在REDCap中促进全面的儿童健康监测 - - 一个开源代码,用于实时Z分数评估
Priyanka Mendon1, Michael Witsch2, Marianne Becker2
1Competence Centre for Methodology and Statistics, Department of Medical Informatics, Luxembourg Institute of Health, Strassen, Luxembourg. priyanka.mendon@lih.lu.
BMC medical research methodology
|December 5, 2024
概括
这项研究在REDCap中引入了实时Z-score计算的新方法,改善了儿童的生长和血压监测. 综合系统简化了评估,确保为儿科健康提供准确和及时的干预.
科学领域:
- 儿科健康 儿科健康
- 生物统计学 生物统计学
- 医疗信息学 医疗信息学
背景情况:
- 监测儿童体发育和检测儿科高血压对于长期健康至关重要.
- 传统的Z-score计算是手动的,耗时的,容易出现错误,延迟干预.
- 需要一种创新的开源解决方案,用于电子数据采集平台的实时Z-score评估.
研究的目的:
- 在研究电子数据捕获 (REDCap) 平台内引入一个开源解决方案,用于实时Z分数评估.
- 简化对儿童体发育和血压的监测.
- 提高儿科健康评估的效率和准确性.
主要方法:
- 在REDCap中使用世界卫生组织 (WHO) 的生长标准和国家健康和营养检查调查 (NHANES) 的参考,集成Z-score计算.
- 使用Bland-Altman分析来比较REDCap方法与已建立的计算器 (Knirps和Growth XPTM).
- 使用合成数据验证人体测量变量和血压测量.
主要成果:
- 布兰德-阿尔特曼地块显示了REDCap计算与既定系统 (Knirps,增长XPTM) 之间的强烈一致.
- 对于身高,BMI和血压的Z-score,在所有测量范围中都显示出一致的对齐.
- 在儿科监测中,REDCap集成方法的准确性得到了肯定.
结论:
- REDCap集成简化了数据收集和分析,消除了单独的软件需求.
- 使用WHO和NHANES参考资料确保了计算准确性和广泛适用于各种研究的适用性.
- 布兰德-阿尔特曼分析证实了这种方法在有效监测儿童生长和血压方面的可靠性.
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