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Keywords

Benefit risk assessment, Complementary and alternative medicine, Consensus guidelines, Decision-making algorithm

 

Authors

  1. Chang, Hsiao-Yun PhD, MN, BN, RN
  2. Lo, Chia-Lun PhD
  3. Chang, Hwai-Luh MD

Abstract

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: [lambda]max = 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.