Evidence map›Paper›PMID 37594979›Full record

ArticlePloS one2023

RETRACTED: Determinants of correct knowledge on tuberculosis transmission and self-reported tuberculosis prevalence among general population aged 15-49 years in Myanmar.

Pyae Linn Aung, Kyawt Mon Win, Htet Myet Win Maung, Kyaw Lwin Show

RetractedAbstract readRetracted Publication
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Pyae Linn AungMahidol Vivax Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Kyawt Mon WinIndependent Researcher, Yangon, Myanmar.
Htet Myet Win MaungIndependent Researcher, Yangon, Myanmar.
Kyaw Lwin ShowDepartment of Medical Research, Ministry of Health, Yangon, Myanmar.ORCID 0000-0001-9349-5134

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMyanmar has been identified as one of the tuberculosis (TB) high-burden countries and having an understanding of TB transmission is vital for personal infection prevention as well as preventing transmission to others. This study aimed to identify the determinants of correct knowledge on TB transmission and self-reported TB prevalence among general population in Myanmar.

methodsThis is a cross-sectional study using secondary data from Myanmar demographic and health survey 2015-16. The determinants of correct knowledge on TB transmission mode and self-reported prevalence of TB were assessed using multivariable logistic regression models. Weighted estimates were provided in all analyses to account for the multistage sampling design used in the survey.

resultsAmong the respondents, less than half (44.6%, 95% CI: 43.9, 45.4) had the overall correct knowledge about TB transmission and misconceptions. Older age group, female gender, those with higher education and higher socioeconomic status, and exposed to mass media at least once a week, residents from the delta and lowland region or plain areas were more likely to have correct knowledge about TB transmission. The overall prevalence rate of self-reported TB was 2.6% (95%CI: 2.4, 2.9) and the prevalence was higher among older age group and males.

conclusionOur study highlights the need for targeted efforts to improve awareness and understanding of TB transmission among general population in Myanmar. The study suggests the implementation of appropriate, innovative, and comprehensive targeted TB education and communication strategies.

Indexed as

TuberculosisAgedCross-Sectional StudiesFemaleHumansMaleMyanmarPrevalenceSelf Report

Identifiers

PMID37594979
PMCPMC10437864

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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.