Evidence map›Paper›PMID 34255669›Full record

ArticleJMIR formative research2021

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

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

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 15 citations in OpenAlex.

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  8. Public opinion on types of voice systems for older adults.Journal of rehabilitation and assistive technologies engineering
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Cynthia F CorbettCollege of Nursing, University of South Carolina, Columbia, SC, United States.ORCID 0000-0003-2706-2116
Elizabeth M CombsCollege of Nursing, University of South Carolina, Columbia, SC, United States.ORCID 0000-0002-2254-6958
Peyton S ChandaranaCenter for Advancing Chronic Care Outcomes through Research and Innovation, College of Nursing, University of South Carolina, Columbia, SC, United States.ORCID 0000-0002-8945-8653
Isabel StringfellowCenter for Advancing Chronic Care Outcomes through Research and Innovation, College of Nursing, University of South Carolina, Columbia, SC, United States.ORCID 0000-0003-3534-9635
Karen WorthyCollege of Nursing, University of South Carolina, Columbia, SC, United States.ORCID 0000-0002-6018-8004
Thien NguyenCollege of Nursing, University of South Carolina, Columbia, SC, United States.ORCID 0000-0002-7887-0722
Pamela J WrightCollege of Nursing, University of South Carolina, Columbia, SC, United States.ORCID 0000-0003-3889-3636
Jason M O'KaneCenter for Advancing Chronic Care Outcomes through Research and Innovation, College of Nursing, University of South Carolina, Columbia, SC, United States.ORCID 0000-0002-1536-4822
University of South Carolina · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedication 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.

objectiveThis 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.

methodsA 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.

resultsParticipants' 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

conclusionsThe 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.

Indexed as

device usabilitydigital healthEcho devicehealth care costsmedicationmedication adherencemobile phonepublic healthvirtual assistantvirtual home assistants

Identifiers

PMID34255669
PMCPMC8317037
OpenAlexW3166612255

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.