Quality evaluation of adverse drug reaction reports in clinical departments based on game theory combinatorial weighting-TOPSIS-rank-sum ratio method
- VernacularTitle:博弈论组合赋权-TOPSIS-秩和比法评价临床科室/病区药品不良反应报告质量
- Author:
Haikun WANG
1
;
Zichuang MA
2
;
Na WU
1
;
Aizong SHEN
3
;
Xiangdong JIANG
4
;
Maomao ZHANG
4
;
Dan SU
5
Author Information
1. Dept. of Pharmacy，Bozhou Hospital of Anhui Medical University，Anhui Bozhou 236800，China
2. Dept. of Pharmacy，Bozhou Hospital of Anhui Medical University，Anhui Bozhou 236800，China;School of Pharmaceutical Sciences，Anhui Medical University，Hefei 230032，China
3. Dept. of Pharmacy，the First Affiliated Hospital of University of Science and Technology of China，Hefei 230001，China
4. Bozhou Adverse Drug Reaction （Event） and Medical Device Monitoring Center，Anhui Bozhou 236800，China
5. Health Management Center，the First Affiliated Hospital of University of Science and Technology of China，Hefei 230001，China
- Publication Type:Journal Article
- Keywords:
game theory combinatorial weighting;
TOPSIS method;
rank-sum ratio method;
adverse drug reaction;
reporting
- From:
China Pharmacy
2025;36(23):2969-2973
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE To comprehensively evaluate the quality of adverse drug reaction （ADR） reports in clinical departments or ward （hereinafter referred to as “department”） based on game theory combinatorial weighting-technique for order preference by similarity to ideal solution （TOPSIS）-rank-sum ratio （RSR） method， providing a reference for the further standardization of ADR reporting. METHODS Based on relevant documents and scoring criteria， the ADR report quality evaluation standards previously developed by our team were modified. Using game theory principles， the fusion of subjective and objective weights for each indicator was determined. A game theory combinatorial weighting-TOPSIS-RSR model was developed to evaluate and categorize the quality of raw ADR reports submitted by departments to the pharmacy department at Bozhou Hospital of Anhui Medical University. RESULTS A total of 222 ADR reports from 23 departments were included. The game theory combinatorial weighting method identifies weak points in management， such as ADR symptoms and signs， the description of underlying diseases， timing of ADR， by optimizing the weightings of the indicators. The TOPSIS-RSR method calculates that the mean relative closeness of the departments was 0.401 7， indicating that the overall report quality ranged from moderate to substandard. 20095） Three departments， including neurosurgery， demonstrated medium reporting quality [estinate closeness （Ĉ）i ≥0.506]， while two departments， such as the respiratory department，were rated as unqualified （Ĉi＜0.278）. The remaining departments were all deemed qualified （0.278≤ Ĉi＜0.506）. CONCLUSIONS The developed game theory combinatorial weighting-TOPSIS-RSR method provides an effective approach for the quality evaluation of ADR reports， which not only balances subjective and objective weights but also facilitates comparisons among different departments. There is still room for improvement in the ADR report quality at the hospital.
