Evidence map›Paper›PMID 36054441›Full record

ArticleJMIR formative research2022

Development of a Mobile App for Self-Care Against COVID-19 Using the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) Model: Methodological Study.

Hamid Reza Saeidnia, Marcin Kozak, Marcel Ausloos, Claudiu Herteliu, Zahra Mohammadzadeh, Ali Ghorbi, Mehrdad Karajizadeh, Mohammad Hassanzadeh

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Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Hamid Reza Saeidnia *Department of Knowledge and Information Science, Tarbiat Modares University, Tehran, Iran.ORCID https://orcid.org/0000-0001-5430-2416
Marcin Kozak *Department of Media, Journalism and Social Communication, University of Information Technology and Management in Rzeszow, Rzeszow, Poland.ORCID https://orcid.org/0000-0001-9653-3108
Marcel Ausloos *School of Business, University of Leicester, Brookfield, Leicester, United Kingdom.ORCID https://orcid.org/0000-0001-9973-0019
Claudiu HerteliuDepartment of Statistics and Econometrics, Bucharest University of Economic Studies, Bucharest, Romania.ORCID https://orcid.org/0000-0001-8860-9547
Zahra Mohammadzadeh *Department of Health Information Management and Technology, School of Allied Medical Sciences, Kashan University of Medical Sciences, Kashan, Iran.ORCID https://orcid.org/0000-0002-5753-4818
Ali GhorbiDepartment of Knowledge and Information Science, University of Tehran, Tehran, Iran.ORCID https://orcid.org/0000-0003-1411-575X
Mehrdad KarajizadehTrauma Research Center, Shahid Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, Fars, Iran.ORCID https://orcid.org/0000-0002-9297-3488
Mohammad Hassanzadeh *Department of Knowledge and Information Science, Tarbiat Modares University, Tehran, Iran.ORCID https://orcid.org/0000-0002-6175-0855

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobile apps have been shown to play an important role in the management, care, and prevention of infectious diseases. Thus, skills for self-care-one of the most effective ways to prevent illness-can be improved through mobile health apps.

objectiveThis study aimed to design, develop, and evaluate an educational mobile-based self-care app in order to help the self-prevention of COVID-19 in underdeveloped countries. We intended the app to be easy to use, quick, and inexpensive.

methodsIn 2020 and 2021, we conducted a methodological study. Using the ADDIE (analysis, design, development, implementation, and evaluation) educational model, we developed a self-care management mobile app. According to the ADDIE model, an effective training and performance support tool is built through the 5 phases that comprise its name. There were 27 participants who conducted 2 evaluations of the mobile app's usability and impact using the mobile health app usability and self-care inventory scales. The study design included pre- and posttesting.

resultsAn Android app called MyShield was developed. The results of pre- and posttests showed that on a scale from 0 to 5, MyShield scored a performance average of 4.17 in the physical health dimension and an average of 3.88 in the mental well-being dimension, thereby showing positive effects on self-care skills. MyShield scored highly on the "interface and satisfaction," "ease of use," and "usefulness" components.

conclusionsMyShield facilitates learning self-care skills at home, even during quarantine, increasing acquisition of information. Given its low development cost and the ADDIE educational design on which it is based, the app can be helpful in underdeveloped countries. Thus, low-income countries-often lacking other tools-can use the app as an effective tool for fighting COVID-19, if it becomes a standard mobile app recommended by the government.

Indexed as

ADDIE modelCOVID-19mobile appself-careunderdeveloped countries

Identifiers

PMID36054441
PMCPMC9472509

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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.