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ArticleFrontiers in public health2024

The predictors of voluntary participation in pulmonary tuberculosis screening program: a study in a suburban community of southern Thailand.

Chanon Kongkamol, Apinya Chintrakul, Kanakorn Horsiritham, Nantaka Kiranantawat, Sitang Nirattisaikul, Jitpreedee Sungsiri, Pornchai Sathirapanya, Chutarat Sathirapanya, Koontidar Boonma, Tuck Chowwanapoonpohn and 6 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

16 authors at 1 institution in 1 country.

Chanon KongkamolDepartment of Family and Preventive Medicine, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand.
Apinya ChintrakulHealth Sciences and Clinical Research, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand.
Kanakorn HorsirithamDivision of Digital Innovation and Data Analytics (DIDA), Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand.
Nantaka KiranantawatDepartment of Radiology, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand.
Sitang NirattisaikulDepartment of Radiology, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand.
Jitpreedee SungsiriDepartment of Radiology, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand.
Pornchai SathirapanyaDepartment of Medicine, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand.
Chutarat SathirapanyaDepartment of Family and Preventive Medicine, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand.
Koontidar BoonmaDepartment of Family and Preventive Medicine, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand.
Tuck ChowwanapoonpohnDepartment of Family and Preventive Medicine, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand.
Paradon NuimanDepartment of Family and Preventive Medicine, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand.
Jekita SupunthuchaikulDepartment of Family and Preventive Medicine, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand.
Nuttartham ChokthamangoonDepartment of Family and Preventive Medicine, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand.
Chalanthon ChintanaDepartment of Family and Preventive Medicine, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand.
Trithep SuktaneekulDepartment of Family and Preventive Medicine, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand.
Chananyu WatcharanimitDepartment of Family and Preventive Medicine, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand.
Prince of Songkla University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The health belief model (HBM), baseline health condition, and sociocultural factors impact the decision to participate in a tuberculosis screening program. Methods: This cross-sectional and descriptive study was carried out among the "Kao Taew" community dwellers aged 18 years and above, who voluntarily underwent the provided pulmonary tuberculosis (PTB) screening by chest radiographs (CXRs). The level of individual HBM domain perception, attitudes toward PTB prevention, and regularity of PTB prevention practices by the participants were evaluated. The significantly associated or correlated factors such as demographic characteristics, individual HBM domain perception, and attitudes toward PTB prevention with the regularity of PTB prevention practices from the univariate analysis were further analyzed by multiple linear regression (p < 0.05) to determine the independent significant predictors of PTB prevention practices. Results: Among 311 participants comprising 65% women, 57.9% aged ≥ 65 years and 67.2% had an underlying disease. The study participants had a high level of perception of HBM domains but a low level of perception of the barrier. In addition, a high level of attitudes toward PTB prevention and a high regularity of PTB prevention practices were found. A multiple linear regression analysis revealed that the perceived benefits of PTB screening [Beta = 0.20 (0.04, 0.36) Conclusions: The level of perception of the individual domain of HBM, health status, and religious belief significantly predicted voluntary participation in PTB screening programs. Careful consideration by integration of the relevant health psychology, physical, and sociocultural factors is crucial for planning a health screening program.

Indexed as

Mass ScreeningTuberculosis, PulmonaryAdolescentAdultAgedCross-Sectional StudiesFemaleHealth Belief ModelHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedSuburban PopulationSurveys and QuestionnairesThailandYoung Adultcommunityhealthpreventionscreeningtuberculosis

Identifiers

PMID38660360
PMCPMC11040456
OpenAlexW4394679871

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.