Development of the Benefit-Risk Assessment of Complementary and Alternative Medicine Use in People With Diabetes: A Delphi-Analytic Hierarchy Process Approach.

This study aimed to develop consensus on a decision-making algorithm for benefit-risk assessment of complementary and alternative medicine use in people with diabetes. Delphi-analytic hierarchy process was used with an anonymous voting scheme, based on a three-round procedure, to achieve consensus regarding the important criteria of decision-making algorithm to assess the benefit-risk ratio of complementary and alternative medicine use in people with diabetes. A total of five criteria were considered, namely, the safety of usage (weightage: 46.6%), diabetes-specific patient data (14.6%), complementary and alternative medicine attributes (14.2%), institutional culture in complementary and alternative medicine use (12.8%), and applicability of complementary and alternative medicine (11.8%). The consistency of this hierarchy structure was computed based on the following indices: λmax = 5.041, consistency index = 0.01; random consistency index =1.781; and consistency ratio = 0.009. All criteria to optimize decision-making in ensuring safe use of complementary and alternative medicine in patients with diabetes should be considered by healthcare professionals.