使支柱整合过程适应理论发展：癌症幸存者生活质量影响因素的理论模型

IF 3.8 1区社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY

Journal of Mixed Methods Research Pub Date : 2022-10-22 DOI:10.1177/15586898221134730

Amanda Drury, Payne Sheila, Brady Anne-Marie

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引用次数: 3

摘要

混合方法研究为促进对一种现象的理解提供了一个独特的机会。然而，关于使用混合方法发展理论框架的实际指导是有限的。我们提出了一种新的支柱整合过程（PIP），以支持理论框架的发展和完善，解释医疗因素影响癌症幸存者生活质量的过程。在先验概念模型的指导下，定量和定性数据的演绎整合阐明了感兴趣的概念之间关系的细微差别，产生了一个理论框架，即影响癌症幸存者生活质量的医疗保健因素模型（MoHaQ-CS）。

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Adapting the Pillar Integration Process for Theory Development: The Theoretical Model of Healthcare Factors Influencing Quality of Life in Cancer Survivorship

Mixed methods research offers a unique opportunity to advance understanding of a phenomenon. However, practical guidance on the use of mixed methods to develop theoretical frameworks is limited. We present a novel adaptation of the Pillar Integration Process (PIP) to support development and refinement of a theoretical framework explaining the processes by which healthcare factors influence cancer survivors’ quality of life. Deductive integration of quantitative and qualitative data, guided by an a priori conceptual model, illuminates the nuances of the relationship between the concepts of interest, producing a theoretical framework, the Model of Healthcare factors influencing Quality of Life in Cancer Survivorship (MoHaQ-CS).

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来源期刊

Journal of Mixed Methods Research SOCIAL SCIENCES, INTERDISCIPLINARY-

CiteScore

10.40

自引率

28.20%

发文量

期刊介绍： The Journal of Mixed Methods Research serves as a premiere outlet for ground-breaking and seminal work in the field of mixed methods research. Of primary importance will be building an international and multidisciplinary community of mixed methods researchers. The journal''s scope includes exploring a global terminology and nomenclature for mixed methods research, delineating where mixed methods research may be used most effectively, creating the paradigmatic and philosophical foundations for mixed methods research, illuminating design and procedure issues, and determining the logistics of conducting mixed methods research. JMMR invites articles from a wide variety of international perspectives, including academics and practitioners from psychology, sociology, education, evaluation, health sciences, geography, communication, management, family studies, marketing, social work, and other related disciplines across the social, behavioral, and human sciences.