Evidence map›Paper›PMID 39695475›Full record

ArticleBMC infectious diseases2024

Factors affecting tuberculosis (TB) prevention behaviors among household contacts in Phitsanulok Province, northern Thailand: implications for TB prevention strategy plan.

Thanyarat Wongchana, Archin Songthap

Abstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Thanyarat WongchanaDepartment of Community Health, Faculty of Public Health, Naresuan University, 99 Village 9, Thapho Subdistrict, Muang District, Phitsanulok, 65000, Phitsanulok Province, Thailand.ORCID http://orcid.org/0009-0006-9124-9128
Archin SongthapDepartment of Community Health, Faculty of Public Health, Naresuan University, 99 Village 9, Thapho Subdistrict, Muang District, Phitsanulok, 65000, Phitsanulok Province, Thailand. archins@nu.ac.th.ORCID http://orcid.org/0000-0003-1987-0973

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPulmonary tuberculosis can spread by airborne transmission when an infected person coughs, sneezes and speaks via expectorates. Therefore, household contacts who are close to a tuberculosis patient are at the highest risk of contracting the disease. This analytical cross-sectional study aimed to determine the factors affecting prevention behaviors among household contacts in Phitsanulok Province, northern Thailand.

methodsThe study sample included 193 household contacts with pulmonary tuberculosis in Phitsanulok Province. They were randomly selected using a multistage sampling technique. Data were collected by a self-administered questionnaire consisting of 8 parts: (1) sociodemographic characteristics, (2) tuberculosis knowledge, (3) perceived susceptibility of tuberculosis infection, (4) perceived severity of tuberculosis, (5) perceived self-efficacy of tuberculosis prevention, (6) perceived outcome of tuberculosis prevention, (7) social support of tuberculosis prevention, and (8) tuberculosis prevention behaviors. Frequencies, percentages, means, standard deviations, and multiple regression analysis were explored for data analysis.

resultsMost participants (91.2%) had tuberculosis prevention behaviors at a high level (scores of 4.35). Factors that significantly affected tuberculosis prevention behaviors included perceived self-efficacy in tuberculosis prevention (β = 0.474), social support (β = 0.220), current smoker (β = -0.171), driving to the hospital (β = 0.150), unknown history of tuberculosis vaccination (BCG) (β = -0.122), and those who were older siblings, aunts, uncles, younger siblings, or nephews of participants (β = -0.116). These 6 factors explained 38.5% of tuberculosis prevention behaviors.

conclusionHousehold contacts to pulmonary tuberculosis should be educated about the perceived self-efficacy of tuberculosis prevention, and receive more social support to prevent the disease. The focus should be on current smokers, those who drive to the hospital, those who do not know the history of tuberculosis vaccination, and relatives of patients (older sibling, aunt, uncle, younger sibling, nephew) to reduce the risk of pulmonary tuberculosis in the future.

Indexed as

Family CharacteristicsHealth Knowledge, Attitudes, PracticeAdolescentAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedSelf EfficacySurveys and QuestionnairesThailandTuberculosisTuberculosis, PulmonaryYoung AdultHousehold contactsPulmonary tuberculosisTB prevention behaviors

Identifiers

PMID39695475
PMCPMC11654160

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LicenceCC BY-NC-ND
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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.