title: In search of a familial cancer risk assessment tool.
abstract: Approximately one in three individuals will be affected by cancer in their lifetime in the United States, and some are at elevated risk because of family history. Although assessment of family history of cancer and cancer risk is the standard of care, the current health-care system appears unable to meet this need. Because individuals are increasingly using the Internet, web-based cancer risk assessment tools (CRATs) may provide a way to meet this need. The purpose of this review was to evaluate the types of familial CRATs available on the Internet and their nature. The current review evaluated five CRATs identified through an Internet search based on (i) their ability to identify those at the highest risk of cancer (i.e. those with hereditary cancer syndromes), (ii) their strengths and limitations based on criteria adapted from Rich and colleagues (2004, 2005), (iii) their readability based on four readability calculations, and (iv) their quality based on criteria from Health on the Net. The general limitations of CRATs as a whole were also delineated, including concerns about availability to those who are poor and underserved and those who have lower levels of literacy. Recommendations for future tools include assessing risk for a greater number of diseases, using theoretically driven approaches to increase the likelihood that individuals will engage in appropriate health behaviors, and making a greater effort to reach diverse populations.
authors.affiliation: Human Cancer Genetics, Department of Molecular Virology, Immunology, and Medical Genetics, The Ohio State University, Columbus, OH 43210, USA. kimberly.kelly@osumc.edu
authors.forename: K M
authors.initials: KM
authors.lastname: Kelly
authors.forename: K
authors.initials: K
authors.lastname: Sweet
mesh_terms: D005069:Evaluation Studies as Topic; D020022:Genetic Predisposition to Disease; D006801:Humans; D020407:Internet; D009369:Neoplasms / Q000235:genetics*; D018570:Risk Assessment / Q000379:methods; D012984:Software