MedBuddy(我们团队为Echo设备创建的一种新的药物提醒技能)的亚马逊Echo Dot,并将其关联到他们的研究账户,他们使用该设备60天。参与者自行报告其基线和研究后的药物治疗依从性。通过亚马逊Alexa跟踪参与者与MedBuddy的交互,客观评估MedBuddy的使用情况。通过研究后的访谈评估MedBuddy的可用性和有用性,参与者在访谈中回答定量和定性问题。

结果

通过亚马逊Alexa跟踪发现,参与者与MedBuddy的交互仅在一半的研究日发生(平均50.97,标准差29.5)。在研究结束时,参与者报告在过去1个月和6个月中忘记服药的情况比基线时有所减少(χ分别为0.9和0.4;McNemar检验:两者P <.001)。然而,在研究结束时,与基线相比,参与者报告在过去1个月或6个月中每天在相同的2小时时间范围内持续服药的依从性没有显著差异(χ分别为3.5和0.4;McNemar检验:P分别为0.63和0.07)。关于可用性的总体反馈是积极的,参与者对该技能可改进的功能提供了建设性反馈。参与者对MedBuddy有用性的评价绝大多数是积极的——大多数人(15/23,65%)表示如果有机会,他们会继续使用MedBuddy作为服药提醒,并且会推荐给其他人。参与者喜欢的MedBuddy功能包括独立于手机的外部提醒、能在单独房间听到提醒提示、多次提醒以及对提示的语音回复。

结论

这项可行性研究的结果表明,MedBuddy服药提醒技能可能有助于提高药物治疗依从性。然而,该技能可从进一步提高可用性中受益。

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本文引用的文献

1
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Int J Environ Res Public Health. 2021 Jan 27;18(3):1113. doi: 10.3390/ijerph18031113.
2
High Blood Pressure Medication Adherence Among Urban, African Americans in the Midwest United States.美国中西部城市中非洲裔美国人的高血压药物治疗依从性。
J Racial Ethn Health Disparities. 2021 Jun;8(3):607-617. doi: 10.1007/s40615-020-00819-2. Epub 2020 Jul 10.
3
Self-Reported Nonadherence Associated with Pharmacy and Home Medication Management Inconvenience Factors in a US Adult Population.
关于老年人语音系统类型的公众意见。
J Rehabil Assist Technol Eng. 2024 Oct 16;11:20556683241287414. doi: 10.1177/20556683241287414. eCollection 2024 Jan-Dec.
4
Cancer-related cognitive impairment in older adults with acute myeloid leukemia treated with hypomethylating agents and venetoclax chemotherapy: a longitudinal descriptive study.老年急性髓系白血病患者接受低甲基化药物和 venetoclax 化疗后与癌症相关的认知障碍:一项纵向描述性研究。
Support Care Cancer. 2024 Jul 3;32(7):485. doi: 10.1007/s00520-024-08673-2.
5
Redefining Virtual Assistants in Health Care: The Future With Large Language Models.重新定义医疗保健中的虚拟助手:大语言模型的未来。
J Med Internet Res. 2024 Jan 19;26:e53225. doi: 10.2196/53225.
6
Convenient Access to Expert-Reviewed Health Information via an Alexa Voice Assistant Skill for Patients With Multiple Myeloma: Development Study.通过适用于多发性骨髓瘤患者的Alexa语音助手技能便捷获取专家评审的健康信息:开发研究
JMIR Cancer. 2022 Jun 9;8(2):e35500. doi: 10.2196/35500.
7
"Hey Siri, Help Me Take Care of My Child": A Feasibility Study With Caregivers of Children With Special Healthcare Needs Using Voice Interaction and Automatic Speech Recognition in Remote Care Management.“嘿 Siri,帮我照顾我的孩子”:一项针对有特殊医疗需求儿童照顾者的可行性研究,使用语音交互和自动语音识别进行远程护理管理。
Front Public Health. 2022 Mar 3;10:849322. doi: 10.3389/fpubh.2022.849322. eCollection 2022.
美国成年人群中自我报告的不依从性与药房及家庭用药管理不便因素的相关性
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4
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Am J Med. 2020 Jun;133(6):690-704.e19. doi: 10.1016/j.amjmed.2019.12.021. Epub 2020 Jan 24.
5
The potential of placing a digital assistant in patients' homes.在患者家中安置数字助理的潜力。
Br J Gen Pract. 2019 Dec 26;70(690):8-9. doi: 10.3399/bjgp20X707273. Print 2020 Jan.
6
Telemedicine interventions for medication adherence in mental illness: A systematic review.远程医疗干预措施在改善精神疾病患者药物依从性中的应用:一项系统性综述。
Gen Hosp Psychiatry. 2020 Jan-Feb;62:28-36. doi: 10.1016/j.genhosppsych.2019.11.004. Epub 2019 Nov 13.
7
Medication management support in diabetes: a systematic assessment of diabetes self-management apps.糖尿病药物管理支持:糖尿病自我管理应用程序的系统评估。
BMC Med. 2019 Jul 17;17(1):127. doi: 10.1186/s12916-019-1362-1.
8
SMART-MEDS: Development of a Medication Adherence App for Acute Coronary Syndrome Patients based on a Gamified Behaviour Change Model.SMART-MEDS:基于游戏化行为改变模型为急性冠状动脉综合征患者开发的药物依从性应用程序。
AMIA Annu Symp Proc. 2018 Dec 5;2018:413-421. eCollection 2018.
9
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10
A Multi-step Usability Evaluation of a Self-Management App to Support Medication Adherence in Persons Living with HIV.多步骤可用性评估一种自我管理应用程序以支持艾滋病毒感染者的药物依从性。
Int J Med Inform. 2019 Feb;122:37-44. doi: 10.1016/j.ijmedinf.2018.11.012. Epub 2018 Dec 3.