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目的分析广东省区域卫生信息平台医院门诊量随时间变化规律,检验其与流感样病例(ILI)监测系统监测点门诊量时间趋势的相关性,探索区域卫生信息平台数据替代目前哨点监测数据的可行性。方法从广东省G市和F市区域卫生信息平台中抽取数据质量较高的8家医院的2012―2014年门诊数据,同时收集“中国流感监测信息系统”(以下简称ILI系统)中G市和F市9家监测点医院2012―2014年门诊数据,对2组数据进行相关性分析,同时采用时间序列季节指数分析法分析2组数据1年中门诊量的变化规律。结果 G市和F市平台与ILI系统各月门诊量占全年门诊量百分比均较为接近,相关性分析结果显示,G市Pearson相关系数为0.646,F市为0.624(均P<0.01)。门诊量季节指数分析结果显示,G市平台季节指数>100.00%的有3―8、12月,ILI系统季节指数>100.00%的有3―7、9、12月,其中3―7、12月为共同的就诊高峰期;F市平台季节指数>100.00%的有3―8、12月,ILI系统季节指数>100.00%的有3―6月,其中3―6月为共同的就诊高峰期;折线图显示G市和F市平台与ILI系统的季节指数均有较高的相似度。结论广东省区域卫生信息平台门诊量月分布情况与ILI系统基本一致,使用平台门诊数据替代哨点监测数据基本可行。
Objective To analyze the time-varying regularity of outpatients in outpatient departments of Guangdong Provincial Regional Health Information Platform (HIS) hospitals and test their correlation with time trend of outpatients in monitoring points of influenza-like illness (ILI) monitoring system. Explore the regional health information platform data to replace the current sentinel surveillance data feasibility. Methods The data of outpatients from 2012 to 2014 in 8 hospitals with higher data quality were extracted from the regional health information platforms of G and F in Guangdong Province. At the same time, G (subscript G) was collected from “China Influenza Surveillance Information System” (hereinafter referred to as ILI system) City and F City 9 monitoring point hospital 2012-2014 outpatient data, the two groups of data correlation analysis, using time series analysis of seasonal index analysis of two sets of data changes in outpatient service volume in 1 year. Results The percentages of outpatient clinics in each city in G and F markets and outpatients in each month were all close. The correlation analysis showed that Pearson correlation coefficient was 0.646 in G city and 0.624 in F city (all P <0.01). Out-patient seasonal index analysis showed that the G-City platform seasonal index> 100.00% had 3-8 December, and the ILI system seasonal index> 100.00% had 3-7, 9 and 12 months, of which 3-7 and December For the common treatment peak; F city platform season index> 100.00% of the 3-8, December, ILI system seasonal index> 100.00% of the 3-6 months, of which 3-6 months for the common peak of treatment; The line chart shows that the G-City and F-City platforms have a high degree of similarity with the ILI system’s seasonal indices. Conclusion The monthly distribution of outpatients in the regional health information platform in Guangdong Province is basically consistent with that of the ILI system. It is basically feasible to use outpatient data of the platform instead of sentinel surveillance data.