This article presents data in the dynamics on industrial injuries and occupational morbidity in the mining industry of the Republic of Kazakhstan. The aim of this study is to analyze occupational injuries and occupational diseases between 2008 and 2018. An analysis of the number of victims of accidents, including those who died from accidents at work during the period, shows indicators of occupational injuries in the gender aspect, the outcome of accidents by degrees of severity and the material consequences of accidents. During the analyzed period, the overall level of occupational injuries and occupational morbidity in the country remains high. The material consequences of accidents, in addition to social damage, bring great material losses to the state.
Maternal mortality ratio is one of the sensitive indicators that can characterize the performance of healthcare systems. In our study we aimed to compare the maternal mortality ratio in the Central Asia region from 2000 to 2020, determine its trends and evaluate the association between the maternal mortality ratio and Central Asia countries’ total health expenditures. We also compared the maternal mortality causes before and during the pandemic in Kazakhstan. The data were derived from the public statistical collections of each Central Asian country. During the pre-pandemic period, Central Asian nations had a downward trend of maternal mortality. Maternal mortality ratio in Central Asian countries decreased by 38% from 47.3 per 100,000 live births in 2000 to 29.5 per 100,000 live births in 2020. Except for Uzbekistan, where this indicator decreased, all Central Asian countries experienced a sharp increase in maternal mortality ratio in 2020. The proportion of indirect causes of maternal deaths in Kazakhstan reached 76.3% in 2020. There is an association between the maternal mortality ratio in Central Asian countries and their total health expenditures expressed in national currency units (r max= −0.89 and min = −0.66, p < 0.01). The study revealed an issue in the health data availability and accessibility for research in the region. The findings suggest that there must be additional efforts from the local authorities to enhance the preparedness of Central Asian healthcare systems for the new public health challenges and to improve health data accessibility.
Infant mortality rate (IMR) is a crucial indicator of healthcare performance and a reflection of a country’s socioeconomic development. We analyzed the trends of IMR in Central Asia (CA) countries and its determinants in Kazakhstan, which is a middle-income country. Linear regression was used for IMR trend analysis in CA countries from 2000 to 2020 and for exploring associations between IMR and socioeconomic factors, health service-related factors, and population health indicators-related factors. A gamma generalized linear model was applied to define associations with various determinants. Our analysis revealed that IMR has decreased in all CA countries, with Kazakhstan having the lowest rate in 2000 and 2020. Our results suggest that socioeconomic indicators, such as total unemployment, Gini index, current health expenditure, gross domestic product (GDP), proportion of people living in poverty, and births by 15–19-year-old mothers, were associated with increased infant mortality rates. Improving socioeconomic conditions, investing in healthcare systems, reducing poverty and income inequality, and improving access to education, are all potential issues for further development. Addressing these factors may be critical for improving maternal and child health outcomes in the region.
Objective: To identify factors contributing to maternal mortality in Kazakhstan. Design: A retrospective study of the health and demography data set of Kazakhstan from 2000 to 2020. Setting and population: The data from the annual statistical report “Population health and healthcare organizations’ performance in the Republic of Kazakhstan from 2000 to 2020”. Kazakhstan and its 14 regions and 3 main cities for the period 2019-2020. Methods: We analyzed the MMR trend in Kazakhstan and in all 14 regions and 3 main cities for the period 2000-2020. We applied Univariate Linear Regression Models with Logarithmic Transformation of the outcome and predictors to detect determinants of MMR for 2019 and 2020 in Kazakhstan. Main Outcome Measures: Maternal mortality ratio and determinants. Results: Trends in MMR in many regions of Kazakhstan show a steady decline starting from 2000 until 2010-2015 with a subsequent increase by 2020. MMR was associated with factors such as socio-economic, health service-related, and population health indicators. An increase in most of these indicators leads to a decrease in maternal mortality, except obstetric beds per 1000 births, number of inpatient facilities, and population median age, which leads to an increase in MMR. Conclusions: Maternal mortality is a complex issue that is influenced by various socio-economic factors, healthcare system factors, and disease burden. Despite Kazakhstan’s alignment with the SDG goals, including reducing maternal mortality, the country’s middle-income status may have led to fluctuations in MMR.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.