Steele Amy, Johnson Jane, Nance Amy, Satterfield Robert, Alverson C J, Mai Cara
Data Resources Program, Bureau of Maternal Child Health, Division of Family Health and Preparedness, Utah Department of Health, Salt Lake City, Utah.
Utah Birth Defect Network, Bureau of Children with Special Health Care Needs, Division of Family Health and Preparedness, Utah Department of Health, Salt Lake City, Utah.
Birth Defects Res A Clin Mol Teratol. 2016 Nov;106(11):983-988. doi: 10.1002/bdra.23593.
Obtaining accurate microcephaly prevalence is important given the recent association between microcephaly and Zika virus. Assessing the quality of data sources can guide surveillance programs as they focus their data collection efforts. The Utah Birth Defect Network (UBDN) has monitored microcephaly by data sources since 2003. The objective of this study was to examine the impact of reporting sources for microcephaly surveillance.
All reported cases of microcephaly among Utah mothers from 2003 to 2013 were clinically reviewed and confirmed. The UBDN database was linked to state vital records and hospital discharge data for analysis. Reporting sources were analyzed for positive predictive value and sensitivity.
Of the 477 reported cases of microcephaly, 251 (52.6%) were confirmed as true cases. The UBDN identified 94 additional cases that were reported to the surveillance system as another birth defect, but were ultimately determined to be true microcephaly cases. The prevalence for microcephaly based on the UBDN medical record abstraction and clinical review was 8.2 per 10,000 live births. Data sources varied in the number and accuracy of reporting, but a case was more likely to be a true case if identified from multiple sources than from a single source.
While some reporting sources are more likely to identify possible and true microcephaly cases, maintaining a multiple source methodology allows for more complete case ascertainment. Surveillance programs should conduct periodic assessments of data sources to ensure their systems are capturing all possible birth defects cases. Birth Defects Research (Part A) 106:983-988, 2016. © 2016 Wiley Periodicals, Inc.
鉴于小头畸形与寨卡病毒之间最近的关联,获取准确的小头畸形患病率很重要。评估数据来源的质量可以指导监测项目,因为它们会集中精力进行数据收集。自2003年以来,犹他州出生缺陷网络(UBDN)一直通过数据来源监测小头畸形。本研究的目的是检验小头畸形监测报告来源的影响。
对2003年至2013年犹他州母亲中所有报告的小头畸形病例进行临床复查和确认。将UBDN数据库与州生命记录和医院出院数据相链接进行分析。对报告来源进行阳性预测值和敏感性分析。
在477例报告的小头畸形病例中,251例(52.6%)被确认为真实病例。UBDN还识别出另外94例病例,这些病例在监测系统中被报告为其他出生缺陷,但最终被确定为真正的小头畸形病例。基于UBDN病历摘要和临床复查的小头畸形患病率为每10000例活产8.2例。数据来源在报告数量和准确性方面各不相同,但从多个来源识别出的病例比从单一来源识别出的病例更有可能是真实病例。
虽然一些报告来源更有可能识别出可能的和真正小头畸形病例,但采用多来源方法可以更全面地确定病例。监测项目应定期评估数据来源,以确保其系统能够捕获所有可能的出生缺陷病例。《出生缺陷研究(A部分)》106:983-988,2016年。©2016威利期刊公司。