Evidence map›Paper›PMID 36779178›Full record

ArticleInformatics in medicine unlocked2023

The role of e-health on the public knowledge and behavior in preventing COVID-19.

Zahra Galavi, Reza Khajouei, Yones Jahani

Abstract read
In one paragraph

Article in Informatics in medicine unlocked, 2023. 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
–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

2 citing papers in PubMed.

  1. Article
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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

3 authors.

Zahra GalaviStudents Research Committee, Department of Health Information Sciences, Faculty of Management and Medical Information Sciences, Kerman University of Medical Sciences, Kerman, Iran.
Reza KhajoueiDepartment of Health Information Sciences, Faculty of Management and Medical Information Sciences, Kerman University of Medical Sciences, Kerman, Iran.
Yones JahaniDepartment of Biostatistics and Epidemiology, School of Public Health, Kerman University of Medical Sciences, Kerman, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Electronic health (e-health) technologies play an important role in improving public knowledge and behavior to control the COVID-19 pandemic. The present study aimed to investigate the role of e-health on the public knowledge and behavior in preventing COVID-19 in Kerman, a city in Iran. Methods: The present descriptive cross-sectional study used an online survey in Kerman in November 2021. The research instrument was a tripartite questionnaire that included demographic information, the level of respondents' knowledge about COVID-19, the extent of change in respondents' behavior influenced by e-health. Negative binomial regression analysis was run to test the relationship between individual characteristics and the research variables with knowledge and behavior. Spearman correlation test was used to measure the correlation between the two main parts of the survey. Results: As the negative binomial regression analysis results showed, the relationship between no demographic variable and the public knowledge and behavior was statistically significant (p < 0.001). The mean knowledge and behavior scores were 5.84 ± 2.55 and 11.95 ± 5.09, respectively, showing that people who used e-health had a high level of knowledge, and taking preventive measures was at a high level. The Spearman correlation coefficient test results showed a positive association between knowledge and behavior (r = 0.71). Conclusion: E-health played a decisive role in increasing knowledge and improving behavior in preventing COVID-19. The results of our research can encourage the use of e-health to improve the public knowledge and behavior in pandemics such as COVID-19.

Indexed as

Behavior changeCOVID-19E-healthKnowledge

Identifiers

PMID36779178
PMCPMC9902341

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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.