Department of Primary Care and Public Health, Imperial College London, St Dunstan's Road, London W6 8RP, UK.
J Public Health (Oxf). 2013 Jun;35(2):298-307. doi: 10.1093/pubmed/fds077. Epub 2012 Sep 11.
Linkage between routinely collected hospital birth and other records offers the potential for epidemiological and public health research by developing population-level birth cohorts with cradle-to-grave follow-up. Data from births in English National Health Service hospitals are collected in the Hospital Episode Statistics (HES) database but are of uncertain quality.
We examined the range and completeness of birth information recorded in HES and tested an approach for minimizing the effect of hospital-level variations by selecting hospitals with high completeness of recording (≥ 90%) for key fields. We discuss important methodological considerations when using routine healthcare data to develop a birth cohort.
The proportion of missing data in key birth record fields has been decreasing annually, such as gestational age and birth weight (from 46.2 and 43.9% in 2005/06 to 18.1 and 16.9% in 2009/10, respectively). We compared the important characteristics such as size and access to specialist neonatal care between 71 high-coding and 85 low-coding hospitals and found no significant differences, suggesting hospitals with high birth record completeness may be generalizable and representative of all hospitals.
The completeness of recording of hospital birth information varies greatly between hospitals in England but is improving. It may be preferable and valid to construct cohorts from only hospitals with high completeness of recording.
通过建立从摇篮到坟墓的人群级出生队列,对常规收集的医院分娩和其他记录进行关联,为流行病学和公共卫生研究提供了潜力。英国国家卫生服务医院的分娩数据收集在医院入院统计(HES)数据库中,但数据质量不确定。
我们检查了 HES 中记录的分娩信息的范围和完整性,并通过选择关键字段记录完整性高(≥90%)的医院,测试了一种最小化医院水平差异影响的方法。我们讨论了使用常规医疗保健数据开发出生队列时的重要方法学考虑因素。
关键分娩记录字段中缺失数据的比例逐年下降,例如胎龄和出生体重(从 2005/06 年的 46.2%和 43.9%分别降至 2009/10 年的 18.1%和 16.9%)。我们比较了 71 家高编码和 85 家低编码医院之间的重要特征,如规模和获得专科新生儿护理的机会,发现没有显著差异,这表明记录完整的分娩信息的医院可能具有普遍性和代表性。
英格兰医院分娩信息记录的完整性在医院之间差异很大,但正在改善。仅从记录完整性高的医院构建队列可能更可取且有效。