Cue-Responding Behaviours Of Oncology Nurses In Video-Simulated Interviews

JOURNAL OF ADVANCED NURSING(2008)

引用 59|浏览11
暂无评分
摘要
Title. Cue-responding behaviours of oncology nurses in video-simulated interviewsAim. This paper is a report of a study to describe nurse-patient interactions, i.e. nurses' cue-responding behaviour in encounters with actors playing the role of patients.Background. Patients with cancer seldom express their concerns directly but express cues instead. Few studies empirically investigated nurses' cue-responding behaviour and the subsequent influence of disclosure of cues and concerns.Methods. In this descriptive observational study, conducted from April to June 2004, five oncology nurses interviewed an actor playing the role of a patient with cancer. Each nurse performed seven different interviews (n = 35); these were videotaped and subsequently rated for cue-responding using the Medical Interview Aural Rating Scale. Mixed model analysis was used to investigate the relation between cues and cue-responding.Findings. Half of the patients' cues were responded to with distancing behaviours. The other half of the cues were either explored (33%) or acknowledged (17%). In 16% of these responses, nurses used open directive questions. One out of four open directive questions were used as a distancing response, suggesting that open directive questions are not used to explore or acknowledge cues of patients. Cue-responding influenced subsequent expression of concerns and emotions, i.e. disclosure of a concern is two times higher after exploration or acknowledging of a preceding cue than after a distancing response.Conclusion. Cue-responding is a valuable concept which can contribute to our understanding of optimal ways of communicating. Cue-responding behaviour facilitates the disclosure of worries and concerns of patients. Further research is needed to assess the clinical relevancy of cue-responding.
更多
查看译文
关键词
disclosure,nurse -patient communications,nursing,oncology,patient cues,video-simulation
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