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.
초록·키워드
Psycho-oncological services (POS) are an integral and widely recommended part of comprehensive cancer care. However, their utilisation appears to fall short of the perceived need. This study aimed to explore barriers and facilitators for the uptake of POS in the context of existing clinical structures and pathways to POS. A mixed-methods study was conducted, drawing on elements of a Delphi approach, including an iterative two-round feedback process and an expert panel. The expert panel consisted of healthcare professionals in cancer care (n = 27) and cancer patients (n = 14). The first round comprised open-ended questions to explore different perspectives related to the research question. The resulting material was analysed qualitatively and grouped into themes, which were rated according to their perceived importance by the expert panel in the second survey-round (N = 27). The expert panel identified 69 aspects influencing the uptake of POS; 81% were rated as relevant in the second round. They were grouped into structural factors at hospital level, aspects related to internal processes, and factors at patient level. Central aspects were recommendations of POS by the clinical staff, personal introduction of the psycho-oncologist, integration and acceptance of POS within the hospital organisation, information dissemination about POS to both patients and clinical staff, and the possibility of flexible access routes to POS since patients’ preferences differed. Patient-groups more difficult to reach with a POS-offer were also identified. The results can be used to review implemented clinical pathways to POS in diverse hospital contexts, helping to identify and improve critical aspects accordingly, and thus improve service accessibility. This study was pre-registered at the German Clinical Trials Register (DRKS-ID: DRKS00025105; registration date: 26-05-2021).
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.
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