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Objective: This paper utilizes data from the China Family Panel Studies (CFPS) to evaluate the impact of the "4 + 7" National Centralized Drug Procurement (NCDP) on Per Capita Household Health Care Expenditure (PCHHCE). Methods: The study applies the Differences-in-Differences (DID) methodology to analyze the effects of NCDP. Various robustness tests were conducted, including the Permutation test, Propensity Score Matching, alterations in regression methodologies, and consideration of individual fixed effects. Results: Research indicates that the implementation of NCDP led to a reduction of 10.6% in PCHHCE. The results remained consistent across all robustness tests. Additionally, the research identifies diversity in NCDP effects among various household characteristics, with a more significant impact on households residing in rural regions of China, enrolled in Basic Medical Insurance for urban and rural residents and urban workers, and having an income bracket of 25-75%. Conclusion: These findings carry policy implications for the future expansion and advancement of NCDP in China. The study highlights the effectiveness of NCDP in reducing healthcare expenditures and suggests potential areas for policy improvement and further research.

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The attention on microbiome research and its translation to application deployment is escalating along with diffused hype. There is real excitement in this new science, leveraging the growing potential of advances in molecular biology and sequencing techniques. Yet, despite the substantial efforts provided by the scientific communities, the true significance of research achievements requires coordinated and constructive actions across interdisciplinary fields. Individual researchers, universities, small and large companies, venture capitalists, and governments play a fundamental role in fostering collaboration and promoting knowledge that will benefit each other and sustain global prosperity. Making meaningful connections across different fields and getting a new perspective on how technological developments interrelate are the main drivers for creativity and progress. To help the broader innovation community focus on potentially new cross-sectorial developments, the One Health-microbiome-centric approach, defined here as "Microbiome One Health " , is considered as the efficient, holistic approach to product and service exploitations meant to preserve human well-being within a healthy ecosystem. The model opposes the biomedical system and generalizes the "One World-One Health ™" concept. The focus will be given to Nutrition as a driver of health and the food system for its commercial exploitation microbiome-centric, specifically at the interface of human/animal/agricultural. Remarkably, at the interface of humans/animals, the interaction with pets, specifically dogs, has been recognized as a driving force of novel microbiome exploitation.

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A breakthrough in the performance of bionic optical structures will only be achieved if we can obtain an in-depth understanding of the synergy mechanisms operating in natural optical structures and find ways to imitate them. In this work, inspired by feline eyes, an optical substrate that takes advantage of a synergistic effect that occurs between resonant and reflective structures was designed. The synergistic effect between the reflective and resonant components leads to a Raman enhancement factor (EF) of 1.16 × 107, which is much greater than that achieved using the reflective/resonant cavities on their own. Finite-difference time-domain (FDTD) simulations and experimental results together confirm that the mechanism of this synergistic effect is achieved by realizing multiple reflections and repeated absorptions of light, generating a strong local electric field. Thus, a 2-3 order of magnitude increase in sensitivity could be achieved. More importantly, with the homemade centrifugal device, above optical substrates were further used to develop a rapidly highly sensitive household health monitoring system (detection time <3 min). It can thus be used to give early warning of acute diseases with high risk (e.g., acute myocardial infarction (AMI) and cerebral peduncle). Due to the good reusability and storability (9% and 8% reduction in EF after washing 30 times and 9 months of storage, respectively) of the substrates, the substrates thus reduce detection costs (to ∼$1), making them much cheaper to use than the current gold-standard methods (e.g., ∼$16 for gout detection).

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This study builds a policy choice model wherein household health status responds to the lockdown during the COVID-19 pandemic. Considering an exogenous policy-decision date, the model implies that the government should maintain the current policy if the perceived effects on infection are below a certain threshold. Specifically, the threshold is determined by policy uncertainty and household concerns regarding health service provision, which further controls the announcement effects of the lockdown. Higher policy uncertainty and concerns regarding health services will diminish the positive impact of the lockdown on household health status.

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Based on the 2019 China Household Finance Survey (CHFS) data, this paper used factor analysis to measure the level of financial literacy of surveyed householders and used the Probit model and the negative binomial model to test the impact of financial literacy (FL) on household health investment (HHI). The results show that: (1) FL is an essential influencing factor in increasing participation in HHI, and householders with a higher level of FL are also more willing to pay for diversified investments. (2) We split the FL level from the two dimensions of knowledge and ability. We found that the primary FL (including financial knowledge, computing ability, and correct recognition of investment product risk) plays a more critical role in the investment decision process. (3) When information sources, health knowledge, and family income are used as mediating variables, FL can influence the decisions of HHI in three ways: expanding information sources, enriching health knowledge, and alleviating income constraints. (4) By analyzing the heterogeneity of household heads in different regions and with different personal characteristics, we found that the medical level of the household location and the life and work experience of the householders played a moderating role.

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Türkiye introduced a family medicine-centered primary healthcare model in 2005 as part of the Health Transformation Program, which aimed to reduce household healthcare expenditures, improve access to health services, and reduce the crowding-out effect in first-stage hospital institutions. We investigate the impact of the family medicine program on household healthcare expenditures in Türkiye, focusing on doctor visits, medication prescriptions, and hospitalization expenditures. Using data from a large representative household survey, we employ a difference-in-differences approach combined with the entropy-balancing matching technique. Our robust findings show that living in a province exposed to the family medicine program reduced household doctor visit expenditures by over 40 percent. We also find a significant negative association between the family medicine program and expenditures regarding doctor visits and medication prescriptions in the long run. Greater efforts are now needed to ensure the quality of services offered by family health centers, such as improving the doctor-to-patient ratio.

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OBJECTIVE: This study investigates the nexus between household health expenditure, CO2 emissions and environmental pollution in China. We analyzed the asymmetric dynamic relationship between CO2 emissions, environmental pollution and household health expenditure for the period 1990 to 2019 in China. METHODS: This study adopted nonlinear autoregressive distributed lag (NARDL) and Granger causality following the diagnostic test. Furthermore, we applied Dickey-Fuller (ADF), PP unit root tests, Zivot and Andrews test for structural breaks in our analysis. The NARDL is the most suitable econometric technique for estimations, especially if the asymmetric relationship exists among the variables. NARDL technique is capable to explore the dynamic relationship between CO2 emissions, environmental pollution and household health expenditure. RESULTS: The empirical results verify the asymmetric nexus between CO2 emissions, environmental pollution and household health expenditure in the context of China. The outcomes revealed that in the short run and long run positive shocks of CO2 emissions and environmental pollution positively affecting health expenditure, while negative shocks reduce health spendings. The results also demonstrate bi-directional causality among household health spendings, CO2 emissions and environmental pollution. CONCLUSION: Our results support many previous studies, documenting that CO2 emissions positively contribute to the amount of household health expenditure, confirming the asymmetric relationship between CO2 emissions and household health expenditure. The results also confirm the statistically significant and asymmetrically positive relationship between environmental pollution and household health expenditure. This implies that Chinese residents have to bear more household health expenditure, in the case of more CO2 emissions and a greater amount of environmental pollution.

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The aim of this article is to investigate the relationship between the public and the private health expenditure (macroeconomic and microeconomic approach) over time and within the recession and austerity period in Greece, in order to find out whether the strict Memorandum health policies pass, influence, or go along with the health expenditure to the final consumer, i.e., the health services user. In this context, by using econometric tools, such as multiple regression and cointegration analysis on the raw microdata of Household Budget Surveys from 1987/88 up to 2018, as well as by using data of public expenditure of Organization for Economic Co-operation and Development-Health Statistics 2019 in the Stata version 13, the study compares the variation of household and public health expenditures before and after the financial crisis in Greece and also examines the correlation between the two variables. The analysis demonstrated that the Greek household health expenditure (HHE) was rapidly increasing during the period 1988-2008, and afterward, it started decreasing. Moreover, the total private and the total public health expenditures seem to have a bidirectional long-run relationship and significant cointegration. The same was observed regarding the public expenditure and household medical services expenditure, as well as pharmaceuticals. Furthermore, the results indicate that over the years of recession, the monthly HHE decreases, due to the confiscation of middle-class income, which led to consumerism restrictions. However, as households are now spending a bigger portion of their shrunken income for health (as health is an inelastic commodity), HHE, as a proportion of total private expenditure, has eventually risen.

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OBJECTIVE: Linking electronic health records (EHR) of pediatric and adult patients living in the same household has the potential to improve chronic care management efficiencies by facilitating the delivery of services to multiple household members at once. However, little is known about relationship between the chronic medical (CM) and behavioral health (CBH) of adults and children living in common households. METHODS: EHR data for children were linked to the EHR data of adults living at the same address during the same time in a retrospective cohort study from 2006 to 2014 to evaluate associations between adult and child CM and CBH conditions within a Boston safety-net primary care patient sample. RESULTS: Of the 13,845 included children, 61.6% lived with at least one adult with ≥ 1 CM or CBH condition. Compared to children living with an adult(s) without a chronic condition, children living with an adult with a CM or CBH condition had a respective 16.2% and 18.1% increased likelihood of having a chronic condition themselves, with multiple adult chronic conditions in adults increasing children's likelihood. CONCLUSIONS FOR PRACTICE: We found a positive association between the chronic diseases of adult and child household members. Given the clustering of child and adult chronic disease within households, using EHR data to support the care management needs of multiple members of households may be a promising approach to improving child and adult health in safety-net settings.

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Prior studies have fully explored the impacts of rural labor migration on land use forms. In contrast to prior studies, this study focuses on the health status of rural households and its quantitative impacts on cropland abandonment (CA). More specifically, under the guidance of the theoretical mechanism of "household health affects CA by labor supply", this study employs survey data from 8031 households collected in 27 Chinese provinces in 2014 to explore the quantitative impacts of household health on CA. The results are as follows. (1) The higher the level of household health is, the less CA there is. (2) Compared with males, the impact of female health status on CA is more obvious. Thus, the relationship between household health and CA matters, not only because it may help to theoretically enhance the understanding of the importance of health in peasant households, but also because it may help to practically provide references for effective policies of CA from the perspective of rural medical services.

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In late 2009, Greece faced an unprecedented sovereign debt crisis and shortly after signed a large-scale economic adjustment program (EAP) that brought about several changes and reforms to the Greek health care system. As a result, households experienced the "triple hit" of decreased availability and capacity of the public health system, increased user charges, and lower ability to pay for health care. This study examines how households behaved in the face of such an economic shock and the aforementioned "triple hit". It also focuses on how household payments for health care responded to income changes before and after the introduction of the EAP. By using data from the Greek Household Budget Surveys over 2008-2015, we employ a modified two-part model to identify the determinants of household health expenditure (HHE) and estimate the corresponding income elasticities before and after the introduction of the EAP. We find that the income elasticity of HHE is consistently below unity and exhibits a statistically significant increase after the introduction of the EAP. Thus, households appear to exhibit greater consumption responses to changes in their income during the post-EAP period. In addition, we report heterogeneity in income elasticity across household types and over the HHE distribution. Lastly, our analysis suggests that the magnitude of income elasticity is sensitive to the household welfare indicator used. In other words, we show that HHE responses to permanent income changes are greater than the ones arising from current income shocks. Our findings can inform policymakers about household health care behavior and provide useful evidence for health financing and the design of social safety nets.

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BACKGROUND: Foodborne diseases are significant reasons for in-patient and out-patient morbidity in Ghana. Of the foodborne illnesses reported in the country, cholera incidence and outbreaks have resulted in food-related mortality since the disease was first reported in the 1970s. Cholera is now endemic in the country. This study attempts to develop and pilot a tool to measure household health literacy among the urban poor in James Town, a cholera endemic neighborhood. METHODS: A survey questionnaire was developed based on four of the World Health Organization's (WHO) recommendations on issues for measurement of health literacy in low- and middle-income countries. The instrument was administered to 401 households in the community. We undertook reliability and validity analyses. T-test, Kruskal Wallis test, and Mann-Whitney test were used to examine the association between the health literacy scores of the scale and subscales and the demographic characteristics of households. RESULTS: The reliability analyses showed that the instrument was internally consistent (Cronbach alpha=0.762). All the subscales were reliable except the beliefs about health and healthcare subscale. Based on content and construct validity analyses, 13 items were used for further examination of health literacy. We found that majority of households know about the information, education, and communication materials and 52% of households indicated that these materials remind them about the dangers of cholera. About 39% of the households decide together as a unit on steps to avoid getting cholera during an outbreak. Overall health literacy scores and the subscales were significantly associated with sex, age, marital status, and educational level of household head. Specifically, females, being married, increasing age and higher household income had a significant association with higher health literacy scores. CONCLUSION: Household units in James Town impacts individual health literacy through: family discussions; access to information, education, and communication materials on cholera; and intentional efforts made to get information on cholera risk factors.

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Policy Points: Per-capita household health spending was higher in economically developed states and was associated with ability to pay, but catastrophic health spending (CHS) was equally high in both poorer and more developed states in India. Based on multilevel modeling, we found that the largest geographic variation in health spending and CHS was at the state and village levels, reflecting wide inequality in the accessibility to and cost of health care at these levels. Contextual factors at macro and micro political units are important to reduce health spending and CHS in India. CONTEXT: In India, health care is a local good, and households are the major source of financing it. Earlier studies have examined diverse determinants of health care spending, but no attempt has been made to understand the geographical variation in household and catastrophic health spending. We used multilevel modeling to assess the relative importance of villages, districts, and states to health spending in India. METHODS: We used data on the health expenditures of 101,576 households collected in the consumption expenditure schedule (68th round) carried out by the National Sample Survey in 2011-2012. We examined 4 dependent variables: per-capita health spending (PHS), per-capita institutional health spending (PIHS), per-capita noninstitutional health spending (PNHS), and catastrophic health spending (CHS). CHS was defined as household health spending exceeding 40% of its capacity to pay. We used multilevel linear regression and logistic models to decompose the variation in each outcome by state, region, district, village, and household levels. FINDINGS: The average PHS was 1,331 Indian rupees (INR), which varied by state-level economic development. About one-fourth of Indian households incurred CHS, which was equally high in both the economically developed and poorer states. After controlling for household level factors, 77.1% of the total variation in PHS was attributable to households, 10.1% to states, 9.5% to villages, 2.6% to districts, and 0.7% to regions. The pattern in variance partitioning was similar for PNHS. The largest interstate variation was found for CHS (15.9%), while the opposite was true for PIHS (3.2%). CONCLUSIONS: We observed substantial variations in household health spending at the state and village levels compared with India's districts and regions. The large variation in CHS attributable to states indicates interstate inequality in the accessibility to and cost of health care. Our findings suggest that contextual factors at the macro and micro political units are important to reduce India's household health spending and CHS.

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BACKGROUND: A comprehensive and context-specific approach to monitoring financial protection can provide valuable evidence on progress towards universal health coverage. OBJECTIVES: This article systematically reviews the literature on financial protection in Europe to identify trends across countries and over time. It also maps the availability of data for regular monitoring in 53 countries. METHODS: Two people independently searched for studies using a standard strategy. Results were extracted from 54 publications and studies analysed in terms of geographical focus, data sources, methods and depth of analysis. RESULTS: Financial protection varies across countries in Europe; substantial changes over time have mainly taken place in the east of the region. Although the data required for regular monitoring are widely available, the literature presents major gaps in geographical scope - most studies focus on middle-income countries; it is not up to date - the latest year of data analysed is 2011; and cross-national comparison is only possible for a handful of countries due to variation in data sources and methods. The literature is also limited in depth. Very few studies go beyond analysing how many people incur catastrophic or impoverishing out-of-pocket payments. Only a small minority analyse who is most likely to experience financial hardship and what drives lack of financial protection. CONCLUSIONS: The literature provides little actionable evidence on financial protection in Europe.

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BACKGROUND: In India, community based studies and media reports indicate a surge in the number of young women undergoing hysterectomy in the past few years. This has led to suspicion on the misuse of procedure, and intense debates on its potential ill health-effects on young women. However, there are no population-based studies that provide insights into hysterectomy prevalence and its determinants at the national level. DATA AND METHODS: This study used data from India's District Level Household Survey that involved a sample of 3, 16,361 married women in the age group of 15-49 years spread across 21 States and Union Territories of India. Bivariate and multivariate regression analysis was performed to estimate hysterectomy prevalence and identify its predictors. RESULTS: The study estimated hysterectomy prevalence of 17 per 1000 ever married women. The number of women undergoing hysterectomy ranged from 2 to 63/1000 across different states. A little more than one-third of women who had undergone hysterectomy were under the age of 40 years. The proportion of women below 40 years of age who had had hysterectomy was much higher in southern states of Andhra Pradesh (42%) and Telangana (47%). The likelihood of hysterectomy was higher among women belonging to households with health insurance (OR: 1.88, CI: 1.77-2.00) and women who were sterilized (OR 1.55; CI 1.45-1.67) than uninsured and unsterilized women, and lower among women with education level of matriculation and above (OR 0.47; CI 0.42-0.50) than those with no and/or low education. CONCLUSIONS: A sizable proportion of young women undergoing hysterectomy in India may have severe ill-health effects on their physical, reproductive and socio-psycho health. As women with low or no education are also more prone to hysterectomy, providing more information and education to them on the possible after-effects of hysterectomy and alternative options will enable them to make more informed choices.

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BACKGROUND: Monitoring the incidence and intensity of catastrophic health expenditure, as well as the impoverishing effects of out of pocket costs to access healthcare, is a key part of benchmarking Kenya's progress towards reducing the financial burden that households experience when accessing healthcare. METHODS: The study relies on data from the nationally-representative Kenya Household Expenditure and Utilization Survey conducted in 2013 (n =33,675). We undertook health equity analysis to estimate the incidence and intensity of catastrophic expenditure. Households were considered to have incurred catastrophic expenditures if their annual out of-pocket health expenditures exceeded 40% of their annual non-food expenditure. We assessed the impoverishing effects of out of pocket payments using the Kenya national poverty line. We distinguished between direct payments for healthcare such as payments for consultation, medicines, medical procedures, and total healthcare expenditure that includes direct healthcare payments and the cost of transportation to and from health facilities. We used logistic regression analysis to explore the factors associated with the incidence of catastrophic expenditures. RESULTS: When only direct payments to healthcare providers were considered, the incidence of catastrophic expenditures was 4.52%. When transport costs are included, the incidence of catastrophic expenditure increased to 6.58%. 453,470 Kenyans are pushed into poverty annually as a result of direct payments for healthcare. When the cost of transport is included, that number increases by more than one third to 619,541. Unemployment of the household head, presence of an elderly person, a person with a chronic ailment, a large household size, lower household social-economic status, and residence in marginalized regions of the country are significantly associated with increased odds of incurring catastrophic expenditures. CONCLUSIONS: Kenyan policy makers should prioritize extending pre-payment mechanisms to more vulnerable groups, specifically the poor, the elderly, those suffering from chronic ailments and those living in marginalized regions of the country. The range of services covered under these mechanisms should also be extended such that the proportion of direct costs paid to access care is reduced. Policy makers should also prioritize reducing supply side bottlenecks such as availability of healthcare facilities in close proximity to the population, especially in rural and marginalized areas, and improvements in quality of care. For the poor and the vulnerable, initiatives to cover the cost of transport to and from a health facility, such as transport vouchers could also be explored.

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Household environmental health hazards or simply household health hazards (HHH) are pathogens and chemicals in the household that can cause health problems. In this study, we assess their effect on under-five mortality (U5MR) in 12 sub-Saharan African countries, using data from the Demographic and Health Surveys. Referring to the principal component analysis approach, we measure the HHH by the following indicators: source of water and its location, type of toilet facility, flooring material, type of wall, type of roof and type of cooking fuel. In an unadjusted multilevel discrete-time hazard model, we find that HHH affect positively child mortality in 9 of the 12 countries, whereas this effect presented itself only in 4 countries when controlling for other covariates. However, using a model with interaction between the child's age and HHH, we find it interesting that increasing levels of the HHH are consistently associated with increasing risk of death during 24-59 months after birth in eight countries. Future researches are needed to decipher the mechanisms behind these findings, whether explained by the accumulation of hazardous environment in early childhood, or frequent contact with noxious environments at a later stage of childhood, or both.

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BACKGROUND: This study aimed at identifying components of the household health costs. METHODS: This study was a qualitative research conducted in two main phases. The first phase consisted of interviews with sample households selected in eight provinces of Iran. They were to identify components of the household health costs. In the second phase, components were determined as direct, indirect and intangible based on a content analysis. RESULTS: In the first phase of the study, 93 components of households' health costs were identified. According to the content analysis, 44 components were categorized as direct costs, 10 components were indirect and 39 components were categorized as intangible. CONCLUSION: All components of households' health costs including: direct, indirect and intangible costs, should be considered in the planning and policy-making in the health system.

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To investigate different effects of fiscal health expenditure, household spending on health and social health expenditure on narrowing the gap between urban and rural health resource allocation. Methods: With the relevant data of China’ s medical and health through 1985-2011 years, taking methodology of the state space model to estimate the varying-time elasticity of different types of expenditures on urban and rural health resource allocation gap. Results: For narrowing the gap, household health expenditure played the leading role, fiscal health expenditure played smaller role and the social health expenditure played the supplementary role; the elastic of different health expenditure proportion was fluctuated before 2002, which became stable after 2002; it is easy to improve the “hard conditions” rather than the “soft conditions” . Conclusion: To accelerate the process of urban and rural medical security system integration, it is inevitable to establish an efficient configuration mechanism for urban and rural health expense, balanced develop urban and rural medical insurance system and scientifically guide social health investment.