Evidence map›Paper›PMID 40607191›Full record

ArticleFrontiers in digital health2025

Beyond the interface: benchmarking pediatric mobile health applications for monitoring child growth using the Mobile App Rating Scale.

Anggi Septia Irawan, Arie Dwi Alristina, Rizky Dzariyani Laili, Nuke Amalia, Arief Purnama Muharram, Adriana Viola Miranda, Bence Döbrössy, Edmond Girasek

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

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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

8 authors.

Anggi Septia IrawanInstitute of Behavioral Sciences, Semmelweis University, Budapest, Hungary.
Arie Dwi AlristinaHealth Sciences Division, Doctoral College, Semmelweis University, Budapest, Hungary.
Rizky Dzariyani LailiSekolah Tinggi Ilmu Kesehatan Hang Tuah, Surabaya, Indonesia.
Nuke AmaliaSafety and Health Engineering Study Program, Politeknik Perkapalan Negeri, Surabaya, Indonesia.
Arief Purnama MuharramHealthAI Indonesia, Jakarta, Indonesia.
Adriana Viola Miranda1000 Days Fund, Denpasar, Indonesia.
Bence DöbrössyInstitute of Behavioral Sciences, Semmelweis University, Budapest, Hungary.
Edmond GirasekInstitute of Behavioral Sciences, Semmelweis University, Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: As mHealth applications become increasingly adopted in Indonesia, it is crucial to assess their quality and usability for parents and healthcare professionals. Aim: This study evaluated the quality of pediatric-related mobile health (mHealth) applications available in Indonesia, focusing on their ability to support child growth monitoring and provide educational resources for parents and caregivers. Methodology: This is a cross-sectional study. From December 1, 2024, and January 31, 2025 we conducted systematic search for pediatric mHealth applications in Indonesian Google Play Store and Apple App Store using predetermined keywords. Inclusion criteria required the applications to be available in Bahasa Indonesia, focus on child health, and include growth tracking or stunting prevention features. We excluded applications that were not functioning during the testing period. Quality assessment was conducted by five healthcare professionals using the Mobile App Rating Scale (MARS). MARS assessed applications from multiple domains, including engagement, functionality, aesthetics, and information quality. Inter-rater reliability was ensured using the Intraclass Correlation Coefficient (ICC). The results were analyzed using descriptive statistics, Pearson's correlation, and T-tests. A Findings: Nine applications were included in this study. Seven of the applications (77.78%) focused on tracking child growth and development and providing educational content. Less than half of the apps had built-in community features that enabled social support ( Conclusion: This research underscored the need for the development of higher-quality, evidence-based mHealth apps for pediatric care in Indonesia, particularly in improving user engagement, feedback mechanisms and accessibility.

Indexed as

assessmentdigital healthe-healthpediatric carestunting preventionuser experience (UX)user interface (UI)

Identifiers

PMID40607191
PMCPMC12213656

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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.