One of the most important aspects of any surveillance system is degree of completeness. We conducted a multiple source capture-recapture study using the 1994 Massachusetts Uniform Hospital Discharge Data Set (UHDDS) and Medicaid claims data to evaluate the completeness of the state's AIDS registry. We used encrypted social security numbers as the primary link to ensure confidentiality. For cases that did not link in the first round owing to missing social security numbers, we linked using gender and date of birth. Staff reviewed unmatched records from the Uniform Hospital Discharge Data Set and Medicaid datasets to determine subjects' AIDS case status. Using the Uniform Hospital Discharge Data Set, the AIDS registry was 92.6% complete (95% confidence interval (CI) = 91.6-93.5). The Medicaid claims dataset suggested the AIDS registry to be 94.5% complete (95% confidence interval = 93.7-95.3). The completeness of reporting to the state AIDS registry continues to be high, but there are differences by gender and mode of transmission of the virus. The continued assessment of completeness of reporting is important to ensure quality of the surveillance database over time.

译文

任何监视系统最重要的方面之一是完整性程度。我们使用1994马萨诸塞州统一医院出院数据集 (UHDDS) 和医疗补助索赔数据进行了多源捕获-再捕获研究,以评估该州艾滋病登记的完整性。我们使用加密的社会安全号码作为主要链接,以确保机密性。对于由于缺少社会保障号码而在第一轮中没有联系的案件,我们使用性别和出生日期进行联系。工作人员审查了统一医院出院数据集和医疗补助数据集中的无与伦比的记录,以确定受试者的艾滋病病例状况。使用统一的出院数据集,艾滋病登记92.6% 完整 (95% 置信区间 (CI) = 91.6-93.5)。医疗补助索赔数据集建议艾滋病登记94.5% 完整 (95% 置信区间 = 93.7-95.3)。向国家艾滋病登记处报告的完整性仍然很高,但在性别和病毒传播方式方面存在差异。持续评估报告的完整性对于确保长期以来监视数据库的质量非常重要。

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