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Predictors of Online Cancer Information Seeking Behaviors Among Rural Breast Cancer Patients

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Abstract:

There has been very little research examining the personal characteristics that predict who is most likely to seek online breast cancer information, the form they seek it in and the topics they seek out when living with a cancer diagnoses and subsequent treatments. This current study employs the Cognitive-Social Health Information Processing (C-SHIP) model as a conceptual framework to better understand what psychosocial characteristics predict online cancer-related information seeking for rural breast cancer patients, which is an important population to study because they typically have fewer healthcare providers and limited local information resources and community support services. Examining a group of 144 rural breast cancer patients who were provided free computer hardware, Internet access and training how to use an Interactive Cancer Communication System, this study correlated pretest survey scores indicating patients’ psychosocial status with specific online cancer information seeking behaviors. Results indicated that many of the factors specified by the C-SHIP model can successfully predict online cancer information seeking behaviors among rural breast cancer patients. This supports the applicability of the model not only to self-protective behavior for preventing cancer but also to discerning the reasons why people already afflicted with cancer may seek information to cope with their disease. These results further suggest that cancer patients may seek out information as a compensatory coping mechanism; that is, those who were in a worse condition regarding their competencies and well-being were generally more likely to seek out more online cancer information.

Most Common Document Word Stems:

cancer (177), inform (172), health (94), use (66), patient (66), breast (63), et (62), al (62), seek (50), servic (43), p (42), r (40), studi (40), scale (38), gustafson (34), need (34), 4 (32), chess (31), item (30), relat (30), women (29),

Author's Keywords:

breast cancer, online information seeking, health education, Internet, Web, interactive, C-SHIP
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Name: International Communication Association
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MLA Citation:

Shaw, Bret., DuBenske, Lori., Han, Jeong Yeob., Cofta-Woerpel, Ludmila., Bush, Nigel., Gustafson, David. and McTavish, Fiona. "Predictors of Online Cancer Information Seeking Behaviors Among Rural Breast Cancer Patients" Paper presented at the annual meeting of the International Communication Association, TBA, San Francisco, CA, May 23, 2007 <Not Available>. 2010-01-24 <http://www.allacademic.com/meta/p170770_index.html>

APA Citation:

Shaw, B. , DuBenske, L. , Han, J. , Cofta-Woerpel, L. , Bush, N. , Gustafson, D. and McTavish, F. M. , 2007-05-23 "Predictors of Online Cancer Information Seeking Behaviors Among Rural Breast Cancer Patients" Paper presented at the annual meeting of the International Communication Association, TBA, San Francisco, CA Online <PDF>. 2010-01-24 from http://www.allacademic.com/meta/p170770_index.html

Publication Type: Conference Paper/Unpublished Manuscript
Abstract: There has been very little research examining the personal characteristics that predict who is most likely to seek online breast cancer information, the form they seek it in and the topics they seek out when living with a cancer diagnoses and subsequent treatments. This current study employs the Cognitive-Social Health Information Processing (C-SHIP) model as a conceptual framework to better understand what psychosocial characteristics predict online cancer-related information seeking for rural breast cancer patients, which is an important population to study because they typically have fewer healthcare providers and limited local information resources and community support services. Examining a group of 144 rural breast cancer patients who were provided free computer hardware, Internet access and training how to use an Interactive Cancer Communication System, this study correlated pretest survey scores indicating patients’ psychosocial status with specific online cancer information seeking behaviors. Results indicated that many of the factors specified by the C-SHIP model can successfully predict online cancer information seeking behaviors among rural breast cancer patients. This supports the applicability of the model not only to self-protective behavior for preventing cancer but also to discerning the reasons why people already afflicted with cancer may seek information to cope with their disease. These results further suggest that cancer patients may seek out information as a compensatory coping mechanism; that is, those who were in a worse condition regarding their competencies and well-being were generally more likely to seek out more online cancer information.

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Similar Titles:
Organizational Pathways to Patient-Centered Care: An Examination of the General Model of Health Information Seeking and Processing

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