Page 95 - 《中国药房》2025年23期

·药学服务·

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
Δ

5 #
1＊
王海坤 ，马自创 ，吴 娜 ，沈爱宗 ，蒋向东 ，张毛毛 ，苏 丹 [1.安徽医科大学附属亳州医院药学部，安徽
4
1， 2
1
4
3
亳州 236800；2.安徽医科大学药学科学学院，合肥 230032；3.中国科学技术大学附属第一医院药学部，
合肥 230001；4.亳州市药品和医疗器械不良反应（事件）监测中心，安徽 亳州 236800；5.中国科学技术大学
附属第一医院健康管理中心，合肥 230001]
中图分类号 R95 文献标志码 A 文章编号 1001-0408（2025）23-2969-05
DOI 10.6039/j.issn.1001-0408.2025.23.15

摘 要 目的 基于博弈论组合赋权-逼近理想解排序（TOPSIS）-秩和比（RSR）法综合评价临床科室或病区（后文简称“科室”）药
品不良反应（ADR）的报告质量，为进一步规范ADR上报工作提供参考。方法 参照相关文件及评分标准，对本团队前期制定的
ADR报告质量评价标准进行修改，基于博弈论确定各评价指标的组合权重，构建博弈论组合赋权-TOPSIS-RSR模型。对安徽医
科大学附属亳州医院各科室上报至药学部的原始 ADR 报告质量进行评价并分档。结果 共纳入 23 个科室的 222 份 ADR 报告。
博弈论组合赋权通过优化指标权重识别出ADR症状、体征，原患疾病描述，ADR时间等为管理的薄弱环节。TOPSIS-RSR法计算
得出各科室相对贴近度的均值为0.401 7，整体报告质量处于中等至不合格水平。神经外科等3个科室的ADR报告质量为中等[估
计贴近度（Ĉi ）≥0.506]，呼吸科等2个科室为不合格（Ĉi＜0.278），其余科室均为合格（0.278≤Ĉi＜0.506）。结论 本研究构建的博弈
论组合赋权-TOPSIS-RSR法为ADR报告质量评价提供了一种兼顾主、客观权重且有利于科室间比较的有效方法；该院ADR报告
质量尚需进一步提升。
关键词 博弈论组合赋权法；逼近理想解排序法；秩和比法；药品不良反应；报告质量；评价标准

Quality evaluation of adverse drug reaction reports in clinical departments based on game theory
combinatorial weighting-TOPSIS-rank-sum ratio method
1
1
1， 2
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WANG Haikun ，MA Zichuang ，WU Na ，SHEN Aizong ，JIANG Xiangdong ，ZHANG Maomao ，SU Dan 5
4
4
[1. Dept. of Pharmacy， Bozhou Hospital of Anhui Medical University， Anhui Bozhou 236800， China；2. 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]
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
Δ 基金项目 安徽省临床医学研究转化专项（No.2023042951070- overall report quality ranged from moderate to substandard.
20095） Three departments， including neurosurgery， demonstrated
＊第一作者 副主任药师，副教授，硕士。研究方向：临床药学、药 medium reporting quality [estinate closeness （Ĉi ）≥0.506]，
品不良反应监测。E-mail：290414568@qq.com while two departments， such as the respiratory department，
# 通信作者 主任药师，博士研究生。研究方向：临床药学、循证医 were rated as unqualified （Ĉi＜0.278）. The remaining
学。E-mail：dansu@ustc.edu.cn departments were all deemed qualified （0.278≤ Ĉi＜0.506）.

中国药房 2025年第36卷第23期 China Pharmacy 2025 Vol. 36 No. 23 · 2969 ·