Medical insurance benefits and health inequality: evidence from rural China.

Alleviating health inequality among different income groups has become a significant policy goal in China to promote common prosperity. Based on the data from the China Health and Retirement Longitudinal Study (CHARLS) covering the period from 2013 to 2018, this study empirically examines the impact of Integrated Medical Insurance System (URRBMI) on the health and health inequality of older adult rural residents. The following conclusions are drawn: First, URRBMI have elevated the level of medical security, reduced the frailty index of rural residents, and improved the health status of rural residents. Second, China exhibits "pro-rich" health inequality, and URRBMI exacerbates health inequality among rural residents with different incomes. This result remains robust when replacing the frailty index with different health modules. Third, the analysis of influencing mechanisms indicates that the URRBMI exacerbate inequality in the utilization of medical services among rural residents, resulting in a phenomenon of "subsidizing the rich by the poor" and intensifying health inequality. Fourth, in terms of heterogeneity, URRBMI have significantly widened health inequality among the older adult and in regions with a higher proportion of multiple-tiered medical insurance schemes. Finally, it is suggested that China consider establishing a medical financing and benefit assurance system that is related to income and age and separately construct a unified public medical insurance system for the older adult population.

The impact of basic pension for urban and rural residents on the subjective well-being of the older adult in Chinese rural areas.

Introduction: As an important component of the social security system, basic pension insurance for urban and rural residents is expected to improve the quality of life of rural older adult people and make their lives better and happier. This article mainly studies the relationship between the basic pension for urban and rural residents and the subjective well-being of older adult people in rural China. Methods: This paper uses data from the China Health and Retirement Longitudinal Study (CHARLS) for the years 2018 and 2020. It selected samples of rural older adult people aged 60 and above, ultimately obtaining 9,310 samples. The impact of the basic pension for urban and rural residents on the subjective well-being of rural older adult people was estimated by constructing Ordinary Least Squares (OLS) estimation methods and ordered logistic regression models. The robustness of the results was verified by changing the regression methods, and the samples were divided into different groups for heterogeneity analysis according to three different standards. Results: The results show that the basic pension for urban and rural residents significantly improves the life satisfaction of rural older adult, reduces their degrees of depression, and thereby enhances their subjective well-being. The impact of the basic pension for urban and rural residents is more significant for older adult individuals in areas with a higher gender ratio, those suffering from chronic diseases, and those in the eastern regions of the country. Further verification indicates that the basic pension for urban and rural residents enhances the subjective well-being of the rural older adult by improving their health status and reducing their labor supply. Discussion: Most of the existing research on basic pension insurance for urban and rural residents and subjective well-being has been conducted from the perspective of whether individuals are enrolled in the pension scheme or whether they received a pension. However, there are few studies analyzing from the perspective of the amount of pension benefits received by residents. The results of this study help to enrich the research perspective on the basic pension insurance system for urban and rural residents in China and expand the understanding of the impact and value of the basic pension for urban and rural residents.

The impact of infectious disease experience on household consumption: evidence from rural China.

Objective: The issue of low consumption among rural households in China has a longstanding history, and the experience of infectious diseases may exacerbate the existing challenges in fostering consumption growth. However, studies that characterize the impact of infectious diseases on household consumption are limited in China. This study aims to explore rural household consumption responses to infectious diseases post-assessment, and identify the underlying mechanisms. Methods: A total of 1,539 rural households from China Family Panel Studies (CFPS) datasets of 2014, 2016, 2018, and 2020 were recruited as the study sample. The presence of infectious disease experience was employed as the independent variable and household consumption as the dependent variable. A panel fixed effects (FE) regression model was initially employed to identify the influence of infectious disease experiences on rural household consumption. The instrumental variable (IV) method was used to address potential endogeneity between independent and dependent variables. Robustness checks such as Propensity Score Matching (PSM) test were employed to ensure the reliability of the findings. Results: The results reveal a statistically significant negative impact of infectious disease experiences on consumption over time, becoming no more significant at around 7-9 years post-disaster. This effect leads to more pronounced consumption deprivation for households with limited health insurance coverage and heightened healthcare resource constraints. The mechanism test indicates that infectious disease experiences affect the consumption levels of rural households through channels that include income constraints, the crowding-out of healthcare expenditure, and risk perception, with the precautionary savings motive acting as a moderator. Furthermore, the diminishing effect of infectious diseases on individual consumption surpasses that of natural disasters. Temporal discrepancy is observed in the impacts of infectious and chronic disease shocks on household consumption. The accumulation of liquid assets emerges as an effective strategy for households to mitigate the impact of infectious disease shocks. Conclusion: The findings underscore the importance of integrating short- and long-term policies to bolster consumption capacity, strategically allocate inter-regional medical resources, and fortify the resilience of rural households against economic risks.

How does diagnosis-related group payment impact the health care received by rural residents? Lessons learned from China.

OBJECTIVES: There is growing evidence that differences exist between rural and urban residents in terms of health, access to care and the quality of health care received, especially in low- and middle-income countries (LMICs). To improve health equity and the performance of health systems, a diagnosis-related group (DRG) payment system has been introduced in many LMICs to reduce financial risk and improve the quality of health care. The aim of this study was to examine the impact of DRG payments on the health care received by rural residents in China, and to help policymakers identify and design implementation strategies for DRG payment systems for rural residents in LMICs. STUDY DESIGN: Health impact assessment. METHODS: This study compared the impact of DRG payments on the healthcare received by rural residents in China between the pre- and post-reform periods by applying a difference-in-difference (DID) methodology. The study population included individuals with three common conditions; namely, cerebral infarction, transient ischaemic attack (TIA), and vertebrobasilar insufficiency (VBI). Data on patient medical insurance type were assessed, and those who did not have rural insurance were excluded. RESULTS: This study included 13,088 patients. In total, 33.63% were from Guangdong (n = 4401), 38.21% were from Shandong (n = 5002), and 28.16% were from Guangxi (n = 3685). The DID results showed that the implementation of DRGs was positively associated with hospitalization expense (ß4 = 0.265, P = 0.000), treatment expense (ß4 = 0.343, P = 0.002), drug expense (ß4 = 0.607, P = 0.000), the spending of medical insurance funds (ß4 = 0.711, P = 0.000) and out-of-pocket costs (ß4 = 0.164, P = 0.000). CONCLUSIONS: The findings of this study suggest that the implementation of DRG payments increases health care costs and the financial burden on health systems and rural patients in LMICs. This is contrary to the original intention of implementing the DRG payment system.

Evidence From the China Family Panel Studies Survey on the Effect of Integrating the Basic Medical Insurance System for Urban and Rural Residents on the Health Equity of Residents: Difference-in-Differences Analysis.

BACKGROUND: The fragmentation of the medical insurance system is a major challenge to achieving health equity. In response to this problem, the Chinese government is pushing to establish the unified Urban and Rural Resident Basic Medical Insurance (URRBMI) system by integrating the New Rural Cooperative Medical Scheme and the Urban Resident Basic Medical Insurance. By the end of 2020, URRBMI had been implemented almost entirely across China. Has URRBMI integration promoted health equity for urban and rural residents? OBJECTIVE: This study aims to examine the effect of URRBMI integration on the health level of residents and whether the integration can contribute to reducing health disparities and promoting health equity. METHODS: We used the staggered difference-in-differences method based on the China Family Panel Studies survey from 2014 to 2018. Our study had a nationally representative sample of 27,408 individuals from 98 cities. We chose self-rated health as the measurement of health status. In order to more accurately discern whether the sample was covered by URRBMI, we obtained the exact integration time of URRBMI according to the official documents issued by local governments. Finally, we grouped the sample by urban and rural areas, regions, and household income to examine the impact of the integration on health equity. RESULTS: We found that overall, the URRBMI integration has improved the health level of Chinese residents (B=0.066, 95% CI 0.014-0.123; P=.01). In terms of health equity, the results showed that first, the integration has improved the health level of rural residents (B=0.070, 95% CI 0.012-0.128; P=.02), residents in western China (B=0.159, 95% CI 0.064-0.255; P<.001), and lower-middle-income groups (B=0.113, 95% CI 0.004-0.222, P=.04), so the integration has played a certain role in narrowing the health gap between urban and rural areas, different regions, and different income levels. Through further mechanism analysis, we found that the URRBMI integration reduced health inequity in China by facilitating access to higher-rated hospitals and increasing reimbursement rates for medical expenses. However, the integration did not improve the health of the central region and low-income groups, and the lack of access to health care for low-income groups was not effectively reduced. CONCLUSIONS: The role of URRBMI integration in promoting health equity among urban and rural residents was significant (P=.02), but in different regions and income groups, it was limited. Focusing on the rational allocation of medical resources between regions and increasing the policy tilt toward low-income groups could help improve the equity of health insurance integration.

Associations between digital literacy, health literacy, and digital health behaviors among rural residents: evidence from Zhejiang, China.

OBJECTIVE: Within the digital society, the limited proficiency in digital health behaviors among rural residents has emerged as a significant factor intensifying health disparities between urban and rural areas. Addressing this issue, enhancing the digital literacy and health literacy of rural residents stands out as a crucial strategy. This study aims to investigate the relationship between digital literacy, health literacy, and the digital health behaviors of rural residents. METHODS: Initially, we developed measurement instruments aimed at assessing the levels of digital literacy and health literacy among rural residents. Subsequently, leveraging micro survey data, we conducted assessments on the digital literacy and health literacy of 968 residents in five administrative villages in Zhejiang Province, China. Building upon this foundation, we employed Probit and Poisson models to empirically scrutinize the influence of digital literacy, health literacy, and their interaction on the manifestation of digital health behaviors within the rural population. This analysis was conducted from a dual perspective, evaluating the participation of digital health behaviors among rural residents and the diversity to which they participate in such behaviors. RESULTS: Digital literacy exhibited a notably positive influence on both the participation and diversity of digital health behaviors among rural residents. While health literacy did not emerge as a predictor for the occurrence of digital health behavior, it exerted a substantial positive impact on the diversity of digital health behaviors in the rural population. There were significant interaction effects between digital literacy and health literacy concerning the participation and diversity of digital health behaviors among rural residents. These findings remained robust even after implementing the instrumental variable method to address endogeneity issues. Furthermore, the outcomes of robust analysis and heterogeneity analysis further fortify the steadfastness of the aforementioned conclusions. CONCLUSION: The findings suggest that policymakers should implement targeted measures aimed at enhancing digital literacy and health literacy among rural residents. This approach is crucial for improving rural residents' access to digital health services, thereby mitigating urban-rural health inequality.

Buying a Wealthy Dream: Determinants of Rural Residents' Lottery Purchase Behavior in China.

The expansion of illicit lottery activities has caused significant harm to both agricultural production and the livelihood of rural residents. An analysis of the factors that influence rural residents' participation in underground lotteries can provide crucial insight for regulating the lottery industry's development. This study examines the present state of rural residents' participation in underground lotteries, investigates the factors that impact their participation using the Double-Hurdle model, and further employs the ISM model to evaluate the correlations and hierarchical structure among the factors, using field survey data collected from 603 rural residents in S Province, China. The findings reveal that 53.07% of the respondents have participated in underground lotteries. Risk preference, information acquisition, social networks, age, education, family burden, percentage of agricultural labor, agricultural business scale, and household income significantly affect whether residents purchase lotteries (WPL). All factors, except the percentage of agricultural labor and agricultural business scale, also significantly impact underground lottery spending (LS). Among the significant influencing factors, rural residents' risk preference is the direct surface factor, whereas agricultural business scale, household income, information acquisition, and social networks are the middle indirect factors, and residents' age, education, family burden, and percentage of agricultural labor are the deep-rooted factors. It is recommended to regulate the lottery industry's development can be achieved by enhancing entertainment and cultural activities, expanding economic opportunities, enhancing rural education, increasing law awareness, and improving the public welfare lottery business model. The conclusions offer a valuable reference point for the standardized development of the lottery industry and the promotion of social stability in rural areas.

Impacts of Habit Formation Effect on Food Consumption and Nutrient Intake in Rural China.

This study employs panel data and a dynamic Almost Ideal Demand System (AIDS) model to investigate the habit formation effect of food consumption among Chinese rural residents and its consequential impact on nutritional intake. The dataset, spanning from 2012 to 2018, encompasses nine provinces in China and involves 5390 rural households. The findings reveal that, excluding beef, mutton, and poultry, there are significant habit formation effect on the consumption of food categories, notably grains, vegetables, and edible oils. Lower-income and younger demographics demonstrate a more pronounced reliance on established dietary habits. Influenced by the habit formation effect, there is a substantial reduction in the income elasticity differences across various food types. Overlooking the habit formation effect in food consumption would lead to an underestimation of the income elasticity of energy, fat, and carbohydrates. This suggests that, over the long term, food consumption habit formation is a pivotal factor in enabling the enhancement of residents' dietary structures, amplifying the incremental energy intake associated with income increases, and accelerating the transition towards nutritional surplus. The conclusions drawn from this study offer valuable insights for ensuring food security and nutritional balance. Policy-makers of food and nutrition strategies should duly consider the habit formation effect on residents' food consumption, and seek to optimize dietary patterns and promote nutritional transformation by food consumption habit intervention.

Prevalence and factors associated with dynapenia among middle-aged and elderly people in rural southern China.

To estimate the prevalence of dynapenia and examine potential risk factors for dynapenia using a sample of rural middle-aged and elderly Chinese. A cross-sectional study of 253 Chinese adults aged 50 years and older was conducted from June to August in 2022 in Nanjing. A questionnaire was used to collect data on all socioeconomic variables. Body weight, height, body fat percentage, grip strength, waist circumference, calf circumference, and gait speed were measured. The prevalence of dynapenia was 69.6 %, 62.3 % in men and 72.7 % in women respectively. Binary logistic regressions indicated significant associations between dynapenia and age (odds ratio [OR] = 2.59; 95 % confidence interval [CI] 1.63, 4.12; p < 0.001), educational level (OR = 0.55; 95 % CI 0.38, 0.80; p = 0.002). Dynapenia was prevalent among rural middle-aged and elderly people in southern China. Age and lower education level were both associated with dynapenia. Nutrition and physical activity should be strongly recommended as important strategies to maintain and improve muscle strength.

Exposure risk to rural Residents: Insights into particulate and gas phase pesticides in the Indoor-Outdoor nexus.

Rural residents are exposed to both particulate and gaseous pesticides in the indoor-outdoor nexus in their daily routine. However, previous personal exposure assessment mostly focuses on single aspects of the exposure, such as indoor or gaseous exposure, leading to severe cognition bias to evaluate the exposure risks. In this study, residential dust and silicone wristbands (including stationary and personal wearing ones) were used to screen pesticides in different phases and unfold the hidden characteristics of personal exposure via indoor-outdoor nexus in intensive agricultural area. Mento-Carlo Simulation was performed to assess the probabilistic exposure risk by transforming adsorbed pesticides from wristbands into air concentration, which explores a new approach to integrate particulate (dust) and gaseous (silicone wristbands) pesticide exposures in indoor and outdoor environment. The results showed that particulate pesticides were more concentrated in indoor, whereas significantly higher concentrations were detected in stationary outdoor wristbands (p < 0.05). Carbendazim and chlorpyrifos were the most frequently detected pesticides in dust and stationary wristbands. Higher pesticide concentration was found in personal wristbands worn by farmers, with the maximum value of 2048 ng g-1 for difenoconazole. Based on the probabilistic risk assessment, around 7.1 % of farmers and 2.6 % of bystanders in local populations were potentially suffering from chronic health issues. One third of pesticide exposures originated mainly from occupational sources while the rest derived from remoting dissipation. Unexpectedly, 43 % of bystanders suffered the same levels of exposure as farmers under the co-existence of occupational and non-occupational exposures. Differed compositions of pesticides were found between environmental samples and personal pesticide exposure patterns, highlighting the need for holistic personal exposure measurements.

Malignant neoplasms of the vagina: A 30-year review from the Republic of Belarus.

Objective: To perform a retrospective review of patients diagnosed with vaginal malignant neoplasms (VMN) in the Republic of Belarus. Methods: The Belarusian Cancer Registry was reviewed for patients diagnosed with VMN from 1990 to 2019. The data collected included age at diagnosis, demographic information, histology, stage, treatment modalities, and outcomes. Data were compared across decades (1990-1999, 2000-2009, and 2010-2019). Results: A total of 868 patients were diagnosed with VMN in Belarus between 1990 and 2019. The estimated age-standardized incidence rate of VMN per 100,000 female population increased from 0.1 in 1999 to 0.4 in 2019 (p < 0.05). The mortality rate for this period was 0.0-0.2 per 100,000 female population. Of all newly diagnosed cases of VMN, 70.9% (n = 615) lived in urban centers and 29.1% (n = 253) lived in rural areas. The most common histological type was squamous cell carcinoma, accounting for 78.4% of cases. The median age at diagnosis was 63.4 years (range, 15.0-87.0 years). When compared across the three decades, the number of stage I cases increased slightly more than twofold (from 19.1% to 38.5% for 1990-1999 to 2010-2019). Furthermore, the number of stage III cases decreased from 30.3% to 13.0% from 1990 to 1999 to 2010-2019. There were no significant changes in the number of patients diagnosed with stage II or IV disease over time. The overall 5-year survival rate for the entire group was 68.7 ± 5.1%, with no statistically significant difference between women living in urban centers vs. rural areas (67.8 ± 5.1% vs. 65.8 ± 10.4%; p = 0.99). However, there was a 26.2% increase in the 5-year survival rate for the entire group over the study period. This increase was higher for women living in rural areas (+61.7%) than for those in urban centers (+51.3%); p > 0.05. Furthermore, a comparison of 5-year adjusted survival rates between 2000 and 2015 showed increased survival for stages I, II, and III, with the most significant increase noted for stage III disease (2.4-fold increase). Conclusions: This retrospective study found that the survival rates of women with VMN in Belarus have improved over the past 30 years. This is likely due to improvements in early detection as well as improved approaches to treatment, particularly for those living in rural areas. Additional study is needed to further understand and improve the outcomes of women diagnosed with VMN in Belarus.

The impact of COVID-19 on health literacy among Chinese rural residents.

The outbreak of the Coronavirus disease 2019 (COVID-19) pandemic is an opportunity to improve the health literacy of rural residents. This study aims to explore the levels of health literacy among rural residents during the COVID-19 pandemic and investigate the effects of COVID-19-related variables on the health literacy of rural residents. A total of 882 rural residents aged 15-69 years in Shaanxi province participated in this study and completed the questionnaires about health literacy and COVID-19-related variables. These results showed that although overall health literacy and three aspects of health literacy among rural residents were low and lower than those of Chinese national residents, there was no significant difference in health literacy about safety and emergency between rural residents and Chinese national residents. Additionally, COVID-19-related variables significantly predicted health literacy (i.e. scientific health, safety and emergency and infectious disease prevention). Importantly, unlike other types of health literacy, the effect of a COVID-19-related variable (i.e. the frequency of exposure to news about the COVID-19 pandemic) on infectious disease prevention was only slightly smaller than the effect of high education on infectious disease prevention, and low education was no longer a significant predictor of infectious disease prevention. To conclude, rural residents in Shaanxi province have low health literacy. Education is a major factor affecting the health literacy of rural residents, and the frequency of exposure to news about the pandemic may compensate for the negative impact of low education on health literacy.

The Effect of "Offline-to-Online" Trust Transfer on the Utilization of Online Medical Consultation Among Chinese Rural Residents: Experimental Study.

BACKGROUND: Online medical consultation can serve as a valuable means for rural residents to access high-quality health care resources, thereby mitigating the geographic and economic disadvantages prevalent in rural areas. Nevertheless, due to lower cognitive abilities, rural residents often face challenges in trusting and making effective use of online medical consultations. More likely, adopting a bounded rational decision-making model that facilitates the "offline-to-online" trust transfer could prove to be a potentially effective approach. This strategy aims to encourage less technologically experienced rural residents to trust and make use of online medical consultations. OBJECTIVE: This study aims to characterize the status of "offline-to-online" trust transfer among rural residents in the context of internet health care, and analyze its direct impact on facilitating the utilization of online medical consultation. Additionally, we investigate the family spillover effect of "offline-to-online" trust transfer in promoting the use of online medical consultation among rural family members, considering its distributional effect across various education levels of the population. METHODS: A multistage stratified random sampling method was used to survey participants in rural areas of China from July to September 2021, encompassing a total of 2597 rural residents from 960 rural households. Propensity score values were estimated using logit regression, and the propensity score matching method, using the K-nearest neighbor matching, radius matching, and kernel matching methods, was applied to create matched treatment and control samples of rural residents based on their experience of "offline-to-online" trust transfer. Subsequently, we calculated average treatment effect scores to compare the differences in utilizing online medical consultation between the treatment and control rural samples. RESULTS: As many as 551/960 (57.4%) rural residents experienced an "offline-to-online" trust transfer, with a higher likelihood observed in the older population with lower levels of education and higher satisfaction with local health care services. Furthermore, rural residents who underwent "offline-to-online" trust transfer were 37%-40% more likely to utilize online medical consultation compared with those who did not experience this trust transfer. Additionally, family members of householders who underwent "offline-to-online" trust transfer were 25%-28% more likely to utilize online medical consultation than those whose householders did not experience this trust transfer. Notably, when compared with populations with high-level education, the "offline-to-online" trust transfer had more significant direct and spillover effects on the utilization of online medical consultation services among rural residents with low-level education. CONCLUSIONS: To enhance the "offline-to-online" trust transfer among rural residents and its facilitation in their utilization of online medical consultation, as well as other mobile health (mHealth) and ubiquitous health (uHealth) services, we recommend that online health care providers adopt a "patient-oriented" service model. This approach aims to elevate rural residents' satisfaction with local health care services and harness the trust-building functions inherent in physician-patient relationships and among family members.

[Comparative Analysis of Influencing Factors of Health Service Utilization Among Urban and Rural Residents in Tibet].

Objective: To examine the differences and commonalities of factors influencing the utilization of health services among urban and rural residents in Tibet and to identify vulnerable populations in the utilization of health services, thereby providing references for the formulation of local health policies and the allocation of health resources. Methods: Using the Tibetan area data from the Sixth National Health Service Survey, we conducted statistical analysis of the health service utilization status of 8 297 residents of agro-pastoral areas and 2 179 residents of urban areas with χ 2 test and logistic regression model. Results: The two-week outpatient visit rates of residents in agro-pastoral areas and that of the urban residents were 65.3% and 57.1%, respectively, and the one-year hospitalization rates were 8.3% and 8.9%, respectively. The influencing factors of two-week outpatient visits for rural and pastoral residents included urban and rural health insurance coverage, Three Guarantees in One coverage, distance to medical facilities, chronic disease status, physical examination, family doctor contract status, employment status, and health status self-assessment. The influencing factors of two-week outpatient visit for urban residents included chronic disease status, urban and rural medical insurance coverage, health status self-assessment, health records, and physical examination. The factors influencing hospitalization for agro-pastoral residents were sex, age, marital status, urban and rural medical insurance coverage, Three Guarantees in One coverage, critical illness insurance, health self-assessment, mobility, health records, physical examination, and chronic disease status. The factors influencing the hospitalization of urban residents were sex, marital status, health status self-assessment, health records, urban employee medical insurance coverage, and chronic disease status. The factors influencing the hospitalization of urban residents were sex, marital status, health status self-assessment, health records, urban employee medical insurance coverage, and chronic disease status. Conclusion: The urban and rural residents in Tibet have relatively poor health and their awareness of seeking early medical help after they fall ill is relatively weak. The health institutions concerned should dedicate more attention to the vulnerable populations who have difficulty accessing health services, focus on the commonly shared influencing factors of health service utilization among urban and rural residents, take into account the differences, rationally allocate health resources, and improve the effective utilization rate of health services among residents in Tibet.

Cut-off value of the eHEALS score as a measure of eHealth skills among rural residents in Gansu, China.

Background: In this study, our aim was to quantify eHealth literacy and determine a cut-off value for eHEALS scores that signifies adequate eHealth literacy among rural residents in Gansu, China. Methods: This cross-sectional investigation encompassed 18 rural areas across three cities-Lanzhou, Wuwei, and Dingxi-in Gansu. A total of 451 residents were recruited and underwent evaluations for both eHealth literacy and eHealth skills, utilizing the eHEALS and self-constructed tasks, respectively. A receiving operator characteristic curve was plotted with eHealth skills as the dependent variable and eHealth literacy levels as the independent variable, aiming to determine a cut-off value for eHEALS indicating adequate eHealth literacy and evaluate its predictive capacity. Results: Among the 451 respondents, 10.9% did not possess a personal electronic device with Internet access, while 6.4% owned but had never used them. Within the remaining 373 residents, the mean eHealth literacy score was 25.85 (SD:10.93), item scores ranged from 3.12 (SD:1.45) to 3.42 (SD:1.60). Completion rates for three eHealth skills varied from 39.1% to 59.8%. The cut-off value was 29.5 determined by the Youden index. The area under the receiver operating curve was 0.829, with a sensitivity of 86.7%, and a specificity of 66.8%. Conclusions: Our findings emphasized that eHealth literacy among rural residents remains at a low level. Moreover, we identified a cut-off value of 29.5 for eHEALS scores that signifies adequate eHealth literacy within this demographic.

Effects of basic medical insurance integration on subjective wellbeing of residents in China: empirical evidence from a quasi-experiment.

Introduction: Enhancing the wellbeing of residents through universal health coverage (UHC) is a long-term policy goal for China. In 2016, China integrated the New Rural Cooperative Medical Scheme (NRCMS) and the Urban Resident Basic Medical Insurance (URBMI) into the Urban and Rural Resident Basic Medical Insurance (URRBMI) to address the problem of fragmentation. Objective: The objective of this study was to investigate whether the integration of basic medical insurance had an impact on the subjective wellbeing of Chinese residents. Methods: Using the China Household Finance Survey data of 2015 and 2019, we empirically estimated the influence of the integration of basic medical insurance on Chinese residents through the difference-in-difference method based on propensity score matching (PSM-DID). Results: Our findings indicate that the integration of basic medical insurance improved the subjective wellbeing of the insured population. Additionally, through heterogeneity testing, we validated that the integration increased the subjective wellbeing of residents from less developed regions in West China and rural areas, as well as those with older adult dependents. However, the subjective wellbeing of low-income groups, who were expected to benefit more from the URRBMI, did not improve significantly, at least in the short term. Conclusion: According to our research, the integration of basic medical insurance in China supports the country's objective of achieving equality and providing universal benefits for its residents. The introduction of the URRBMI has had a positive impact on the subjective wellbeing of insured individuals. This is particularly beneficial for disadvantaged groups in less developed regions, as well as for residents with older adult dependents. However, the subjective wellbeing of the middle-income group has improved significantly, whereas that of the low-income group, despite being the intended beneficiaries of the integration, did not show significant improvement. Recommendations: From a funding perspective, we recommend establishing a dynamic adjustment funding system that links residents' medical insurance funding standards with their disposable income. Regarding the utilization of the URRBMI, the benefit packages should be expanded, particularly by covering more outpatient services through risk pooling. We call for further research with additional data and continued efforts on improving wellbeing of residents, particularly for disadvantaged populations.

Effect of agricultural carbon emissions on farmers' health expenditure of China: evidence from the educational threshold effect.

Environmental pollution, especially agricultural carbon emissions (ACE), has led to public health problems to rural areas in China and accompanied by a heavy medical economic burden. However, most studies on carbon dioxide emissions and healthcare expenditures focused on the industrial sector, and the effect of ACE was overlooked. Therefore, studying the effect of ACE on rural residents' healthcare expenditures (NHCE) is not only conducive to accelerating the low-carbon transformation of agriculture but also has important implications for reducing healthcare expenditures. In addition, the effect of ACE on NHCE in different areas might be complex and nonlinear due to differences in years of schooling (EDU) leading to different awareness of environmental protection and health among farmers. Therefore, this paper used the Bayesian quantile regression (BQR) model and the panel threshold model to explore the effect of ACE on NHCE in different areas, based on the panel data of 31 provinces in China from 2007 to 2019. The results showed that ACE and NHCE experienced similar spatial distribution from 2007 to 2019. The BQR estimation results found that ACE had a significant positive effect on NHCE at different quantile levels during the sample period, public health concern, and thereby increasing the medical and economic burden of rural households. Meanwhile, ACE had a positive effect on NHCE with a significant single threshold effect from EDU. Specifically, farmers gradually realize the harm of environmental pollution to health with the continuous improvement of education level, and then ACE aggravated the improvement of NHCE after exceeding the threshold. EDU was more essential for farmers in contiguous poverty (CP) areas than in relatively developed (RD) areas and played an important role between ACE and NHCE. Furthermore, demographic structure, economic development, and public services were also positive driving factors for NHCE. The results of analysis provide a valuable reference for understanding the factors influencing NHCE and enable formulation of ACE emission reduction policies according to local conditions.

Overage labor, intergenerational financial support, and depression among older rural residents: evidence from China.

Background: Depression is a major factor affecting the happiness of older rural residents. With the increasing aging of the Chinese population, overage labor is becoming more prevalent in rural areas of China. This study aimed to assess whether, and if so, how, overage labor affects depression status in older rural residents. Methods: Using data from the China Health and Retirement Longitudinal Study, this study explored the association between overage labor and depression among older rural residents by using ordinary least squares and moderated mediation models. Results: The results show that overage labor significantly reduced levels of depression in older rural residents. This result remained robust after using propensity score matching and double machine learning. Furthermore, the improvement of older rural residents' depression via overage labor is mainly achieved through work income, but this mediating effect is negatively moderated by intergenerational financial support. This implies that in traditional Chinese rural society, intergenerational financial support from children plays an important role in reducing depression among older rural residents. Conclusion: Our findings have potential policy implications for China and other developing countries in terms of addressing issues related to aging and depression in older adults.

Impact of pension income on healthcare utilization of older adults in rural China.

OBJECTIVE: In China, rural residents experience poorer health conditions and a higher disease burden compared to urban residents but have lower healthcare services utilization. Rather than an insurance focus on enhanced healthcare services utilization, we aim to examine that whether an income shock, in the form of China's New Rural Pension Scheme (NRPS), will affect outpatient, inpatient and discretionary over-the-counter drug utilization by over 60-year-old rural NRPS residents. METHODS: Providing a monthly pension of around RMB88 (USD12.97), NRPS covered all rural residents over 60 years old. Fuzzy regression discontinuity design (FRDD) was employed to explore the NRPS causal effect on healthcare services utilization, measured by outpatient and inpatient visits and discretionary over-the-counter drug purchases. The nationwide China Health and Retirement Longitudinal Study (CHARLS) 2018 provided the data. RESULTS: Without significant changes in health status and medication needs, 60-plus-year-old NRPS recipients significantly increased the probability of discretionary OTC drug purchases by 33 percentage points. NRPS had no significant effect on the utilization of outpatient and inpatient utilization. The increase in the probability of discretionary OTC drug purchases from the NRPS income shock was concentrated in healthier and low-income rural residents. Robustness tests confirmed that FRDD was a robust estimation method and our results are robust. CONCLUSION: NRPS was an exogenous income shock that significantly increased the probability of discretionary over-the-counter drug purchases among over 60-year-old rural residents, but not the utilization of inpatient or outpatient healthcare services. Income remains an important constraint for rural residents to improve their health. We recommend policymakers consider including commonly used over-the-counter drugs in basic health insurance reimbursements for rural residents; provide health advice for rural residents to make discretionary over-the-counter drug purchases; and to mount an information campaign on over-the-counter drug purchasing in order to increase the health awareness of rural residents.

Socio-Demographic Factors Associated with Rural Residents' Dietary Diversity and Dietary Pattern: A Cross-Sectional Study in Pingnan, China.

There is limited evidence regarding the factors correlated with dietary diversity (DD) and dietary pattern (DP) in rural residents of China. This study aims to identify the DD and DP of rural residents and their association with socio-demographic factors. A cross-sectional survey was conducted in Pingnan, China. The Food Frequency Questionnaire (FFQ) was applied to evaluate dietary intake. Latent class analysis (LCA) was used to identify patterns of six food varieties, including vegetables-fruits, red meat, aquatic products, eggs, milk, and beans-nuts. Generalized linear models and multiple logistic regression models were used to determine factors associated with the DD and DP. Three DPs were detected by LCA, namely "healthy" DP (47.94%), "traditional" DP (33.94%), and "meat/animal protein" DP (18.11%). Females exhibited lower DD (ß = -0.23, p = 0.003) and were more likely to adhere to "traditional" DP (OR = 1.46, p = 0.039) and "meat/animal protein" DP (OR = 2.02, p < 0.001). Higher educational levels and annual household income (AHI) were positively associated with higher DD (p < 0.05) and less likely to have "traditional" DP and "meat/animal protein" DP (p < 0.05). Non-obese people exhibited higher DD (ß = 0.15, p = 0.020) and were less likely to have "meat/animal protein" DP (OR = 0.59, p = 0.001). Our study reveals that females, those with lower educational levels and AHI, and obese people are more likely to have a lower DD and are more likely to adhere to "traditional" DP and "meat/animal protein" DP. The local, regional, and even national performance of specific diet-related health promotion measures and interventions must target these vulnerable populations to improve a healthier DD and DP.