Older adults preferences for long-term caregivers in China: a discrete choice experiment.

OBJECTIVE: Understanding the preferences of old-age adults for their long-term caregivers can improve person-centred health care and the quality of long-term care (LTC). This study examines Chinese older adults' preferences for long-term caregivers. STUDY DESIGN: This is a cross-sectional study. METHODS: A national representative discrete choice experiment (DCE) surveyed 2031 adults aged 50-70 across 12 provinces in China. Each DCE scenario described five attributes: type of caregivers, place of LTC, contents of LTC, out-of-pocket payments, and quality of life (QoL). Preferences and the marginal willingness to pay (WTP) were derived using mixed-logit and latent class models. RESULTS: Older adults displayed higher preferences for long-term caregivers who improve their QoL, incur lower out-of-pocket payments, and provide medical LTC services at home, with the maximum WTP of $22.832 per month. QoL was rated as the most important LTC factor, followed by the place of LTC and the type of caregivers. When the level of QoL improved from poor to good, respondents would be willing to pay $18.375 per month more (95% confidence interval: 16.858 to 20.137), and the uptake rate increased by 76.47%. There was preference heterogeneity among older people with different sex, education, family size, and knowledge of LTC insurance. CONCLUSION: QoL was the most important factor in older Chinese adults' preference for caregivers. Home care and medical care from formal caregivers was preferred by older adults. We recommend training family caregivers, raising older people's awareness of LTC insurance, and guiding policymakers in developing people-oriented LTC and a multi-level LTC system.

Ecology of End-of-life Medical Care for Advanced Cancer Patients in China.

AIMS: Cancer is a leading cause of death worldwide. Approximately 30% of global cancer-related deaths occur in mainland China. However, there is a paucity of information regarding the end-of-life care-seeking behavior of patients with advanced cancer in China. Our study was to investigate end-of-life care-seeking behavior and to quantify the association between sociodemographic characteristics and the location and pattern of end-of-life care. METHODS: We conducted a mortality follow-back survey using caregivers' interviews to estimate the number of individuals pre 1000 who died between 2013 and 2021 in the last 3 months of life. We collected data on hospitalization, outpatient visits, cardiopulmonary resuscitation, palliative care and hospice utilization, and place of death, stratified by age, gender, marital status, household income, residential zone, insurance type, and the primary end-of-life decision-maker of the decedents. RESULTS: We analyzed data from 857 deceased cancer patients, representing an average of 1000 individuals. Among these patients, 861 experienced at least moderate or more severe pain, 774 were hospitalized at least once, 468 received intensive treatment, 389 had at least one outpatient visit, 270 died in the hospital, 236 received cardiopulmonary resuscitation and 99 received specialist hospice care. CONCLUSIONS: Our study provides insights into the end-of-life care-seeking behavior of advanced cancer patients in China and our findings serve as a useful benchmark for estimating the use of end-of-life medical care. It highlights the need for the establishment of an accessible and patient-centered palliative care and hospice system.

Structuring healthcare advance directives: Evidence from Chinese end-of-life cancer patients' treatment preferences.

BACKGROUND: Patients' treatment decisions may be influenced by the ways in which treatment options are presented. There is little evidence on how patients with advanced cancer choose preferences for advance directives (ADs) in China. Informed by behavioural economics, we assess whether end-of-life (EOL) cancer patients held deep-seated preferences for their health care and whether default options and order effects influenced their decision-making. METHODS: We collected data on 179 advanced cancer patients who were randomly assigned to complete one of the four types of ADs: comfort-oriented care (CC) AD (comfort default AD); a life extension (LE)-oriented care option (LE default AD); CC (standard CC AD) and LE-oriented (standard LE AD). Analysis of variance test was used. RESULTS: In terms of the general goal of care, 32.6% of patients in the comfort default AD group retained the comfort-oriented choice, twice as many as in the standard CC group without default options. Order effect was significant in only two individual-specific palliative care choices. Most patients (65.9%) appointed their children to make EOL care decisions, but patients choosing the CC goal were twice as likely to ask their family members to adhere to their choices than patients who chose the LE goal. CONCLUSION: Patients with advanced cancer did not hold deep-seated preferences for EOL care. Default options shaped decisions between CC and LE-oriented care. Order effect only shaped decisions in some specific treatment targets. The structure of ADs matters and influence different treatment outcomes, including the role of palliative care. PATIENT OR PUBLIC CONTRIBUTION: Between August and November 2018, from 640 cancer hospital medical records fitting the selection criteria at a 3A level hospital in Shandong Province, we randomly selected 188 terminal EOL advanced cancer patients using a random generator programme to ensure all eligible patients had an equal chance of selection. Each respondent completes one of the four AD surveys. While respondents might require support in making their healthcare choices, they were informed about the purpose of our research study, and that their survey choices would not affect their actual treatment plan. Patients who did not agree to participate were not surveyed.

Association Between Primary Decision-Maker and Care Intensity Among Patients With Advanced Cancer in Mainland China.

Purpose: In China, decisions regarding the treatment of seriously ill patients are usually made by family caregivers. This study aimed to explore the association between the primary decision-makers and the intensity of care given to patients with advanced cancer in China. Methods: We conducted a survey of family members and other caregivers representing 828 cancer patients who died between July 2013 and July 2016. The survey asked: "After the physician conveyed that the disease is incurable, what treatment did the patient and caregiver prefer?" and "Who was the primary decision-maker?" We compared the treatment intensity with locus of decision-making using multivariable logistic regression, adjusting for socio-demographic and clinical covariates informed. Results: Of the 792 patients in our sample, the majority were male (67·2%), 60 years or older (64·0%), married (82·2%), lived with family (98·2%), had medical insurance (94·8%), earned below-average income (53·5%), lived rurally (61·5%), had a gastrointestinal cancer diagnosis (50·8%), experienced moderate or severe pain (86·3%), never received palliative care (80·4%) and had caregivers as primary decision-makers (70·6%). We found that patients were more likely to receive intensive disease-modifying treatments when the primary decision-maker were their children (adjusted odds ratio [AOR] = 1·86, 95% CI:1·26-2·74), spouse (AOR = 2·04, 95% CI:1·26-3·30), or other caregivers (AOR = 3·46, 95% CI:1·24-9·69). Conclusions: When patients with advanced cancer in China did not make their own medical decisions, they were more likely to receive intensive disease-modifying treatments at the end-of-life. Actions should be taken to better understand and ensure that caregivers' decisions reflect the values and presence of patients.

Student COVID-19 vaccination preferences in China: A discrete choice experiment.

Objective: This study uses a discrete choice experiment (DCE) questionnaire to investigate student vaccination preferences for both intrinsic and extrinsic attributes. Methods: A two-part DCE questionnaire was distributed to 1,138 students through face-to-face interviews at vaccination centers in Qingdao, China. Conditional logit models were used to understand student preference trade-offs. Mixed logit models (MLM) and sub-group analysis were conducted to understanding student preference heterogeneity. Results: We found that students preferred vaccines with fewer side effects (ß = 0.845; 95% CI, 0.779-0.911), administered through third level health facilities (ß = 0.170; 95% CI, 0.110-0.230), and had at least 1 year duration of protection (ß = 0.396; 95% CI, 0.332-0.461. Higher perception of COVID-19 risks (ß = 0.492; 95% CI, 0.432-0.552) increased the likelihood of student vaccination uptake. Surprisingly, vaccine effectiveness (60%) and percentages of acquaintances vaccinated (60%) reduced vaccination utility, which points to free-rider problems. In addition, we find that student study majors did not contribute to preference heterogeneity, and the main disparities in preferences were attributed to student risk tolerances. Conclusion: Both intrinsic and extrinsic attributes were influential factors shaping student preferences for COVID-19 vaccines. Our results inform universities and local governments across China on targeting their vaccination programs.

Confucian Familism and Shared Decision Making in End-of-Life Care for Patients with Advanced Cancers.

Shared decision-making (SDM) has been institutionally recognized as clinically effective by many Western healthcare systems. Nevertheless, it appears culturally unattractive in China, a country that adheres to Confucian familism which strongly prefers collective family decisions. This study examined this conflict and assessed the influence of Confucian familism on SDM in end-of-life (EOL) care for advanced cancer patients. Between August and November 2018, 188 EOL advanced-cancer patients were randomly recruited from 640 cancer hospital medical records at a Tertiary A-level hospital in Shandong province. Eventually, 164 (87.23%) sample patients were included in the statistical analysis after the non-responsive cases (4.79%) and missing value (7.98%) were removed. SDM was measured through SDM-Q-9, and the patient's siblings were used as indicators of Confucian Familism. Of the 164 patients, the mean SDM score was 38/100; 47.6% were thoroughly unfamiliar with their treatment plans and fell outside the decision-making procedure. Each patient had four siblings on average. Ceteris paribus, more siblings led to lower SDM. Moreover, being 56-65 years old and open-minded were associated with higher SDM, while higher satisfaction of the quality of EOL care yielded lower SDM. In conclusion, Confucian familism weakened patient-clinician SDM in EOL care for advanced cancer patients.

The Economic Burden of Hospital Costs on Families With Type 1 Diabetes Mellitus Children: The Role of Medical Insurance in Shandong Province, China.

Objective: This study estimates the economic burden imposed on families by comparing the hospitalization costs of T1DM children with and without medical insurance in Shandong province. Methods: Our data comprised 1,348 T1DM inpatient records of patients aged 18 years or younger from the hospitalization information system of 297 general hospitals in 6 urban districts of Shandong Province. Descriptive statistics are presented and regression analyses were conducted to explore the factors associated with hospitalization costs. Results: Children with medical insurance had on average total hospitalization expenditures of RMB5,833.48 (US$824.02) and a hospitalization stay of 7.49 days, compared with the children without medical insurance who had lower hospitalization expenditures of RMB4,021.45 (US$568.06) and an average stay of 6.05 days. Out-of-pocket expenses for insured children were RMB3,036.22 (US$428.89), which is significantly lower than that of the uninsured children (P < 0.01). Out-of-pocket (OOP) expenditures accounted for 6% of the annual household income of insured middle-income families, but rose to a significant 25% of the annual income for low-income families. These OOP expenditures imposed a heavy economic burden on families, with some families experiencing long-term financial distress. Both insured and uninsured families, especially low-income families, could be tipped into poverty by hospitalization costs. Conclusion: Hospitalization costs imposed a significant economic burden on families with children with T1DM, especially low-income insured and uninsured families. The significantly higher hospitalization expenses of insured T1DM children, such as longer hospitalization stays, more expensive treatments and more drugs, may reflect both excess treatment demands by parents and over-servicing by hospitals; lower OOP expenses for uninsured children may reflect uninsured children from low-income families forgoing appropriate medical treatment. Hospital insurance reform is recommended.

Productivity Losses Due to Diabetes in Urban Rural China.

BACKGROUND: Productivity losses due to diabetes are increasing in China, but research about the impact of diabetes on productivity in urban and rural areas requires further in-depth study. This article provides the first estimate of the cost of productivity losses attributed to diabetes in individuals 20-69 years old in urban and rural areas of China. METHODS: The human capital approach is employed to measure the productivity losses attributed to absenteeism, presenteeism, labor force dropout, and premature deaths due to diabetes of the 20-69-year-old population of males and females in urban and rural areas of China. Based on the life table modelling, we calculate the years of potential life lost and working years of life lost of people with diabetes. RESULTS: In 2017, we estimated that there were 100.46 million people with diabetes, with the total cost of productivity losses being USD 613.60 billion, comprising USD 326.40 billion from labor force dropout, USD 186.34 billion from premature death, USD 97.71 billion from absenteeism, and USD 27.04 billion from presenteeism. Productivity loss was greater in urban (USD 490.79 billion) than rural areas (USD 122.81 billion), with urban presenteeism (USD 2.54 billion) greater than rural presenteeism (USD 608.55 million); urban absenteeism (USD 79.10 billion) greater than rural absenteeism (USD 18.61 billion); urban labor force dropout (USD 261.24 billion) greater than rural labor force dropout (USD 65.15 billion); and urban premature death (USD 147.90 billion) greater than rural premature death (USD 38.44 billion). CONCLUSIONS: Diabetes has a large and significant negative impact on productivity in urban and rural China. Productivity loss is significantly higher in urban versus rural regions. Further investment is required in the prevention, diagnosis, and control of diabetes in under-resourced health services in rural locations as well as in urban areas, where most diabetes cases reside. Specifically, targeted and effective diabetes prevention and management actions are urgently required.

Individual Preferences for COVID-19 Vaccination under the China's 2021 National Vaccination Policy: A Discrete Choice Experiment Study.

(1) Background: Since China's national vaccination policy announcement in January 2021, individual vaccination preferences related to vaccine characteristics, social relationships, sociodemographic characteristics and cognition remain opaque. This study aims to investigate vaccination preferences regarding these attributes, and to assess changes in individual vaccine preferences since the pre-2021 emergency vaccination phase. (2) Methods: The two-part questionnaire surveyed 849 individuals between May and June 2021 in Qingdao, China. The survey contained eight binary choice tasks that investigated preference trade-offs. Respondents' sociodemographic characteristics, including age, sex, urban/rural residence, income, education and whether living with the young or old, were also collected. Conditional logit, mixed logit and latent class models were used to quantify preference utility and identify preference heterogeneity. (3) Results: Vaccine effectiveness, vaccine side effects, duration of protection and probability of infection all significantly affected vaccination utility. Preference heterogeneity based on individual social relationships and sociodemographic characteristics were also established. Marginal analysis showed that compared to the pre-2021 phase, individuals' preferences had shifted towards vaccines with longer protection periods and better accessibility. (4) Conclusion: This study will inform the full rollout of China's 2021 national vaccination program and provide valuable information for future vaccination policy design to meet resurgent COVID-19 risks.

Preferences for End-of-Life Care Among Patients With Terminal Cancer in China.

Importance: In China, little is known about end-of-life (EOL) care preferences of patients with terminal cancer. Understanding these patients' treatment preferences is needed to improve patient-centered health care, better inform surrogates and medical staff about patient preferences, and enhance the quality of EOL care. Objective: To examine preferences for EOL care among patients with terminal cancer in China. Design, Setting, and Participants: In this survey study, patients older than 50 years who had terminal cancer were randomly selected from medical records at a single hospital in China. Data on patients' EOL care preferences were collected by discrete choice experiment (DCE) from August to November 2018 and were analyzed from October 2020 to March 2021. Main Outcomes and Measures: The main outcome was patient preferences in EOL care, derived using a mixed logit model. Each DCE scenario described 6 attributes: hospitalization days, life extension, quality of life, adverse treatment events, place-of-death preference, and out-of-pocket costs. The marginal willingness to pay (WTP) in US dollars was estimated from regression coefficients. Results: Of 188 patients selected for the survey, 183 participated (97.3%). Among the respondents, the mean [SD] age was 61 [8.4] years, and 128 (69.8%) were male. Patients' preferences for moderate increase in survival time, better quality of life, death at home, and lower out-of-pocket costs were significantly associated with their choices between treatment models. Extending life by 10 months (vs 4 months: ß, 1.63; 95% CI, 0.81-2.44) and a better quality of life (very good vs poor: ß, 1.79; 95% CI, 0.96-2.62) were the most important attributes to patients. The uptake rate for a treatment scenario increased by 61.6% when the quality of life improved from poor to very good, and when life extension increased from 4 months to 10, the uptake rate increased by 57.2%. The uptake increased by 12.5% when the place of death changed from hospital to home. However, it decreased by 31.4% when the costs increased to $21 174. The study found a WTP of $38 854 (95% CI, $19 468-$95 096) to improve quality of life from a poor to a very good level, substantially higher than the WTP for a life extension of 6 months ($35 308; 95% CI, $17 745-$80 279) or 1 year ($27 572; 95% CI, $16 389-$58 027) compared with the baseline scenario of a 4-month extension. Patients were willing to pay $8860 (95% CI, $621-$26 474) to die at home rather than in a hospital. Conclusions and Relevance: The findings suggest that in addition to extending life moderately for patients with terminal cancer, improving quality of life during EOL care and supporting home deaths may deserve greater attention. The findings also suggest that physicians and surrogates should ask about patients' care preferences and better inform them of their choices to improve EOL care outcomes.

The influencing factors of discrimination against recovered Coronavirus disease 2019 (COVID-19) patients in China: a national study.

BACKGROUND: Over 26 million recovered COVID-19 patients will suffer from discrimination in work, education and social interactions. We analyzed the determinants of discrimination against recovered COVID-19 patients and suggest policy recommendations to reduce such discrimination. METHODS: Twenty-seven Chinese cities were selected randomly based on their geographical location and GDP rank. One hundred adults were interviewed in each city with an equal number of men and women and three urban residents for every two rural residents. A multiple ordered logistic regression model was used to assess the associations between potential determinants and the COVID-19 discrimination level. RESULTS: Of 2377 participants, 79.76% displayed discrimination toward recovered COVID-19 patients. The female discrimination level was 1.25 times that of males; the discrimination level increased with age; and was occupation-specific, with physicians' (OR = 0.352) and students' (OR = 0.553) discrimination level lower than that of farmers. The discrimination level of participants from the central regions was 1.828 times, and the eastern region 1.504 times, that of participants from western region. The participants' discrimination level was lower when they scored higher in transmission knowledge, prevention knowledge and other COVID-19 knowledge, treatment methods and quarantine time. CONCLUSION: Sex, age, occupation, infections of relatives and friends, regions and scores on COVID-19 knowledge were determinants of discrimination level against recovered COVID-19 patients. In contrast with qualitative studies, our quantitative study recommends targeted education campaigns, focusing on physicians, women, older people and certain occupations. Only the COVID-19 vaccination program for the whole population will resolve the COVID-19 discrimination problem.

The Intention to Receive the COVID-19 Vaccine in China: Insights from Protection Motivation Theory.

(1) Background: More coronavirus disease 2019 (COVID-19) vaccines are gradually being developed and marketed. Improving the vaccination intention will be the key to increasing the vaccination rate in the future; (2) Methods: A self-designed questionnaire was used to collect data on COVID-19 vaccination intentions, protection motivation and control variables. Pearson Chi-square test and multivariate ordered logistic regression models were specified to analyze the determinants of intention to receive COVID-19 vaccine; (3) Results: Although the vaccine was free, 17.75% of the 2377 respondents did not want, or were hesitant, to receive the COVID-19 vaccine. Respondents' cognition of vaccine safety, external reward and response efficacy were positively related to COVID-19 vaccination intention, while age, income and response cost were negatively related to the intention to receive the COVID-19 vaccine. Professionals and people without medical insurance had the lowest intention to vaccinate; (4) Conclusions: The older aged, people without health insurance, those with higher incomes and professionals should be treated as the key intervention targets. Strengthening publicity and education about the safety and efficacy of COVID-19 vaccines, training vaccinated people and community leaders as propagandists for the vaccine, and improving the accessibility to the COVID-19 vaccine are recommended to improve COVID-19 vaccination intention.

Will COVID-19 Vaccinations End Discrimination against COVID-19 Patients in China? New Evidence on Recovered COVID-19 Patients.

(1) Background: By April 2021, over 160 million Chinese have been vaccinated against coronavirus disease 2019 (COVID-19). This study analyzed the impact of vaccination on discrimination against recovered COVID-19 patients and the determinants of discrimination among intended vaccinated people. (2) Methods: A self-designed questionnaire was used to collect data on COVID-19 associated discrimination from nine provinces in China. Pearson chi-square tests and a multivariate ordered logistic regression analyzed the determinants of COVID-19-related discrimination. (3) Results: People who intended to be COVID-19 vaccinated displayed a high level of discrimination against recovered COVID-19 patients, with only 37.74% of the intended vaccinated without any prejudice and 34.11% displaying severe discrimination. However, vaccinations reduced COVID-19-related discrimination against recovered COVID-19 patients from 79.76% to 62.26%. Sex, age, education level, occupation, geographical region, respondents' awareness of vaccine effectiveness and infection risk, and COVID-19 knowledge score had a significant influence on the COVID-19 related discrimination (p < 0.05). (4) Conclusions: Vaccination significantly reduced COVID-19 associated discrimination, but discrimination rates remained high. Among the intended vaccinated respondents, females, the older aged, people with high school and above education level, retirees, migrant workers, and residents in central China were identified as key targets for information campaigns to reduce COVID-19 related discrimination.

COVID-19 Vaccination Willingness among Chinese Adults under the Free Vaccination Policy.

(1) Background: China will provide free coronavirus disease 2019 (COVID-19) vaccinations for the entire population. This study analyzed the COVID-19 vaccination willingness rate (VWR) and its determinants under China's free vaccination policy compared to a paid vaccine. (2) Methods: Data on 2377 respondents were collected through a nationwide questionnaire survey. Multivariate ordered logistic regression models were specified to explore the correlation between the VWR and its determinants. (3) Results: China's free vaccination policy for COVID-19 increased the VWR from 73.62% to 82.25% of the respondents. Concerns about the safety and side-effects were the primary reason for participants' unwillingness to be vaccinated against COVID-19. Age, medical insurance and vaccine safety were significant determinants of the COVID-19 VWR for both the paid and free vaccine. Income, occupation and vaccine effectiveness were significant determinants of the COVID-19 VWR for the free vaccine. (4) Conclusions: Free vaccinations increased the COVID-19 VWR significantly. People over the age of 58 and without medical insurance should be treated as the target intervention population for improving the COVID-19 VWR. Contrary to previous research, high-income groups and professional workers should be intervention targets to improve the COVID-19 VWR. Strengthening nationwide publicity and education on COVID-19 vaccine safety and effectiveness are recommended policies for decision-makers.

Individual preferences for COVID-19 vaccination in China.

BACKGROUND: Vaccinations are an effective choice to stop disease outbreaks, including COVID-19. There is little research on individuals' COVID-19 vaccination decision-making. OBJECTIVE: We aimed to determine individual preferences for COVID-19 vaccinations in China, and to assess the factors influencing vaccination decision-making to facilitate vaccination coverage. METHODS: A D-efficient discrete choice experiment was conducted across six Chinese provinces selected by the stratified random sampling method. Vaccine choice sets were constructed using seven attributes: vaccine effectiveness, side-effects, accessibility, number of doses, vaccination sites, duration of vaccine protection, and proportion of acquaintances vaccinated. Conditional logit and latent class models were used to identify preferences. RESULTS: Although all seven attributes were proved to significantly influence respondents' vaccination decision, vaccine effectiveness, side-effects and proportion of acquaintances vaccinated were the most important. We also found a higher probability of vaccinating when the vaccine was more effective; risks of serious side effects were small; vaccinations were free and voluntary; the fewer the number of doses; the longer the protection duration; and the higher the proportion of acquaintances vaccinated. Higher local vaccine coverage created altruistic herd incentives to vaccinate rather than free-rider problems. The predicted vaccination uptake of the optimal vaccination scenario in our study was 84.77%. Preference heterogeneity was substantial. Individuals who were older, had a lower education level, lower income, higher trust in the vaccine and higher perceived risk of infection, displayed a higher probability to vaccinate. CONCLUSIONS: Preference heterogeneity among individuals should lead health authorities to address the diversity of expectations about COVID-19 vaccinations. To maximize COVID-19 vaccine uptake, health authorities should promote vaccine effectiveness; pro-actively communicate the absence or presence of vaccine side effects; and ensure rapid and wide media communication about local vaccine coverage.

Health-Related Quality of Life and Health Service Use among Multimorbid Middle-Aged and Older-Aged Adults in China: A Cross-Sectional Study in Shandong Province.

(1) Background: The management of multiple chronic diseases challenges China's health system, but current research has neglected how multimorbidity is associated with poor health-related quality of life (HRQOL) and high health service demands by middle-aged and older adults. (2) Methods: A cross-sectional study was conducted in Shandong province, China in 2018 across three age groups: Middle-aged (45 to 59 years), young-old (60 to 74 years), and old-old (75 or above years). The information about socio-economic, health-related behaviors, HRQOL, and health service utilization was collected via face-to-face structured questionnaires. The EQ-5D-3L instrument, comprising a health description system and a visual analog scale (VAS), was used to measure participants' HRQOL, and χ2 tests and the one-way ANOVA test were used to analyze differences in socio-demographic factors and HRQOL among the different age groups. Logistic regression models estimated the associations between lifestyle factors, health service utilization, and multimorbidity across age groups. (3) Results: There were 17,867 adults aged 45 or above in our sample, with 9259 (51.82%) female and 65.60% living in rural areas. Compared with the middle-aged adults, the young-old and old-old were more likely to be single and to have a lower level of education and income, with the old-old having lower levels than the young-old (P < 0.001). We found that 2465 (13.80%) suffered multimorbidities of whom 75.21% were older persons (aged 60 or above). As age increased, both the mean values of EQ-5D utility and the VAS scale decreased, displaying an inverse trend to the increase in the number of chronic diseases (P < 0.05). Ex-smokers and physical check-ups for middle or young-old respondents and overweight/obesity for all participants (P < 0.05) were positively correlated with multimorbidity. Drinking within the past month for all participants (P < 0.001), and daily tooth-brushing for middle (P < 0.05) and young-old participants (P < 0.001), were negatively associated with multimorbidity. Multimorbidities increased service utilization including outpatient and inpatient visits and taking self-medicine; and the probability of health utilization was the lowest for the old-old multimorbid patients (P < 0.001). (4) Conclusions: The prevalence and decline in HRQOL of multimorbid middle-aged and older-aged people were severe in Shandong province. Old patients also faced limited access to health services. We recommend early prevention and intervention to address the prevalence of middle-aged and old-aged multimorbidity. Further, the government should set-up special treatment channels for multiple chronic disease sufferers, improve medical insurance policies for the older-aged groups, and set-up multiple chronic disease insurance to effectively alleviate the costs of medical utilization caused by economic pressure for outpatients and inpatients with chronic diseases.

Multimorbidity and Mental Health: The Role of Gender among Disease-Causing Poverty, Rural, Aged Households in China.

(1) Background: The association between multimorbidity and mental health is well established. However, the role of gender in different populations remains unclear. Currently, China is facing an increased prevalence of multimorbidity, especially in its disease-causing poverty population. The present study explores the gender-based differences in the relationship between multimorbidity and mental health using data from the rural, disease-causing poverty, older-age population in Shandong province, China, as a case study. (2) Methods: The data were obtained from the survey on the health and welfare of disease-causing poverty households in rural Shandong province. We identified 936 rural participants who were over 60 years old from disease-causing poverty households. The mental health status was measured using the Kessler Psychological Distress Scale (K10) instrument. Using a multivariable linear regression model, including the interaction of gender and multimorbidity, gender differences in the association between multimorbidity and mental health were explored. (3) Results: Multimorbidity was a serious health problem in rural, disease-causing poverty, older-age households, with the prevalence of multimorbidity estimated as 40% for women and 35.4% for men. There was a strong association between multimorbidity and mental health, which was moderated by gender. Women had higher K10 scores than men, and the mean K10 score was highest in women with three or more chronic diseases. Compared with men, women with multimorbidity had a higher risk of mental health problems. (4) Conclusions: The prevalence of multimorbidity in older-age rural disease-causing poverty subpopulations is a severe public health problem in China. The association between multimorbidity and mental health differed by gender, where multimorbid women suffered an increased mental health risk compared with men. Gender differences should be addressed when delivering effective physical and mental healthcare support to disease-causing poverty, older-age, rural households.

Catastrophic health expenditure of cancer patients at the end-of-life: a retrospective observational study in China.

BACKGROUND: Cancer is the second leading cause of death globally, causing a substantial economic burden on cancer suffers and their families. The aim of this study is to explore the prevalence, determinants and consequences of catastrophic health expenditure (CHE) among urban and rural end-of-life (EOF) cancer patients in China. METHODS: Using respondent-driven sampling and face-to-face interviews, field research was conducted with a specialist questionnaire. Data were collected on 792 cancer patients who died between June 2013 and June 2016 in China. The determinants of household catastrophic expenditure were identified by multivariate logistic regression. FINDINGS: It is found that more than 80% of cancer patients received life-extending treatment. Extremely high rates of CHE were identified among EOL cancer patients, at 94.3% for urban families and 96.1% for rural families. After spending for health, 84.1% of urban and 91.1% rural EOL cancer patient households were impoverished, falling below the poverty line. For both urban and rural households, income was the most significant factor associated with catastrophic health expenditure (CHE). Health insurance did not adequately compensate for CHE. Rural families experienced higher CHE, lower levels of health care utilization, a different mix of health care access and higher rates of borrowing for out-of-pocket (OOP) health care expenditures than urban families. Both urban and rural households suffered long-term economic disadvantage due to CHE and borrowing for OOP medical care expenses. CONCLUSIONS: EOL cancer patients experienced severe CHE, with families forced into poverty. With only about 1% of EOL cancer patients receiving palliative care, developing palliative care services and expanding the acceptance of palliative care in China is both urgent and essential. To help address impoverishment due to CHE, China should also develop targeted programs to reduce income inequality, especially rural-urban inequalities; increase access to health care; and accelerate health reform. Increasing the retirement age would provide households with more savings and wealth to withstand CHE.

Quality of life in caregivers of a family member with serious mental illness: Evidence from China.

PURPOSE: To evaluate the quality of life (QoL) and social support among family caregivers of a family member with a mental illness and to identify factors associated with the QoL. METHODS: This is a cross-sectional study, where participants were recruited and independently interviewed using a questionnaire, consisting of demographic characteristics, the Medical Outcome Survey SF-36 form, and social support rating scales. Multiple stepwise regression analysis was used to analyse the factors related to QoL. RESULTS: 181 family caregivers were recruited in Shandong province, China. On a composite QoL score, family caregivers perceived that their QoL was poor (68.3), especially in the aspects of role-physical (61.3), role-emotional (57.6) and mental health (63.0). We also found family caregivers received low social support, especially in objective support and utilization of social support. Patient's illness state, care time, financial burden and objective support were significantly correlated to caregivers' QoL in the physical component score (PCS). Patient's illness state, patient's marital status, family monthly income, caregiver's knowledge about the illness, caregivers coordinating caring, life and work, subjective support received and utility of support were significantly associated with caregivers' QoL in the mental component score (MCS). CONCLUSIONS: Social support had a significant correlation with caregivers' QoL. Caregivers should be encouraged to request assistance from other family members and friends in providing care, especially when caregivers are unemployed or long-time carers. Mental health education campaigns and helping families to maintain and enhance a supportive social network may provide useful means to improve caregivers' QoL.

Geographical disparities in treatment and health care costs for end-of-life cancer patients in China: a retrospective study.

BACKGROUND: Cancer imposes substantial burdens on cancer suffers, their families and the health system, especially in the end of life (EOL) of care patients. There are few developing country studies of EOL health care costs and no specialist studies of the disparities in cancer treatment and care costs by geographical location in China. We sought to examine geographical disparities in the types of cancer treatments and care costs during the last 3 months of life for Chinese cancer patients. METHODS: Using snowball sampling and face-to-face interviews, field research was conducted with a specialist questionnaire. Data were collected on 792 cancer patients who died between July 2013 and June 2016 in China. Total EOL health care costs were modeled using generalized linear models (GLMs) with log link and gamma distribution. RESULTS: Total health care costs were highest for urban (US$12,501) and western region (US$9808) patients and lowest for rural (US$5996) and central region (US$5814) patients. Our study revealed about 40% of the health care expenses occur in the last three months of life, and was mainly driven by hospital costs that accounted for about 70% of EOL expenditures. Patients faced out-of-pocket expenses for health care, with the ability to borrow from family and friends also impacting the type of treatment and health facility. Life-extending treatments per cancer patient was about two times that of patients receiving conservative treatments.Urban patients were more likely to receive life-extending treatments, financed by higher incomes and a greater capacity to borrow from family and friends to bridge the gap between health insurance reimbursements and out-of-pocket expenditures. Cancer patients in western region and urban area were significantly more likely to access hospice care. CONCLUSIONS: We found significant urban-rural and regional disparities in EOL types of cancer treatment, utilization of medical care and the health care expenditures. The EOL cancer care costs imposed heavy economic burdens in China.We recommend better clinical guidelines, improved EOL conversations and fuller information on treatment regimes among patients, family caregivers and doctors. Policies and information should pay more attention to palliative care options and the socio-cultural context of cancer care decision-making by family.