A Framework for Neonatal Prematurity Information System Development Based on a Systematic Review on Current Registries: An Original Research.

Q3 Medicine
Shahrbanoo Pahlevanynejad, Navid Danaee, Reza Safdari
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引用次数: 0

Abstract

Background: Registries are regarded as a just valuable fount of data on determining neonates suffering prematurity or low birth weight (LBW), ameliorating provided care, and developing studies.

Objective: This study aimed to probe the studies, including premature infants' registries, adapt the needed minimum data set, and provide an offered framework for premature infants' registries.

Material and methods: For this descriptive study, electronic databases including PubMed, Scopus, Web of Science, ProQuest, and Embase/Medline were searched. In addition, a review of gray literature was undertaken to identify relevant studies in English on current registries and databases. Screening of titles, abstracts, and full texts was conducted independently based on PRISMA guidelines. The basic registry information, scope, registry type, data source, the purpose of the registry, and important variables were extracted and analyzed.

Results: Fifty-six papers were qualified and contained in the process that presented 51 systems and databases linked in prematurity at the popular and government levels in 34 countries from 1963 to 2017. As a central model of the information management system and knowledge management, a prematurity registry framework was offered based on data, information, and knowledge structure.

Conclusion: To the best of our knowledge, this is a comprehensive study that has systematically reviewed prematurity-related registries. Since there are international standards to develop new registries, the proposed framework in this article can be beneficial too. This framework is essential not only to facilitate the prematurity registry design but also to help the collection of high-value clinical data necessary for the acquisition of better clinical knowledge.

基于当前登记系统回顾的新生儿早产信息系统开发框架:一项原创性研究。
背景:早产儿登记被认为是确定早产或低出生体重(LBW)新生儿、改善护理和开展研究的宝贵数据来源:本研究旨在探究包括早产儿登记在内的各项研究,调整所需的最低数据集,并为早产儿登记提供一个框架:在这项描述性研究中,检索了包括 PubMed、Scopus、Web of Science、ProQuest 和 Embase/Medline 在内的电子数据库。此外,还查阅了灰色文献,以确定与当前登记处和数据库相关的英文研究。根据 PRISMA 指南独立筛选了标题、摘要和全文。提取并分析了基本登记信息、范围、登记类型、数据来源、登记目的和重要变量:有 56 篇论文符合条件并被收录,这些论文介绍了 1963 年至 2017 年间 34 个国家的 51 个与早产儿相关的民众和政府层面的系统和数据库。作为信息管理系统和知识管理的核心模型,提供了一个基于数据、信息和知识结构的早产儿登记框架:据我们所知,这是一项系统回顾早产儿相关登记的全面研究。由于在建立新登记处方面已经有了国际标准,因此本文提出的框架也是有益的。该框架不仅对促进早产儿登记处的设计至关重要,而且有助于收集必要的高价值临床数据,从而获得更好的临床知识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Biomedical Physics and Engineering
Journal of Biomedical Physics and Engineering Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
2.90
自引率
0.00%
发文量
64
审稿时长
10 weeks
期刊介绍: The Journal of Biomedical Physics and Engineering (JBPE) is a bimonthly peer-reviewed English-language journal that publishes high-quality basic sciences and clinical research (experimental or theoretical) broadly concerned with the relationship of physics to medicine and engineering.
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