Exploring behavioural motivations of treatment refusal in cancer: a Q-methodological approach

探索癌症患者拒绝治疗的行为动机:一种Q方法论方法

阅读:3

Abstract

BACKGROUND: Cancer treatment refusal is known to lower survival rates and increase cancer symptoms in individuals with cancer. Behavioural motivations of treatment refusal need to be elucidated for better cancer care. Using Q-methodology, a mixed methods research approach, we explored behavioural motivations of treatment refusal in individuals diagnosed with cancer. METHOD: Thirty-nine individuals (n = 39; age = 49.2 ± 12.2 years) were recruited from Australia, the UK, and the USA, who had refused cancer treatment within the past decade. Participants completed an online demographic questionnaire and a Q-sort activity which required the organisation and ranking of 44 statements on potential treatment refusal motivations. Q-sort data were analysed with an inverted factor analysis. Compositive Q-sorts, distinguishing statements, and demographic data facilitated interpretation of the resulting factors. RESULTS: Eight factors, accounting for 66% of total variance, were identified and interpreted. The eight factors were as follows: (1) I was not motivated by my health status, (2) Treatment was too risky for how unwell I was, (3) I was motivated by my age, (4) I did not distrust the medical system and practitioners, (5) Religious and spiritual practices would heal me, (6) I was influenced by my religious and spiritual beliefs, (7) My prognosis was not good enough, and (8) I wanted to heal naturally. CONCLUSION: Diverse motivations for cancer treatment refusal were found, which could help practitioners understand an individual's considerations regarding treatment decisions. Future research should investigate motivations underpinning cancer treatment refusal and establish person-centred strategies to address concerns when promoting evidence-based cancer treatment.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。