The Dyadic Cancer Outcomes Framework: A general framework of the effects of cancer on patients and informal caregivers.
The Dyadic Cancer Outcomes Framework: A general framework of the effects of cancer on patients and informal caregivers.
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DOI：
10.1016/j.socscimed.2021.114357
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发表时间：
2021-10
期刊：
影响因子：
--
通讯作者：
Kent EE
中科院分区：
文献类型：
--
作者：
Thompson T;Ketcher D;Gray TF;Kent EE
人们普遍认为，癌症不仅影响患者，还影响他们的朋友和家庭成员，他们提供非正式的，通常是无偿的护理。考虑到癌症通常对患者及其非正式护理人员的双重影响（即，家庭成员、伴侣或朋友），因此迫切需要一个扩大的二元框架，其中包括一系列健康和心理社会结果，并包括与患者有各种关系的主要照顾者。此外，强调社会和背景因素的作用可能有助于该框架与更广泛的患者-护理人员关系产生共鸣，并允许制定更有效的二元干预措施。本文介绍了双元癌症结局框架的发展，该框架旨在指导未来的研究和干预发展。使用一个迭代的过程中，我们进行了一个概念性的审查，目前使用的二元和/或双元模型和框架，并开发了我们自己的新的二元框架。我们新的二元癌症结局框架强调了个体和二元水平的预测因子和结局，并结合了疾病轨迹和社会背景。这个框架可以与统计方法结合使用，包括演员合作伙伴相互依赖模型，以评估不同类型的合作伙伴，照顾者二人组的结果。这种灵活的框架可用于指导癌症患者及其主要照顾者的干预开发和评估，最终目标是改善患者和照顾者的健康，心理社会和关系结果。未来的研究将提供有关该框架为此目的的有效性的宝贵信息。
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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