The Dyadic Cancer Outcomes Framework: A general framework of the effects of cancer on patients and informal caregivers

二元体 社会心理的 心理干预 背景(考古学) 概念框架 干预(咨询) 心理学 心理肿瘤学 家庭照顾者 医学 老年学 发展心理学 心理治疗师 精神科 社会学 生物 古生物学 社会科学
作者
Tess Thompson,Dana Ketcher,Tamryn F. Gray,Erin E. Kent
出处
期刊:Social Science & Medicine [Elsevier BV]
卷期号:287: 114357-114357 被引量:55
标识
DOI:10.1016/j.socscimed.2021.114357
摘要

It is widely acknowledged that cancer affects not only patients but also their friends and family members who provide informal, and typically unpaid, care. Given the dual impact that cancer often has on patients and their informal caregivers (i.e., family members, partners, or friends), an expanded dyadic framework that encompasses a range of health and psychosocial outcomes and includes primary caregivers with a range of relationships to the patients is critically needed. Moreover, an emphasis on the role of social and contextual factors may help the framework resonate with a broader range of patient-caregiver relationships and allow for the development of more effective dyadic interventions. This article describes the development of the Dyadic Cancer Outcomes Framework, which was created to guide future research and intervention development. Using an iterative process, we conducted a conceptual review of currently used dyadic and/or caregiving models and frameworks and developed our own novel dyadic framework. Our novel Dyadic Cancer Outcomes Framework highlights individual- and dyad-level predictors and outcomes, as well as incorporating the disease trajectory and the social context. This framework can be used in conjunction with statistical approaches including the Actor Partner Interdependence Model to evaluate outcomes for different kinds of partner-caregiver dyads. This flexible framework can be used to guide intervention development and evaluation for cancer patients and their primary caregivers, with the ultimate goal of improving health, psychosocial, and relationship outcomes for both patients and caregivers. Future research will provide valuable information about the framework's effectiveness for this purpose.

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