Preference of cancer patients and family members regarding delivery of bad news and differences in clinical practice among medical staff View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02

AUTHORS

Zhongyi Fan, Liyan Chen, Limin Meng, Haihua Jiang, Qianqian Zhao, Lili Zhang, Chun-Kai Fang

ABSTRACT

OBJECTIVES: To study the preferences of cancer patients and their families in way of being informed of their condition and, by comparing their preferences with the medical staff's clinical practices, explore the factors underlying the latter's preferences. METHODS: A survey was conducted with 216 cancer patients, 242 families, and 176 clinical staff members with the Medical Status Communication questionnaire (Simplified Chinese edition). RESULTS: The clinical staff scored lower than the cancer patients and their families in terms of the total score, way of communication, emotional support, and additional information (F = 16.134, p < .001; F = 28.604, p < .001; F = 13.839, p < .001; F = 16.745, p < .001). Factors underlying the medical staff's clinical practices included, as revealed by the multiple linear regression analysis, gender (p = .03), and willingness to improve the way of communication about cancer (p = .006). CONCLUSIONS: A gap existed between the medical staff's clinical practice and the preferences of the cancer patients and their families. The medical staff should receive adequate training in cancer communication skills and techniques for improvement in this respect. When designing training for skills in delivering bad news to cancer patients, the well-being of cancer patients and their families must be thoroughly considered, and patient demands for information should be satisfied in the context of the information explosion of the current age. More... »

PAGES

583-589

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00520-018-4348-1

DOI

http://dx.doi.org/10.1007/s00520-018-4348-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1105679806

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30022347


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