Mobile applications for ophthalmology: a quantitative and qualitative analysis

Abstract Objective This study aimed to evaluate the quality of ophthalmology-related mobile health applications (mHealth apps) available in Persian and English across Android and iOS platforms. Method A structured review of apps related to ophthalmology was conducted in four mobile app stores (Cafe Bazaar, Google Play, App Store, Myket) from July 31 to August 15, 2024, using relevant English and Persian keywords. The quality of selected apps was independently assessed by three reviewers using the Mobile App Rating Scale (MARS). Clinical evidence was also searched in PubMed, Scopus, and Google Scholar. Result Out of 4,968 ophthalmology-related apps initially identified, 37 apps met the inclusion criteria for final quality assessment—4 in Persian and 33 in English. According to the MARS scale, the Functionality domain had the highest average score (4.24), followed by Aesthetics (3.70), Engagement (3.22), and Information (3.13). Clinical effectiveness evidence was found for the “WHO eyes” app. The Persian app “چشم یار” achieved the highest average score of 4.42, and the English app “Eye Patient” received the highest average score of 4.83. Conclusion This study demonstrates that the quality of ophthalmology-related apps meets acceptable criteria according to the MARS scale; however, user engagement and the quality of the information provided remain suboptimal. These results highlight the need for improving interactive features, motivational design elements, and evidence-based educational content to enhance the overall effectiveness of ophthalmology-related mHealth apps.

Authors

Institutions

Publication Details

Journal
BMC Health Services Research
Published
2026-07-23
DOI
https://doi.org/10.1186/s12913-026-15199-2
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mobile applications for ophthalmology: a quantitative and qualitative analysis

Azita Yazdani, Kosar Ghaddaripouri, Shahla Faramarzi, Parmida Sanaei et al.
BMC Health Services Research
Mobile Health and mHealth Applications
article

Mobile applications for ophthalmology: a quantitative and qualitative analysis

Azita Yazdani, Kosar Ghaddaripouri, Shahla Faramarzi, Parmida Sanaei, Zahra Zare
article en

Abstract

Abstract Objective This study aimed to evaluate the quality of ophthalmology-related mobile health applications (mHealth apps) available in Persian and English across Android and iOS platforms. Method A structured review of apps related to ophthalmology was conducted in four mobile app stores (Cafe Bazaar, Google Play, App Store, Myket) from July 31 to August 15, 2024, using relevant English and Persian keywords. The quality of selected apps was independently assessed by three reviewers using the Mobile App Rating Scale (MARS). Clinical evidence was also searched in PubMed, Scopus, and Google Scholar. Result Out of 4,968 ophthalmology-related apps initially identified, 37 apps met the inclusion criteria for final quality assessment—4 in Persian and 33 in English. According to the MARS scale, the Functionality domain had the highest average score (4.24), followed by Aesthetics (3.70), Engagement (3.22), and Information (3.13). Clinical effectiveness evidence was found for the “WHO eyes” app. The Persian app “چشم یار” achieved the highest average score of 4.42, and the English app “Eye Patient” received the highest average score of 4.83. Conclusion This study demonstrates that the quality of ophthalmology-related apps meets acceptable criteria according to the MARS scale; however, user engagement and the quality of the information provided remain suboptimal. These results highlight the need for improving interactive features, motivational design elements, and evidence-based educational content to enhance the overall effectiveness of ophthalmology-related mHealth apps.

BMC Health Services Research
Iran University of Medical Sciences (IR), Shiraz University of Medical Sciences (IR)
Quality Education
Openalex Percentile: Top 6%
Mobile Health and mHealth Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Mobile applications for ophthalmology: a quantitative and qualitative analysis — Azita Yazdani, Kosar Ghaddaripouri, et al. · BMC Health Services Research (2026) | TGRS Research Map | TGRS