German physicians' perceptions and views on complementary medicine in pediatric oncology: a qualitative study.
Pia KlattChristin KohrsBarbara SteinMarkus HorneberDaniela ReisJan SchildmannAlfred LänglerPublished in: Pediatric hematology and oncology (2022)
Complementary and alternative medicine (CAM) use in children with cancer has a high prevalence. If (parents of) patients bring up the topic of CAM, pediatric oncologists (POs) face considerable challenges regarding knowledge and professional behavior. In this study, we explore German POs' understanding of CAM and related attitudes as well as challenges and strategies related to CAM discussions by means of semi-structured interviews analyzed according to principles of qualitative thematic analysis with parents of children with cancer. We could conduct 14 interviews prior to theoretical saturation. The interviews had a duration of 15-82 min ( M = 30.8, SD = 18.2). Professional experience in pediatric oncology was between 0.5 and 26 years ( M = 13.8, SD = 7.6). Main themes identified were a heterogeneous understanding and evaluation of CAM, partly influenced by personal experiences and individual views on plausibility; the perception that CAM discussions are a possible tool for supporting parents and their children and acknowledgement of limitations regarding implementation of CAM discussions; and uncertainty and different views regarding professional duties and tasks when being confronted with CAM as a PO. Our interdisciplinary interpretation of findings with experts from (pediatric) oncology, psychology, and ethics suggests that there is need for development of a consensus on the minimal professional standards regarding addressing CAM in pediatric oncology.
Keyphrases
- palliative care
- young adults
- primary care
- healthcare
- end stage renal disease
- childhood cancer
- papillary thyroid
- chronic kidney disease
- risk factors
- peritoneal dialysis
- squamous cell carcinoma
- working memory
- clinical practice
- squamous cell
- advanced cancer
- quality improvement
- patient reported outcomes
- big data
- artificial intelligence
- drug induced