Objective: Radiation oncology consultations involve explanation of complex technical concepts using medical jargon. This study aimed to: analyse types and frequency of medical jargon that radiation therapists (RTs) use during education sessions; identify how patients seek clarification from RTs; and, explore RTs communication strategies.
Methods: Education sessions were audio-recorded and transcribed. Medical jargon was analysed using MaxDictio (a vocabulary analysis programme). A distinction was made between specialised (specialised terms used in RT or cancer) and contextual jargon (common everyday words with a different meaning in RT). Qualitative data were analysed using Framework analysis.
Results: Fifty-eight patients and 10 RTs participated. Contextual treatment jargon were the most frequently used jargon (32.2%) along with general medical terms (34.6%). Patients appeared uncertain about the number of treatments, side effects, and the risks of radiation. Patients sought clarification by asking RTs to explain or repeat information. RTs replaced jargon with a simpler word, used everyday analogies, and diagrams.
Conclusion: Use of medical jargon is common in RT education sessions. RTs used different jargon types to varying degrees, but contextual jargon dominated.
Practice Implications: Training RTs how to tailor information to enhance patients' understanding would be beneficial. Future research exploring medical jargon used in other (non-) oncology settings is required.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.pec.2016.08.006 | DOI Listing |
J Med Internet Res
January 2025
Department of Medical Strategy, Process and Quality Management, University Hospital Tübingen, Tübingen, Germany.
Background: For hospitalized patients, the discharge letter serves as a crucial source of medical information, outlining important discharge instructions and health management tasks. However, these letters are often written in professional jargon, making them difficult for patients with limited medical knowledge to understand. Large language models, such as GPT, have the potential to transform these discharge summaries into patient-friendly letters, improving accessibility and understanding.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Health and Community Sciences, University of Exeter Medical School, University of Exeter, Exeter, United Kingdom.
Background: The idea of making science more accessible to nonscientists has prompted health researchers to involve patients and the public more actively in their research. This sometimes involves writing a plain language summary (PLS), a short summary intended to make research findings accessible to nonspecialists. However, whether PLSs satisfy the basic requirements of accessible language is unclear.
View Article and Find Full Text PDFBMC Palliat Care
January 2025
Faculty of Business and Economics (HEC), University of Lausanne, Lausanne, Switzerland.
Background: Despite the critical role of health literacy in utilizing palliative care and engaging in advance care planning, limited research exists on the determinants of end-of-life health literacy. This study investigates the association between individuals' experiences with end-of-life care support to relatives and their end-of-life health literacy among a population-based sample of adults aged 58 and older.
Method: We used data from 1,548 respondents in Switzerland to Wave 8 (2019/2020) of the Survey on Health, Ageing, and Retirement in Europe.
Women Birth
January 2025
Centre of Research Excellence in Stillbirth, Mater Research, University of Queensland, Brisbane, Australia. Electronic address:
Background: While benefits of involving consumers in research are well established, bereaved parents face unique challenges, and descriptions of their experiences with co-designed stillbirth research are lacking. The collective experience of 'Project Engage' involved co-designing resources to support bereaved parents' involvement in research.
Methods: This study aimed to describe and evaluate the involvement of bereaved parents as co-investigators of a stillbirth research project.
Cureus
December 2024
Department of Neurology, Gummersbach Teaching Hospital, University of Cologne, Gummersbach, DEU.
Multimedia learning theory suggests that the use of images in the classroom enhances both cognitive and constructive learning. Finding the appropriate images for medical presentations can be challenging due to copyright and privacy issues. Artificial intelligence (AI) image generation is a newly available technology that offers a great advantage to medical educators.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!