在使用关联的医院和实验室数据调查呼吸道感染时，需要进行优化。
Optimization is required when using linked hospital and laboratory data to investigate respiratory infections.
作者信息
Lim Faye J, Blyth Christopher C, de Klerk Nicholas, Valenti Beverly, Rouhiainen Oliver J, Wu Dominic Yu-An, Jansz Christopher S, Moore Hannah C
机构信息
Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, The University of Western Australia, PO Box 855, West Perth, Western Australia 6872, Australia.
Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, The University of Western Australia, PO Box 855, West Perth, Western Australia 6872, Australia; School of Paediatrics and Child Health, The University of Western Australia, GPO Box D184, Perth, Western Australia 6840, Australia; Department of General Paediatrics, Princess Margaret Hospital for Children, GPO Box D184, Perth, Western Australia 6840, Australia; PathWest Laboratory Medicine WA, Princess Margaret Hospital for Children, GPO Box D184, Perth, Western Australia 6840, Australia.
出版信息
J Clin Epidemiol. 2016 Jan;69:23-31. doi: 10.1016/j.jclinepi.2015.08.003. Epub 2015 Aug 21.
OBJECTIVE
Despite a recommendation for microbiological testing, only 45% of children hospitalized for respiratory infections in our previous data linkage study linked to a microbiological record. We conducted a chart review to validate linked microbiological data.
STUDY DESIGN AND SETTING
The chart review consisted of children aged <5 years admitted to seven selected hospitals for respiratory infections in Western Australia, 2000-2011. We calculated the proportion of admissions where testing was performed and any pathogens detected. We compared these proportions between the chart review and our previous data linkage study. Poisson regression was used to identify factors predicting the likelihood of microbiological tests in the chart review cohort.
RESULTS
From the chart review, 77% of 746 records had a microbiological test performed compared with 46% of 18,687 records from our previous data linkage study. Of those undergoing testing, 66% of the chart review and 64% of data linkage records had ≥1 respiratory pathogen(s) detected. In the chart review cohort, frequency of testing was highest in children admitted to metropolitan hospitals.
CONCLUSION
Validation studies are essential to ensure the quality of linked data. Our previous data linkage study failed to capture all relevant microbiological records. Findings will be used to optimize extraction protocols for future linkage studies.
目的
尽管有微生物检测的建议，但在我们之前的一项数据关联研究中，因呼吸道感染住院的儿童中只有45%与微生物记录相关联。我们进行了一项病历审查，以验证关联的微生物数据。
研究设计与背景
病历审查涵盖了2000年至2011年期间西澳大利亚州七家选定医院收治的5岁以下因呼吸道感染入院的儿童。我们计算了进行检测的入院病例比例以及检测到的任何病原体。我们比较了病历审查与我们之前的数据关联研究中的这些比例。使用泊松回归来确定预测病历审查队列中微生物检测可能性的因素。
结果
病历审查中，746份记录中有77%进行了微生物检测，而我们之前的数据关联研究中18,687份记录中有46%进行了检测。在接受检测的病例中，病历审查记录中有66%以及数据关联记录中有64%检测到≥1种呼吸道病原体。在病历审查队列中，大城市医院收治的儿童检测频率最高。
结论
验证研究对于确保关联数据的质量至关重要。我们之前的数据关联研究未能获取所有相关的微生物记录。研究结果将用于优化未来关联研究的提取方案。
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