Abstract
Background: To identify the determinants of the inequality in child mortality it is vital to take interventional measures to improve survival of children. Objective: In this study, we aimed to estimate child mortality rate (CMR) for Iranian provinces and then assess the share of medical and socio-economic factors in CMR among Iranian provinces. Methods: First, we estimated CMR for Iranian provinces from several sources. Then, we extracted socio-economic status of provinces from Iranian centre of statistics. We used correlation and multivariate linear regression for assessing association of CMR with socio-economic status. Results: South Khorasan with 51 per 1000 live births and Mazandaran with 13 per 1000 live births had the highest and the lowest CMR among Iranian provinces. Correlation analysis showed that cost of health (-0.52) and literacy rate (-043) had the strongest association and the number of doctors with -0.24 had the weakest association with CMR. Results of multivariate analysis revealed that literacy rate and cost of health were statistically significant and explained about the 45% difference among Iranian provinces. Conclusions: There is inequality in child mortality among Iranian provinces. However, literacy rate, cost of health and income per capita are the most effective determinants of inequality. Sri Lanka Journal of Child Health, 2018; 47 (4) : 316-320
Highlights
Despite all health and medical interventions to improve survival of children, it has remained as one of the major health challenges worldwide
Genesis of international perspectives such as Millennium Development Goals (MDG), which call for reduction of child mortality rate (CMR) by two thirds from 1990 to 2015, and after that, Sustainable Development Goals (SDG), which call for reduction of CMR to less than 25 per 1000 live birth in 2030, is associative of researchers and policy-makers’ concerns on survival of children globally
As a member of the United Nations, has signed the international agenda including MDG and SDG and is committed to reduce the child mortality based on targets of interest
Summary
We estimated CMR for Iranian provinces from several sources. We extracted socio-economic status of provinces from Iranian centre of statistics. We used correlation and multivariate linear regression for assessing association of CMR with socio-economic status
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
