1. Effectiveness of the extended parallel process model in promoting colorectal cancer screening
- Author
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Jan T. Lowery, Jeremy D. Franklin, Man Hung, Scott T. Walters, John C. Higginbotham, Randall W. Burt, Philip Tang, Marc Schwartz, Antoinette M. Stroup, Sandie L. Edwards, Watcharaporn Boonyasiriwat, Sally W. Vernon, Shirley D. Hon, Wendy C. Birmingham, Anita Y. Kinney, Deirdre A. Hill, Charles L. Wiggins, and Wendy Kohlmann
- Subjects
Oncology ,medicine.medical_specialty ,medicine.diagnostic_test ,business.industry ,Colorectal cancer ,Colonoscopy ,Experimental and Cognitive Psychology ,medicine.disease ,Structural equation modeling ,Psychiatry and Mental health ,Colorectal cancer screening ,Bayesian information criterion ,Internal medicine ,medicine ,Extended parallel process model ,Akaike information criterion ,Additive model ,business - Abstract
Objective Relatives of colorectal cancer (CRC) patients are at increased risk for the disease, yet screening rates still remain low. Guided by the Extended Parallel Process Model, we examined the impact of a personalized, remote risk communication intervention on behavioral intention and colonoscopy uptake in relatives of CRC patients, assessing the original additive model and an alternative model in which each theoretical construct contributes uniquely. Methods We collected intention-to-screen and medical record-verified colonoscopy information on 218 individuals who received the personalized intervention. Results Structural equation modeling showed poor main model fit (root mean square error of approximation (RMSEA) = 0.109; standardized root mean residual (SRMR) = 0.134; comparative fit index (CFI) = 0.797; Akaike information criterion (AIC) = 11,601; Bayesian information criterion (BIC) = 11,884). However, the alternative model (RMSEA = 0.070; SRMR = 0.105; CFI = 0.918; AIC = 11,186; BIC = 11,498) showed good fit. Cancer susceptibility (B = 0.319, p
- Published
- 2015