Cancer risk assessment using an automated electronic patient-facing tool for the collection and evaluation of family history.

2016 ◽  
Vol 34 (15_suppl) ◽  
pp. e13055-e13055
Author(s):  
Leigh A Baumgart ◽  
Kristen J Vogel Postula ◽  
Shaun A Walters ◽  
Jonathan C Silverstein ◽  
William A Knaus
2010 ◽  
Vol 11 (1) ◽  
Author(s):  
Brian S Flynn ◽  
Marie E Wood ◽  
Takamaru Ashikaga ◽  
Alan Stockdale ◽  
Greg S Dana ◽  
...  

2018 ◽  
Vol 25 (4) ◽  
Author(s):  
J.E. Cleophat ◽  
H. Nabi ◽  
S. Pelletier ◽  
K. Bouchard ◽  
M. Dorval

Background Many tools have been developed for the standardized collection of cancer family history (fh). However, it remains unclear which tools have the potential to help health professionals overcome traditional barriers to collecting such histories. In this review, we describe the characteristics, validation process, and performance of existing tools and appraise the extent to which those tools can support health professionals in identifying and managing at-risk individuals.Methods Studies were identified through searches of the medline, embase, and Cochrane central databases from October 2015 to September 2016. Articles were included if they described a cancer fh collection tool, its use, and its validation process.Results Based on seventy-nine articles published between February 1978 and September 2016, 62 tools were identified. Most of the tools were paper-based and designed to be self-administered by lay individuals. One quarter of the tools could automatically produce pedigrees, provide cancer-risk assessment, and deliver evidence-based recommendations. One third of the tools were validated against a standard reference for collected fh quality and cancer-risk assessment. Only 3 tools were integrated into an electronic health records system.Conclusions In the present review, we found no tool with characteristics that might make it an efficient clinical support for health care providers in cancer-risk identification and management. Adequately validated tools that are connected to electronic health records are needed to encourage the systematic identification of individuals at increased risk of cancer.


2006 ◽  
Vol 24 (34) ◽  
pp. 5395-5402 ◽  
Author(s):  
Louise S. Acheson ◽  
Stephen J. Zyzanski ◽  
Kurt C. Stange ◽  
Amy Deptowicz ◽  
Georgia L. Wiesner

Purpose A detailed family history is important for cancer risk assessment, but obtaining it is time consuming and infrequently accomplished in practice. The Genetic Risk Easy Assessment Tool (GREAT) conducts a computer-administered family history interview and immediately generates a pedigree diagram in digital form. The purpose of this study was to validate family cancer histories produced by patients using the computer tool in comparison with pedigrees made by genetic counselors. Methods Patients scheduled for genetics consultation recorded their family histories using the GREAT, separate from their genetic counseling session. The presence of each relative; presence, type, and age at diagnosis of cancers; and cancer geneticist's risk assessment were compared for 120 pairs of pedigrees produced by counselors versus computer tool. Results The automated telephone interview took a mean of 33.5 minutes and was highly acceptable to respondents. Ninety-four percent of first-degree relatives, 67% of second-degree relatives, and 38% of third-degree relatives were identical on paired pedigrees; computer-generated pedigrees included additional relatives. Sixty-three percent of all cancers were identified by both family histories, with 90% agreement on the type of cancer. There was very good agreement (κ = 0.70; correlation = 0.77) between the geneticist's breast cancer risk assessments based on computer versus counselors' pedigrees. In a subsample of 61 users, test-retest reliability for the computer-administered questionnaire was high (φ = 0.94 for cancers in first-degree and φ = 0.91 in second-degree relatives). Conclusion The GREAT computer-administered questionnaire provides an acceptable, reliable, and valid way of collecting an unverified but extensive family history of cancer and displaying it as a pedigree, in an entirely automated process.


2013 ◽  
Vol 13 (2) ◽  
pp. 189-196 ◽  
Author(s):  
D. Gareth R. Evans ◽  
Sarah Ingham ◽  
Sarah Dawe ◽  
L. Roberts ◽  
F. Lalloo ◽  
...  

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