A Multilevel Logit Estimation on the Determinants of Utilization of Preventive Health Care and Healthy Lifestyle Practice in China.

The purpose of this study is to provide policy implications by estimating the individual and community level determinants of preventive health-care utilization in China based upon data from the China Health and Nutrition Survey. Two different frameworks, a human capital model and a psychological-behavioral model, are tested using a multilevel logit estimation. The results demonstrate different patterns for medical and nonmedical preventive activities.

Self-rated health and social capital in transitional countries: Multilevel analysis of comparative surveys in Armenia, Azerbaijan, and Georgia.

The objective of this study is to analyze the effect of social capital on self-rated health in transitional countries of the South Caucasus region. The study is based on recent, 2009, cross-sectional nationally-representative surveys of 2082 respondents in Armenia, 2014 in Azerbaijan, and 1837 in Georgia with response rate of 78-80%. Two-level random-coefficient ordered logistic regression, modeling individual and community variations in subjective health was estimated to account for the hierarchical structure of the data set which includes individuals nested within communities.

The inequity in out-of-pocket expenditures for healthcare in Tajikistan: evidence and implications from a nationally representative survey.

Objective: Out-of-pocket expenditures (OPE) for healthcare are a widespread and enduring phenomenon in post-communist countries. However, evidence regarding their effect on health equity is limited, especially in the low-income countries of Central Asia. With this in mind, the current paper presents the results of an analysis of the impact of OPE on equity in Tajikistan, one of the poorest transitional countries.

Does prenatal healthcare improve child birthweight outcomes in Azerbaijan? Results of the national Demographic and Health Survey.

This paper evaluates the effectiveness of prenatal healthcare in Azerbaijan on improving child birthweight using the 2006 Azerbaijan Demographic and Health Survey, a nationally representative survey of reproductive aged women. Two measures of prenatal health utilization are used to measure healthcare input-the number of prenatal visits and the quality index of health care. Endogeneity in prenatal healthcare utilization is controlled by 2SLS regression.

On the socio-economic determinants of antenatal care utilization in Azerbaijan: evidence and policy implications for reforms.

Azerbaijan is a country with one of the highest child mortality rates in the regions of Eastern Europe and the former Soviet Union. Drawing on the nationally representative Demographic and Health Survey, this study examines the utilization of antenatal care in Azerbaijan to identify the socio-economic determinants of the usage, and its frequency, timing and quality. Consequently, binomial logit, two ordered logit and negative binomial regression models are specified to estimate the effect of various socio-economic characteristics on the likelihood of utilization.

Comparing and contrasting poverty reduction performance of social welfare programs across jurisdictions in Canada using Data Envelopment Analysis (DEA): an exploratory study of the era of devolution.

In the mid-1990s, the responsibilities to design, implement, and evaluate social welfare programs were transferred from federal to local jurisdictions in many countries of North America and Europe through devolution processes. Devolution has caused the need for a technique to measure and compare the performances of social welfare programs across multiple jurisdictions. This paper utilizes Data Envelopment Analysis (DEA) for a comparison of poverty reduction performances of jurisdictional social welfare programs across Canadian provinces.

Determinants of maternity health care utilization in Tajikistan: learning from a national living standards survey.

This study examines the demographic, economic, social, and geographic factors that help explain maternity health care utilization in Tajikistan, a low-income transitional country in Central Asia, based on a newly available nationally representative living standard survey. Two regression models, namely, a binomial logit model and a zero-inflated negative binomial (ZINB) model are estimated. The estimations of the two models show strikingly consistent results--the year of last childbirth, educational attainment, and the availability of public infrastructure are important predictors of maternity health care utilization.

Modelling prenatal health care utilization in Tajikistan using a two-stage approach: implications for policy and research.

Since the transition from a centrally planned to a market economy, Tajikistan has witnessed a high rate of child and maternal mortality, a decline in the birth rate and a significant drop in public expenditures on health care. Against this backdrop, this paper analyses the determinants of prenatal health care utilization using Andersen's behavioural model, which has been modified to the context of Tajikistan. We applied a two-stage sequential model to data drawn from a nationally representative survey.