Evidence map›Paper›PMID 30145317›Full record

ArticleJournal of biomedical informatics2018

A multi-level usability evaluation of mobile health applications: A case study.

Hwayoung Cho, Po-Yin Yen, Dawn Dowding, Jacqueline A Merrill, Rebecca Schnall

Abstract readMulticenter Study
In one paragraph

Article in Journal of biomedical informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
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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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

5 authors.

Hwayoung ChoSchool of Nursing, Columbia University, New York, NY 10032, United States. Electronic address: hc2787@columbia.edu.
Po-Yin YenInstitute for Informatics, Washington University School of Medicine in St. Louis, St. Louis, MO 63108, United States; Goldfarb School of Nursing, BJC HealthCare, St. Louis, MO 63108, United States.
Dawn DowdingDivision of Nursing, Midwifery and Social Work, University of Manchester, Manchester, United Kingdom.
Jacqueline A MerrillSchool of Nursing, Columbia University, New York, NY 10032, United States; Department of Biomedical Informatics, Columbia University, New York, NY 10032, United States.
Rebecca SchnallSchool of Nursing, Columbia University, New York, NY 10032, United States.

Funding

Use of mHealth Technology for Supporting Symptom Management in Underserved Persons Living with HIVR21HS023963 · AHRQ · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SCHNALL, REBECCA · 2015 to 2016
$298k
AHRQ HHS R21 HS023963
6 · The paper itself

Abstract

objectiveTo report a methodological approach for the development of a usable mHealth application (app). MATERIALS AND

methodsThis work was guided by a 3-level stratified view of health information technology (IT) usability evaluation framework. We first describe a number of methodologies for operationalizing each level of the framework. Following the description of each methodology, we present a case study which illustrates the use of our preferred methodologies for the development of a mHealth app. At level 1 (user-task), we applied a card sorting technique to guide the information architecture of a mobile HIV symptom self-management app, entitled mVIP. At level 2 (user-task-system), we conducted a usability evaluation of mVIP in a laboratory setting through end-user usability testing and heuristic evaluation with informatics experts. At level 3 (user-task-system-environment), usability of mVIP was evaluated in a real-world setting following the use of the app during a 3-month trial.

resultsThe 3-level usability evaluation guided our work exploring in-depth interactions between the user, task, system, and environment. Integral to the findings from the 3-level usability evaluation, we iteratively refined the app's content, functionality, and interface to meet the needs of our intended end-users. DISCUSSION AND

conclusionThe stratified view of the health IT usability evaluation framework is a useful methodological approach for the design, development, and evaluation of mHealth apps. The methodological recommendations for using the theoretical framework can inform future usability studies of mHealth apps.

Indexed as

Mobile ApplicationsPatient ParticipationAcademic Medical CentersAlgorithmsEvidence-Based MedicineHealth PromotionHIV InfectionsHumansMedical InformaticsNew York CityProgram DevelopmentReproducibility of ResultsTelemedicineUser-Computer InterfaceCase studyHealth information technologyInformation systemsMobile applicationsMobile HealthUsability evaluation

Identifiers

PMID30145317
PMCPMC6448568

What OpenQuestion holds

Textmetadata
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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.