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Antecedent characteristics of online cancer information seeking among rural breast cancer patients: An application of the Cognitive-Social Health Information Processing (C-SHIP) model

机译:农村乳腺癌患者中在线癌症信息搜索的前期特征:认知社会健康信息处理(C-SHIP)模型的应用

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摘要

Little research has examined the antecedent characteristics of patients most likely to seek online cancer information. This study employs the Cognitive-Social Health Information Processing (C-SHIP) model as a framework to understand what psychosocial characteristics precede online cancer-related information seeking among rural breast cancer patients who often have fewer health care providers and limited local support services. Examining 144 patients who were provided free computer hardware, Internet access, and training for how to use an interactive cancer communication system, pretest survey scores indicating patients' psychosocial status were correlated with specific online cancer information seeking behaviors. Each of the factors specified by the C-SHIP model had significant relationships with online cancer information seeking behaviors, with the strongest findings emerging for cancer-relevant encodings and self-construals, cancer-relevant beliefs and expectancies, and cancer-relevant self-regulatory competencies and skills. Specifically, patients with more negative appraisals in these domains were more likely to seek out online cancer information. Additionally, antecedent variables associated with the C-SHIP model had more frequent relationships with experiential information as compared with to didactic information. This study supports the applicability of the model to discern why people afflicted with cancer may seek online information to cope with their disease.
机译:很少有研究检查了最有可能寻求在线癌症信息的患者的前期特征。这项研究采用认知社会健康信息处理(C-SHIP)模型作为框架,以了解在农村乳腺癌患者中,通常在线医疗服务提供者较少且本地支持服务有限的在线癌症相关信息查找之前的心理社会特征。检查了144名患者,这些患者获得了免费的计算机硬件,互联网访问以及如何使用交互式癌症通信系统的培训,其前测调查得分表明患者的心理状态与特定的在线癌症信息搜索行为相关。 C-SHIP模型指定的每个因素均与在线癌症信息搜索行为密切相关,针对癌症相关的编码和自我解释,与癌症相关的信念和期望以及与癌症相关的自我调节的研究结果最强能力和技能。具体而言,在这些领域中,负面评价更高的患者更有可能寻找在线癌症信息。此外,与C-SHIP模型相关的先行变量与教学信息相比,与经验信息的关系更为频繁。这项研究支持该模型的适用性,以辨别癌症患者为何可能会寻求在线信息以应对其疾病。

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