Evidence map›Paper›PMID 32538796›Full record

ArticleJournal of medical Internet research2020

Usability of a Consumer Health Informatics Tool Following Completion of a Clinical Trial: Focus Group Study.

Hwayoung Cho, Tiffany Porras, Gabriella Flynn, Rebecca Schnall

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03182738 (Video Information Provider for HIV-Associated Non-AIDS), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 13% 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.

NCT03182738 nacompletednot on this map

Video Information Provider for HIV-Associated Non-AIDS (VIP-HANA) Symptoms

TypeinterventionalSponsorColumbia UniversityRan2016 to 2019Enrolled100ConditionsHIV (Human Immunodeficiency Virus), AIDS (Acquired Immunodeficiency Syndrome)ArmsVIP app without HIV-related symptom strategies., VIP app that delivers HIV-related symptom strategies.
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. 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

4 authors at 2 institutions in 1 country.

Hwayoung ChoCollege of Nursing, University of Florida, Gainesville, FL, United States.ORCID 0000-0002-6023-5309
Tiffany PorrasSchool of Nursing, Columbia University, New York, NY, United States.ORCID 0000-0003-1720-4088
Gabriella FlynnSchool of Nursing, Columbia University, New York, NY, United States.ORCID 0000-0002-1567-5970
Rebecca SchnallSchool of Nursing, Columbia University, New York, NY, United States.ORCID 0000-0003-2184-4045
Columbia University · USUniversity of Florida · US

Funding

Video Information Provider for HIV-Associated Non-AIDS (VIP-HANA) SymptomsR01NR015737 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SCHNALL, REBECCA · 2015 to 2019
$2.8M
Mentoring and Research in Self-Management for Health Promotion and Disease PreventionK24NR018621 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SCHNALL, REBECCA · 2019 to 2022
$384k
NINR NIH HHS K24 NR018621NINR NIH HHS R01 NR015737
6 · The paper itself

Abstract

backgroundMobile health (mHealth) apps have the potential to be effective tools for encouraging patients with chronic diseases to self-manage their health. The success of mHealth apps is related to technology acceptance and its subsequent use by intended consumers. Therefore, it is essential to gain insights from consumers' perspectives about their use of mHealth apps in daily life.

objectiveThe purpose of this work was to understand consumers' perspectives on use of a self-management app following completion of a clinical trial that tested the efficacy of the app for improving health outcomes.

methodsWe conducted five focus groups with paricipants of a clinical trial (NCT03182738) who were randomized to use the video information provider (VIP) for HIV-associated nonAIDS (HANA) conditions app (VIP-HANA) or an attention control app. Thematic analysis was conducted, and the themes were organized according to the two key constructs of the technology acceptance model framework: perceived usefulness and perceived ease of use.

resultsThirty-nine people living with HIV (20 from the intervention group and 19 from the control group) participated in the focus group sessions. Of the eight themes identified from focus group data, the five themes related to perceived usefulness were: (1) self-monitoring HIV-related symptoms of HANA conditions, (2) enhanced relationship with clinical providers, (3) improvement in physical and emotional health, (4) long-term impact of self-care strategies on improvement in symptoms of HANA conditions, and (5) inspired lifestyle changes to manage symptoms. The three themes related to perceived ease of use were: (1) easy to navigate, (2) avatar personalization, and (3) privacy/confidentiality maintained even when changing the location of app use.

conclusionsPerceived ease of use was similar in both study groups but perceived usefulness differed between study groups. Participants in both study groups found the VIP-HANA app to be useful in monitoring their symptoms and enhancing communication with their clinical care providers. However, only intervention group participants perceived the app to be useful in improving overall health and long-term symptom management. Findings from this study highlight factors that are essential to ensure the usefulness of self-management apps and facilitate sustained use of mHealth apps for people living with chronic illnesses.

Indexed as

Consumer Health InformaticsFocus GroupsHumansTelemedicineclinical trialconsumer health informatics toolHANA conditionsHIV/AIDSHIV-associated nonAIDS (HANA)mobile appsmobile Healthself-managementsymptom care

Identifiers

PMID32538796
PMCPMC7325002
OpenAlexW3019122092

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.