Evidence map›Paper›PMID 37397719›Full record

ArticleFrontiers in public health2023

Knowledge, attitude, and perception regarding COVID-19-related prevention practice among residents in Vietnam: a cross-sectional study.

Thoa Le, Trang T B Le, Le Van Truong, Mai Ngoc Luu, Nguyen Tran Minh Duc, Abdelrahman M Makram, Truong Van Dat, Nguyen Tien Huy

Abstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Thoa Le *University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam.
Trang T B Le *University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam.
Le Van TruongTraditional Medicine Hospital of Ministry of Public Security, Hanoi, Vietnam.
Mai Ngoc LuuDepartment of Internal Medicine, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam.
Nguyen Tran Minh DucFaculty of Medicine, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam.
Abdelrahman M MakramSchool of Public Health, Imperial College London, London, United Kingdom.
Truong Van DatUniversity of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam.
Nguyen Tien HuySchool of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Vietnam was one of the countries pursuing the goal of "Zero-COVID" and had effectively achieved it in the first three waves of the pandemic. However, the spread of the Delta variant was outbreak first in Vietnam in late April 2021, in which Ho Chi Minh City was the worst affected. This study surveyed the public's knowledge, attitude, perception, and practice (KAPP) toward COVID-19 during the rapid rise course of the outbreak in Ho Chi Minh City. Methods: This cross-sectional survey was conducted from 30th September to 16th November 2021, involving 963 residents across the city. We asked residents a series of 21 questions. The response rate was 76.6%. We set Results: The residents' KAPP scores were 68.67% ± 17.16, 77.33% ± 18.71, 74.7% ± 26.25, and 72.31% ± 31, respectively. KAPP scores of the medical staff were higher than the non-medical group. Our study showed positive, medium-strong Pearson correlations between knowledge and practice ( Conclusion: In addition to the government's directives and policies, citizens' knowledge, attitude, perception, and practice are considered one of the critical preventive measures during the COVID-19 pandemic. The results affirmed the good internal relationship among K, A, P, and P scores creating a hierarchy of healthcare educational goals and health behavior among residents.

Indexed as

COVID-19Cross-Sectional StudiesHealth Knowledge, Attitudes, PracticeHumansPandemicsPerceptionSARS-CoV-2VietnamattitudeCOVID-19knowledgeperceptionpracticeVietnam

Identifiers

PMID37397719
PMCPMC10309564

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LicenceCC BY
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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.