Evidence map›Paper›PMID 34537686›Full record

ArticleInternational journal of medical informatics2021

Investigating the effective factors of using mHealth apps for monitoring COVID-19 symptoms and contact tracing: A survey among Iranian citizens.

Rezvan Rahimi, Batoul Khoundabi, Akram Fathian

Open access · greenAbstract read
In one paragraph

Article in International journal of medical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
6.0field-weighted citation impact, top 4% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
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  3. Article
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  5. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 1 country.

Rezvan RahimiDepartment of Medical Informatics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
Batoul KhoundabiIran Helal Institute of Applied-Science and Technology, Tehran, Iran; Research Center for Health Management in Mass Gathering, Red Crescent Society of the Islamic Republic of Iran, Tehran, Iran.
Akram FathianDepartment of Management and Health Information Technology, School of Management and Medical Information Sciences, Isfahan University of Medical Sciences, Isfahan, Iran. Electronic address: fathian@sbmu.ac.ir.
Isfahan University of Medical Sciences · IRTarbiat Modares University · IRUniversity of Applied Science and Technology · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe use of mHealth applications depends on cognitive and social factors of individuals in different nations. This study aimed to identify the factors influencing the use of mHealth applications for both "contact-tracing" and "symptom-monitoring" of COVID-19 among Iranian citizens.

methodsA cross-sectional study with an online survey was conducted among Iranian citizens. Correlation calculation and multiple linear regression analysis were performed on the studied variables to find the effective factors.

resultsA total of 1031 Iranian citizens over the age of 18 participated in this survey. A large percentage of the participants wanted to use the mHealth app to trace contacts of COVID-19 (74.5%) and the mHealth app to identify and monitor COVID-19 symptoms (74.0%). Gender, age, level of education, attitude towards technology, and fear of COVID-19 were among the factors that influenced the intention to use these two apps. The top reasons for using these apps were: "to keep myself and my family safe", "to control the spread of the coronavirus in general", and "to cooperate with healthcare professionals". The reasons given for not using these two apps were related to the issues of "security and privacy" and "doubt in efficiency and usefulness" of them.

conclusionsThe study showed that many participants in this survey were interested in using the COVID-19 apps. Policies, regulations and procedures are needed to protect the privacy of individuals by ensuring data governance. Further investigation with a larger sample is suggested to generalize these results.

Indexed as

COVID-19TelemedicineAdultContact TracingCross-Sectional StudiesHumansIranMiddle AgedSARS-CoV-2Contact-tracing AppCOVID-19Digital healtheHealthmHealth AppsTelecommunicationsTelemedicine

Identifiers

PMID34537686
PMCPMC8425635
OpenAlexW3198836631

What OpenQuestion holds

Textmetadata
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.