인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
Objectives: To develop new evaluation indicators for general health screening institutions to enhance follow-up care. Methods: First, a two-level logistic regression was conducted to identify institutional factors associated with follow-up care. The study population included individuals newly identified as suspected cases of any of the seven target diseases through general health screening in 2022 and 2023. Second, new evaluation indicators were developed and tested through 16 simulations using fourth-cycle evaluation data. Results: Compared with institutions without relevant clinical specialties, institutions with relevant clinical specialties had higher odds of follow-up care for hypertension (OR=1.28), diabetes (OR=1.39), and dyslipidemia (OR=1.47). Compared with hospitals, clinics had higher odds of follow-up care for hypertension (OR=1.31), diabetes (OR=1.59), and dyslipidemia (OR=1.51). Health screening specialized clinics (HSSCs) also had higher odds of follow-up care for hypertension (OR=1.46) and diabetes (OR=1.13), but lower odds for dyslipidemia (OR=0.91). A set of scoring criteria and weights for the new indicators was proposed based on the results of 16 simulations, considering both acceptability and the discriminatory power of the evaluation system. Conclusion: The new evaluation indicators, reflecting institutional factors associated with follow-up care, may help strengthen follow-up care by incorporating these factors into the institutional evaluation system.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
