哮喘联盟

   摘要
   背景： 哮喘是一种气道慢性炎症性疾病，在遗传易感人群由环境因素致病或引起加重。本项全国范围及次全国范围的研究哮喘负担研究，目的在于探讨1990至2013年间伊朗哮喘病的流行、发病和经济负担，为哮喘病提供一个定量方法和有效的估计。本文章对这项研究将应用的方法、数据源、方法和挑战进行了解释。
   方法: 为了实施本项研究，我们应用了所有未发表的数据源、包括索赔数据库以及来自食品药物组织（FDO）的数据。另外，我们将开展以往伊朗开展所有哮喘研究和哮喘相关的已发表文献系统评价，包括所有的基于人群的有关哮喘流行病学交叉设计研究、队列研究和病例对照研究。在本项研究中，我们将使用两个统计模型，包括时空和多层次的自回归模型，来估计所研究参数的平均值和不确定性区间的，包括：性别、年龄、年份和省，所有的程序将被写入R统计包（版本3.0.1）。
   结论: 本研究有助于获得伊朗各区域和省份哮喘的相关数据，我们的研究将为更好的分配医疗资源提供帮助，因为研究帮助政策制定者认识到区域和省份之间的不平衡性，进而帮助他们更有效的分配资源。
 

（林江涛 审校）
Arch Iran Med. 2014 Dec;17(12):804-9. doi: 0141712/AIM.005.


 

National and Sub-national Prevalence, Trend, and Burden of Asthma in Iran from 1990 to 2013; the Study Protocol.
 

Varmaghani M1, Rashidian A2, Kebriaeezadeh A3, Moradi-Lakeh M4, Moin M5, Ghasemian A6, Rezaei-Darzi E7, Sepanlou SG8, Peykari N9, Rezaei N6, Parsaeian M7, Farzadfar F10.
 

Abstract
BACKGROUND: Asthma is a chronic inflammatory airway disease caused or worsened by environmental factors in genetically vulnerable people. The study of national and sub-national burden of asthma aims to provide a quantitative method and valid estimates for the prevalence, incidence, and economic burden of asthma disease in Iran from 1990 to 2013 and this papers explains measures, data sources, methods, and challenges that we will use in the study.
METHODS: In order to conduct this study, we will use all available unpublished data sources, including claim databases and data collected by the food and drug organization (FDO). Moreover, we will devise and run a systematic review of all studies and literature published about asthma epidemiology in Iran, which includes all cross-sectional, cohort and case-control studies with asthma epidemiology focus that are population based. In this study, we will use two statistical models, including spatio-temporal and multilevel autoregressive models to estimate mean and uncertainty intervals for the parameters under study by gender, age, year, and province. All programs will be written in R statistical packages (version 3.0.1).
CONCLUSION: This study helps to obtain information concerning the variation among regions and provinces, and in general among sub-national divisions. Our study can be contribute to better allocation of resources, since it helps policymakers to recognize inequalities between regions and provinces and consequently help them to allocate resources more efficiently.
 

Arch Iran Med. 2014 Dec;17(12):804-9. doi: 0141712/AIM.005.