Evidence map›Paper›PMID 27418347›Full record

ArticleJournal of general internal medicine2016

Usability of Commercially Available Mobile Applications for Diverse Patients.

Urmimala Sarkar, Gato I Gourley, Courtney R Lyles, Lina Tieu, Cassidy Clarity, Lisa Newmark, Karandeep Singh, David W Bates

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04564209 (Information Visualizations to Facilitate Clinician-patient Communication in HIV Care), which is not on this map. Cited by 137 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
137citing papers in PubMed, 7 pooled it
51.2field-weighted citation impact, top 1% 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.

NCT04564209 nacompletednot on this mapstarted 2021, after this paper: background citation

Information Visualizations to Facilitate Clinician-patient Communication in HIV Care (Info Viz: HIV)

TypeinterventionalSponsorUniversity of Colorado, DenverRan2021 to 2023Enrolled164ConditionsHIV, Communication ResearchArmsInfo Viz for Health
3 · Its place in the literature

Who cites it

137 citing papers in PubMed, 7 syntheses or guidelines pooled it, 274 citations in OpenAlex.

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  15. A Smartphone App to Facilitate Remote Patient-Provider Communication in Hearing Health Care: Usability and Effect on Hearing Aid Outcomes.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2020
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77 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 1 country.

Urmimala SarkarCenter for Vulnerable Populations at San Francisco General Hospital, University of California, San Francisco, CA, USA. Urmimala.Sarkar@ucsf.edu.
Gato I GourleyCenter for Vulnerable Populations at San Francisco General Hospital, University of California, San Francisco, CA, USA.
Courtney R LylesCenter for Vulnerable Populations at San Francisco General Hospital, University of California, San Francisco, CA, USA.
Lina TieuCenter for Vulnerable Populations at San Francisco General Hospital, University of California, San Francisco, CA, USA.
Cassidy ClarityCenter for Vulnerable Populations at San Francisco General Hospital, University of California, San Francisco, CA, USA.
Lisa NewmarkInformation Systems, Partners HealthCare System, Wellesley, MA, USA.
Karandeep SinghDepartment of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, USA.
David W BatesDivision of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, USA.
University of California, San Francisco · USSan Francisco General Hospital · USHarvard University · USMass General Brigham · USUniversity of Michigan–Ann Arbor · US

Funding

Engaging Diverse Patients in Using an Online Patient PortalR00HS022408 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LYLES, COURTNEY REES · 2015 to 2017
$740k
AHRQ HHS R00 HS022408
6 · The paper itself

Abstract

backgroundMobile applications or 'apps' intended to help people manage their health and chronic conditions are widespread and gaining in popularity. However, little is known about their acceptability and usability for low-income, racially/ethnically diverse populations who experience a disproportionate burden of chronic disease and its complications.

objectiveThe objective of this study was to investigate the usability of existing mobile health applications ("apps") for diabetes, depression, and caregiving, in order to facilitate development and tailoring of patient-facing apps for diverse populations.

designUsability testing, a mixed-methods approach that includes interviewing and direct observation of participant technology use, was conducted with participants (n = 9 caregivers; n = 10 patients with depression; and n = 10 patients with diabetes) on a total of 11 of the most popular health apps (four diabetes apps, four depression apps, and three caregiver apps) on both iPad and Android tablets.

participantsThe participants were diverse: 15 (58 %) African Americans, seven (27 %) Whites, two (8 %) Asians, two (8 %) Latinos with either diabetes, depression, or who were caregivers. MAIN MEASURES: Participants were given condition-specific tasks, such as entering a blood glucose value into a diabetes app. Participant interviews were video recorded and were coded using standard methods to evaluate attempts and completions of tasks. We performed inductive coding of participant comments to identify emergent themes. KEY

resultsParticipants completed 79 of 185 (43 %) tasks across 11 apps without assistance. Three themes emerged from participant comments: lack of confidence with technology, frustration with design features and navigation, and interest in having technology to support their self-management.

conclusionsApp developers should employ participatory design strategies in order to have an impact on chronic conditions such as diabetes and depression that disproportionately affect vulnerable populations. While patients express interest in using technologies for self-management, current tools are not consistently usable for diverse patients.

Indexed as

AdultCaregiversCell PhoneDepressionDiabetes MellitusFemaleHealth Services Needs and DemandHumansMaleMiddle AgedMobile ApplicationsSelf CareTelemedicineUser-Computer InterfaceVulnerable Populationschronic diseasescomputershandheldinformaticspatient engagement

Identifiers

PMID27418347
PMCPMC5130945
OpenAlexW2474131044

What OpenQuestion holds

Textmetadata
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.