Shaw Bret R, Dubenske Lori L, Han Jeong Yeob, Cofta-Woerpel Ludmila, Bush Nigel, Gustafson David H, McTavish Fiona
Department of Life Sciences Communication, University of Wisconsin-Madison, Madison, Wisconsin, USA.
J Health Commun. 2008 Jun;13(4):389-408. doi: 10.1080/10810730802063546.
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.
很少有研究探讨最有可能寻求在线癌症信息的患者的前期特征。本研究采用认知-社会健康信息处理(C-SHIP)模型作为框架,以了解在医疗服务提供者较少且当地支持服务有限的农村乳腺癌患者中,哪些心理社会特征先于在线癌症相关信息的寻求。研究调查了144名获得免费计算机硬件、互联网接入以及如何使用交互式癌症交流系统培训的患者,表明患者心理社会状况的预测试调查分数与特定的在线癌症信息寻求行为相关。C-SHIP模型所指定的每个因素都与在线癌症信息寻求行为存在显著关系,其中与癌症相关的编码和自我建构、癌症相关的信念和期望以及癌症相关的自我调节能力和技能的关联最为显著。具体而言,在这些领域中评估更为负面的患者更有可能寻求在线癌症信息。此外,与C-SHIP模型相关的前期变量与体验性信息的关联比与说教性信息的关联更为频繁。本研究支持该模型在辨别癌症患者寻求在线信息以应对疾病原因方面的适用性。