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Estimating the impact of a television campaign on tuberculosis knowledge and intention to test for TB in South Korea

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dc.contributor.authorLee, B.-
dc.contributor.authorOh, H. J.-
dc.contributor.authorChon, B. S.-
dc.date.accessioned2021-06-22T12:22:54Z-
dc.date.available2021-06-22T12:22:54Z-
dc.date.created2021-01-21-
dc.date.issued2018-01-
dc.identifier.issn1027-3719-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/6921-
dc.description.abstractOBJECTIVE : To examine the effectiveness of a television campaign for preventing tuberculosis (TB) executed in South Korea in 2015. DESIGN: We used a genetic matching method to accurately test the effect of the campaign on changing people's knowledge and behaviour in a nationwide sample of 1000 adults; information was collected using face-to-face interviews. RESULTS : After matching individuals in treatment and controlled conditions using 11 covariates, we found that the campaign significantly improved people's knowledge about TB, and enhanced people's intention to undertake a TB test when they recognised the signs of TB. CONCLUSION: These data highlight the potential usefulness of genetic matching for enhancing statistical rigour when evaluating the effectiveness of a health campaign using a cross-sectional observational study.-
dc.language영어-
dc.language.isoen-
dc.publisherINT UNION AGAINST TUBERCULOSIS LUNG DISEASE (I U A T L D)-
dc.titleEstimating the impact of a television campaign on tuberculosis knowledge and intention to test for TB in South Korea-
dc.typeArticle-
dc.contributor.affiliatedAuthorLee, B.-
dc.contributor.affiliatedAuthorChon, B. S.-
dc.identifier.doi10.5588/ijtld.17.0203-
dc.identifier.scopusid2-s2.0-85039075741-
dc.identifier.wosid000429780700014-
dc.identifier.bibliographicCitationINTERNATIONAL JOURNAL OF TUBERCULOSIS AND LUNG DISEASE, v.22, no.1, pp.60 - +-
dc.relation.isPartOfINTERNATIONAL JOURNAL OF TUBERCULOSIS AND LUNG DISEASE-
dc.citation.titleINTERNATIONAL JOURNAL OF TUBERCULOSIS AND LUNG DISEASE-
dc.citation.volume22-
dc.citation.number1-
dc.citation.startPage60-
dc.citation.endPage+-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaInfectious Diseases-
dc.relation.journalResearchAreaRespiratory System-
dc.relation.journalWebOfScienceCategoryInfectious Diseases-
dc.relation.journalWebOfScienceCategoryRespiratory System-
dc.subject.keywordPlusPROPENSITY SCORE-
dc.subject.keywordPlusBEHAVIOR-
dc.subject.keywordPlusOPTIMIZATION-
dc.subject.keywordPlusMULTIVARIATE-
dc.subject.keywordPlusMETAANALYSIS-
dc.subject.keywordPlusPACKAGE-
dc.subject.keywordPlusBALANCE-
dc.subject.keywordAuthorcausal impact-
dc.subject.keywordAuthorgenetic matching-
dc.subject.keywordAuthorTB knowledge-
dc.subject.keywordAuthorTB diagnosis-
dc.subject.keywordAuthortelevision campaign-
dc.subject.keywordAuthortuberculosis-
dc.identifier.urlhttps://www.ingentaconnect.com/content/iuatld/ijtld/2018/00000022/00000001/art00014;jsessionid=1h01lpp12ck07.x-ic-live-02-
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