alexa The impact of a novel computer-based decision aid on shared decision making for colorectal cancer screening: a randomized trial.
Engineering

Engineering

Journal of Information Technology & Software Engineering

Author(s): Schroy PC rd, Emmons K, Peters E, Glick JT, Robinson PA,

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Abstract BACKGROUND: Eliciting patients' preferences within a framework of shared decision making (SDM) has been advocated as a strategy for increasing colorectal cancer (CRC) screening adherence. Our objective was to assess the effectiveness of a novel decision aid on SDM in the primary care setting. METHODS: An interactive, computer-based decision aid for CRC screening was developed and evaluated within the context of a randomized controlled trial. A total of 665 average-risk patients (mean age, 57 years; 60\% female; 63\% black, 6\% Hispanic) were allocated to 1 of 2 intervention arms (decision aid alone, decision aid plus personalized risk assessment) or a control arm. The interventions were delivered just prior to a scheduled primary care visit. Outcome measures (patient preferences, knowledge, satisfaction with the decision-making process [SDMP], concordance between patient preference and test ordered, and intentions) were evaluated using prestudy/poststudy visit questionnaires and electronic scheduling. RESULTS: Overall, 95\% of patients in the intervention arms identified a preferred screening option based on values placed on individual test features. Mean cumulative knowledge, SDMP, and intention scores were significantly higher for both intervention groups compared with the control group. Concordance between patient preference and test ordered was 59\%. Patients who preferred colonoscopy were more likely to have a test ordered than those who preferred an alternative option (83\% v. 70\%; P < 0.01). Intention scores were significantly higher when the test ordered reflected patient preferences. CONCLUSIONS: Our interactive computer-based decision aid facilitates SDM, but overall effectiveness is determined by the extent to which providers comply with patient preferences.
This article was published in Med Decis Making and referenced in Journal of Information Technology & Software Engineering

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