Literature DB >> 17088568

Validation of a self-administered, computerized tool for collecting and displaying the family history of cancer.

Louise S Acheson1, Stephen J Zyzanski, Kurt C Stange, Amy Deptowicz, Georgia L Wiesner.   

Abstract

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 (kappa = 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 (phi = 0.94 for cancers in first-degree and phi = 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.

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Mesh:

Year:  2006        PMID: 17088568     DOI: 10.1200/JCO.2006.07.2462

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  32 in total

1.  Constructing data-derived family histories using electronic health records from a single healthcare delivery system.

Authors:  Maya Leventer-Roberts; Ilan Gofer; Yuval Barak Corren; Ben Y Reis; Ran Balicer
Journal:  Eur J Public Health       Date:  2020-04-01       Impact factor: 3.367

Review 2.  Applying theory to characterize impediments to dissemination of community-facing family health history tools: a review of the literature.

Authors:  Caitlin G Allen; Debra Duquette; Yue Guan; Colleen M McBride
Journal:  J Community Genet       Date:  2019-07-02

Review 3.  What characterizes cancer family history collection tools? A critical literature review.

Authors:  J E Cleophat; H Nabi; S Pelletier; K Bouchard; M Dorval
Journal:  Curr Oncol       Date:  2018-08-14       Impact factor: 3.677

4.  Familial risk of cancer and knowledge and use of genetic testing.

Authors:  Heather J Baer; Phyllis Brawarsky; Michael F Murray; Jennifer S Haas
Journal:  J Gen Intern Med       Date:  2010-04-02       Impact factor: 5.128

5.  Comparing electronic health record portals to obtain patient-entered family health history in primary care.

Authors:  Michael F Murray; Monica A Giovanni; Elissa Klinger; Elise George; Lucas Marinacci; George Getty; Phyllis Brawarsky; Beatriz Rocha; E John Orav; David W Bates; Jennifer S Haas
Journal:  J Gen Intern Med       Date:  2013-04-16       Impact factor: 5.128

6.  Association of chromosome translocation rate with low dose occupational radiation exposures in U.S. radiologic technologists.

Authors:  Mark P Little; Deukwoo Kwon; Kazataka Doi; Steven L Simon; Dale L Preston; Michele M Doody; Terrence Lee; Jeremy S Miller; Diane M Kampa; Parveen Bhatti; James D Tucker; Martha S Linet; Alice J Sigurdson
Journal:  Radiat Res       Date:  2014-06-16       Impact factor: 2.841

7.  Genetic counselors' current use of personal health records-based family histories in genetic clinics and considerations for their future adoption.

Authors:  Chaney Widmer; Jonathan P Deshazo; Joann Bodurtha; John Quillin; Heather Creswick
Journal:  J Genet Couns       Date:  2012-12-16       Impact factor: 2.537

8.  Use of a web-based risk appraisal tool for assessing family history and lifestyle factors in primary care.

Authors:  Heather J Baer; Louise I Schneider; Graham A Colditz; Hank Dart; Analisa Andry; Deborah H Williams; E John Orav; Jennifer S Haas; George Getty; Elizabeth Whittemore; David W Bates
Journal:  J Gen Intern Med       Date:  2013-01-31       Impact factor: 5.128

9.  Improving learning about familial risks using a multicomponent approach: the GRACE program.

Authors:  Nedal Arar; Elizabeth Delgado; Shuko Lee; Hanna E Abboud
Journal:  Per Med       Date:  2013-01-01       Impact factor: 2.512

10.  Literacy assessment of family health history tools for public health prevention.

Authors:  C Wang; R E Gallo; L Fleisher; S M Miller
Journal:  Public Health Genomics       Date:  2010-01-04       Impact factor: 2.000

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