Using a Modified Delphi Approach to Gain Consensus on Relevant Comparators in a Cost-Effectiveness Model: Application to Prostate Cancer Screening.

<bold>Objective: </bold>Challenges can exist when framing the decision question in a cost-effectiveness analysis, particularly when there is disagreement among experts on relevant comparators. Using prostate cancer screening and recent developments in risk stratification, early-detection biomarkers, and diagnostic technologies as a case study, we report a modified Delphi approach to handle decision-question uncertainty.<bold>Methods: </bold>The study involved two rounds of anonymous online questionnaires to identify the prostate cancer screening strategies that international researchers, clinicians and decision makers felt important to consider in a cost-effectiveness model. Both purposive and snowball sampling were used to recruit experts. The questionnaire was based on a review of the literature and was piloted for language, comprehension and ease of use prior to dissemination. In Round 1, respondents indicated their preferred screening strategy (including no screening) through a series of multiple-choice questions. The responses informed a set of 13 consensus statements, which respondents ranked their agreement with on a 9-point Likert scale (Round 2). Consensus was considered reached if > 70% of participants indicated agreement and < 15% indicated disagreement.<bold>Results: </bold>Twenty participants completed Round 1 and 17 completed Round 2. Consensus was shown towards comparing no formal screening, age-based, and risk-based strategies. The risk-based approaches included screening only higher-risk men, using shorter screening intervals for higher-risk men, screening higher-risk men at an earlier age, and tailoring screening intervals based on prostate-specific antigen (PSA) level at a previous test. There was agreement that inclusion of MRI in the pathway should be considered, but disagreement on the inclusion of new biomarkers.<bold>Conclusion: </bold>In disease areas where technologies are rapidly evolving, a modified Delphi approach provides a useful tool to identify relevant comparators in an economic evaluation. [ABSTRACT FROM AUTHOR]