Evidence map›Paper›PMID 40512533›Full record

ArticleJMIR medical education2025

Health Workers' Perspectives on Mobile Health Care Learning Stickiness: Mixed Methods Study.

Sabila Nurwardani, Putu Wuri Handayani

Abstract read
In one paragraph

Article in JMIR medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Sabila Nurwardani *Faculty of Computer Science University of Indonesia, Depok, Indonesia.ORCID 0009-0003-8963-4623
Putu Wuri Handayani *Faculty of Computer Science University of Indonesia, Depok, Indonesia.ORCID 0000-0001-5341-3800

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDoctor-to-Doctor (D2D) is a mobile learning app that aims to support continuous learning in health care, commonly known as continuing medical education. One of the metrics of success in mobile learning is the average amount of time spent each month on the app, which is a component of stickiness, the tendency of users to use apps repeatedly. Stickiness metrics are important because stickiness has a direct effect on user retention.

objectiveThis study aimed to determine the factors influencing user stickiness of the D2D mobile learning app. The research framework was based on the stimulus-organism-response theory.

methodsThis study used a mixed methods approach, including a web-based questionnaire (quantitative data) and interviews (qualitative data). We recruited 520 health worker respondents, including general practitioners, dentists, specialists, and medical students, as users of the D2D app. Quantitative data processing was conducted using covariance-based structural equation modeling, whereas qualitative analysis was conducted on the data from 15 respondents using the content analysis method.

resultsOn the basis of the web-based questionnaire (quantitative) results, we found that cognitive (P=.01) and emotional (P=.004) app relationship quality affected health workers' stickiness in mobile learning. On the other hand, factors related to the functionality of the app and health workers' experience were proven to affect cognitive and emotional app relationship quality (P<.005). In addition, according to interview (qualitative) data, the performance of apps for mobile learning is influenced by information quality and information processing speed, which are needed to deliver a more efficient learning process and reduce the possibility of misunderstanding in the interpretation of learning materials. The user experience is influenced by gamification factors to make the learning process more fun, especially for medical students who do not have to obtain professional credit units (referred to as satuan kredit profesional in Indonesia), unlike physicians or specialists.

conclusionsThe results of this study will help mobile learning service providers increase user stickiness in mobile learning, for example, through processing speed, the quality of the information presented, security features, personalized content recommendations, and gamification.

Indexed as

Attitude of Health PersonnelEducation, Medical, ContinuingHealth PersonnelMobile ApplicationsAdultFemaleHumansMaleMiddle AgedQualitative ResearchSurveys and QuestionnairesTelemedicinehealth workermobile health care learningmobile learningstickiness

Identifiers

PMID40512533
PMCPMC12205261

What OpenQuestion holds

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LicenceCC BY
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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.