Skip to main content
Top
Published in: BMC Medical Informatics and Decision Making 1/2015

Open Access 01-12-2015 | Research article

Family history assessment for colorectal cancer (CRC) risk analysis - comparison of diagram- and questionnaire-based web interfaces

Authors: Michael Schultz, Steven Bohwan Seo, Alec Holt, Holger Regenbrecht

Published in: BMC Medical Informatics and Decision Making | Issue 1/2015

Login to get access

Abstract

Background

Colorectal cancer (CRC) has a high incidence, especially in New Zealand. The reasons for this are unknown. While most cancers develop sporadically, a positive family history, determined by the number and age at diagnosis of affected first and second degree relatives with CRC is one of the major factors, which may increase an individual’s lifetime risk. Before a patient can be enrolled in a surveillance program a detailed assessment and documentation of the family history is important but time consuming and often inaccurate. The documentation is usually paper-based. Our aim was therefore to develop and validate the usability and efficacy of a web-based family history assessment tool for CRC suitable for the general population. The tool was also to calculate the risk and make a recommendation for surveillance.

Methods

Two versions of an electronic assessment tool, diagram-based and questionnaire-based, were developed with the risk analysis and recommendations for surveillance based on the New Zealand Guidelines Group recommendations. Accuracy of our tool was tested prior to the study by comparing risk calculations based on family history by experienced gastroenterologists with the electronic assessment. The general public, visiting a local science fair were asked to use and comment on the usability of the two interfaces.

Results

Ninety people assessed and commented on the two interfaces. Both interfaces were effective in assessing the risk to develop CRC through their familial history for CRC. However, the questionnaire-based interface performed with significantly better satisfaction (p = 0.001) than the diagram-based interface. There was no difference in efficacy though.

Conclusion

We conclude that a web-based questionnaire tool can assist in the accurate documentation and analysis of the family history relevant to determine the individual risk of CRC based on local guidelines. The calculator is now implemented and assessable through the web-page of a local charity for colorectal cancer awareness and integral part of the local general practitioners’ e-referral system for colonic imaging.
Literature
2.
go back to reference Jones R, Latinovic R, Charlton J, Gulliford CM. Alarm symptoms in early diagnosis of cancer in primary care: cohort study using General Practice Research Database. BMJ. 2007;334(7602):1040.CrossRefPubMedPubMedCentral Jones R, Latinovic R, Charlton J, Gulliford CM. Alarm symptoms in early diagnosis of cancer in primary care: cohort study using General Practice Research Database. BMJ. 2007;334(7602):1040.CrossRefPubMedPubMedCentral
3.
go back to reference Wezel vT, Middeldorp A, Wijnen TJ, Morreau H. A review of the genetic background and tumour profiling in familial colorectal cancer. Mutagenesis. 2012;27(2):239–45.CrossRefPubMed Wezel vT, Middeldorp A, Wijnen TJ, Morreau H. A review of the genetic background and tumour profiling in familial colorectal cancer. Mutagenesis. 2012;27(2):239–45.CrossRefPubMed
5.
go back to reference Grover AS, Lowensteyn I, Esrey LK, Steinert Y, Joseph L, et al. Do doctors accurately assess coronary risk in their patients? Preliminary results of the coronary health assessment study. BMJ. 1995;310(6985):975–8.CrossRefPubMedPubMedCentral Grover AS, Lowensteyn I, Esrey LK, Steinert Y, Joseph L, et al. Do doctors accurately assess coronary risk in their patients? Preliminary results of the coronary health assessment study. BMJ. 1995;310(6985):975–8.CrossRefPubMedPubMedCentral
6.
go back to reference Sheridan S, Pignone M, Mulrow C. Framingham-based tools to calculate the global risk of coronary heart disease: a systematic review of tools for clinicians. J Gen Intern Med. 2003;18(12):1039–52.CrossRefPubMedPubMedCentral Sheridan S, Pignone M, Mulrow C. Framingham-based tools to calculate the global risk of coronary heart disease: a systematic review of tools for clinicians. J Gen Intern Med. 2003;18(12):1039–52.CrossRefPubMedPubMedCentral
8.
go back to reference Collins SG, Altman GD. Identifying patients with undetected colorectal cancer: an independent validation of QCancer (Colorectal). Br J Cancer. 2012;107(2):260–5.CrossRefPubMedPubMedCentral Collins SG, Altman GD. Identifying patients with undetected colorectal cancer: an independent validation of QCancer (Colorectal). Br J Cancer. 2012;107(2):260–5.CrossRefPubMedPubMedCentral
9.
go back to reference Beuscart-Zephir CM, Brender J, Beuscart R, Menager-Depriester I. Cognitive evaluation: how to assess the usability of information technology in healthcare. Comput Methods Prog Biomed. 1997;54(1–2):19–28.CrossRef Beuscart-Zephir CM, Brender J, Beuscart R, Menager-Depriester I. Cognitive evaluation: how to assess the usability of information technology in healthcare. Comput Methods Prog Biomed. 1997;54(1–2):19–28.CrossRef
10.
go back to reference Valero MA, Arredondo MT, Sanz MF, Pozo DF. Usability engineering in patients follow-up medical information systems. In: Proceedings of the 18th Annual International Conference of the IEEE5 1996. 1996. Valero MA, Arredondo MT, Sanz MF, Pozo DF. Usability engineering in patients follow-up medical information systems. In: Proceedings of the 18th Annual International Conference of the IEEE5 1996. 1996.
11.
go back to reference House W, Sharp D, Sheridan E. Identifying and screening patients at high risk of colorectal cancer in general practice. J Med Screen. 1999;6(4):205–8.CrossRefPubMed House W, Sharp D, Sheridan E. Identifying and screening patients at high risk of colorectal cancer in general practice. J Med Screen. 1999;6(4):205–8.CrossRefPubMed
12.
go back to reference Emery J. The GRAIDS Trial: the development and evaluation of computer decision support for cancer genetic risk assessment in primary care. Ann Hum Biol. 2005;32(2):218–27.CrossRefPubMed Emery J. The GRAIDS Trial: the development and evaluation of computer decision support for cancer genetic risk assessment in primary care. Ann Hum Biol. 2005;32(2):218–27.CrossRefPubMed
13.
go back to reference Acheson SL, Zyzanski JS, Stange CK, Deptowicz A, Wiesner LG. Validation of a self-administered, computerized tool for collecting and displaying the family history of cancer. J Clin Oncol. 2006;24(34):5395–402.CrossRefPubMed Acheson SL, Zyzanski JS, Stange CK, Deptowicz A, Wiesner LG. Validation of a self-administered, computerized tool for collecting and displaying the family history of cancer. J Clin Oncol. 2006;24(34):5395–402.CrossRefPubMed
14.
go back to reference Westman J, Hampel H, Bradley T. Efficacy of a touchscreen computer based family cancer history questionnaire and subsequent cancer risk assessment. J Med Genet. 2000;37(5):354–60.CrossRefPubMedPubMedCentral Westman J, Hampel H, Bradley T. Efficacy of a touchscreen computer based family cancer history questionnaire and subsequent cancer risk assessment. J Med Genet. 2000;37(5):354–60.CrossRefPubMedPubMedCentral
15.
go back to reference Yoon WP, Scheuner TM, Jorgensen C, Khoury JM. Developing Family Healthware, a family history screening tool to prevent common chronic diseases. Prev Chronic Dis. 2009;6(1):A33.PubMed Yoon WP, Scheuner TM, Jorgensen C, Khoury JM. Developing Family Healthware, a family history screening tool to prevent common chronic diseases. Prev Chronic Dis. 2009;6(1):A33.PubMed
16.
go back to reference Regenbrecht H, Langlotz T, Ho C, George M, Gray A. et al. Field Test of a Questionnaire-based Mobile Health Reporting System. In: ACM OzCHI 2014. Sydney: ACM, NY, USA; 2014. Regenbrecht H, Langlotz T, Ho C, George M, Gray A. et al. Field Test of a Questionnaire-based Mobile Health Reporting System. In: ACM OzCHI 2014. Sydney: ACM, NY, USA; 2014.
17.
go back to reference Vogel JT, Stoops K, Bennett LR, Miller M, Swisher ME. A self-administered family history questionnaire improves identification of women who warrant referral to genetic counseling for hereditary cancer risk. Gynecol Oncol. 2012;125(3):693–8.CrossRefPubMed Vogel JT, Stoops K, Bennett LR, Miller M, Swisher ME. A self-administered family history questionnaire improves identification of women who warrant referral to genetic counseling for hereditary cancer risk. Gynecol Oncol. 2012;125(3):693–8.CrossRefPubMed
18.
go back to reference Baer JH, Schneider IL, Colditz AG, Dart H, Andry A, et al. Use of a web-based risk appraisal tool for assessing family history and lifestyle factors in primary care. J Gen Intern Med. 2013;28(6):817–24.CrossRefPubMedPubMedCentral Baer JH, Schneider IL, Colditz AG, Dart H, Andry A, et al. Use of a web-based risk appraisal tool for assessing family history and lifestyle factors in primary care. J Gen Intern Med. 2013;28(6):817–24.CrossRefPubMedPubMedCentral
19.
go back to reference Murray FM, Giovanni AM, Klinger E, George E, Marinacci L, et al. Comparing electronic health record portals to obtain patient-entered family health history in primary care. J Gen Intern Med. 2013;28(12):1558–64.CrossRefPubMedPubMedCentral Murray FM, Giovanni AM, Klinger E, George E, Marinacci L, et al. Comparing electronic health record portals to obtain patient-entered family health history in primary care. J Gen Intern Med. 2013;28(12):1558–64.CrossRefPubMedPubMedCentral
20.
go back to reference Dekker N, Hermens PR, Mensenkamp RA, van Zelst-Stams AW, Hoogerbrugge N. Easy-to-use online referral test detects most patients with a high familial risk of colorectal cancer. Colorectal Dis. 2014;16(1):O26–34.CrossRefPubMed Dekker N, Hermens PR, Mensenkamp RA, van Zelst-Stams AW, Hoogerbrugge N. Easy-to-use online referral test detects most patients with a high familial risk of colorectal cancer. Colorectal Dis. 2014;16(1):O26–34.CrossRefPubMed
21.
go back to reference Simon S. The Impact of Culture and Gender on Web Sites: An Empirical Study. The DATA BASE for Advances in Information Systems. 2001;32(1):19.CrossRef Simon S. The Impact of Culture and Gender on Web Sites: An Empirical Study. The DATA BASE for Advances in Information Systems. 2001;32(1):19.CrossRef
22.
go back to reference Becker S. A study of Web usability for older adults seeking online health resources. ACM Tran Comput-Hum Interact. 2004;11(4):387–406.CrossRef Becker S. A study of Web usability for older adults seeking online health resources. ACM Tran Comput-Hum Interact. 2004;11(4):387–406.CrossRef
23.
go back to reference Lewis JR. IBM computer usability satisfaction questionnaires: Psychometric evaluation and instructions for use. Int J Hum-Comput Interact (IJHCI). 1995;7(1):57–78.CrossRef Lewis JR. IBM computer usability satisfaction questionnaires: Psychometric evaluation and instructions for use. Int J Hum-Comput Interact (IJHCI). 1995;7(1):57–78.CrossRef
24.
go back to reference Bortz J, Doering N. Forschungsmethoden und Evaluation [Research Methods and Evaluation]. Heidelberg, Germany: Springer; 1995.CrossRef Bortz J, Doering N. Forschungsmethoden und Evaluation [Research Methods and Evaluation]. Heidelberg, Germany: Springer; 1995.CrossRef
25.
go back to reference Little RJA. A test of missing completely at random for multivariate data with missing values. J Am Stat Assoc. 1988;83:1198–202.CrossRef Little RJA. A test of missing completely at random for multivariate data with missing values. J Am Stat Assoc. 1988;83:1198–202.CrossRef
Metadata
Title
Family history assessment for colorectal cancer (CRC) risk analysis - comparison of diagram- and questionnaire-based web interfaces
Authors
Michael Schultz
Steven Bohwan Seo
Alec Holt
Holger Regenbrecht
Publication date
01-12-2015
Publisher
BioMed Central
Published in
BMC Medical Informatics and Decision Making / Issue 1/2015
Electronic ISSN: 1472-6947
DOI
https://doi.org/10.1186/s12911-015-0211-1

Other articles of this Issue 1/2015

BMC Medical Informatics and Decision Making 1/2015 Go to the issue