Suppr超能文献

PAGE 研究:使用大数据方法估算西班牙重度哮喘患病率的研究方案摘要。

PAGE Study: Summary of a Study Protocol to Estimate the Prevalence of Severe Asthma in Spain Using Big Data Methods.

机构信息

Hospital Ramón y Cajal IRYCIS, Madrid, Spain.

Hospital 12 Octubre, Madrid, Spain.

出版信息

J Investig Allergol Clin Immunol. 2021 Jul 26;31(4):308-315. doi: 10.18176/jiaci.0483. Epub 2020 Jan 23.

Abstract

BACKGROUND AND OBJECTIVES

Background: The proposal and the initiative for the Prevalence of Severe Asthma in Hospital Units in Spain (PAGE) study came about because of the widespread implementation of electronic medical records and the limited data available on the prevalence of severe asthma in hospitals in our setting. Objectives: The primary objective was to determine the prevalence of severe asthma in the outpatient clinics of allergy and pulmonology departments in Spain. The secondary objectives were to describe the most prevalent characteristics and phenotypes of severe asthma, to evaluate the selection criteria for receiving approved biological treatments for this disease, and to estimate consumption of resources. Furthermore, digital technology and new data collection sources made it possible to reuse information stored in electronic medical records (Big Data). The study was performed using one such tool, Savana.

METHODS

The PAGE study was a multicenter, nonexperimental, observational, cross-sectional study in the first phase and a prospective study in the second phase. The study was controlled and population-based, with 2-stage selection of patients by random sampling. The research was carried out in 40 hospitals selected using convenience sampling in order to ensure geographical representativeness in Spain.

RESULTS

This manuscript describes the study design and protocol.

CONCLUSIONS

Our study design was sufficiently robust to avoid bias and to establish the prevalence of patients with severe asthma in Spanish hospitals. It was also the first to incorporate new tools that can help in routine clinical practice and research, such as big data analysis software, and to evaluate the reliability and efficiency of these tools.

摘要

背景与目的

背景:开展西班牙医院中重度哮喘流行率研究(PAGE)是因为电子病历的广泛应用以及我们地区有关医院中重度哮喘流行率的可用数据有限。目的:本研究的主要目的是确定西班牙过敏和呼吸科门诊中重度哮喘的流行率。次要目的是描述中重度哮喘的最常见特征和表型,评估用于此类疾病的获批生物治疗的选择标准,并估算资源消耗。此外,数字技术和新的数据收集来源使得能够重复使用电子病历中存储的信息(大数据)。本研究使用了一种此类工具,即 Savana。

方法

PAGE 研究是一项多中心、非实验性、观察性、横断面研究,第一阶段为回顾性研究,第二阶段为前瞻性研究。该研究为对照性、基于人群的研究,通过随机抽样对患者进行两阶段选择。采用方便抽样选择了 40 家医院进行研究,以确保西班牙的地理代表性。

结果

本文描述了研究设计和方案。

结论

我们的研究设计足以避免偏倚,并确定西班牙医院中重度哮喘患者的流行率。该研究还首次纳入了有助于日常临床实践和研究的新工具,如大数据分析软件,并评估了这些工具的可靠性和效率。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验