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

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

JMIR Form Res

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

Published: July 2021

AI Article Synopsis

  • Medication nonadherence is a significant global issue that leads to poor health outcomes and higher healthcare costs, often due to forgetfulness.
  • The study created MedBuddy, a medication reminder app for Amazon Echo devices, to assess its effectiveness in helping users remember to take their medication.
  • Results showed that while participants interacted with MedBuddy on about half of the study days, they reported fewer instances of missing medications over time, though there was no significant improvement in taking medication consistently at the same time daily.

Article 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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8317037PMC
http://dx.doi.org/10.2196/27327DOI Listing

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