Evidence map›Paper›PMID 42298714›Full record

ArticleTrials2026

Design of a mobile application and evaluation of its effects on clinical outcomes in patients with dry eye disease: a study protocol for a randomized controlled trial.

Maryam Edalati Khodabandeh, Razieh Farrahi, Mahdi Sargolzaei, Morteza Mohammadi, Amir Hossein Edalati Khodabandeh, Siamak Zarei-Ghanavati, Saeid Eslami

Abstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2026. 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

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

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

7 authors.

Maryam Edalati KhodabandehDepartment of Medical Informatics, Medical School, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID http://orcid.org/0000-0002-5050-8254
Razieh FarrahiDepartment of Health Information Technology, Ferdows Faculty of Medical Sciences, Birjand University of Medical Sciences, Birjand, Iran.ORCID http://orcid.org/0000-0001-8995-9637
Mahdi SargolzaeiDepartment of Medical Informatics, Medical School, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID http://orcid.org/0000-0001-7493-3071
Morteza MohammadiDepartment of Computer Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
Amir Hossein Edalati KhodabandehDepartment of Computer Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
Siamak Zarei-GhanavatiFellowship in Ocular Surface Diseases, Eye Research Center, Mashhad University of Medical Sciences, Mashhad, Iran. siamakzarei@gmail.com.ORCID http://orcid.org/0000-0002-6534-3632
Saeid EslamiDepartment of Medical Informatics, Medical School, Mashhad University of Medical Sciences, Mashhad, Iran. EslamiS@mums.ac.ir.ORCID http://orcid.org/0000-0003-3755-1212

Funding

Mashhad University of Medical Sciences 981099
6 · The paper itself

Abstract

backgroundDry eye is a common ocular surface disorder resulting from tear deficiency or excess tear evaporation. This protocol will be implemented for a study designed to determine the effectiveness of a mobile self-care application on objective clinical test results and subjective symptoms in patients with dry eye disease.

methodsThe first stage will include the development of a mobile self-care application using the Python framework of Flask technology and SQLite database in the backend, and the Flutter framework of Dart for the bot technology in the front end. The second stage will be conducted using a two-arm blinded randomized clinical trial. The sample size calculation initially targeted 104 patients with dry eye disease, intended for division into intervention and control groups via an online random number generator. However, unforeseen challenges, including COVID-19 disruptions, led to randomization of 181 patients (91 intervention, 90 control).This resulted in 104 completers after a 42.5% dropout rate. Patients in both groups will receive usual medical care, but those in the intervention group will also use a mobile-based application for a period of 12 weeks. Study outcomes including the Tear Break-Up Time clinical test as the primary outcome, and the validated Persian version of the Ocular Surface Disease Index questionnaire as a secondary outcome measure in patients with dry eye disease, will be assessed at 6- and 12-weeks post-baseline. DISCUSSION: It is expected that delivering customized training via a mobile application during clinical visits would promote improvement and reduction of disease severity, as well as strengthen the physician-patient relationship. This study was developed by an interdisciplinary research team in accordance with current dry eye disease guidelines and taking into account the medical history and classification of dry eye disease. Considering the lack of financial resources for traditional self-care methods and the development of technologies based on mobile health, it seems that one can hope for the acceptance of such systems in the patients with dry eyes.

trial registrationThis protocol is registered in the Iranian registration of clinical trial (IRCT) with the code IRCT20200721048162N1. Registered 31 August 2020, URL: https://irct.behdasht.gov.ir/trial/49779 .

Indexed as

Dry Eye SyndromesMobile ApplicationsSelf CareCOVID-19FemaleHumansRandomized Controlled Trials as TopicTearsTelemedicineTreatment OutcomeDry Eye SyndromesEye DiseasesMobile applicationsPatient educationSelf-careTelemedicine

Identifiers

PMID42298714
PMCPMC13501860

What OpenQuestion holds

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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.