应用熵权-TOPSIS法结合RSR法综合评价2022年中国省级免疫规划信息系统业务功能完整性
Functional completeness of provincial immunization information systems in China in 2022:a comprehensive evaluation using the entropy weight-TOPSIS method combined with the RSR method
陈俊磊 1叶家楷 2宋祎凡 2李力 2张肇南 2郑鲁 3曹雷 2余文周2
作者信息
- 1. 福建省疾病预防控制中心,福建福州 350012;传染病溯源预警与智能决策全国重点实验室,中国疾病预防控制中心,北京 102206;中国疾病预防控制中心免疫规划中心,北京 100050
- 2. 传染病溯源预警与智能决策全国重点实验室,中国疾病预防控制中心,北京 102206;中国疾病预防控制中心免疫规划中心,北京 100050
- 3. 传染病溯源预警与智能决策全国重点实验室,中国疾病预防控制中心,北京 102206;中国疾病预防控制中心免疫规划中心,北京 100050;济宁市疾病预防控制中心,山东济宁 272004
- 折叠
摘要
目的 评估中国省级免疫规划信息系统业务功能完整性.方法 对2022年各省级免疫规划信息系统现况开展问卷调查,采用熵权-TOPSIS法结合RSR法综合评价省级免疫规划信息系统业务功能建设完整性.结果 各省级免疫规划信息系统6项业务功能建设完成率分别在75.0％-100％、56.3％-100％、20.0％-100％、60.0％-100％、0.0％-100％、60.0％-100％之间;TOPSIS分析显示各省级免疫规划信息系统的综合评价指标Ci值在0.163-1.000之间;RSR法分析显示,业务功能完整性处于较好、中等和较差分档的省级免疫规划信息系统数量分别为8个、24个和0个.结论 2022年省级免疫规划信息系统业务功能完整性总体较好但存在差异.建议各省级免疫规划信息系统按照国家免疫规划信息系统建设相关标准和要求进一步完善.
Abstract
Objective To evaluate the functional completeness of provincial immunization information systems in China.Methods We conducted a questionnaire-based survey on the construction status of provincial immunization information systems in China in 2022 and evaluated the completeness of their functions using the entropy weight-TOPSIS method combined with the RSR method.Results Percent completeness of six functions ranged from 75.0％-100％,56.3％-100％,20.0％-100％,60.0％-100％,0.0％-100％,and 60.0％-100％.TOPSIS analysis showed that the Ci values of comprehensive evaluation indicators for all provincial systems ranged from 0.163 to 1.000.RSR analysis showed that 8,24,and 0 provincial systems were good,medium,and poor in their completeness of functions.Conclusions Completeness of functions of provincial immunization information systems was generally good but varied by province.Each provincial system should be further improved based on national standards and requirements for the construction of immunization information systems.
关键词
免疫规划信息系统/功能/完整性/熵权-TOPSIS法/RSR法Key words
Immunization information system/Function/Completeness/Entropy weight-TOPSIS method/RSR method引用本文复制引用
出版年
2024
NETL
NSTL
万方数据