H-1 A COMPUTER-BASED DECISION AID FOR COLORECTAL CANCER (CRC) SCREENING INCREASES PATIENT KNOWLEDGE, SATISFACTION WITH DECISION-MAKING AND INTENTION TO BE SCREENED

Tuesday, October 21, 2008: 2:30 PM
Grand Ballroom B/C (Hyatt Regency Penns Landing)
Paul C. Schroy III, MD, MPH1, Karen Emmons, PhD2, Ellen Peters, Ph.D.3, Julie Glick, MPH4, Patricia Robinson, BSN, MEd4, Maria Lydotes, BEd4, Shamini Mylvaganam, MPH4, Stephen R. Evans, MPH5, Marianne Prout, MD, MPH6, Peter Davidson, MD4 and Michael Pignone, MD, MPH7, (1)Boston University School of Medicine, Boston, MA, (2)Dana Farber Cancer Institute, Boston, MA, (3)Decision Research, Eugene, OR, (4)Boston Medical Center, Boston, MA, (5)Data Coordinating Center, Boston University School of Public Health, Boston, MA, (6)Boston University School of Public Health, Boston, MA, (7)University of North Carolina- Chapel Hill, Chapel Hill, NC

Purpose: Shared decision-making has been advocated as a potentially effective strategy for increasing patient adherence to CRC screening recommendations. To facilitate this process, we have developed an interactive, computer-based decision aid to educate patients about the pros and cons of the 5 currently recommended CRC screening options and enable them to identify a preferred option based on personal values. Our decision aid employs videotaped narratives and state-of-the-art graphics to convey key information about CRC and the importance of screening, compare each option using both attribute- and option-based approaches, and elicit patient preferences. The goal of this study was to assess the impact of our decision aid on user knowledge, satisfaction with the decision-making process and intention to complete a screening test. Methods: Asymptomatic, average-risk patients (age, 50-75) without prior screening (except possibly fecal occult blood testing) were randomized to one of two intervention arms (I = decision aid plus personalized risk assessment; II = decision aid alone) or a control arm. The interventions took place just prior to a scheduled visit prearranged by their primary care providers to discuss CRC screening. After meeting with their providers, subjects were asked to complete a self-administered posttest that included 12 true-false knowledge questions, the 12-item “satisfaction with the decision-making process” scale and a single item “intention” scale. Intergroup comparisons were performed using Chi-square analysis or ANOVA. Results: A total of 562 English-speaking subjects (mean age, 57 years; 60% female; 61% Black, 6% Hispanics) were randomized. The 3 groups were well-balanced with respect to age, sex, race, ethnicity and education. Results are summarized in the table below. Mean cumulative knowledge scores, mean cumulative satisfaction with decision-making process scores and mean intention scores were significantly higher for both intervention groups compared with the control group. Conclusions: Our interactive computer-based decision aid increases patient knowledge about CRC and screening, satisfaction with the decision-making process and intention to be screened.

 

 

Mean Score (S.D.)

 

Scoring
System

Intervention I

Intervention II

Control

Posttest Knowledge

Max=12

10.6 (1.8)*

10.8 (1.7)*

8.6 (2.4)

Satisfaction with
Decision-Making Process

Max=60

50.8 (5.8)*

50.6 (5.6)*

47.1 (7.8)

Intention

Likert 1-5
(5= very likely to 1=very unlikely)

4.3 (1.1)*

4.3 (1.0)*

3.9 (1.3)

*Intervention(s) vs. Control, P<0.001