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乳腺癌患者延迟与求助模型的实证比较:模型的适用性与推广性

Empirical comparisons of patient delay and help seeking models for breast cancer: fitness of models for use and generalisation.

作者信息

Lim Jennifer N W

机构信息

Leeds Institute of Health Sciences, School of Medicine, University of Leeds, Leeds, United Kingdom.

出版信息

Asian Pac J Cancer Prev. 2011;12(6):1589-95.

Abstract

BACKGROUND

Health behaviour models are continuously being developed to investigate patient delay and help seeking behaviour for breast cancer. Their fitness for generalisation to another setting has not been examined and little is known of their appropriateness for use.

METHODS

The models' building blocks (theories, concepts, constructs and variables) and settings were systematically examined and compared.

RESULTS

Six models of patient delay and help seeking for breast cancer were developed in a period of seven years (2003-2010). Theories of individual and interpersonal health behaviour, and various combinations of concepts and constructs were used to build these models. There is a lack of consensus in the terminology used to define constructs and variables. Constructs and variables together explained some of the variance of patient delay and help seeking.

CONCLUSION

Existing patient delay and help seeking models for breast cancer were tested and yielded some degree of confirmation of their ability in explaining delayed presentation and help seeking behaviour. More models are likely to be developed in the future to account for factors currently missing in the existing models. To ease this process, there is a need for greater consensus and a shared conceptual language, as well as to advance knowledge and research in this field.

摘要

背景

健康行为模型不断发展,用于研究乳腺癌患者的延迟就医及求助行为。其在其他环境中的适用性尚未得到检验,人们对其使用的适当性也知之甚少。

方法

对模型的组成部分(理论、概念、构建和变量)及环境进行系统检验和比较。

结果

在七年时间(2003 - 2010年)内,开发了六个乳腺癌患者延迟就医及求助模型。个人和人际健康行为理论以及概念和构建的各种组合被用于构建这些模型。在用于定义构建和变量的术语方面缺乏共识。构建和变量共同解释了患者延迟就医及求助行为的部分差异。

结论

对现有的乳腺癌患者延迟就医及求助模型进行了测试,其在解释延迟就诊和求助行为方面的能力得到了一定程度的证实。未来可能会开发更多模型,以考虑现有模型中目前缺失的因素。为了简化这一过程,需要达成更大的共识并使用共享的概念性语言,同时推进该领域的知识和研究。

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