S1 Guideline for prioritisation in gastrointestinal cancer care - scarcity of ressources in the pandemic context

ONCOLOGY RESEARCH AND TREATMENT(2022)

引用 0|浏览2
暂无评分
摘要
The COVID-19 pandemic has led to deviations in all sectors of cancer care. We present multidisciplinarily approved recommendations for ethically and empirically based prioritisation of procedures in times of scarce resources for patients with colorectal and pancreatic cancer. The CancerCOVID consortium conducted qualitative and quantitative studies on ethical challenges and psychosocial stress of patients and health care professionals in cancer care. For empirical analyses we obtained data from AOK Plus, the main health insurance in Saxony, AIO (Arbeitsgemeinschaft internistische Onkologie) cancer centers, the institute of Pathology Bochum, the ColoPredict Registry and data of outpatient care from the BNHO (Berufsverband der Hämatologen und Onkologen) and Onkotrakt AG. A selective literature review of international data and guidelines focussing on the effects of the pandemic on cancer care and allocation of resources was conducted. Structured group discussions on justified criteria for prioritisation were held with experts from oncology, ethics, law and health research. Recommendations for prioritisation were formulated as S1 guideline with approval of 9 AWMF Medical Societies, 22 multidisciplinary experts and patient representatives. The main principle for decisions on prioritisation in times of scarce resources is the minimisation of individual and aggregated harm. In case of relevant risk of harm from a possible low priority classification or postponement prioritization decisions should be made individually for the respective patients according to the multiple-eyes principle. Decision making should involve different disciplines and professions depending on local infrastructure. We concretised recommendations for 5 areas in cancer care. Guidelines based on a broad multidisciplinary consensus can give ethically and empirically based support in medical decision making when resources are scarce. This can provide relief for decision-makers and facilitate transparency and trust of patients and population.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要