积极和被动监控策略的比较,用于纽约的出生缺陷的选择
Meredith M Howley1,2, Eva Williford1, Amanda M St Louis1
1Birth Defects Registry, New York State Department of Health, Albany, New York, USA.
Birth defects research
|September 6, 2024
概括
积极监测提高了出生缺陷数据的准确性,证实了被动监测发现的病例. 然而,被动监控错过了一些案例,突出了针对特定条件的数据质量有针对性的改进的需要.
科学领域:
- 公共卫生监督 公共卫生监督
- 儿科流行病学 儿科流行病学
- 出生缺陷的研究研究研究.
背景情况:
- 纽约州出生缺陷登记 (BDR) 采用了被动和主动监控方法.
- 被动监控收集ICD-10代码和叙述,而积极监控涉及详细的医疗记录抽象和临床医生审查特定缺陷.
- 了解这两种方法之间的协议对于优化公共卫生数据收集至关重要.
研究的目的:
- 量化纽约州出生缺陷登记所使用的被动和主动监控方法之间的一致性.
- 通过将被动监控数据与各种出生缺陷的积极监控发现进行比较,评估被动监控数据的准确性.
主要方法:
- 分析包括从2018年到2021年在积极监测县的1069名活产婴儿,患有16种特定的出生缺陷.
- 积极预测值 (PPV) 被计算出来,以确定通过被动监测报告的病例中,通过积极监测确认的病例的比例.
- 还计算了被动监控错过的出生缺陷的百分比.
主要成果:
- 在不同的出生缺陷中,正预测值 (PPV) 差异很大.
- 高PPV (>90%) 被观察到胃和裂唇.
- 较低的PPV (<70%) 发现了脊柱裂变,隔膜,大动脉,三动脉缩,心脏左侧缺血综合征,大动脉缩和肺动脉缩. 通过被动监测错过的病例的百分比在2%至39%之间.
结论:
- 积极监测有效地证实了某些先天缺陷,但并不是所有疾病的普遍必要.
- 这些发现可以指导被动监测计划制定有针对性的策略,以提高特定出生缺陷的数据质量.
- 建议通过有针对性的积极监测努力,优化对出生缺陷监测的资源配置.
相关概念视频
01:08Data Collection by Observations
Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
01:19Pharmacovigilance
Post-marketing surveillance is a critical component of pharmaceutical regulation, often uncovering unanticipated adverse drug reactions (ADRs) once a drug is widely used over an extended period.
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
01:26Principles 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...