Devlin Heather M, Desai Jay, Walaszek Anne
Minnesota Diabetes Program, Minnesota Department of Health, St. Paul, MN 55164-0882, USA.
Matern Child Health J. 2009 Sep;13(5):660-6. doi: 10.1007/s10995-008-0390-9. Epub 2008 Sep 3.
Public health surveillance of diabetes during pregnancy is needed. Birth certificate and hospital discharge data are population-based, routinely available and economical to obtain and analyze, but their quality has been criticized. It is important to understand the usefulness and limitations of these data sources for surveillance of diabetes during pregnancy.
We conducted a comprehensive literature review to summarize the validity of birth certificate and hospital discharge data for identifying diabetes-complicated births.
Sensitivities for birth certificate data identifying prepregnancy diabetes mellitus (PDM) ranged from 47% to 52%, median 50% (kappas: min = 0.210, med = 0.497, max = 0.523). Sensitivities for birth certificate data identifying gestational diabetes mellitus (GDM) ranged from 46% to 83%, median 65% (kappas: min = 0.545, med = 0.667, max = 0.828). Sensitivities for the two studies using hospital discharge data for identifying PDM were 78% and 95% (kappas: 0.839 and 0.964), and for GDM were 71% and 81% (kappas: 0.584 and 0.840). Specificities were consistently above 98% for both data sources.
Overall, hospital discharge data performed better than birth certificates, marginally so for identifying GDM but substantially so for identifying PDM. Reports based on either source alone should focus on trends and disparities and include the caveat that results under represent the problem. Linking the two data sources may improve identification of both GDM and PDM cases.
孕期糖尿病的公共卫生监测很有必要。出生证明和医院出院数据以人群为基础,常规可得,获取和分析成本较低,但它们的质量受到了批评。了解这些数据源在孕期糖尿病监测中的有用性和局限性很重要。
我们进行了一项全面的文献综述,以总结出生证明和医院出院数据在识别糖尿病合并分娩方面的有效性。
出生证明数据识别孕前糖尿病(PDM)的敏感性范围为47%至52%,中位数为50%(卡帕值:最小值 = 0.210,中位数 = 0.497,最大值 = 0.523)。出生证明数据识别妊娠期糖尿病(GDM)的敏感性范围为46%至83%,中位数为65%(卡帕值:最小值 = 0.545,中位数 = 0.667,最大值 = 0.828)。两项使用医院出院数据识别PDM的研究敏感性分别为78%和95%(卡帕值:0.839和0.964),识别GDM的敏感性分别为71%和81%(卡帕值:0.584和0.840)。两种数据源的特异性均始终高于98%。
总体而言,医院出院数据比出生证明表现更好——在识别GDM方面略好,在识别PDM方面则显著更好。仅基于任一来源生成的报告应关注趋势和差异,并注明结果可能低估了问题。将这两个数据源联系起来可能会改善GDM和PDM病例的识别。