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首页> 外文期刊>Frontiers in Public Health >The Usefulness of Electronic Health Records From Preventive Youth Healthcare in the Recognition of Child Mental Health Problems
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The Usefulness of Electronic Health Records From Preventive Youth Healthcare in the Recognition of Child Mental Health Problems

机译：在识别儿童心理健康问题中，在预防性青年医疗保健中的电子健康记录的用途

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Background and Objectives: Early identification of child mental health problems (MHPs) is important to provide adequate, timely treatment. Dutch preventive youth healthcare monitors all aspects of a child's healthy development. We explored the usefulness of their electronic health records (EHRs) in scientific research and aimed to develop prediction models for child MHPs. Methods: Population-based cohort study with anonymously extracted electronic healthcare data from preventive youth healthcare centers in the Leiden area, the Netherlands, from the period 2005–2015. Data was analyzed with respect to its continuity, percentage of cases and completeness. Logistic regression analyses were conducted to develop prediction models for the risk of a first recorded concern for MHPs in the next scheduled visit at age 3/4, 5/6, 10/11, and 13/14 years. Results: We included 26,492 children. The continuity of the data was low and the number of concerns for MHPs varied greatly. A large number of determinants had missing data for over 80% of the children. The discriminatory performance of the prediction models were poor. Conclusions: This is the first study exploring the usefulness of EHRs from Dutch preventive youth healthcare in research, especially in predicting child MHPs. We found the usefulness of the data to be limited and the performance of the developed prediction models was poor. When data quality can be improved, e.g., by facilitating accurate recording, or by data enrichment from other available sources, the analysis of EHRs might be helpful for better identification of child MHPs.
机译：背景和目标：儿童心理健康问题的早期识别（MHPS）是提供充足，及时治疗的重要性。荷兰预防性青年医疗保健监察儿童健康发展的各个方面。我们探讨了他们在科学研究中的电子健康记录（EHRS）的有用性，并旨在为儿童MHPS开发预测模型。方法：从2005 - 2015年期间，人口为基于人口的队列与荷兰莱顿地区预防性青年医疗中心的电子医疗保健数据。关于其连续性，病例和完整性的百分比分析了数据。进行了逻辑回归分析，以开发预测模型，以便在下次预定访问中为MHPS的第一个记录问题的风险，于5月4日，5月6日，10/11年代和13/14岁。结果：我们包括26,492名儿童。数据的连续性低，MHP的疑虑数量很大。大量决定因素有超过80％的儿童缺少数据。预测模型的歧视性表现差。结论：这是探索荷兰预防性青年医疗保健在研究中的EHR的有用性的第一研究，特别是在预测儿童MHP。我们发现数据有限的有用性，并且发达的预测模型的性能很差。当数据质量可以改善时，例如，通过促进准确的录音或通过其他可用来源的数据丰富，EHR的分析可能有助于更好地识别儿童MHP。

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