A survey conducted in 2023 showed that almost **** of the predominantly young respondents experienced emotional issues such as anxiety and depression in the past year. Unsatisfactory skin conditions, undesirable body shapes, and poor sleep quality were also prominent health issues. ************ respondents also reported fears of cancer, while heart problems or gout were less common.

According to a survey conducted in China in 2023, emotional problems remained to be the major health concern of Chinese citizens, with around 43 percent of respondents stating they had experienced it in the past one year. Besides that, skin-related issues and sleep problem also troubled more than 40 percent of respondents.

According to a survey on health and sports habits conducted in December 2020, about 61 percent of the Chinese respondents were concerned of their mental health after the outbreak of the coronavirus (COVID-19) pandemic, which was about 12 percent point higher than the pre-pandemic survey results. Sleep, diet, body shape and weight were other major health issues concerned among the respondents.

Background: The COVID-19 outbreak in China has created multiple stressors that threaten individuals' mental health, especially among public health workers (PHW) who are devoted to COVID-19 control and prevention work. This study aimed to investigate the prevalence of mental help-seeking and associated factors among PHW using Andersen's Behavioral Model of Health Services Use (BMHSU).Methods: A cross-sectional survey was conducted among 9,475 PHW in five provinces across China between February 18 and March 1, 2020. The subsample data of those who reported probable mental health problems were analyzed for this report (n = 3,417). Logistic and hierarchical regression analyses were conducted to examine the associations of predisposing, enabling, need, and COVID-19 contextual factors with mental health help-seeking.Results: Only 12.7% of PHW reported professional mental help-seeking during the COVID-19 outbreak. PHW who were older, had more days of overnight work, received psychological training, perceived a higher level of support from the society, had depression and anxiety were more likely to report mental help-seeking (ORm range: 1.02–1.73, all p < 0.05) while those worked in Centers for Disease Control and Prevention were less likely to seek help (ORm = 0.57, p < 0.01). The belief that mental health issues were not the priority (64.4%), lack of time (56.4%), and shortage of psychologists (32.7%) were the most frequently endorsed reasons for not seeking help.Conclusions: The application of BMHSU confirmed associations between some factors and PHW's mental health help-seeking. Effective interventions are warranted to promote mental health help-seeking of PHW to ameliorate the negative impact of mental illness and facilitate personal recovery and routine work.

cancer patients in China, designed for medical research, survival prediction modeling, and healthcare disparity analysis. The data includes tumor characteristics, treatment types, survival status, and lifestyle factors such as smoking and alcohol use. It reflects realistic cancer epidemiology, with higher frequencies of lung, stomach, and liver cancers, and considers regional disparities in treatment and outcomes. Key features include:

Geographic spread across major Chinese provinces with proportional representation.

Cancer types, stages, and tumor sizes aligned with epidemiological trends in China.

Treatment methods (e.g., surgery, chemotherapy, immunotherapy) and session counts.

Comorbidities, genetic mutation data (with intentional 5–10% missing values).

Survival outcome and follow-up durations up to 60 months.

This dataset is suitable for use in machine learning models, public health studies, predictive analytics, and academic research—especially in the context of cancer outcome prediction, treatment effectiveness evaluation, and equity in access to advanced care.

Forecast: Number of Cases in Observation in Health Institutions in China 2024 - 2028 Discover more data with ReportLinker!

According to a survey in April 2023, 71 percent of respondents from mainland China used oral care products to prevent oral issues. The second and third most common actions against potential oral health issues were maintaining a good oral care routine and adjusting dietary habits, with 64 percent and 46 percent of respondents, respectively, choosing that option.

Background: In response to the potentially concurrent mental health crisis due to the COVID-19 outbreak, there have been ongoing mental health policies put in place in China. This review aims to systematically synthesize the implemented national-level mental health policies released by the Chinese government during the COVID-19 outbreak, and summarize the implementation of those mental health policies.Methods: Six databases and two websites were systematically searched, including published studies and gray literature published between December 1, 2019 and October 29, 2020.Results: A total of 40 studies were included. Among them, 19 were national-level policies on mental health released by the Chinese government, and 21 studies reported data on the implementation of those mental health policies. Mental health policies were issued for COVID-19 patients, suspected cases, medical staff, the general population, patients with mental illness, and mental institutions. In the early stage of the COVID-19 epidemic, attention was paid to psychological crisis intervention. In the later stage of the epidemic, the government focused mainly on psychological rehabilitation. During the COVID-19 outbreak, more than 500 psychiatrists from all over China were sent to Wuhan, about 625 hotlines were notified in 31 provinces, several online psychological consultation platforms were established, social software such as TikTok, Weibo, and WeChat were used for psychological education, and many books on mental health were published. Responding quickly, maximizing the use of resources, and emphasizing the importance of policy evaluation and implementation quality were characteristics of the mental health policies developed during the COVID-19 outbreak. Challenges facing China include a low rate of mental health service utilization, a lack of evaluation data on policy effects, and no existing national-level emergency response system and designated workforce to provide psychological crisis interventions during a national emergency or disaster.Conclusions: This review suggests that China has responded quickly and comprehensively to a possible mental health crisis during the COVID-19 outbreak, appropriate mental health policies were released for different members of the population. As the epidemic situation continues to change, the focus of mental health policies has been adjusted accordingly. However, we should note that there has been a lack of separate policies for specific mental health issues during the COVID-19 outbreak.

Abstract

Different countries have different health outcomes that are in part due to the way respective health systems perform. Regardless of the type of health system, individuals will have health and non-health expectations in terms of how the institution responds to their needs. In many countries, however, health systems do not perform effectively and this is in part due to lack of information on health system performance, and on the different service providers.

The aim of the WHO World Health Survey is to provide empirical data to the national health information systems so that there is a better monitoring of health of the people, responsiveness of health systems and measurement of health-related parameters.

The overall aims of the survey is to examine the way populations report their health, understand how people value health states, measure the performance of health systems in relation to responsiveness and gather information on modes and extents of payment for health encounters through a nationally representative population based community survey. In addition, it addresses various areas such as health care expenditures, adult mortality, birth history, various risk factors, assessment of main chronic health conditions and the coverage of health interventions, in specific additional modules.

The objectives of the survey programme are to: 1. develop a means of providing valid, reliable and comparable information, at low cost, to supplement the information provided by routine health information systems. 2. build the evidence base necessary for policy-makers to monitor if health systems are achieving the desired goals, and to assess if additional investment in health is achieving the desired outcomes. 3. provide policy-makers with the evidence they need to adjust their policies, strategies and programmes as necessary.

Geographic coverage

The survey sampling frame must cover 100% of the country's eligible population, meaning that the entire national territory must be included. This does not mean that every province or territory need be represented in the survey sample but, rather, that all must have a chance (known probability) of being included in the survey sample.

There may be exceptional circumstances that preclude 100% national coverage. Certain areas in certain countries may be impossible to include due to reasons such as accessibility or conflict. All such exceptions must be discussed with WHO sampling experts. If any region must be excluded, it must constitute a coherent area, such as a particular province or region. For example if ¾ of region D in country X is not accessible due to war, the entire region D will be excluded from analysis.

Analysis unit

Households and individuals

Universe

The WHS will include all male and female adults (18 years of age and older) who are not out of the country during the survey period. It should be noted that this includes the population who may be institutionalized for health reasons at the time of the survey: all persons who would have fit the definition of household member at the time of their institutionalisation are included in the eligible population.

If the randomly selected individual is institutionalized short-term (e.g. a 3-day stay at a hospital) the interviewer must return to the household when the individual will have come back to interview him/her. If the randomly selected individual is institutionalized long term (e.g. has been in a nursing home the last 8 years), the interviewer must travel to that institution to interview him/her.

The target population includes any adult, male or female age 18 or over living in private households. Populations in group quarters, on military reservations, or in other non-household living arrangements will not be eligible for the study. People who are in an institution due to a health condition (such as a hospital, hospice, nursing home, home for the aged, etc.) at the time of the visit to the household are interviewed either in the institution or upon their return to their household if this is within a period of two weeks from the first visit to the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

SAMPLING GUIDELINES FOR WHS

Surveys in the WHS program must employ a probability sampling design. This means that every single individual in the sampling frame has a known and non-zero chance of being selected into the survey sample. While a Single Stage Random Sample is ideal if feasible, it is recognized that most sites will carry out Multi-stage Cluster Sampling.

The WHS sampling frame should cover 100% of the eligible population in the surveyed country. This means that every eligible person in the country has a chance of being included in the survey sample. It also means that particular ethnic groups or geographical areas may not be excluded from the sampling frame.

The sample size of the WHS in each country is 5000 persons (exceptions considered on a by-country basis). An adequate number of persons must be drawn from the sampling frame to account for an estimated amount of non-response (refusal to participate, empty houses etc.). The highest estimate of potential non-response and empty households should be used to ensure that the desired sample size is reached at the end of the survey period. This is very important because if, at the end of data collection, the required sample size of 5000 has not been reached additional persons must be selected randomly into the survey sample from the sampling frame. This is both costly and technically complicated (if this situation is to occur, consult WHO sampling experts for assistance), and best avoided by proper planning before data collection begins.

All steps of sampling, including justification for stratification, cluster sizes, probabilities of selection, weights at each stage of selection, and the computer program used for randomization must be communicated to WHO

STRATIFICATION

Stratification is the process by which the population is divided into subgroups. Sampling will then be conducted separately in each subgroup. Strata or subgroups are chosen because evidence is available that they are related to the outcome (e.g. health, responsiveness, mortality, coverage etc.). The strata chosen will vary by country and reflect local conditions. Some examples of factors that can be stratified on are geography (e.g. North, Central, South), level of urbanization (e.g. urban, rural), socio-economic zones, provinces (especially if health administration is primarily under the jurisdiction of provincial authorities), or presence of health facility in area. Strata to be used must be identified by each country and the reasons for selection explicitly justified.

Stratification is strongly recommended at the first stage of sampling. Once the strata have been chosen and justified, all stages of selection will be conducted separately in each stratum. We recommend stratifying on 3-5 factors. It is optimum to have half as many strata (note the difference between stratifying variables, which may be such variables as gender, socio-economic status, province/region etc. and strata, which are the combination of variable categories, for example Male, High socio-economic status, Xingtao Province would be a stratum).

Strata should be as homogenous as possible within and as heterogeneous as possible between. This means that strata should be formulated in such a way that individuals belonging to a stratum should be as similar to each other with respect to key variables as possible and as different as possible from individuals belonging to a different stratum. This maximises the efficiency of stratification in reducing sampling variance.

MULTI-STAGE CLUSTER SELECTION

A cluster is a naturally occurring unit or grouping within the population (e.g. enumeration areas, cities, universities, provinces, hospitals etc.); it is a unit for which the administrative level has clear, nonoverlapping boundaries. Cluster sampling is useful because it avoids having to compile exhaustive lists of every single person in the population. Clusters should be as heterogeneous as possible within and as homogenous as possible between (note that this is the opposite criterion as that for strata). Clusters should be as small as possible (i.e. large administrative units such as Provinces or States are not good clusters) but not so small as to be homogenous.

In cluster sampling, a number of clusters are randomly selected from a list of clusters. Then, either all members of the chosen cluster or a random selection from among them are included in the sample. Multistage sampling is an extension of cluster sampling where a hierarchy of clusters are chosen going from larger to smaller.

In order to carry out multi-stage sampling, one needs to know only the population sizes of the sampling units. For the smallest sampling unit above the elementary unit however, a complete list of all elementary units (households) is needed; in order to be able to randomly select among all households in the TSU, a list of all those households is required. This information may be available from the most recent population census. If the last census was >3 years ago or the information furnished by it was of poor quality or unreliable, the survey staff will have the task of enumerating all households in the smallest randomly selected sampling unit. It is very important to budget for this step if it is necessary and ensure that all households are properly enumerated in order that a representative sample is obtained.

It is always best to have as many clusters in the PSU as possible. The reason for this is that the fewer the number of respondents in each PSU, the lower will be the clustering effect which

Limited health literacy is a serious public health problem. It is strongly associated with increased hospital admissions and readmission, poorer self-management, and health outcomes. It can lead to poor management of chronic disease, lower health care quality, increased mortality, and higher healthcare expenditures. Understanding China's current situation and the progress of health literacy levels are critical to achieving practical solutions for improving population health. This paper intended to provide a concise overview of the key milestones and specific practices in health literacy in China. We summarized the characteristics and changing profile of health literacy from 2008 to 2020 in China. We developed an intervention framework based on social ecosystem theory for improving health literacy in China. Meanwhile, some multi-level actionable recommendations were proposed. The study revealed that China has made progress in improving health literacy in the last decades. Health literacy levels increased from 6.48% of the population in 2008 to 23.15% in 2020. Geographic disparities were substantial. The East performed better health literacy than the Central and West, and cities had higher adequate health literacy than rural areas. Social development index, age, and education level were highly associated with health literacy. A global joint effort to improve health literacy will be required. And we advocate a whole-of-society approach that involves the participation of the entire ecosystem around the targeted population.

WHO: MERS-CoV: No of Cases: China data was reported at 1.000 Person in 23 Mar 2016. This stayed constant from the previous number of 1.000 Person for 22 Mar 2016. WHO: MERS-CoV: No of Cases: China data is updated daily, averaging 1.000 Person from Jun 2015 (Median) to 23 Mar 2016, with 286 observations. The data reached an all-time high of 1.000 Person in 23 Mar 2016 and a record low of 1.000 Person in 23 Mar 2016. WHO: MERS-CoV: No of Cases: China data remains active status in CEIC and is reported by World Health Organization. The data is categorized under High Frequency Database’s Disease Outbreaks – Table WHO.D001: World Health Organization: No. of Cases.

The Chinese Longitudinal Healthy Longevity Survey (CLHLS) provides information on health status and quality of life of the elderly aged 65 and older in 22 provinces of China in the period 2002 to 2005. The study was conducted to shed light on the determinants of healthy human longevity and advanced age mortality. To this end, data were collected on a large percentage of the oldest population, including centenarian and nonagenarian; the CLHLS provides information on the health, socioeconomic characteristics, family, lifestyle, and demographic profile of this aged population. Data are provided on respondents' health conditions, daily functioning, self-perceptions of health status and quality of life, life satisfaction, mental attitude, and feelings about aging.

Respondents were asked about their diet and nutrition, use of medical services, and drinking and smoking habits, including how long ago they quit either or both. They were also asked about their physical activities, reading habits, television viewing, and religious activities, and were tested for motor skills, memory, and visual functioning. In order to ascertain their current state of health, respondents were asked if they suffered from such health conditions as hypertension, diabetes, heart disease, stroke, cancer, emphysema, asthma, tuberculosis, cataracts, glaucoma, gastric or duodenal ulcer, arthritis, Parkinson's disease, bedsores, or other chronic diseases. Respondents were further queried about assistance with bathing, dressing, toileting, or feeding, and who provided help in times of illness. Other questions focused on siblings, parents, and children, the frequency of family visits, and the distance lived from each other. Demographic and background variables include age, sex, ethnicity, place of birth, marital history and status, history of childbirth, living arrangements, education, main occupation before age 60, and sources of financial support.

Huge citizens expose to social media during a novel coronavirus disease (COVID-19) outbroke in Wuhan, China. We assess the prevalence of mental health problems and examine their association with social media exposure. A cross-sectional study among Chinese citizens aged≥18 years old was conducted during Jan 31 to Feb 2, 2020. Online survey was used to do rapid assessment. Total of 4872 participants from 31 provinces and autonomous regions were involved in the current study. Besides demographics and social media exposure (SME), depression was assessed by The Chinese version of WHO-Five Well-Being Index (WHO-5) and anxiety was assessed by Chinese version of generalized anxiety disorder scale (GAD-7). multivariable logistic regressions were used to identify associations between social media exposure with mental health problems after controlling for covariates. The prevalence of depression, anxiety and combination of depression and anxiety (CDA) was 48.3% (95%CI: 46.9%-49.7%), 22.6% (95%CI: 21.4%-23.8%) and 19.4% (95%CI: 18.3%-20.6%) during COVID-19 outbroke in Wuhan, China. More than 80% (95%CI:80.9%-83.1%) of participants reported frequently exposed to social media. After controlling for covariates, frequently SME was positively associated with high odds of anxiety (OR = 1.72, 95%CI: 1.31–2.26) and CDA (OR = 1.91, 95%CI: 1.52–2.41) compared with less SME. Our findings show there are high prevalence of mental health problems, which positively associated with frequently SME during the COVID-19 outbreak. These findings implicated the government need pay more attention to mental health problems, especially depression and anxiety among general population and combating with “infodemic” while combating during public health emergency.

BackgroundThe prevention and control of public infectious diseases is a significant issue in the global health sector. Controlling infectious diseases is crucial for maintaining public health. As the most populous country in the world, China still faces a series of new challenges in the control of public infectious diseases. Therefore, it is of great significance to conduct an in-depth analysis of the trends in the control of public infectious diseases.MethodologyThis study selects the death rate, incidence rate, proportion of prevention and control funds input, and the proportion of professional technical personnel in China from 2018 to 2023 as research samples and conducts statistical analysis through multiple linear regression. Overall, factors such as the incidence rate, proportion of prevention and control funds input, and proportion of professional technical personnel can explain 98.7% of the trend changes in the infectious disease death rate.ResultsThrough multiple regression analysis, the regression coefficient value of 0.001 for the incidence rate indicates a significant positive impact on the mortality rate, meaning that an increase in the incidence of infectious diseases leads to a rise in mortality. The regression coefficient value of −0.012 for the proportion of funding input suggests a significant negative impact on the mortality rate, implying that increased investment in prevention and control funds will correspondingly reduce the mortality rate of infectious diseases. On the other hand, merely increasing the number of professional and technical personnel is not sufficient to control the spread of infectious diseases; comprehensive use of various prevention and control measures is required for effective public infectious disease control.ConclusionPublic infectious disease prevention and control is a complex process that requires the consideration of multiple factors, rather than merely changing a single factor, particularly in controlling incidence rates and reasonably allocating funds. By refining the analysis of infectious disease control strategies and integrating diverse preventive and intervention measures, it is possible to better control the spread and mortality of infectious diseases, thereby protecting public health and safety.

BackgroundCardiovascular disease (CVD) causes substantial financial burden to patients with the condition, their households, and the healthcare system in China. Health care costs for treating patients with CVD vary significantly, but little is known about the factors associated with the cost variation. This study aims to identify and rank key determinants of health care costs in patients with CVD in China and to assess their effects on health care costs.MethodsData were from a survey of patients with CVD from 14 large tertiary grade-A general hospitals in S City, China, between 2018 and 2020. The survey included information on demographic characteristics, health conditions and comorbidities, medical service utilization, and health care costs. We used re-centered influence function regression to examine health care cost concentration, decomposing and estimating the effects of relevant factors on the distribution of costs. We also applied quantile regression forests—a machine learning approach—to identify the key factors for predicting the 10th (low), 50th (median), and 90th (high) quantiles of health care costs associated with CVD treatment.ResultsOur sample included 28,213 patients with CVD. The 10th, 50th and 90th quantiles of health care cost for patients with CVD were 6,103 CNY, 18,105 CNY, and 98,637 CNY, respectively. Patients with high health care costs were more likely to be older, male, and have a longer length of hospital stay, more comorbidities, more complex medical procedures, and emergency admissions. Higher health care costs were also associated with specific CVD types such as cardiomyopathy, heart failure, and stroke.ConclusionMachine learning methods are useful tools to identify determinants of health care costs for patients with CVD in China. Findings may help improve policymaking to alleviate the financial burden of CVD, particularly among patients with high health care costs.

The size of the China Animal Health Industry market was valued at USD 1.04 Million in 2023 and is projected to reach USD 1.43 Million by 2032, with an expected CAGR of 4.69% during the forecast period. An expanding Chinese animal health industry is growing on the back of increasing demand for animal protein, awareness of animal health, and food safety as well as quality. These are matched by an increase in veterinary product consumption and services-vaccines, pharmaceuticals, and diagnostics-growth in the country's expansion of livestock and aquaculture. Major growth drivers in the market include increased cases of animal diseases, as well as growing policies in animal health and welfare. The Chinese government is heavily investing in animal health infrastructure that encourages the application of modern veterinary practices and technology to improve the prevention and control of diseases, including strengthening biosecurity measures in livestock and aquaculture production. In recent years, the pet population has increased in cities around the world. The more the number of pets, the higher the demand for companion animal health products, this includes preventive care, diagnostics, and nutritional supplements. Again, premium animal health products will be a result of richer disposable incomes for Chinese consumers, as they become perceived as better. Geographically, major cities such as Beijing and Shanghai happen to be the main markets because of high population densities and relatively good veterinary care infrastructure. But regional geographies are gaining importance in recent times since there is growing awareness of animal health in the regions. The China animal health industry is poised to continue its expansion pattern since it was crucial for the country in securing food supplies and further improving the health and welfare of the animals. Recent developments include: March 2023: i-Tail Corporation PCL reported an exclusivity contract with Nanjing Jiabei PetCare Products Co., Ltd, an importer and distributor of pet care products. The partnership is key in supporting the growth of ITC's business in China., July 2022: JD Health acquired a pet care business pertaining to the purchase of pet health product categories, including prescription drugs/ prescription diet, pet nutrition, pet deworming, pet milk powder, pet mouth, ear and eye cleaning, and more.. Key drivers for this market are: Increase in Pet Adoption in China, Increasing Initiatives by the Governments and Animal Welfare Associations; Advanced Technology in Animal Healthcare. Potential restraints include: Use of Counterfeit Medicines, Increasing Costs of Animal Testing and Veterinary Care. Notable trends are: Vaccines Contributed the significant Market Share Share in Terms of Revenues in the Therapeutics Segment.

Different countries have different health outcomes that are in part due to the way respective health systems perform. Regardless of the type of health system, individuals will have health and non-health expectations in terms of how the institution responds to their needs. In many countries, however, health systems do not perform effectively and this is in part due to lack of information on health system performance, and on the different service providers. The aim of the WHO World Health Survey is to provide empirical data to the national health information systems so that there is a better monitoring of health of the people, responsiveness of health systems and measurement of health-related parameters. The overall aims of the survey is to examine the way populations report their health, understand how people value health states, measure the performance of health systems in relation to responsiveness and gather information on modes and extents of payment for health encounters through a nationally representative population based community survey. In addition, it addresses various areas such as health care expenditures, adult mortality, birth history, various risk factors, assessment of main chronic health conditions and the coverage of health interventions, in specific additional modules. The objectives of the survey programme are to: 1. develop a means of providing valid, reliable and comparable information, at low cost, to supplement the information provided by routine health information systems. 2. build the evidence base necessary for policy-makers to monitor if health systems are achieving the desired goals, and to assess if additional investment in health is achieving the desired outcomes. 3. provide policy-makers with the evidence they need to adjust their policies, strategies and programmes as necessary.

A survey conducted in April 2023 concluded that more than nine in ten Chinese consumers had oral or dental issues when they made a self-assessment. Among all common conditions, tooth discoloration, bad breath, and gum diseases such as periodontitis were the most prevalent. Roughly one in three Chinese consumers also reported that they were suffering from tooth decay or caries.

On March 10, 2023, the Johns Hopkins Coronavirus Resource Center ceased collecting and reporting of global COVID-19 data. For updated cases, deaths, and vaccine data please visit the following sources:Global: World Health Organization (WHO)U.S.: U.S. Centers for Disease Control and Prevention (CDC)For more information, visit the Johns Hopkins Coronavirus Resource Center.This feature layer contains the most up-to-date COVID-19 cases and latest trend plot. It covers China, Canada, Australia (at province/state level), and the rest of the world (at country level, represented by either the country centroids or their capitals)and the US at county-level. Data sources: WHO, CDC, ECDC, NHC, DXY, 1point3acres, Worldometers.info, BNO, state and national government health departments, and local media reports. . The China data is automatically updating at least once per hour, and non-China data is updating hourly. This layer is created and maintained by the Center for Systems Science and Engineering (CSSE) at the Johns Hopkins University. This feature layer is supported by Esri Living Atlas team and JHU Data Services. This layer is opened to the public and free to share. Contact us.

China Proportion of Population Pushed Below the 60% Median Consumption Poverty Line By Out-of-Pocket Health Expenditure: % data was reported at 4.680 % in 2018. This records an increase from the previous number of 3.560 % for 2013. China Proportion of Population Pushed Below the 60% Median Consumption Poverty Line By Out-of-Pocket Health Expenditure: % data is updated yearly, averaging 3.560 % from Dec 1995 (Median) to 2018, with 5 observations. The data reached an all-time high of 4.680 % in 2018 and a record low of 1.110 % in 1995. China Proportion of Population Pushed Below the 60% Median Consumption Poverty Line By Out-of-Pocket Health Expenditure: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s China – Table CN.World Bank.WDI: Social: Poverty and Inequality. This indicator shows the fraction of a country’s population experiencing out-of-pocket health impoverishing expenditures, defined as expenditures without which the household they live in would have been above the 60% median consumption but because of the expenditures is below the poverty line. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).;Global Health Observatory. Geneva: World Health Organization; 2023. (https://www.who.int/data/gho/data/themes/topics/financial-protection);Weighted average;This indicator is related to Sustainable Development Goal 3.8.2 [https://unstats.un.org/sdgs/metadata/].