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Development of Breast Cancer Prognosis Prediction Model Based on Clinical Features Including CEA and CA15-3 Serum Levels

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dc.contributor.author양희수-
dc.contributor.author권성욱-
dc.contributor.author이승희-
dc.contributor.author이수현-
dc.contributor.author김종엽-
dc.date.accessioned2023-06-17T07:40:35Z-
dc.date.available2023-06-17T07:40:35Z-
dc.date.created2023-06-17-
dc.date.issued2022-02-
dc.identifier.issn2465-8014-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/88119-
dc.description.abstractObjectives: This study investigated psychosocial factors that influence nurse’s intention to receive a COVID-19 vaccine. We focused on factors including COVID-19 knowledge, attitudes and beliefs related to COVID-19 vaccines, social contexts, and demographics. Methods: Data were collected from 200 nurses at five hospitals in Daegu between 12 April and 19 June 2021. We assessed COVID-19 knowledge, perceived susceptibility, severity, benefits, barri ers, safety concerns, COVID-19 exposure, demographics, and the intention to get COVID-19 vaccines. Data were analyzed using descriptive statistics, t-tests, ANOVA, Pearson correlation, and hierarchial multiple regression. Results: Of 200 participants, 180 (90.0%) reported an intention to obtain a vaccination against COVID-19. Among four health beliefs towards COVID-19 vaccines, perceived severity was the highest. Perceived benefits (r = 0.42, p< 0.001) were positively associated with vaccination intention, while perceived barriers (r = -0.32, p< 0.001) and safety concerns (r = -0.20, p< 0.001) negatively influ enced vaccination intention. There were differences in the scores for vaccination intention according to hospital grade and work department. According to the regression analysis, perceived benefits and barriers were discovered to account for 21% of the variance in vaccination intention. Conclusions: This study offers a timely overview of psychosocial factors that are related to nurses’ intention to get vaccinated for COVID-19. The vaccines’ benefits need to be highlighted in campaigns and educations, and it is imperative to remain transparent and truthful in communications about the vaccine safety.-
dc.language영어-
dc.language.isoen-
dc.publisher한국보건정보통계학회-
dc.relation.isPartOf보건정보통계학회지-
dc.titleDevelopment of Breast Cancer Prognosis Prediction Model Based on Clinical Features Including CEA and CA15-3 Serum Levels-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass2-
dc.identifier.doi10.21032/jhis.2022.47.1.35-
dc.identifier.bibliographicCitation보건정보통계학회지, v.47, no.1, pp.35 - 47-
dc.identifier.kciidART002818148-
dc.description.isOpenAccessY-
dc.citation.endPage47-
dc.citation.startPage35-
dc.citation.title보건정보통계학회지-
dc.citation.volume47-
dc.citation.number1-
dc.contributor.affiliatedAuthor이수현-
dc.subject.keywordAuthorCOVID-19-
dc.subject.keywordAuthorVaccines-
dc.subject.keywordAuthorIntention-
dc.subject.keywordAuthorNurses-
dc.description.journalRegisteredClasskci-
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