Evidence map›Paper›PMID 31899453›Full record

ArticleJMIR mHealth and uHealth2020

Making Self-Management Mobile Health Apps Accessible to People With Disabilities: Qualitative Single-Subject Study.

Leming Zhou, Andi Saptono, I Made Agus Setiawan, Bambang Parmanto

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

10 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Review
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  4. Development and Evaluation of a Persian-Language Self-Management Mobile Application for People With Spinal Cord Injury.Health expectations : an international journal of public participation in health care and health policy · 2025
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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 2 countries.

Leming ZhouDepartment of Health Information Management, University of Pittsburgh, Pittsburgh, PA, United States.ORCID 0000-0003-4398-0267
Andi SaptonoDepartment of Health Information Management, University of Pittsburgh, Pittsburgh, PA, United States.ORCID 0000-0002-0933-8150
I Made Agus SetiawanDepartment of Health Information Management, University of Pittsburgh, Pittsburgh, PA, United States.ORCID 0000-0001-8383-8471
Bambang ParmantoDepartment of Health Information Management, University of Pittsburgh, Pittsburgh, PA, United States.ORCID 0000-0002-4907-8402
University of Pittsburgh · USUdayana University · ID

Funding

Harvard Prevention Research Center on Nutrition and Phy*U48DP000064 · DP · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI GORTMAKER, STEVEN L · 2004 to 2009
$4.5M
NCCDPHP CDC HHS U48 DP000064
6 · The paper itself

Abstract

backgroundOver the past decade, a large number of mobile health (mHealth) apps have been created to help individuals to better manage their own health. However, very few of these mHealth apps were specifically designed for people with disabilities, and only a few of them have been assessed for accessibility for people with disabilities. As a result, people with disabilities have difficulties using many of these mHealth apps.

objectiveThe objective of this study was to identify an approach that can be generally applied to improve the accessibility of mHealth apps.

methodsWe recruited 5 study participants with a primary diagnosis of cerebral palsy or spinal cord injury. All the participants had fine motor impairment or lack of dexterity, and hence, they had difficulties using some mHealth apps. These 5 study participants were first asked to use multiple modules in the client app of a novel mHealth system (iMHere 2.0), during which their performance was observed. Interviews were conducted post use to collect study participants' desired accessibility features. These accessibility features were then implemented into the iMHere 2.0 client app as customizable options. The 5 participants were asked to use the same modules in the app again, and their performance was compared with that in the first round. A brief interview and a questionnaire were then performed at the end of the study to collect the 5 participants' comments and impression of the iMHere 2.0 app in general and of the customizable accessibility features.

resultsStudy results indicate that the study participants on their first use of the iMHere 2.0 client app experienced various levels of difficulty consistent with the severity of their lack of dexterity. Their performance was improved after their desired accessibility features were added into the app, and they liked the customizable accessibility features. These participants also expressed an interest in using this mHealth system for their health self-management tasks.

conclusionsThe accessibility features identified in this study improved the accessibility of the mHealth app for people with dexterity issues. Our approach for improving mHealth app accessibility may also be applied to other mHealth apps to make those apps accessible to people with disabilities.

Indexed as

Mobile ApplicationsMotor SkillsPersons with DisabilitiesSelf-ManagementFemaleHumansMaleQualitative ResearchTelemedicineUser-Computer Interfaceaccessibilitymobile apppersonalizationself-management

Identifiers

PMID31899453
PMCPMC6969387
OpenAlexW2997662434

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.