YANG Hai 1,2 , LUO Li 1,2 , TANG Mi 1,2 , LV Lanting 3,4 , LIN Xia 5 , BAI Fei 5
  • 1. Sixth People’s Hospital, Shanghai Jiao Tong University, Shanghai, 200233, P.R.China;
  • 2. Research Institute of Hospital Business and Management, National Institute of Hospital Development, Shanghai Jiao Tong University, Shanghai, 200233, P.R.China;
  • 3. School of Public Administration and Policy, Renmin University of China, Beijing, 100872, P.R.China;
  • 4. Center for Health Technology Assessment and Medical Policy, Renmin University of China, Beijing, 100872, P.R.China;
  • 5. National Center for Medical Service Administration, National Health Commission of the People’s Republic of China, Beijing, 100086, P.R.China;
BAI Fei, Email: gsyzbf@163.com
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Objectives To explore classification management method of evidence-based evidence for medical consumables based on cost multiplication and to conduct empirical test.Methods Four quadrants was used to explore the classification management of consumables evidence.Results 95.22% of the “recommended” items in the consumables department were “recommended” by the group. 100% of group “recommended” items passed the committee resolution. Advice of consumables department and group was highly relevant with decision of commission.Conclusions One-dimensional recommendations allow the decision-making of group and committee to be more convenient. Cost calculation is based on all consumables required for medical treatment, which is similar to reality. The classification threshold requires further optimization, and the classification basis requires continual adjustment under different conditions of hospital. The evidence-based evidence evaluation method for medical consumables based on incremental cost ratio is a simple and rapid hospital health technology assessment method suitable for China’s national conditions.

Citation: YANG Hai, LUO Li, TANG Mi, LV Lanting, LIN Xia, BAI Fei. Exploration of classification management method of evidence-based evidence for medical consumables based on cost multiplication. Chinese Journal of Evidence-Based Medicine, 2020, 20(3): 340-344. doi: 10.7507/1672-2531.201905069 Copy

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