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2004年至2010年澳大利亚昆士兰州远北地区的妊娠期糖尿病:助产士的围产期数据是最准确的来源。

Gestational diabetes mellitus in Far North Queensland, Australia, 2004 to 2010: midwives' perinatal data most accurate source.

作者信息

Chamberlain Catherine, Fredericks Bronwyn, McLean Anna, Davis Bronwyn, Eades Sandra, Stewart Kirsten, Reid Chris M

出版信息

Aust N Z J Public Health. 2013 Dec;37(6):556-61. doi: 10.1111/1753-6405.12148.

DOI:10.1111/1753-6405.12148
PMID:24892154
Abstract

OBJECTIVES

This study examines the accuracy of Gestational Diabetes Mellitus (GDM) case-ascertainment in routinely collected data.

METHODS

Retrospective cohort study analysed routinely collected data from all births at Cairns Base Hospital, Australia, from 1 January 2004 to 31 December 2010 in the Cairns Base Hospital Clinical Coding system (CBHCC) and the Queensland Perinatal Data Collection (QPDC). GDM case ascertainment in the National Diabetes Services Scheme (NDSS) and Cairns Diabetes Centre (CDC) data were compared.

RESULTS

From 2004 to 2010, the specificity of GDM case-ascertainment in the QPDC was 99%. In 2010, only 2 of 225 additional cases were identified from the CDC and CBHCC, suggesting QPDC sensitivity is also over 99%. In comparison, the sensitivity of the CBHCC data was 80% during 2004-2010. The sensitivity of CDC data was 74% in 2010. During 2010, 223 births were coded as GDM in the QPDC, and the NDSS registered 247 women with GDM from the same postcodes, suggesting reasonable uptake on the NDSS register. However, the proportion of Aboriginal and Torres Strait Islander women was lower than expected.

CONCLUSION

The accuracy of GDM case-ascertainment in the QPDC appears high, with lower accuracy in routinely collected hospital and local health service data. This limits capacity of local data for planning and evaluation, and developing structured systems to improve post-pregnancy care, and may underestimate resources required.

IMPLICATIONS

Data linkage should be considered to improve accuracy of routinely collected local health service data. The accuracy of the NDSS for Aboriginal and Torres Strait Islander women requires further evaluation.

摘要

目的

本研究探讨常规收集数据中妊娠期糖尿病(GDM)病例确诊的准确性。

方法

回顾性队列研究分析了2004年1月1日至2010年12月31日澳大利亚凯恩斯基地医院所有分娩在凯恩斯基地医院临床编码系统(CBHCC)和昆士兰围产期数据收集(QPDC)中常规收集的数据。比较了国家糖尿病服务计划(NDSS)和凯恩斯糖尿病中心(CDC)数据中GDM病例的确诊情况。

结果

2004年至2010年,QPDC中GDM病例确诊的特异性为99%。2010年,在CDC和CBHCC中仅识别出225例额外病例中的2例,表明QPDC的敏感性也超过99%。相比之下,2004 - 2010年期间CBHCC数据的敏感性为80%。2010年CDC数据的敏感性为74%。2010年,QPDC中有223例分娩被编码为GDM,NDSS登记了来自相同邮政编码的247例GDM女性,表明NDSS登记的接受情况合理。然而,原住民和托雷斯海峡岛民女性的比例低于预期。

结论

QPDC中GDM病例确诊的准确性似乎较高,而常规收集的医院和当地卫生服务数据的准确性较低。这限制了当地数据用于规划和评估以及开发结构化系统以改善产后护理的能力,并且可能低估所需资源。

启示

应考虑进行数据链接以提高常规收集的当地卫生服务数据的准确性。NDSS对原住民和托雷斯海峡岛民女性的准确性需要进一步评估。

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引用本文的文献

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A Comprehensive Systematic Review of Data Linkage Publications on Diabetes in Australia.澳大利亚糖尿病数据关联文献的综合系统评价
Front Public Health. 2022 May 25;10:757987. doi: 10.3389/fpubh.2022.757987. eCollection 2022.
2
Low rates of postpartum glucose screening among indigenous and non-indigenous women in Australia with gestational diabetes.澳大利亚患有妊娠期糖尿病的原住民和非原住民女性产后血糖筛查率较低。
Matern Child Health J. 2015 Mar;19(3):651-63. doi: 10.1007/s10995-014-1555-3.