Sadeghi Malihe, Langarizadeh Mostafa, Olang Beheshteh, Sayadi Mohammadjavad, Sheikhtaheri Abbas
Cancer Research Center, Semnan University of Medical Sciences, Semnan, Iran.
Department of Health Information Technology, School of Allied Medical Sciences, Semnan University of Medical Sciences, Semnan, Iran.
BMC Med Inform Decis Mak. 2024 Dec 30;24(1):411. doi: 10.1186/s12911-024-02771-1.
Today, malnutrition is one of the biggest health crises for children in the world. Access to accurate and high-quality data is very important to establish policies to deal with it. Registries are considered valuable tools for data collection and management of child malnutrition. Designing a dataset is the first step toward developing a registry system.
This study aimed to determine the minimum data elements for the Child Malnutrition Registry System (CMRS).
In this descriptive and cross-sectional study, firstly, data elements were extracted from reviewing scientific papers, reviewing existing systems, and conducting interviews with experts. Then, the extracted data elements were validated using an expert panel and Delphi technique. The criterion for accepting the final data elements in the registry system was based on a collective agreement, and it was when 75% of the experts collectively agreed upon a particular data element.
A dataset was designed using the determined minimum data elements, including administrative data elements with three sub-categories (demographic, socioeconomic, and healthcare providers) and clinical data elements with 11 sub-categories (medical history, anthropometric indicators, clinical examination, nutritional data, physical activity and sleep, lab tests, para-clinical tests, diagnosis, complications, care procedures, life status, and follow-up). The number of final data elements in administrative and clinical categories were 47 and 251, respectively.
A comprehensive and accurate dataset provides conceptual structures that are the basis for developing the children's malnutrition registry system. The result of this study can fill the existing gaps in collecting, storing, and analyzing child malnutrition data. Furthermore, it can play an effective role in creating a successful strategic plan for improving child malnutrition.
如今，营养不良是全球儿童面临的最大健康危机之一。获取准确且高质量的数据对于制定应对该问题的政策至关重要。登记册被视为收集和管理儿童营养不良数据的宝贵工具。设计数据集是开发登记系统的第一步。
本研究旨在确定儿童营养不良登记系统（CMRS）的最小数据元素。
在这项描述性横断面研究中，首先，通过查阅科学论文、审查现有系统以及与专家进行访谈来提取数据元素。然后，使用专家小组和德尔菲技术对提取的数据元素进行验证。登记系统中最终数据元素的接受标准基于集体共识，即当75%的专家集体同意某个特定数据元素时。
使用确定的最小数据元素设计了一个数据集，包括具有三个子类别的管理数据元素（人口统计学、社会经济和医疗服务提供者）以及具有11个子类别的临床数据元素（病史、人体测量指标、临床检查、营养数据、身体活动和睡眠、实验室检查、辅助临床检查、诊断、并发症、护理程序、生命状态和随访）。管理类和临床类的最终数据元素数量分别为47个和251个。
一个全面且准确的数据集提供了概念结构，这些结构是开发儿童营养不良登记系统的基础。本研究结果可以填补儿童营养不良数据收集、存储和分析方面的现有空白。此外，它可以在制定改善儿童营养不良的成功战略计划中发挥有效作用。
