Evaluating prospective graduates’ health literacy profiles before they enter the job market is crucial. Our research aimed to explore the health literacy levels of medical and health students by assessing their ability to obtain health-related information, understand healthcare systems, use e-health, and be informed about vaccination as well as to explore the factors associated with health literacy. Short versions of the HLS19-Q12 were used for a cross-sectional survey that was carried out among 1042 students enrolled in various medical and health educational programs at three medical universities in Kazakhstan between September and November of 2023. Additionally, instruments such as Digital Health Literacy (HLS19-DIGI), Navigational Health Literacy (HLS19-NAV), and Vaccination Health Literacy (HLS19-VAC) were employed. The score of General Health Literacy was 88.26 ± 17.5. One in eight students encountered difficulties in Vaccination Health Literacy. Despite overall high health literacy, Navigational Health Literacy posed challenges for all students. The Public Health students exhibited the highest General Health Literacy (91.53 ± 13.22), followed by students in Nursing, General Medicine, other educational programs (Dentistry and Biomedicine) and Pharmacy. Financial constraints for medication and medical examinations significantly influenced health literacy across all types of individuals. Since comprehensive health literacy instruction or interventions are still uncommon in the curricula, it seems reasonable to develop and incorporate appropriate courses for medical and health educational programs.

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.

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.

Background: Spontaneous abortion in the first trimester is a common adverse pregnancy outcome with significant implications for maternal health and public health practice. The description of associations with modifiable factors, including preconception care, can aid in planning strategies to improve pregnancy outcomes.Methods: A retrospective analysis was conducted using data from 1,526 women, divided into two groups based on pregnancy outcomes: spontaneous abortion in the first trimester and live births. Binary and multivariate logistic regression analyses were performed to identify associations between factors (including preconception care) and the risk of spontaneous abortion in the first trimester.Results: Age >35 years [[OR] = 2.02, 95% [CI] = 1.49–2.75], obesity [[OR] = 1.81, 95% [CI] = 1.12–2.91], and a history of spontaneous abortion [[OR] = 1.57, 95% [CI] = 1.01–2.43] were associated with higher odds of spontaneous abortion in the first trimester, whereas preconception care was associated with lower odds of spontaneous abortion in the first trimester [[OR] = 0.58, 95% [CI] = 0.45–0.75].Conclusion: The findings may help clinicians stratify pregnant women who require additional monitoring and pre-pregnancy interventions. From a public health perspective, integrating preconception care into routine health services can enhance maternal and neonatal outcomes, reduce healthcare costs, and improve health equity by targeting vulnerable populations. However, the results should be interpreted as associations, and prospective studies are needed to assess the potential effects of preconception care on spontaneous abortion in the first trimester.

Health is a key driver of the United Nations Sustainable Development Goals. This study examined the relationships between economic indicators, demographic metrics, and health system factors and morbidity due to non-communicable diseases, such as diseases of the circulatory system, in Kazakhstan. This retrospective ecological study utilized regionally aggregated data from 2010 to 2020 for all 14 regions in Kazakhstan. Data on incidence rates of diseases of the circulatory system (DCS) and socioeconomic, demographic, and healthcare variables were sourced from the Bureau of National Statistics and the Ministry of Health. Variables included gross regional product per capita, population density, living wage, unemployment rates, average monthly salary, Gini coefficient, income below subsistence level, housing space per capita, average monthly wage in healthcare, doctor and nurse densities per 10,000 population, and number of hospital beds. A correlation analysis was performed followed by stepwise regression to identify significant predictors. The analysis identified that higher living wages (β = 0.7), population density (β = 0.275), nurse density (β = 0.212), and average monthly salary (β = 0.502) were positively associated with higher DCS incidence rates. Conversely, gross regional product per capita (β = -0.68), housing space per capita (β = -0.441), and income below the subsistence level (β = -0.161) were negatively associated with DCS incidence. The model explained approximately 63.7% of variance in DCS incidence. Socioeconomic and healthcare factors significantly influence the incidence of circulatory diseases in Kazakhstan. Policies aimed at improving economic conditions such as increasing living wages and reducing unemployment may help lower DCS morbidity. Additionally, equitable distribution of healthcare resources like nurses could enhance early detection and management of circulatory diseases, contributing to better public health outcomes in a middle-income country setting.

Vaccination is a critical public health measure for preventing infectious diseases, but its acceptance varies globally, influenced by factors like vaccine hesitancy. This study examines attitudes and vaccination literacy among Kazakh students, providing insights into global immunization strategies. A cross-sectional survey was conducted with 3142 students from various Kazakh universities. The HLS19-VAC instrument assessed vaccination literacy, while additional questions evaluated beliefs and attitudes toward vaccines. Data were analyzed to determine associations between vaccine-related beliefs and literacy. The mean vaccination literacy score was 84.74. Most students agreed on the importance (83.4%), safety (79.1%), effectiveness (80.9%), and religious compatibility (77.8%) of vaccines. Positive beliefs significantly correlated with higher literacy scores. Past vaccination behavior, age, gender, and location showed varied associations, with past vaccination status and higher age showing a positive correlation. Positive beliefs about vaccinations were strongly associated with higher vaccination literacy among Kazakh students. Educational interventions that reinforce positive beliefs may improve vaccination literacy and increase vaccination rates. This study underscores the importance of understanding vaccination attitudes to enhance public health strategies in middle-income countries.