Suppr超能文献

多水平分析相关公共卫生指标:欧洲先天畸形监测系统(EUROCAT)公共卫生指标。

Multilevel analyses of related public health indicators: The European Surveillance of Congenital Anomalies (EUROCAT) Public Health Indicators.

机构信息

Institute of Health & Society, Newcastle University, Newcastle upon Tyne, UK.

Centre for Maternal, Fetal and Infant Research, Institute of Nursing and Health Research, Ulster University, Ulster, UK.

出版信息

Paediatr Perinat Epidemiol. 2020 Mar;34(2):122-129. doi: 10.1111/ppe.12655.

Abstract

BACKGROUND

Public health organisations use public health indicators to guide health policy. Joint analysis of multiple public health indicators can provide a more comprehensive understanding of what they are intended to evaluate.

OBJECTIVE

To analyse variaitons in the prevalence of congenital anomaly-related perinatal mortality attributable to termination of pregnancy for foetal anomaly (TOPFA) and prenatal diagnosis of congenital anomaly prevalence.

METHODS

We included 55 363 cases of congenital anomalies notified to 18 EUROCAT registers in 10 countries during 2008-12. Incidence rate ratios (IRR) representing the risk of congenital anomaly-related perinatal mortality according to TOPFA and prenatal diagnosis prevalence were estimated using multilevel Poisson regression with country as a random effect. Between-country variation in congenital anomaly-related perinatal mortality was measured using random effects and compared between the null and adjusted models to estimate the percentage of variation in congenital anomaly-related perinatal mortality accounted for by TOPFA and prenatal diagnosis.

RESULTS

The risk of congenital anomaly-related perinatal mortality decreased as TOPFA and prenatal diagnosis prevalence increased (IRR 0.79, 95% confidence interval [CI] 0.72, 0.86; and IRR 0.88, 95% CI 0.79, 0.97). Modelling TOPFA and prenatal diagnosis together, the association between congenital anomaly-related perinatal mortality and TOPFA prevalence became stronger (RR 0.70, 95% CI 0.61, 0.81). The prevalence of TOPFA and prenatal diagnosis accounted for 75.5% and 37.7% of the between-country variation in perinatal mortality, respectively.

CONCLUSION

We demonstrated an approach for analysing inter-linked public health indicators. In this example, as TOPFA and prenatal diagnosis of congenital anomaly prevalence decreased, the risk of congenital anomaly-related perinatal mortality increased. Much of the between-country variation in congenital anomaly-related perinatal mortality was accounted for by TOPFA, with a smaller proportion accounted for by prenatal diagnosis.

摘要

背景

公共卫生组织使用公共卫生指标来指导卫生政策。对多个公共卫生指标进行联合分析,可以更全面地了解它们的评估目的。

目的

分析因胎儿异常行终止妊娠(TOPFA)和产前诊断先天异常而导致的与先天异常相关围产儿死亡的流行率变化。

方法

我们纳入了 2008 年至 2012 年期间 10 个国家的 18 个 EUROCAT 登记处报告的 55363 例先天异常病例。采用多水平泊松回归,以国家为随机效应,估计代表因 TOPFA 和产前诊断先天异常流行率而导致的与先天异常相关围产儿死亡的风险比(IRR)。采用随机效应测量与先天异常相关的围产儿死亡率的国家间差异,并在零模型和调整模型之间进行比较,以估计因 TOPFA 和产前诊断先天异常而导致的与先天异常相关的围产儿死亡率的差异百分比。

结果

随着 TOPFA 和产前诊断先天异常的流行率增加,与先天异常相关的围产儿死亡率的风险降低(IRR 0.79,95%置信区间 [CI] 0.72,0.86;IRR 0.88,95% CI 0.79,0.97)。当联合建模 TOPFA 和产前诊断时,与先天异常相关的围产儿死亡率与 TOPFA 流行率之间的关联变得更强(RR 0.70,95% CI 0.61,0.81)。TOPFA 和产前诊断的流行率分别解释了围产儿死亡率的国家间差异的 75.5%和 37.7%。

结论

我们展示了一种分析相互关联的公共卫生指标的方法。在本示例中,随着 TOPFA 和产前诊断先天异常流行率的降低,与先天异常相关的围产儿死亡率的风险增加。与先天异常相关的围产儿死亡率的国家间差异很大程度上归因于 TOPFA,而较小比例归因于产前诊断。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24c7/7064886/9991055cb786/PPE-34-122-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验