Using Trust databases to identify predictors of late booking for antenatal care within the UK
Using Trust databases to identify predictors of late booking for antenatal care within the UK
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DOI：
10.1016/j.puhe.2011.10.007
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发表时间：
2012-02-01
期刊：
影响因子：
5.2
通讯作者：
Rajasingam, D.
中科院分区：
文献类型：
--
作者：
Baker, E. C.;Rajasingam, D.
目的：为了确定预测因素晚预约产前护理使用常规收集的data.Study设计：回顾性队列study.Methods：变量选择参考全面的文献综述。数据提取自伦敦医院病例记录数据库，并采用logistic regression.Results：共5629名女性被纳入研究。预约时的中位妊娠期为14周，31%的女性在妊娠18周后预约。数据记录不足的变量包括语言能力、国籍和社会风险。年龄在15至19岁之间的女性、有四个以上孩子的女性以及属于“其他”种族的女性都更有可能晚些预订。身体质量指数>= 30 kg/m2的女性晚预约的可能性是男性的1.5倍（不显著）。结论：病例记录数据库是分析获得护理和提供者遵守质量标准的潜在简单有效的方法。目前在日常数据收集方面的不足之处迫切需要解决，以便能够做到这一点。(C)2011年，皇家公共卫生学会。由爱思唯尔有限公司出版。保留所有权利。
Objectives: To identify predictors of late booking for antenatal care using routinely collected data.Study design: Retrospective cohort study.Methods: Variables were selected with reference to comprehensive literature review. Data were extracted from a London hospital case-note database, and predictors of late booking were identified using logistic regression.Results: In total, 5629 women were included in the study. Median gestation at booking was 14 weeks, and 31% of women booked after 18 weeks of gestation. Variables with insufficient data recorded included language abilities, nationality and social risk. Women aged between 15 and 19 years, women with more than four children, and women belonging to the ethnic group 'other' were all significantly more likely to book late. Women with a body mass index >= 30kg/m(2) were 1.5 times more likely to book late (not significant).Conclusion: Case-note databases are a potentially easy and effective way to analyse access to care and provider compliance with quality standards. Current deficits in routine data collection need to be addressed urgently in order to make this possible. (C) 2011 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.