Evaluating Washington State's Immunization Information System as a Research Tool
Evaluating Washington State's Immunization Information System as a Research Tool
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DOI：
10.1016/j.acap.2013.10.002
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发表时间：
2014-01-01
影响因子：
3.1
通讯作者：
Grossman, David C.
中科院分区：
文献类型：
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作者：
Jackson, Michael L.;Henrikson, Nora B.;Grossman, David C.
目的：免疫信息系统(IISS)是开展疫苗接种活动的有力公共卫生工具。然而，到目前为止，它们在公共卫生研究中的使用一直受到限制，部分原因是对IIS数据的准确性和质量了解不足。我们评估了华盛顿州IIS(WAIIS)数据的完整性和准确性，特别关注了研究兴趣的数据元素。方法：我们分析了2006-2010年间出生的所有儿童的所有WAIIS记录，这些儿童在2006-2010年间至少接种了一次疫苗。我们评估了所有变量的完整性，并测试了选定变量的内部效度。为了评估外部效度，我们将WAIIS的数据与华盛顿州大型综合医疗保健组织Group Health的记录进行了匹配。在这些儿童中，我们比较了WARS中的疫苗接种数据和团体健康组织免疫登记中的疫苗接种数据。结果：WARS数据包括486,265名儿童和8,670,234名独特的疫苗接种。WAIIS要求的变量(如接种疫苗的日期)非常完整，但可选变量往往缺失。例如，大多数记录遗漏了接种疫苗的路线(80.7%)和解剖部位(81.7%)的数据。WAIIS数据在完成后，相对于群体健康免疫登记具有很高的准确性，疫苗接种代码和解剖部位等领域之间的符合率为96%到99%。结论：战争中所需的数据元素高度完整，具有内部和外部有效性，表明这些变量对研究有用。需要非必需变量的研究在继续之前应该使用额外的有效性检查。
OBJECTIVE: Immunization information systems (IISs) are powerful public health tools for vaccination activities. To date, however, their use for public health research has been limited, in part as a result of insufficient understanding on accuracy and quality of IIS data. We evaluated the completeness and accuracy of Washington State IIS (WAIIS) data, with particular attention to data elements of research interest.METHODS: We analyzed all WAIIS records on all children born between 2006 and 2010 with at least 1 vaccination recorded in WAIIS between 2006 and 2010. We assessed all variables for completeness and tested selected variables for internal validity. To assess external validity, we matched WAIIS data to records from Group Health, a large integrated health care organization in Washington State. On these children, we compared vaccination data in WARS with vaccination data from Group Health's immunization registry.RESULTS: The WARS data included 486,265 children and 8,670,234 unique vaccinations. Variables required by WAIIS (such as date of vaccination) were highly complete, but optional variables were often missing. For example, most records were missing data on route.(80.7%) and anatomic site (81.7%) of vaccination. WAIIS data, when complete, were highly accurate relative to the Group Health immunization registry, with 96% to 99% agreement between fields such as vaccination code and anatomic site.CONCLUSIONS: Required data elements in WARS are highly complete and have both internal and external validity, suggesting that these variables are useful for research. Research requiring nonrequired variables should use additional validity checks before proceeding.