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Appears in Collections:Faculty of Social Sciences Journal Articles
Peer Review Status: Refereed
Title: National and sub-national trend of prevalence and burden of dementia in Iran, from 1990 to 2013; Study protocol
Author(s): Sharifi, Farshad
Najafi, Baharak
Fakhrzadeh, Hossein
Noroozian, Maryam
Naderimagham, Shohreh
Philp, Ian
Arzaghi, Seyed Masood
Alizadeh, Mahtab
Shoaee, Shervan
Hassannia, Tahereh
Sheidaei, Ali
Moradi-Lakeh, Maziar
Farzadfar, Farshad
Larijani, Bagher
Keywords: Dementia
burden of disease
Issue Date: Dec-2014
Date Deposited: 5-Oct-2018
Citation: Sharifi F, Najafi B, Fakhrzadeh H, Noroozian M, Naderimagham S, Philp I, Arzaghi SM, Alizadeh M, Shoaee S, Hassannia T, Sheidaei A, Moradi-Lakeh M, Farzadfar F & Larijani B (2014) National and sub-national trend of prevalence and burden of dementia in Iran, from 1990 to 2013; Study protocol. Archives of Iranian Medicine, 17 (12), pp. 816-820.
Abstract: Background: Dementia is a disabling syndrome, which generally affects aged population more than any other age groups. This syndrome has a growing prevalence and incidence worldwide. The prevalence and burden of this group of diseases in Iran have not been estimated in a community-based study yet. This paper aims to explain the systematic approach, data sources, research methodology, and statistical analysis that will be used to quantify the prevalence and burden of dementia at national and sub-national levels. Methods: This is the protocol of a secondary data study that explains the design and method of conducting the study. We will use several sources of data that will include a systematic review of articles and gray literature which have reported the prevalence or incidence of dementia and its uncertainty at national and sub-national levels in Iran, in addition to data about dementia-specific drug sales per each year at provincial levels, as well as data extracted from 23 million health insurance prescriptions over 8 years and some data from medical documents of Iranian Alzheimer's Association members. The technical groups of National and Sub-national Burden of Disease will collect some covariate data, such as age and sex structure of population, urbanization status, mean years of schooling, plasma cholesterol, fasting plasma glucose, and systolic and diastolic blood pressure at provincial levels which will be used in our models. Two statistical models, namely spatio-temporal and hierarchical autoregressive models, will be used for interpolation and extrapolation of missing data. Conclusion: It seems that the study of national and subnational burden of dementia could provide more accurate estimation of prevalence and burden of dementia in Iran with an acceptable level of uncertainty than the previous studies.
Rights: © 2018 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 License.
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