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在新西兰的行政卫生数据库中,怀孕年龄为小的编码诊断:一个验证研究

Mei-Ling Blank¹, Sarah Donald^1,2, Lianne Parkin^1,2

¹Department of Preventive and Social Medicine (Te Tari Hauora Tūmatanui) University of Otago (Ōtākou Whakaihu Waka) Dunedin New Zealand.

Health science reports

|May 1, 2025

概括

常规收集的健康数据不准确地编码为妊娠年龄 (SGA) 婴儿的小. 研究人员应使用出生体重计算器,而不是ICD-10-AM代码,以获得准确的新西兰SGA研究.

科学领域:

医疗信息学医疗信息学
新生儿研究新生儿研究
公共卫生数据分析

背景情况:

准确的识别小的妊娠年龄 (SGA) 婴儿对于研究使用例行收集的健康数据至关重要.
对SGA婴儿的不一致的编码实践可能会对研究结果的有效性和可靠性产生重大影响.
这项研究探讨了新西兰卫生数据中SGA编码不准确的影响.

研究的目的:

估计新西兰住院和死亡数据中编码的SGA诊断的敏感性和特异性.
为了确定SGA的编码精度是否根据婴儿,怀孕和母亲的特征而有所不同.
为改善SGA数据准确性提供建议.

主要方法:

利用新西兰国家卫生数据 (2005-2020年) 对887,871名婴儿.
使用Fenton和GROW计算器估计的出生体重百分比.
计算器衍生的SGA状态与ICD-10-AM编码的SGA诊断进行了比较 (P051).
采用了通用线性模型来计算灵敏度和特异性比率,并对共变量进行调整.

主要成果:

编码的SGA诊断显示敏感性低 (13.1%与Fenton相比,9.8%与GROW相比),但特异性高 (99.3%与Fenton相比,99.7%与GROW相比).
编码的SGA诊断和计算器衍生的分类之间存在重大差异.
通过计算器识别的SGA婴儿比例 (9.1%-15.6%) 远远超过了有编码诊断的婴儿 (1.8%).

结论:

在新西兰的健康数据中依赖ICD-10-AM编码的SGA诊断对研究来说是不可靠的.
关于SGA的人口水平研究应该使用经过验证的出生体重计算器来准确地分类婴儿.
需要改进数据确定方法,以确保SGA研究的完整性.

关键词:

在ICD‐1010中,出生时的体重出生时的体重.灵敏度灵敏度灵敏度灵敏度灵敏度对于妊娠年龄来说小.特殊性的特异性验证验证的时间

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