相关实验视频

Updated: May 7, 2026

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale

Published on: August 25, 2014

马萨诸塞州新生儿戒断综合征监测系统的混合方法评估,2020-2022年

Alyssa M Pochkar^1,2,3, Hanna M Shephard³, Mahsa M Yazdy³

¹Council of State and Territorial Epidemiologists, Atlanta, Georgia.

|February 20, 2026

概括

这项研究评估了马萨诸塞州新生儿戒断综合征监测系统,发现它85.9%完成. 使用特定的ICD-10-CM代码可以改善新生儿戒断综合征的病例确诊.

科学领域:

公共卫生监督公共卫生监督
流行病学流行病学
新生儿健康新生儿健康

背景情况:

马萨诸塞州公共卫生部门实施了全州新生儿戒断综合征 (NAS) 监测系统.
该系统遵循国家和领土流行病学家委员会 (CSTE) 标准化的监测病例定义.
该评估旨在评估该系统的性能及其案件确定方法的准确性.

研究的目的:

为了评估马萨诸塞州NAS监控系统.
为了估计NAS案件确定的完整性.
为了确定用于NAS监控的ICD-10-CM代码的正预测值 (PPV).

主要方法:

通过用户调查 (n=12) 和数据报告进行系统评估.
捕获-重新捕获方法用于估计2020年4月1日至2020年9月30日出生病例确诊完整性.
使用2020年4月1日至2022年12月31日的数据进行PPV估计 (n=2,455).

主要成果:

发现NAS监控系统简单,灵活,具有代表性,可以提高及时性.
案件确定的完整性估计为85.9%.
在ICD-10-CM代码P96.1中,证实病例 (69.9%) 和所有病例类型 (95.1%) 的PPV显示为最高. 代码P04.40和P04.1A具有较低的PPV.

结论:

更高的PPV ICD-10-CM代码可以增强NAS病例确定,特别是在资源有限的环境中.
结合额外的病例确定来源可以提高整体监测的完整性.
这些发现为评估和建立使用CSTE定义的NAS监控系统提供了指导.

关键词:

完整性完整性完整性新生儿戒断综合征新生儿戒断综合征有一个积极的预测值.监控监督监督监督监督监督监督监督监督监督监督监督监督监督监督监督监督监督

更多相关视频

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

Published on: January 12, 2018

High-throughput and Comprehensive Drug Surveillance Using Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry

High-throughput and Comprehensive Drug Surveillance Using Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry

Published on: April 23, 2019

相关概念视频

Statistical Methods for Analyzing Epidemiological Data

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:

Principles of Disease Surveillance

Principles of Disease Surveillance

Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...