Development and validation of the Iranian Neonatal Prematurity Minimum Data Set (IMSPIMDS): a systematic review, focus group discussion, and Delphi technique

IF 0.3 Q4 PEDIATRICS
S. Pahlevanynejad, Navid Danaei, M. Kahouei, M. Mirmohammadkhani, E. Saffarieh, R. Safdari
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引用次数: 3

Abstract

Background: Information systems help to collect information about patients. The minimum data set (MDS) provides the basis for decision-making. Objectives: This study was conducted to determine the comprehensive national MDS for prematurity information management system (IMSPIMDS) in Iran. Methods: This research is a cross-sectional study with three steps including systematic review, focus group discussion, and Delphi technique. A systematic review was conducted in relevant databases. Then a focus group discussion was used to classify the extracted data elements by contributing specializing in various fields experts. Finally, MDSs were chosen through the decision Delphi technique in two rounds. Collected data were analyzed using IBM statistics SPSS 26. Results: In total, 233 data elements were included in the Delphi survey. The data elements based on the experts’ opinions, were classified into two main categories including maternal and newborn. The final data elements categories were 107 and 126. Conclusions: The existence of national MDS as the core of the premature newborn surveillance program is essential and leads to appropriate decisions. We developed and internally validated a minimum data set for prematurity researches. This study generated new knowledge to enable healthcare systems professionals to collect relevant and meaningful. The use of this standardized approach can help benchmark clinical practice and target improvements worldwide.10.32598/jpr.10.1.986.1
伊朗新生儿早产最小数据集(IMSPIMDS)的开发和验证:系统回顾,焦点小组讨论和德尔菲技术
背景:信息系统有助于收集患者信息。最小数据集(MDS)为决策提供依据。目的:本研究旨在确定伊朗早产儿信息管理系统(IMSPIMDS)的综合国家MDS。方法:采用系统综述、焦点小组讨论、德尔菲法三步法进行横断面研究。对相关数据库进行系统评价。然后采用焦点小组讨论的方式,由各领域专家对提取的数据元素进行分类。最后,通过两轮决策德尔菲法选择mds。收集的数据采用IBM统计软件SPSS 26进行分析。结果:德尔菲调查共纳入233个数据要素。根据专家的意见,将数据元素分为两大类,包括孕产妇和新生儿。最终的数据元素类别为107和126。结论:国家MDS作为早产儿监测计划的核心是必要的,并导致适当的决策。我们开发并内部验证了早产儿研究的最小数据集。这项研究产生了新的知识,使医疗保健系统专业人员能够收集相关的和有意义的。使用这种标准化方法可以帮助对临床实践进行基准测试,并在全球范围内实现目标改进
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