Author Affiliations: School of Nursing (Dr Chang) and Department of Health-Business Administration, Fooyin University, Kaohsiung (Dr Lo); and Department of Medicine, Tao-Yuan General Hospital, Taoyuan (Dr Chang), Taiwan.
Comput Inform Nurs. 2021 Apr 16;39(7):384-391. doi: 10.1097/CIN.0000000000000749.
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.
本研究旨在就糖尿病患者使用补充和替代医学的获益-风险评估决策算法达成共识。采用德尔菲分析层次过程，并基于匿名投票方案，进行三轮程序，就评估糖尿病患者使用补充和替代医学的获益-风险比的决策算法的重要标准达成共识。共考虑了五个标准，即使用的安全性（权重：46.6%）、糖尿病特定患者数据（14.6%）、补充和替代医学属性（14.2%）、补充和替代医学使用中的机构文化（12.8%）和补充和替代医学的适用性（11.8%）。该层次结构的一致性是基于以下指标计算的：λmax = 5.041，一致性指数 = 0.01；随机一致性指数 =1.781；和一致性比 = 0.009。医疗保健专业人员应考虑所有标准，以优化决策，确保糖尿病患者安全使用补充和替代医学。
