N Mahdavi, M Movahedi, A Khosravi, Y Mehrabi, M Karami, ,
Volume 8, Issue 3 (12-2012)
Abstract
Background and Objectives: Due to the importance of mortality
statistics for planning, setting priorities and equal allocation of health
services in population it is essential to assess quality of reporting
mortality data in health systems. The aim of this study was to evaluate the
completeness and accuracy of the Iranian Vital Horoscope reports for maternal
and the under-five mortality (U5M) in rural areas through its comparison with
other data sources in Iran.
Methods: The mortality data of Vital
Horoscope reported from 30 selected cities over country was compared with the
related data obtained from other data sources including Vital Horoscope's
Fieldwork reports, Death Registration System and Maternal Mortality
Surveillance System of Ministry of Health and Medical Education.
Results: Overall completeness of Vital
Horoscope's Fieldwork reports for U5M in rural areas was about % 62.1. In terms
of cause of death in children under-five,estimated sensitivity values were %
47.2 (95% CI: 22.9-72.2), % 66.6(95% CI: 22.7-95.7), %78.2 (95% CI: 64.3-89.3)for respiratory
infections, diarrhea and vomiting, and injuries-burning and poisoning respectively.
The vital horoscope reports had 12.5% misclassification in determining the cause of maternal death.
Conclusion: Our findings indicate the Vital Horoscope's data might
need some corrections because of underestimating of the mortality indicators.
The comparison of this source with Death Registration System report for causes
of death in children under-five (reported by Vital Horoscope) suggests that the
vital horoscope might have suboptimal quality.
Normal
0
false
false
false
EN-US
X-NONE
AR-SA
N Mahdavi, M Movahedi, A Khosravi, Y Mehrabi, M Karami,
Volume 8, Issue 3 (12-2012)
Abstract
Background and Objectives: Due to the importance of mortality statistics for planning, setting priorities and equal allocation of health services in population it is essential to assess quality of reporting mortality data in health systems. The aim of this study was to evaluate the completeness and accuracy of the Iranian Vital Horoscope reports for maternal and the under-five mortality (U5M) in rural areas through its comparison with other data sources in Iran.
Methods: The mortality data of Vital Horoscope reported from 30 selected cities over country was compared with the related data obtained from other data sources including Vital Horoscope's Fieldwork reports, Death Registration System and Maternal Mortality Surveillance System of Ministry of Health and Medical Education.
Results: Overall completeness of Vital Horoscope's Fieldwork reports for U5M in rural areas was about % 62.1. In terms of cause of death in children under-five,estimated sensitivity values were % 47.2 (95% CI: 22.9-72.2), % 66.6(95% CI: 22.7-95.7), %78.2 (95% CI: 64.3-89.3)for respiratory infections, diarrhea and vomiting, and injuries-burning and poisoning respectively. The vital horoscope reports had 12.5% misclassification in determining the cause of maternal death.
Conclusion: Our findings indicate the Vital Horoscope's data might need some corrections because of underestimating of the mortality indicators. The comparison of this source with Death Registration System report for causes of death in children under-five (reported by Vital Horoscope) suggests that the vital horoscope might have suboptimal quality.
Am Mosadeghrad, A Pour Reza , N Abolhasan Beigi Galezan , Sh Shahebrahimi,
Volume 14, Issue 4 (3-2019)
Abstract
Background and Objectives: Human Development Index (HDI) is an important indicator of a country’s development. On the other hand, mortality indicators are the most important indicators of the health of a society. This study aimed to examine the association between HDI and maternal, neonatal, infant, and under-five mortality rates in Iran between 2005 and 2016.
Methods: This longitudinal study was conducted using data collected from Iran Statistics Center, World Health Organization, and United Nations Development Program. SPSS software version 22 was used for data analysis. Pearson correlation test was applied to examine the correlation between HDI and mortality rates. Regression analysis was used to measure the effect of HDI on mortality rates.
Results: HDI increased from 0.690 in 2005 to 0.774 in 2016 (12% rise). Maternal, neonatal, infant, and under-five mortality rates decreased by 26, 41, 52, and 42% in 2016 compared to 2005, respectively. HDI had a significant indirect association with maternal (-0.973), neonatal (-0.983), infant (-0.739), and under-five mortality (-0.987). An increase of 0.01 in HDI reduced 1 maternal death per 100,000 births. An increase of 0.014, 0.009, and 0.008 in HDI decreased one neonatal, infant, and under-five death per 1000 births.
Conclusion: The results showed that increased HDI correlated with decreased mortality rates. Therefore, policy-makers should pay more attention to socio
