Evidence map›Paper›PMID 38057860›Full record

ArticleBMC medical informatics and decision making2023

Design, development and evaluation of a mobile-based self-care application for patients with COVID-19 not requiring hospitalization; a study of Northwest of Iran.

Mohammad Heydari, Esmaeil Mehraeen, Elham Javaherikiyan, Nahid Mehrabi, Mostafa Langarizadeh, Vahideh Aghamohammadi, Hamed Rezakhani Moghaddam, Khadijeh Nasiri

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.7field-weighted citation impact, top 13% of its field
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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
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 at 4 institutions in 1 country.

Mohammad HeydariDepartment of Health Information Technology, Khalkhal University of Medical Sciences, Khalkhal, Iran. heydari.mohammad12@yahoo.com.
Esmaeil MehraeenDepartment of Health Information Technology, Khalkhal University of Medical Sciences, Khalkhal, Iran.
Elham JavaherikiyanHealth Information Technology, Social Security Organization, Tehran, Iran.
Nahid MehrabiDepartment of Health Information Technology, Aja University of Medical Sciences, Tehran, Iran.
Mostafa LangarizadehDepartment of health information management, School of health management and information sciences, Iran university of medical sciences, Tehran, Iran.
Vahideh AghamohammadiDepartment of Nutrition, Khalkhal University of Medical Sciences, Khalkhal, Iran.
Hamed Rezakhani MoghaddamDepartment of Public Health, Khalkhal University of Medical Sciences, Khalkhal, Iran.
Khadijeh NasiriDepartment of Nursing, Khalkhal University of Medical Sciences, Khalkhal, Iran. khadije.nasiri@yahoo.com.
Lorestan University of Medical Sciences · IRAja University of Medical Sciences · IRIran University of Medical Sciences · IRTorbat Heydarieh University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGiven the effective role of a mobile applications in disease management, disease monitoring, and self-care in patients with COVID-19 disease, we aimed to design, development and evaluation of a self-care Mobile app for COVID-19 patients not requiring hospitalization.

methodsThe design, development and evaluation the usability of the self-care and education mobile app for patients with COVID-19 disease were conducted in two main phases at 2021 in Northwest of IRAN; (1) Determine the features and capabilities and (2) Design, development and evaluation of self-care mobile App. JAVA programming languages and Android Operating System were used and selected to design and development of a mobile app. There were 25 participants who conducted evaluations of the mobile app's usability and impact using the mobile health app usability a Questionnaire of User Interface Satisfaction was administered to assess the usability of the developed application. The results were analyzed via Excel 2013.

resultsThe model of developing a mobile app as an Information System was the Waterfall model. The smartphone application based on a set of capabilities and features was designed and consists of two main parts: the login screen for user registration, and the main home menu. The user interface includes three main pages or activities; (a) Main Menu for quick access to all of the pages, (b) Symptom management and monitoring to monitor the signs and symptoms during the illness, and (c) Set Reminders and Alarms to notify patients. The users' mean score of the application usability was calculated as 7.91 out of 9 indicating a good level of satisfaction.

conclusionThis app can be a guideline and a useful tools for managing and monitoring symptoms, reminding medications, and implementing self-care instructions in outpatients. The authors suggest evaluating the efficacy and functionality test of mobile-based applications for COVID-19 in clinical trial studies.

Indexed as

COVID-19Mobile ApplicationsHospitalizationHumansIranSelf CareCOVID-19EvaluationMobile appMobile-healthSelf-care

Identifiers

PMID38057860
PMCPMC10698913
OpenAlexW4389398091

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.