BMC Medical Informatics and Decision Making

official impact factor 2.23

Open Access Research article

Development and initial testing of a computer-based patient decision aid to promote colorectal cancer screening for primary care practice

Jane Kim1,2*, Annie Whitney2, Sarah Hayter2, Carmen Lewis2, Marci Campbell3, Lisa Sutherland3, Beth Fowler3, Sue Googe4, Regina McCoy3 and Michael Pignone2

Author Affiliations

1 Preventive Medicine Residency Program, University of North Carolina, Chapel Hill, NC, USA

2 Division of General Internal Medicine, Department of Medicine, University of North Carolina, Chapel Hill, NC, USA

3 Department of Nutrition, University of North Carolina School of Public Health, Chapel Hill, NC, USA

4 Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA

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BMC Medical Informatics and Decision Making 2005, 5:36 doi:10.1186/1472-6947-5-36

Published: 28 November 2005

Abstract

Background

Although colorectal cancer screening is recommended by major policy-making organizations, rates of screening remain low. Our aim was to develop a patient-directed, computer-based decision aid about colorectal cancer screening and investigate whether it could increase patient interest in screening.

Methods

We used content from evidence-based literature reviews and our previous decision aid research to develop a prototype. We performed two rounds of usability testing with representative patients to revise the content and format. The final decision aid consisted of an introductory segment, four test-specific segments, and information to allow comparison of the tests across several key parameters. We then conducted a before-after uncontrolled trial of 80 patients 50–75 years old recruited from an academic internal medicine practice.

Results

Mean viewing time was 19 minutes. The decision aid improved patients' intent to ask providers for screening from a mean score of 2.8 (1 = not at all likely to ask, 4 = very likely to ask) before viewing the decision aid to 3.2 afterwards (difference, 0.4; p < 0.0001, paired t-test). Most found the aid useful and reported that it improved their knowledge about screening. Sixty percent said they were ready to be tested, 18% needed more information, and 22% were not ready to be screened. Within 6 months of viewing, 43% of patients had completed screening tests.

Conclusion

We conclude that a computer-based decision aid can increase patient intent to be screened and increase interest in screening. Practice Implications: This decision aid can be viewed by patients prior to provider appointments to increase motivation to be screened and to help them decide about which modality to use for screening. Further work is required to integrate the decision aid with other practice change strategies to raise screening rates to target levels.