Evidence map›Paper›PMID 35573610›Full record

ArticleJournal of education and health promotion2022

Persian mobile health applications for COVID-19: A use case-based study.

Rasool Nouri, Raheleh Salari, Sharareh R Niakan Kalhori, Seyed Mohammad Ayyoubzadeh, Marsa Gholamzadeh

Open access · goldAbstract read
In one paragraph

Article in Journal of education and health promotion, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 24% of its field
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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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors at 4 institutions in 3 countries.

Rasool NouriDepartment of Medical Library and Information Sciences, Health Information Technology Research Center, School of Management and Medical Information Sciences, University of Medical Sciences, Isfahan, Iran.
Raheleh SalariDepartment of Ophthalmology, Poostchi Ophthalmology Research Center, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Sharareh R Niakan KalhoriResearch Fellow and Guest Scientists, Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover, Germany.
Seyed Mohammad AyyoubzadehDepartment of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Science, Tehran, Iran.
Marsa GholamzadehDepartment of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Science, Tehran, Iran.
University of Tehran · IRIsfahan University of Medical Sciences · IRShiraz University of Medical Sciences · IRTehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince the beginning of the COVID-19 outbreak, a significant number of mobile health apps have been created around the world and in Iran to help consequence reduction of this emerging pandemic.

objectivesThis study aimed to review the characteristics of Persian Android and iOS apps related to COVID-19 and determine their use-cases based on a reference model.

methodsThis was a cross-sectional descriptive study conducted in three main steps. First, a systematic search was conducted via Iranian mobile apps' markets using the keywords related to COVID-19 in January 2021. Then, the retrieved apps were analyzed according to their characteristics. Finally, the use-cases of the given apps were determined and categorized based on a reference model.

resultsBased on our inclusion criteria, 122 apps were selected and evaluated. Most of these apps (87.7%) was free. Small proportions (5%) of reviewed apps have been developed with participation of clinical expert and half of the apps mentioned the references they used. Furthermore, about half of the apps (50.8%) were provided contact information of the developers. The studied apps were classified into four use-case major categories, including educational (98%), fulfilling a contextual need (18%), communicating, and/or sharing the information (0.83%), and health-related management (2%).

conclusionThe results showed that the Persian mobile apps for COVID-19 are not in a satisfying situation. Furthermore, although these apps are significant in quantity but in terms of use-cases, they are not widespread.

Indexed as

CoronavirusCOVID-19mHealthmobile-healthuse-case

Identifiers

PMID35573610
PMCPMC9093665
OpenAlexW4285741764

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.