Despite economic growth and improved health outcomes over the past few decades, China still experiences striking urban-rural health inequalities. Urban and rural residents distinguished by the hukou system may experience profound disparities because of institutional effect. The aim of this study is to estimate trends in urban-rural disparities in self-care, outpatient care, and inpatient care utilization from a perspective of the hukou system. Data were extracted from the seven latest waves of the China Health and Nutrition Survey (CHNS). We used the hukou system to distinguish between urban and rural residents. Chi-square tests were performed to examine urban-rural gaps in self-care, outpatient care, and inpatient care utilization. Multinomial logistic regression was employed to confirm these disparities and to explore whether the urban-rural gaps have narrowed or widened from 1993 to 2011 once known determinants of utilization are taken into account according to Andersen/Aday’s Health Behaviour Model. The urban-rural disparities were evident after controlling for confounding variables: urban adults were 3.24 (p < 0.05), 2.23 (p < 0.1), and 4.77 (p < 0.01) times more likely to choose self-care vs. no care, outpatient care vs. no care, and inpatient care vs. no care than their rural counterparts, respectively. The results showed upward trends in self-care, outpatient care, and inpatient care utilization from 2004 to 2011. The urban-rural gaps in health care utilization gradually narrowed during the period of 1993–2011. The hukou distinctions of self-care, outpatient care, and inpatient care in 2011 were only 33.3%, 35.5%, and 9.6% of that in 1993, respectively. Although rural residents were underutilizing health care when compared to their urban counterparts, the significant decrements in urban-rural disparities reflect the positive effect of the on-going health system reform in China. To maintain an equitable distribution of health care utilization, policy makers need to be aware of challenges due to aging problems and health expenditure increment.

China has experienced a rapid increase in hypertension over the past decade, especially in rural. Therefore, the aim of this research is to examine the dynamic trends in urban-rural disparities in hypertension prevalence, detection, and medication use among Chinese adults from 1993 to 2011. Data were extracted from the seven latest waves of the China Health and Nutrition Survey (CHNS). We used the hukou system to distinguish between urban and rural residents. Chi-square tests were performed to examine urban-rural gaps in hypertension prevalence, detection and medication use. Multiple logistic regressions were used to confirm these disparities and to explore whether the urban-rural gaps have narrowed or widened from 1993 to 2011, after controlling for health-related behaviors, BMI, demographic variables and socioeconomic characteristics. Blinder-Oaxaca decomposition technique was also used to calculate the extent to which urban-rural disparities reflect an endowments effect or a coefficients effect. Hypertension prevalence, detection, and medication use among rural adults were significantly lower than urban adults, with the significant level at p < 0.001. The urban-rural gaps in hypertension prevalence and medication use gradually narrowed during the period 1993–2011, whereas the gaps in hypertension detection grew wider. After controlling for confounding variables, urban adults were about 24.5, 49.4, and 89.5% more likely to be hypertensive, detected, and medicated than their rural counterparts (p < 0.01), respectively. The Blinder-Oaxaca decomposition suggested that approximately 22 and 26% of the urban-rural gap in hypertension detection and medication use could be attributed to coefficient difference, respectively. Although hypertension prevalence among rural adults was comparable to that of urban adults, hypertension detection and medication use of rural adults were still suboptimal. Unusually large urban-rural gaps and an expanding trend in hypertension detection deserve the attention of health policymakers and researchers.

Objectives: To examine the prevalence of loneliness and to explore the association between loneliness and health service utilization among the rural elderly in Shandong Province, China. Methods: A total of 5514 rural people aged 60 and above from Shandong Province, China, were enrolled in this study. Loneliness was used as a binary variable based on a single-item question. Health service utilization was measured by recent two-week physician visits and annual hospitalizations rates. Multiple logistic regression analysis was performed to examine the association between loneliness and health service utilization. Results: The prevalence of loneliness among the rural elderly in Shandong, China, was 25.0%. Loneliness was associated with higher rates of recent two-week physician visits (OR = 1.260, p < 0.01) and annual hospitalizations (OR = 1.183, p < 0.05). The regression results also showed that self-rated health status and chronic conditions were significant and positively associated with both physician visits and hospitalizations rates. Conclusions: Loneliness had a significant association with higher odds of health service utilization among the elderly. The independent contribution of loneliness on health service utilization was smaller than self-rated health status and chronic conditions. Thus, healthcare policies need to shift from an emphasis on controlling health utilization and cost to a greater focus on enabling lonely older people to get more social support.

This study aims to assess the association between body mass index (BMI) and health-related quality of life (HRQOL), and to further explore gender differences in BMI-HRQOL association among adults. We used data from the fifth Health Service Survey of Shandong Province, which was part of China’s National Health Service Survey (NHSS), a total of 27,257 adults aged 18 and over were interviewed. The HRQOL was measured using the EuroQOL-5 Dimensions (EQ-5D) instrument. One-way ANOVA and Post hoc tests were used to compare EQ-5D utility values and visual analogue scale (VAS) scores between BMI categories. Tobit regression models were used to identify the association between BMI and HRQOL for male and female separately after controlling for influential confounders, and to assess gender differences on the relationship between BMI and HRQOL. The prevalence of underweight in men and women were 3.2 and 5.3%, respectively, while the prevalence of overweight/obesity in men and women were 35.7 and 34.6%, respectively. Men had higher EQ-5D utility values and VAS scores than women. The mean EQ-5D utility value and VAS score was highest in obese men and normal-weight women, respectively. After controlling potential confounders, being underweight was significantly and negatively associated with lower HRQOL among adults. The relationship between obesity and gender was that in women obesity was negatively and significantly associated with HRQOL, whereas in men this association was positive but not statistically significant. Results of gender by BMI interaction in regression model showed that this difference between men and women in this respect was significant. The association between BMI and HRQOL differed by gender and the so-called “obesity-HRQOL paradox” phenomenon was verified in male adults. Gender difference should be considered when implementing targeted weight control programs and appropriate interventions to improve HRQOL.

Background: There is a dearth of research combining geographical big data on medical resource allocation and growth with various statistical data. Given the recent achievements of China in economic development and healthcare, this study takes China as an example to investigate the dynamic geographical distribution patterns of medical resources, utilizing data on healthcare resources from 290 cities in China, as well as economic and population-related data. The study aims to examine the correlation between economic growth and spatial distribution of medical resources, with the ultimate goal of providing evidence for promoting global health equity. Methods: The data used in this study was sourced from the China City Statistical Yearbook from 2001 to 2020. Two indicators were employed to measure medical resources: the number of doctors per million population and the number of hospital and clinic beds per million population. We employed dynamic convergence model and fixed-effects model to examine the correlation between economic growth and the spatial distribution of medical resources. Ordinary least squares (OLS) were used to estimate the β values of the samples. Results: The average GDP for all city samples across all years was 36,019.31 ± 32,029.36, with an average of 2016.31 ± 1104.16 doctors per million people, and an average of 5986.2 ± 6801.67 hospital beds per million people. In the eastern cities, the average GDP for all city samples was 47,672.71 ± 37,850.77, with an average of 2264.58 ± 1288.89 doctors per million people, and an average of 3998.92 ± 1896.49 hospital beds per million people. Cities with initially low medical resources experienced faster growth (all β < 0, P < 0.001). The long-term convergence rate of the geographic distribution of medical resources in China was higher than the short-term convergence rate (|β_i + 1| > |β_i|, i = 1, 2, 3, …, 9, all β < 0, P < 0.001), and the convergence speed of doctor density exceeded that of bed density (bed: |β_i| >doc: |β_i|, i = 3, 4, 5, …, 10, P < 0.001). Economic growth significantly affected the convergence speed of medical resources, and this effect was nonlinear (doc: β_i < 0, i = 1, 2, 3, …, 9, P < 0.05; bed: β_i < 0, i = 1, 2, 3, …, 10, P < 0.01). The heterogeneity between provinces had a notable impact on the convergence of medical resources. Conclusions: The experiences of China have provided significant insights for nations worldwide. Governments and institutions in all countries worldwide, should actively undertake measures to actively reduce health inequalities. This includes enhancing healthcare standards in impoverished regions, addressing issues of unequal distribution, and emphasizing the examination of social determinants of health within the domain of public health research.

Objectives In her quest to reduce maternal mortality, Ghana introduced a free maternal healthcare programme under the National Health Insurance Scheme. This study aimed to evaluate if women registered with the insurance had a better chance of accessing maternal healthcare services in two districts in Ghana. Setting We conducted a cross-sectional quantitative study involving household interviews of all women of the reproductive age group (15–49 years) residing in Kintampo North Municipality and Kintampo South District in Ghana from May to July 2015. Logistics regression analysis at 95% CI was used to determine the independent associations between maternal health insurance and use of antenatal care, facility-based delivery and postnatal care services. Participants Women who had children aged 3–12 months were selected to take part in the study. Results We observed that women with insurance are 39.5 times more likely to have a maximum of six antenatal care visits and 2.6 times more likely to have an average of four antenatal care visits than those without insurance. Additionally, they are 5.3 times more likely to have facility-based delivery than those without insurance. An association was also found between postnatal care use and insurance as women who do not have insurance are 12.0 (1/0.083) times more likely to receive postnatal care than those with insurance. Conclusions Pregnant women who registered with health insurance had at least four antenatal care visits and delivered in a health facility. However majority of them did not go for postnatal care.