高一歌, 杨磊, 陈涛, 杨静, 舒跃龙. 基于TOPSIS和秩和比法评估2013-2019年我国流感样病例监测工作质量[J]. 疾病监测, 2022, 37(1): 102-107. DOI: 10.3784/jbjc.202104290239
引用本文: 高一歌, 杨磊, 陈涛, 杨静, 舒跃龙. 基于TOPSIS和秩和比法评估2013-2019年我国流感样病例监测工作质量[J]. 疾病监测, 2022, 37(1): 102-107. DOI: 10.3784/jbjc.202104290239
Gao Yige, Yang Lei, Chen Tao, Yang Jing, Shu Yuelong. TOPSIS and RSR method based comprehensive evaluation of quality of influenza-like illness surveillance in China, 2013–2019[J]. Disease Surveillance, 2022, 37(1): 102-107. DOI: 10.3784/jbjc.202104290239
Citation: Gao Yige, Yang Lei, Chen Tao, Yang Jing, Shu Yuelong. TOPSIS and RSR method based comprehensive evaluation of quality of influenza-like illness surveillance in China, 2013–2019[J]. Disease Surveillance, 2022, 37(1): 102-107. DOI: 10.3784/jbjc.202104290239

基于TOPSIS和秩和比法评估2013-2019年我国流感样病例监测工作质量

TOPSIS and RSR method based comprehensive evaluation of quality of influenza-like illness surveillance in China, 2013–2019

  • 摘要:
      目的  应用TOPSIS法和秩和比法(RSR)对全国哨点医院和网络实验室的流感样病例(ILI)监测工作质量进行综合评价,并探讨TOPSIS法和秩和比法在流感监测工作质量评价中应用的适用性。
      方法  参考《全国流感监测工作质量评估方案》,分别选取哨点医院的5个指标和网络实验室的6个指标,采用TOPSIS法结合RSR分别对2013 — 2019年全国流感监测哨点医院和网络实验室进行工作质量综合评价。
      结果  TOPSIS结果显示,2013 — 2019年哨点医院和实验室C值的第1个四分位数,中位数和第3个四分位数均逐年升高。 RSR分档结果显示,哨点医院与实验室各档分档界值总体呈升高趋势;与2013年相比,188个哨点医院在2019年档次上升,99个档次下降,224个档次无变化;113个网络实验室在2019年档次上升,74个档次下降,128个档次无变化。
      结论  2013 — 2019年全国哨点医院和网络实验室监测质量总体呈上升趋势。 TOPSIS法结合RSR评价结果客观可靠,能够应用于ILI监测工作质量评价。

     

    Abstract:
      Objectives  Technique for order preference by similarity to ideal solution (TOPSIS) and rank-sum ratio (RSR) were used to evaluate the quality of surveillance of influenza-like illness in sentinel hospitals and network laboratories in China. In addition, the applicability of TOPSIS and RSR in evaluating the quality of influenza surveillance was also discussed.
      Methods  Indicators were selected according to the national influenza surveillance program for a comprehensive evaluation of the performance of sentinel hospitals (5 indicators) and network laboratories (6 indicators) in China from 2013 to 2019 by using TOPSIS and RSR.
      Results  TOPSIS results showed that the first, median, and third quartiles of C values in sentinel hospitals and laboratories increased from 2013 to 2019. RSR results showed that the grading boundaries of sentinel hospitals and laboratories showed an overall increasing trend. Compared with 2013, the RSR grade increased in 188 sentinel hospitals, decreased in 99 sentinel hospitals and remained in 224 sentinel hospitals in 2019, and the RSR grade increased in 113 laboratories, decreased in 76 laboratories and remained in 128 laboratories in 2019.
      Conclusion  The overall surveillance quality of sentinel hospitals and network laboratories in China has been improved. The results of TOPSIS and RSR were objective and reliable, which could be applied in the quality evaluation of influenza-like illness surveillance.

     

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