Evidence map›Paper›PMID 40417574›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2024

Voice-Activated Self-Monitoring Application (VoiS): Perspectives from People with Diabetes and Hypertension.

Hyunkyoung Oh, Li Yang, Tala Abu Zahra, Masud Rabbani, Shiyu Tian, Adib Ahmed Anik, Paramita Basak Upama, Min Sook Park, Jake Luo, Evelyn Chan and 2 more

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Voice-Activated Self-Monitoring Application (VoiS): User Acceptance and Satisfaction in the Field.Proceedings : Annual International Computer Software and Applications Conference. COMPSAC · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Hyunkyoung OhSchool of Nursing, University of Wisconsin-Milwaukee (UWM), Milwaukee, WI, USA.
Li YangSchool of Information Studies, UWM.
Tala Abu ZahraSchool of Nursing, University of Wisconsin-Milwaukee (UWM), Milwaukee, WI, USA.
Masud RabbaniUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI.
Shiyu TianUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI.
Adib Ahmed AnikUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI.
Paramita Basak UpamaUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI.
Min Sook ParkSchool of Information, Florida State University, Tallahassee, FL.
Jake LuoCollege of Engineering & Applied Science, UWM.
Evelyn ChanMedical College of Wisconsin, Wauwatosa, WI.
Jeff WhittleMedical College of Wisconsin, Wauwatosa, WI.
Sheikh Iqbal AhamedUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI.

Funding

Self-Monitoring Support Application for Adults with Diabetes and HypertensionR21NR019707 · NINR · UNIVERSITY OF WISCONSIN MILWAUKEE · PI OH, HYUNKYOUNG · 2021 to 2022
$441k
NINR NIH HHS R21 NR019707
6 · The paper itself

Abstract

This paper describes the development and usability test processes of the voice-activated self-monitoring (VoiS) application. VoiS is an innovative, theory-driven mobile app on a smart speaker platform that supports routine and convenient self-monitoring of blood pressures, glucose levels, and health behaviors by people with coexisting diabetes and hypertension. It improves the quality of their communication with healthcare providers. The prototype of VoiS includes voice interaction with Amazon Alexa and data representation using smartphones (iOS and Android). Fourteen people with coexisting diabetes and hypertension participated in usability testing. After completing a range of tasks individually, testers participated in group interviews. We used a survey based on the Technology Acceptance Model to measure the ease of use and perceived usefulness of VoiS. All interviews were recorded and transcribed, and then common themes were extracted. Participants found VoiS to be easy to use and useful.

Indexed as

Diabetes MellitusHypertensionMobile ApplicationsSelf CareAgedBlood Glucose Self-MonitoringFemaleHumansMaleMiddle AgedSmartphone

Identifiers

PMID40417574
PMCPMC12099394

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.