Levels and Trends of Child and Adult Mortality Rates in the Islamic Republic of Iran, 1990 - 2013; Protocol of the NASBOD Study.
BACKGROUND: Calculation of burden of diseases and risk factors is crucial to set priorities in the health care systems. Nevertheless, the reliable measurement of mortality rates is the main barrier to reach this goal. Unfortunately, in many developing countries the vital registration system (VRS) i...
| Publicado en: | Archives of Iranian Medicine (AIM) Vol. 17; no. 3; pp. 176 - 182 |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Academy of Medical Sciences of I.R. Iran
Mar2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=95448463&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 95448463 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10292977 5DHN jtl: Archives of Iranian Medicine (AIM) issn: 10292977 maglogo: N pubinfo: dt: Mar2014 vid: 17 iid: 3 pid: 42042 pub: Academy of Medical Sciences of I.R. Iran place: , <Blank> artinfo: ui: 95448463 104066073 104066073 95448463 ppf: 176 ppct: 6 formats: tig: atl: Levels and Trends of Child and Adult Mortality Rates in the Islamic Republic of Iran, 1990 - 2013; Protocol of the NASBOD Study. aug: au: Mohammadi, Younes Parsaeian, Mahboubeh Farzadfar, Farshad Kasaeian, Amir Mehdipour, Parinaz Sheidaei, Ali Mansouri, Anita Moghaddam, Sahar Saeedi Djalalinia, Shirin Mahmoudi, Mahmood Khosravi, Ardeshir Yazdani, Kamran affil: Department of Epidemiology & Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran sug: subj: Mortality Trends Human Iran Child, Preschool Adult Descriptive Statistics Regression Methods Female Adolescence Middle Age Male Infant, Newborn Infant Data Analysis Software Funding Source Child, Preschool: 2-5 years Adult: 19-44 years Adolescent: 13-18 years Middle Aged: 45-64 years Infant, Newborn: birth-1 month Infant: 1-23 months Female Male ab: BACKGROUND: Calculation of burden of diseases and risk factors is crucial to set priorities in the health care systems. Nevertheless, the reliable measurement of mortality rates is the main barrier to reach this goal. Unfortunately, in many developing countries the vital registration system (VRS) is either defective or does not exist at all. Consequently, alternative methods have been developed to measure mortality. This study is a subcomponent of NASBOD project, which is currently conducting in Iran. In this study, we aim to calculate incompleteness of the Death Registration System (DRS) and then to estimate levels and trends of child and adult mortality using reliable methods. METHODS: In order to estimate mortality rates, first, we identify all possible data sources. Then, we calculate incompleteness of child and adult morality separately. For incompleteness of child mortality, we analyze summary birth history data using maternal age cohort and maternal age period methods. Then, we combine these two methods using LOESS regression. However, these estimates are not plausible for some provinces. We use additional information of covariates such as wealth index and years of schooling to make predictions for these provinces using spatio-temporal model. We generate yearly estimates of mortality using Gaussian process regression that covers both sampling and non-sampling errors within uncertainty intervals. By comparing the resulted estimates with mortality rates from DRS, we calculate child mortality incompleteness. For incompleteness of adult mortality, Generalized Growth Balance, Synthetic Extinct Generation and a hybrid of two mentioned methods are used. Afterwards, we combine incompleteness of three methods using GPR, and apply it to correct and adjust the number of deaths. CONCLUSION: In this study, we develop a conceptual framework to overcome the existing challenges for accurate measuring of mortality rates. The resulting estimates can be used to inform policy-makers about past, current and future mortality rates as a major indicator of health status of a population. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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