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一项利用基于人群的数据的综合新生儿不良结局指标:最新情况

A composite neonatal adverse outcome indicator using population-based data: an update.

作者信息

Todd S, Bowen J, Ibiebele I, Patterson J, Torvaldsen S, Ford F, Nippita M, Morris J, Randall D

机构信息

The University of Sydney Northern Clinical School, Women and Babies Research, St Leonards, NSW 2065, Australia.

Northern Sydney Local Health District, Kolling Institute, St Leonards, NSW 2065, Australia.

出版信息

Int J Popul Data Sci. 2020 Aug 12;5(1):1337. doi: 10.23889/ijpds.v5i1.1337.

Abstract

INTRODUCTION

Severe morbidity rates in neonates can be estimated using diagnosis and procedure coding in linked routinely collected retrospective data as a cost-effective way to monitor quality and safety of perinatal services. Coding changes necessitate an update to the previously published composite neonatal adverse outcome indicator for identifying infants with severe or medically significant morbidity.

OBJECTIVES

To update the neonatal adverse outcome indicator for identifying neonates with severe or medically significant morbidity, and to investigate the validity of the updated indicator.

METHODS

We audited diagnosis and procedure codes and used expert clinician input to update the components of the indicator. We used linked birth, hospital and death data for neonates born alive at 24 weeks or more in New South Wales, Australia (2002-2014) to describe the incidence of neonatal morbidity and assess the validity of the updated indicator.

RESULTS

The updated indicator included 28 diagnostic and procedure components. In our population of 1,194,681 live births, 5.44% neonates had some form of morbidity. The rate of morbidity was greater for higher-risk pregnancies and was lowest for those born at 39-40 weeks' gestation. Incidence increased over the study period for overall neonatal morbidity, and for individual components: intravenous infusion, respiratory diagnoses, and non-invasive ventilation. Severe or medically significant neonatal morbidity was associated with double the risk of hospital readmission and 10 times the risk of death within the first year of life.

CONCLUSION

The updated composite indicator has maintained concurrent and predictive validity and is a standardised, economic way to measure neonatal morbidity when using population-based data. Changes within individual components should be considered when examining longitudinal data.

摘要

引言

在常规收集的关联回顾性数据中,利用诊断和程序编码可以估算新生儿的严重发病率,这是监测围产期服务质量和安全性的一种经济有效的方法。编码变更需要更新之前发布的用于识别患有严重或具有医学意义疾病的新生儿的综合新生儿不良结局指标。

目的

更新用于识别患有严重或具有医学意义疾病的新生儿的不良结局指标,并调查更新后指标的有效性。

方法

我们审核了诊断和程序编码,并利用临床专家的意见更新了指标的组成部分。我们使用了澳大利亚新南威尔士州24周及以上存活新生儿的关联出生、医院和死亡数据(2002 - 2014年)来描述新生儿发病率,并评估更新后指标的有效性。

结果

更新后的指标包括28个诊断和程序组成部分。在我们的1,194,681例活产人群中,5.44%的新生儿患有某种形式的疾病。高危妊娠的发病率更高,而在妊娠39 - 40周出生的新生儿发病率最低。在研究期间,总体新生儿发病率以及各个组成部分(静脉输液、呼吸系统诊断和无创通气)的发病率均有所上升。严重或具有医学意义的新生儿疾病与再次入院风险增加一倍以及生命第一年死亡风险增加10倍相关。

结论

更新后的综合指标保持了同时效度和预测效度,是在使用基于人群的数据时测量新生儿发病率的一种标准化、经济的方法。在检查纵向数据时应考虑各个组成部分的变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/910f/7893849/1b11a4cc5310/ijpds-05-1337-g001.jpg

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