메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
Purpose Many end-of-life care studies are based on the assumption that there is a shared definition of language concerning the stage of cancer. However, studies suggest that patients and their families often misperceive patients’ cancer stages and prognoses. Discrimination between advanced cancer and terminal cancer is important because the treatment goals are different. In this study, we evaluated the understanding of the definition of advanced versus terminal cancer of the general population and determined associated socio-demographic factors. Materials and Methods A total of 2,000 persons from the general population were systematically recruited. We used a clinical vignette of a hypothetical advanced breast cancer patient, but whose cancer was not considered terminal. After presenting the brief history of the case, we asked respondents to choose the correct cancer stage from a choice of early, advanced, terminal stage, and don’t know. Multinomial logistic regression analysis was performed to determine sociodemographic factors associated with the correct response, as defined in terms of medical context. Results Only 411 respondents (20.6%) chose “advanced,” while most respondents (74.5%) chose “terminal stage” as the stage of the hypothetical patient, and a small proportion of respondents chose “early stage” (0.7%) or “don’t know” (4.4%). Multinomial logistic regression analysis found no consistent or strong predictor. Conclusion A large proportion of the general population could not differentiate advanced cancer from terminal cancer. Continuous effort is required in order to establish common and shared definitions of the different cancer stages and to increase understanding of cancer staging for the general population.

목차

등록된 정보가 없습니다.

참고문헌 (25)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0