2017年在丹麦国家患者登记处验证产科诊断和程序代码
Kamille Herskind1, Peter Bjødstrup Jensen1, Christina Anne Vinter2,3,4
1Clinical Pharmacology, Pharmacy, and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Clinical epidemiology
|February 26, 2024
概括
丹麦国家患者登记册准确地捕获了大多数怀孕和分娩数据,使其成为健康研究的可靠资源. 然而,对于高血压疾病的有效性较低,比如孕前.
科学领域:
- 生殖健康 生殖健康
- 医疗信息学 医疗信息学
- 流行病学 流行病学
背景情况:
- 丹麦国家患者登记册 (DNPR) 是健康研究的关键数据来源.
- 准确的数据对于对怀孕和分娩结果的可靠流行病学研究至关重要.
研究的目的:
- 系统地评估DNPR中怀孕,分娩和婴儿变量的有效性.
- 为了将DNPR数据与母亲的医疗记录进行比较,作为参考标准.
主要方法:
- 审查了丹麦南部的1264名母亲的医疗记录 (2017年).
- 为49个变量计算了正预测值 (PPV),负预测值 (NPV),灵敏度和特异性.
- 评估怀孕,分娩和婴儿相关数据的有效性.
主要成果:
- 高PPV (≥0.90) 对于平价,妊娠前BMI,糖尿病和之前的剖腹产.
- 降低高血压疾病的PPV,特别是孕前 (PPV0.49).
- 在分娩过程中具有高灵敏度 (0.87-1.00) 和PPV (0.98-1.00);对于APGAR分数和出生体重,PPV (1.00) 非常好.
结论:
- 在DNPR中产科编码显示了高的有效性和完整性.
- 该DNPR是对产科和婴儿结果的流行病学研究的一个有价值和可靠的资源.
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