Prescription medication use among patients with type 2 diabetes in the United States: 1999-2020.

AIMS: We aimed to examine trends in overall prescription medication use among patients with type 2 diabetes in the United States to provide insights for patient care. MATERIALS AND METHODS: We used nationally representative data from the National Health and Nutrition Examination Survey from 1999 to 2020 and included adult patients with type 2 diabetes. We examined the use of prescription drugs, overall and by drug class, polypharmacy (use of ≥5 medications), and number of medications attributed to specific classes. RESULTS: In the period 2015-2020, the mean patient age was 59.6 (51.0-70.0) years, with 46.8% (43.6-49.9) being female and 57.8% (52.8-62.8) being non-Hispanic White. Among 9489 adults with type 2 diabetes, the prevalence of polypharmacy was high and increased from 35.1% (31.6-38.6) in 1999-2002 to 47.2% (43.7-50.7) in 2003-2006, and further to 51.1% (48.3-53.9) in 2015-2020 (p for trend <0.001). Increasing trends of polypharmacy were found across all population subgroups and across the majority of therapeutic classes. Use of non-cardiometabolic medications was common. Among them, the most common were antidepressants (19.8%), proton pump inhibitors (19.0%) and analgesics (16.2%). Among patients with polypharmacy, approximately 40% of medication use was attributed to non-cardiometabolic medications. CONCLUSIONS: Prescription medication burden and complexity increased substantially among patients with type 2 diabetes, with more than 50% of patients with polypharmacy. Attention should be paid to this escalating medication use and regimen complexity, which requires multidisciplinary and coordinated care.

Key Issues of Economic Evaluations for Health Technology Assessment in China: A Nationwide Expert Survey.

OBJECTIVES: Health technology assessment (HTA) is increasingly crucial in medicine price negotiations in China, yet prior appraisals revealed national discrepancies on key economic evaluation issues: willingness-to-pay (WTP) threshold, pricing models for multi-indication medicines, and comparator selection principles. This study aims to collect expert opinions on these issues for future HTA evaluations. METHODS: A nationwide anonymous web-based survey encompassing experts across academia, HTA, consultancy/contract research organization (CRO)/industry, service provider and payer. In 2023, a generic invitation containing a web link to the questionnaire was disseminated via WeChat using convenience and snowball sampling. Agreement rates for questionnaire views were analyzed using descriptive statistics. The relationship between participants' responses and demographics was examined using appropriate logistic models. RESULTS: 303 responses were received from experts in 34 cities. Key expert views include: a suggested base WTP threshold ranging from 0.5 to 1.5 times GDP (52.1% agreement); elevated thresholds for childhood diseases, rare diseases, end-of-life diseases, and first-in-class medicines (FICs) (>78.0% agreement); a single pricing model for multi-indication medicines (60.4% agreement); consideration of multiple medicines as comparators (79.9% agreement); and avoiding the use of centrally procured medicines as comparators for medicines with a time-to-market under three years (71.0% agreement). Participants who are service provider had lower odds of selecting higher thresholds (OR: 0.26; P<0.01) compared with responders from consultancy/CRO/industry. CONCLUSIONS: Expert views indicate the need for substantial changes in China's current HTA methods, highlighting the need for increased investment in HTA processes and expertise cultivation.

Cost-effectiveness of folic acid therapy for primary prevention of stroke in patients with hypertension.

BACKGROUND: For hypertensive patients without a history of stroke or myocardial infarction (MI), the China Stroke Primary Prevention Trial (CSPPT) demonstrated that treatment with enalapril-folic acid reduced the risk of primary stroke compared with enalapril alone. Whether folic acid therapy is an affordable and beneficial treatment strategy for the primary prevention of stroke in hypertensive patients from the Chinese healthcare sector perspective has not been thoroughly explored. METHODS: We performed a cost-effectiveness analysis alongside the CSPPT, which randomized 20,702 hypertensive patients. A patient-level microsimulation model based on the 4.5-year period of in-trial data was used to estimate costs, life years, quality-adjusted life years (QALYs), and incremental cost-effectiveness ratios (ICERs) for enalapril-folic acid vs. enalapril over a lifetime horizon from the payer perspective. RESULTS: During the in-trial follow-up period, patients receiving enalapril-folic acid gained an average of 0.016 QALYs related primarily to reductions in stroke, and the incremental cost was $706.03 (4553.92 RMB). Over a lifetime horizon, enalapril-folic acid treatment was projected to increase quality-adjusted life years by 0.06 QALYs or 0.03 life-year relative to enalapril alone at an incremental cost of $1633.84 (10,538.27 RMB), resulting in an ICER for enalapril-folic acid compared with enalapril alone of $26,066.13 (168,126.54 RMB) per QALY gained and $61,770.73 (398,421.21 RMB) per life-year gained, respectively. A probabilistic sensitivity analysis demonstrated that enalapril-folic acid compared with enalapril would be economically attractive in 74.5% of simulations at a threshold of $37,663 (242,9281 RMB) per QALY (3x current Chinese per capita GDP). Several high-risk subgroups had highly favorable ICERs < $12,554 (80,976 RMB) per QALY (1x GDP). CONCLUSIONS: For both in-trial and over a lifetime, it appears that enalapril-folic acid is a clinically and economically attractive medication compared with enalapril alone. Adding folic acid to enalapril may be a cost-effective strategy for the prevention of primary stroke in hypertensive patients from the Chinese health system perspective.

Rural population's preferences matter: a value set for the EQ-5D-3L health states for China's rural population.

PURPOSE: To develop an EQ-5D-3L social value set based on Chinese rural population's preferences using the time trade-off (TTO) method, and to compare the differences in preferences on health states between China urban and rural population. METHODS: Between Sep 2013 and Nov 2013, a total of 1201 participants were recruited from rural areas of five Chinese cities (Beijing, Chengdu, Guiyang, Nanjing, and Shenyang) using a quota sampling method. Each respondent valued 13 health states using the TTO, and a total of 97 EQ-5D-3L health states were directly valued for estimating the value set. Various models with different specifications were explored at both aggregate and individual levels. The final model was determined by a set of predefined selection criteria. FINDINGS: An ordinary least square model at the aggregate level included 10 dummy variables for specifying the level 2 and 3 for each dimension and an N3 term presenting any dimension on level 3 was selected as the final model. The final model provides a value set ranges from - 0.218 to 0.859. The predicted utility values were highly correlated with but consistently lower than that of the published Chinese EQ-5D-3L value set (for urban population). CONCLUSION: The availability of the China rural value set provides a set of social preferences weights for researchers and policy decision-makers for use in China rural area.

Income-related health inequality among Chinese adults during the COVID-19 pandemic: evidence based on an online survey.

BACKGROUND: Partial- or full-lockdowns, among other interventions during the COVID-19 pandemic, may disproportionally affect people (their behaviors and health outcomes) with lower socioeconomic status (SES). This study examines income-related health inequalities and their main contributors in China during the pandemic. METHODS: The 2020 China COVID-19 Survey is an anonymous 74-item survey administered via social media in China. A national sample of 10,545 adults in all 31 provinces, municipalities, and autonomous regions in mainland China provided comprehensive data on sociodemographic characteristics, awareness and attitudes towards COVID-19, lifestyle factors, and health outcomes during the lockdown. Of them, 8448 subjects provided data for this analysis. Concentration Index (CI) and Corrected CI (CCI) were used to measure income-related inequalities in mental health and self-reported health (SRH), respectively. Wagstaff-type decomposition analysis was used to identify contributors to health inequalities. RESULTS: Most participants reported their health status as "very good" (39.0%) or "excellent" (42.3%). CCI of SRH and mental health were - 0.09 (p < 0.01) and 0.04 (p < 0.01), respectively, indicating pro-poor inequality in ill SRH and pro-rich inequality in ill mental health. Income was the leading contributor to inequalities in SRH and mental health, accounting for 62.7% (p < 0.01) and 39.0% (p < 0.05) of income-related inequalities, respectively. The COVID-19 related variables, including self-reported family-member COVID-19 infection, job loss, experiences of food and medication shortage, engagement in physical activity, and five different-level pandemic regions of residence, explained substantial inequalities in ill SRH and ill mental health, accounting for 29.7% (p < 0.01) and 20.6% (p < 0.01), respectively. Self-reported family member COVID-19 infection, experiencing food and medication shortage, and engagement in physical activity explain 9.4% (p < 0.01), 2.6% (the summed contributions of experiencing food shortage (0.9%) and medication shortage (1.7%), p < 0.01), and 17.6% (p < 0.01) inequality in SRH, respectively (8.9% (p < 0.01), 24.1% (p < 0.01), and 15.1% (p < 0.01) for mental health). CONCLUSIONS: Per capita household income last year, experiences of food and medication shortage, self-reported family member COVID-19 infection, and physical activity are important contributors to health inequalities, especially mental health in China during the COVID-19 pandemic. Intervention programs should be implemented to support vulnerable groups.

Healthcare utilization at retirement in China.

Previous studies, mostly analyzing data from high-income economies, present mixed evidence on the relationship between retirement and healthcare utilization. This study leverages administrative data for over 80,000 urban Chinese workers to explore the effect of retirement on outpatient and inpatient care utilization using a fuzzy regression discontinuity design. The analyses of medical claims from a large city in China complement and extend the current literature by providing evidence of potential mechanisms underlying increased short-run utilization. In this relatively well-insured population, annual total healthcare expenditures significantly increase primarily because of more intensive use of outpatient care at retirement, especially at the right tail of the distribution of outpatient visits. This increase in outpatient care appears to stem from a decline in the patient cost-sharing rate and the reduced opportunity cost of time upon retirement, interacting with supplier-induced demand, not from any sudden impact on health. We do not find evidence of change in inpatient care at retirement. The results hold for both females and males, and are robust to a number of sensitivity analyses.

Association between household fuel use and sleep quality in the oldest-old: Evidence from a propensity-score matched case-control study in Hainan, China.

STUDY OBJECTIVES: Emerging evidence has documented that poor sleep quality associated with adverse effects with physical, psychological and neurological disorders, which impeded healthy aging. There is limited knowledge regarding the association of household air pollution (HAP) from solid fuel use with sleep quality, particularly among the population at advanced ages. The aim of this study is to investigate this association in oldest-old (≥80 years) populations. METHODS: China Hainan Centenarian Cohort Study was conducted in the 18 cities and counties of Hainan Province from 2015 to 2017. A total of 1725 individuals aged 80 years and older were included in the study. We used the Pittsburgh sleep quality index (PSQI) to measure individuals' sleep quality with a score of PSQI >8 indicating poor sleep quality. Solid fuel users were defined as those who primarily use coal, biomass charcoal, wood or straw for cooking in their daily life. The propensity score matching (PSM) was adopted and logistic regressions were performed based on the matched sample to estimate the association between the two factors. We adjusted for a wide range of covariates, including demographic, socioeconomic, health-related, and environmental factors. RESULTS: After matching, a total of 1616 participants (mean [SD] age, 94.5 [9.5] years; 72.5% women) were included in the final analysis. About 50.9% of the participants used solid fuel for cooking. The average global PSQI score was 8.26 (SD = 3.3), 49.0% of them were detected as poor sleep quality with a global PSQI score >8. We found significantly higher risk of having poor sleep quality among those who were currently solid fuel users than among clean fuel users, with an odds ratio (OR) of 1.43 (95% CI: 1.14-1.80), adjusting for a wide range of confounders. The associations were more pronounced in those who did not use any ventilation (compared to those who used either mechanical or natural cooking ventilation; 1.79 [1.30-2.47] vs. 1.27 [1.01-1.53], P for interaction = 0.016) and in those who were frequent cooking at home (compared to those who never cooked; 1.65 [1.21-2.26] vs. 1.18 [0.93-1.40], P for interaction = 0.025). CONCLUSIONS: Exposure to HAP from solid fuel combustion increases the risk of poor sleep quality at oldest-old ages. Our findings point to the need of reducing HAP from polluted fuel combustion and implementing cooking ventilation as a public health priority for healthy aging initiatives.

The association between iodine intake and semen quality among fertile men in China.

BACKGROUND: Iodine intake is essential in the production of thyroid hormone but very few foods are rich in it. Iodine deficiency or excess iodine level may both lead to thyroid disorders, which further affects human fertility function. The objective of this study is to investigate the relationship between iodine intake and seminal parameters among fertile men in China. METHODS: A total of 1098 couples were recruited by trained physicians at different family planning service stations in 2015. Semen and iodine samples were obtained from male respondents. A questionnaire survey inquired about demographic information from couples. The main outcome variables of semen quality were semen volume, semen concentration, semen motility, and sperm count, and time to pregnancy. Urinary iodine concentration (UIC) was used to measure iodine levels for male respondents. Ordinary least squared regressions and logistic regressions were performed to estimate the association between iodine intake level and semen quality parameters. RESULTS: Male respondents with deficient or excess iodine levels had a 5% higher semen volume relative to those with optimal iodine intake (p < 0.1). Suboptimal iodine intake was negatively associated with semen concentration and semen counts (p < 0.01). Longer time of pregnancy was observed in iodine deficiency and excess group than those in the optimal group (p < 0.01). CONCLUSION: In general, iodine deficiency and excess were both associated with decreasing semen quality parameters in male respondents.

The role of mediation in solving medical disputes in China.

BACKGROUND: Medical litigation represents a growing cost to healthcare systems. Mediation, arbitration, and other alternative dispute resolution (ADR) methods are increasingly used to help solve the disputes and improve healthcare satisfaction. In China, the increasing number of medical disputes has contributed to concern for the safety of physicians and mistrust between physician and patients resulting in ADR processes being established in several provinces in recent years. Our aim was to describe and explain the impact of this new mediation process in the Chinese healthcare system. METHODS: Our study investigated mediation practices in China using case-level data from 5614 mediation records in Guangdong Province between 2013 and 2015. We investigated how the resolution success as well as the compensations are associated with the case characteristics using regression analysis. RESULTS: Among the cases analyzed, 1995 (41%) were solved with agreement through mediation, 1030 were closed by reconciliation, 559 were closed by referring to court and 1017 cases were withdrawn after mediation. Five hundred five Yinao cases were solved with the help of mediators on the spot. We find that mediation solved about 90% of medical disputes under present mechanisms, while more police support is needed to cope with Yinao. The average compensation of mediation is CNY60,200 and average length of mediation is 87 days. Longer time taken to reach resolution and more money claimed by patients are associated with lower resolution success rate (p < 0.01) and higher compensation levels (p < 0.01). CONCLUSION: Our results show the performance of mediation mechanisms in China to help solve medical disputes. ADR plays a role in reducing the need for initiating litigation and may ultimately increase satisfaction with the healthcare system.

Characteristics and health burden of the undiagnosed population at risk of chronic obstructive pulmonary disease in China.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality in China. However, identifying patients has proved challenging, resulting in widespread under-diagnosis of the condition. We examined the prevalence of COPD diagnosis and COPD risk among adults in urban mainland China, the factors associated with having a COPD diagnosis or COPD risk, and the healthcare resource use and health outcomes of these groups compared with controls. METHODS: Respondents to the 2017 National Health and Wellness Survey in China (n = 19,994) were classified into three groups: 'COPD Diagnosed', 'COPD Risk (undiagnosed)', and Control (unaffected), based on their self-reported diagnosis and Lung Function Questionnaire (LFQ) score. The groups were characterised by sociodemographic, health-related quality of life (HRQoL), productivity impairment, and healthcare resource use. Pairwise comparisons (t tests and chi-squared tests) and multivariable regression analyses were used to investigate factors associated with being at risk of, or diagnosed with, COPD. RESULTS: 3320 (16.6%) respondents had a suspected risk of COPD but did not report receiving a diagnosis. This was projected to 105.3 million people, or 16.9% of adult urban Chinese. Of these respondents with an identified risk, only 554 (16.7%) were aware of COPD by name. Relative to those without COPD, those with a risk of COPD (undiagnosed) had significantly greater healthcare resource use, lower productivity and lower HRQoL not only compared to those without COPD, but also compared to people with a COPD diagnosis. Factors associated with increased odds of being at risk of COPD were older age, smoking, alcohol consumption, overweight BMI, occasional exercise, higher comorbidities, asthma diagnosis, being female, lower education, not being employed, and living in a high pollution province (p < 0.05). CONCLUSIONS: There is a substantial group of individuals, undiagnosed, but living with a risk of COPD, who have impaired HRQoL, lower productivity and elevated healthcare resource use patterns. Case-detection tools such as the LFQ may prove a quick and cost-effective approach for identifying these at-risk individuals for further definitive testing and appropriate treatment in China.

Minimally important difference and predictors of change in quality of life in type 2 diabetes: A community-based survey in China.

BACKGROUND: To identify the minimally important difference (MID) of the EQ-5D-3L and determinants of change in quality of life (QoL) as measured by the EQ-5D-3L over 1 year for Chinese type 2 diabetic patients (T2DPs). METHODS: Clinically diagnosed T2DPs were recruited from 66 community health centres in five Chinese cities using a multistage quota sampling method between December 2010 and October 2011. Demographics, diabetes-related information, and health-related behaviours were collected at baseline. The EQ-5D-3L was administered at baseline and at 12 months. Anchor-based and distribution-based approaches were employed to estimate MIDs. Using the MIDs as cut-points, we identified the change in EQ-5D-3L-measured QoL into "worsening," "no change," and "bettering." Logistic and ordered logistic regressions were conducted for those who reported best possible EQ-5D health state ("best possible HS") and impaired EQ-5D health states ("impaired HS") at baseline, respectively. Explanatory variables included demographics, diabetes-related information, and health-related behaviours. RESULTS: A total of 1958 patients (54.9% female, mean age 61.2 years, mean diabetes duration 7.9 years) were included in our analysis. MIDs of the EQ-5D-3L for deterioration and improvement were estimated as -0.066 to -0.003, and 0.049 to 0.077, respectively. For the impaired HS group, older age, lower education, and less exercise were significant predictors for worsening in QoL; whereas, those predictors were older age, female gender, and lower income for the best possible HS group. CONCLUSIONS: Minimally important differences for deterioration and improvement were estimated for the EQ-5D-3L. Age, gender, education, income, and exercise were significant determinants of QoL change for Chinese T2DPs.

Item reduction and validation of the Chinese version of diabetes quality-of-life measure (DQOL).

BACKGROUND: The Diabetes Quality-of-Life (DQOL) Measure is a 46-item diabetes-specific quality of life instrument. The original English version of the DQOL has been translated into Chinese after cultural adaption, and the Chinese DQOL has been validated in the Chinese diabetic patient population and used in diabetes-related studies. There are two recognized problems with the Chinese DQOL: 1) the instrument is too long, and 2) the non-response rate of certain items is relatively high. This study aimed to develop and validate a short version for the Chinese DQOL. METHODS: Item reduction was conducted based on the classical test theory (CTT) and item response theory (IRT), each combined with exploratory factor analysis (EFA). The confirmatory factor analysis (CFA) and Spearman correlation coefficient were employed in validating the short versions. RESULTS: Both the study sample (n = 2,886) and the validation sample (n = 2,286) were from a longitudinal observation study of Chinese type 2 diabetic patients. The CTT kept 32 items, and the IRT kept 24 items from the original 46-item version. The two short versions were comparable in psychometric properties. CONCLUSION: The 24-item IRT-based short version of the Chinese DQOL was selected as the preferred short version because it imposes a lower burden on patients without compromising the psychometric properties of the instrument.

China's Health Reform Update.

China experienced both economic and epistemological transitions within the past few decades, greatly increasing demand for accessible and affordable health care. These shifts put significant pressure on the existing outdated, highly centralized bureaucratic system. Adjusting to growing demands, the government has pursued a new round of health reforms since the late 2000s; the main goals are to reform health care financing, essential drug policies, and public hospitals. Health care financing reform led to universal basic medical insurance, whereas the public hospital reform required more complex measures ranging from changes in regulatory, operational, and service delivery settings to personnel management. This article reviews these major policy changes and the literature-based evidence of the effects of reforms on cost, access, and quality of care. It then highlights the outlook for future reforms. We argue that a better understanding of the unintended consequences of reform policies and of how practitioners' and patients' interests can be better aligned is essential for reforms to succeed.

Long-Term Effects of Famine on Chronic Diseases: Evidence from China's Great Leap Forward Famine.

We evaluate the long-term effects of famine on chronic diseases using China's Great Leap Forward Famine as a natural experiment. Using a unique health survey, we explore the heterogeneity of famine intensity across regions and find strong evidence supporting both the adverse effect and the selection effect. The two offsetting effects co-exist and their magnitudes vary in different age cohorts at the onset of famine. The selection effect is dominant among the prenatal/infant famine-exposed cohort, while the adverse effect appears dominant among the childhood/puberty famine-exposed cohort. The net famine effects are more salient in rural residents and non-migrants subsamples. Gender differences are also found, and are sensitive to smoking and drinking behaviors. Our conclusion is robust to various specifications. Copyright © 2016 John Wiley & Sons, Ltd.

How Much Does Social Status Matter to Longevity?-Evidence from China's Academician Election.

We provide evidence for the causal impact of social status on longevity by exploiting a natural experiment in which subjects undergo a shift in their social status without considerable economic impact. We gather data on 4190 scientists who were either nominated for or successfully elected to the Chinese Academy of Science or of Engineering. Being elected as an academician in China is a boost in social status (vice-ministerial level) with negligible direct economic impact (US$30 monthly before 2009). After correcting for two sources of bias, (1) some potential academicians decease too young to be elected, leading to selection bias in favor of academicians and (2) the endogenous relationship between health and social status, we find that the enhanced social status of becoming an academician leads to approximately 1.2 years longer life. Copyright © 2015 John Wiley & Sons, Ltd.

Cognitive impairment and mortality among the oldest-old Chinese.

OBJECTIVE: This study examined the relationship between cognitive impairment status and all-cause mortality among the oldest-old Chinese. METHODS: A total of 7474 survey participants 80 years of age and above came from the Chinese Longitudinal Healthy Longevity Survey 1998-2012 waves. Baseline cognitive impairment status was assessed using the Chinese version of the mini-mental state examination (MMSE), with total score ranging from 0 to 30. Cox proportional hazards regressions were performed to examine the relationship between baseline cognitive impairment status in 1998 and subsequent all-cause mortality during 1998-2012, adjusting for various individual characteristics at baseline. RESULTS: Compared with those with no or mild cognitive impairment (18 ≤ MMSE score ≤ 30) at baseline, participants with moderate-to-severe cognitive impairment (0 ≤ MMSE score ≤ 17) were 28% (95% confidence interval = 20%, 37%) more likely to die during the follow-up period from 1998 to 2012. A dose-response relationship between baseline severity level of cognitive impairment and mortality was evident. Compared with those without cognitive impairment (25 ≤ MMSE score ≤ 30) at baseline, those having mild cognitive impairment (18 ≤ MMSE score ≤ 24), moderate cognitive impairment (10 ≤ MMSE score ≤ 17), and severe cognitive impairment (0 ≤ MMSE score ≤ 9), were 20% (13%, 28%), 38% (27%, 51%), and 47% (33%, 62%) more likely to die during the follow-up period. No statistically significant gender differences in the relationship between cognitive impairment status and mortality were found. CONCLUSION: Baseline cognitive impairment was inversely associated with longevity among the oldest-old Chinese. Copyright © 2016 John Wiley & Sons, Ltd.

Health Insurance and Health Status: Exploring the Causal Effect from a Policy Intervention.

Whether health insurance matters for health has long been a central issue for debate when assessing the full value of health insurance coverage in both developed and developing countries. In 2007, the government-led Urban Resident Basic Medical Insurance (URBMI) program was piloted in China, followed by a nationwide implementation in 2009. Different premium subsidies by government across cities and groups provide a unique opportunity to employ the instrumental variables estimation approach to identify the causal effects of health insurance on health. Using a national panel survey of the URBMI, we find that URBMI beneficiaries experience statistically better health than the uninsured. Furthermore, the insurance health benefit appears to be stronger for groups with disadvantaged education and income than for their counterparts. In addition, the insured receive more and better inpatient care, without paying more for services. Copyright © 2015 John Wiley & Sons, Ltd.

Chinese time trade-off values for EQ-5D health states.

OBJECTIVE: To generate a Chinese general population-based three-level EuroQol five-dimensios (EQ-5D-3L) social value set using the time trade-off method. METHODS: The study sample was drawn from five cities in China: Beijing, Guangzhou, Shenyang, Chengdu, and Nanjing, using a quota sampling method. Utility values for a subset of 97 health states defined by the EQ-5D-3L descriptive system were directly elicited from the study sample using a modified Measurement and Valuation of Health protocol, with each respondent valuing 13 of the health states. The utility values for all 243 EQ-5D-3L health states were estimated on the basis of econometric models at both individual and aggregate levels. Various linear regression models using different model specifications were examined to determine the best model using predefined model selection criteria. RESULTS: The N3 model based on ordinary least square regression at the aggregate level yielded the best model fit, with a mean absolute error of 0.020, 7 and 0 states for which prediction errors were greater than 0.05 and 0.10, respectively, in absolute magnitude. This model passed tests for model misspecification (F = 2.7; P = 0.0509, Ramsey Regression Equation Specification Error Test), heteroskedasticity (χ(2) = 0.97; P = 0.3254, Breusch-Pagan/Cook-Weisberg test), and normality of the residuals (χ(2) = 1.285; P = 0.5259, Jarque-Bera test). The range of the predicted values (-0.149 to 0.887) was similar to those estimated in other countries. CONCLUSIONS: The study successfully developed Chinese utility values for EQ-5D-3L health states using the time trade-off method. It is the first attempt ever to develop a standardized instrument for quantifying quality-adjusted life-years in China.

Health insurance and subjective well-being: evidence from integrating medical insurance across urban and rural areas in China.

Health insurance coverage and the risk protection it provides may improve enrollees' subjective well-being (SWB), as demonstrated, e.g. by Oregon Medicaid's randomized expansion significantly improving enrollees' mental health and happiness. Yet little evidence from low- and middle-income countries documents the link between insurance coverage and SWB. We analyse individual-level data on a large natural experiment in China: the integration of the rural and urban resident health insurance programmes. This reform, expanded nationally since 2016, is recognized as a vital step towards attaining the goal of providing affordable and equitable basic healthcare in China, because integration raises the level of healthcare coverage for rural residents to that enjoyed by their urban counterparts. This study is the first to investigate the impact of urban-rural health insurance integration on the SWB of the Chinese population. Analysing 2011-18 data from the China Health and Retirement Longitudinal Study in a difference-in-difference framework with variation in the treatment timing, we find that the integration policy significantly improved the life satisfaction of rural residents, especially among low-income and elderly individuals. The positive impact of the integration on SWB appears to stem from the improvement of rural residents' mental health (decrease in depressive symptoms) and associated increases in some health behaviours, as well as a mild increase in outpatient care utilization and financial risk protection. There was no discernible impact of the integration on SWB among urban residents, suggesting that the reform reduced inequality in healthcare access and health outcomes for poorer rural residents without negative spillovers on their urban counterparts.

Associations of hypertension, diabetes and heart disease risk with body mass index in older Chinese adults: a population-based cohort study.

OBJECTIVE: Obesity is a well-established risk factor for disease. Controversy exists regarding the relative risk of morbidity and mortality in individuals who are overweight or underweight compared with individuals with a normal body mass index (BMI). In this study, we investigated the associations between BMI and three non-communicable diseases (hypertension, diabetes and heart disease) in older adults. DESIGN: Cohort study. SETTING: This study used data from the China Health and Retirement Longitudinal Study. The baseline survey was carried out in 2011, and follow-up surveys were conducted in 2013, 2015 and 2018. PARTICIPANTS: Participants who reported having no doctor-diagnosed chronic disease at baseline were included in this study. MAIN OUTCOME MEASURES: We analysed the association between baseline BMI and disease incidence using Cox proportional hazards models. Disease information included self-reported diagnosed conditions. BMI was categorised according to the standard Chinese criteria: underweight (<18.5 kg/m2), normal body weight (18.5-23.9 kg/m2), overweight (24.0-27.9 kg/m2) and obese (≥28.0 kg/m2). RESULTS: A total of 5605 participants were included at baseline. Based on the Kaplan-Meier estimation, the participants who were obese had the highest incidence of all three diseases. Compared with normal weight participants, overweight participants had a greater disease incidence (log-rank tests are p<0.01). Cox regression models showed that with increasing BMI, the HRs of diseases increased accordingly (eg, for hypertension, compared with the BMI group <18.5 kg/m2, the HRs for the BMI groups 18.5-23.9, 24.0-27.9 and ≥28.0 were 1.43 (95% CI 1.00 to 2.05), 2.19 (95% CI 1.51 to 3.18) and 2.89 (95% CI 1.91 to 4.36), respectively). CONCLUSION: A higher BMI was associated with an increased risk of hypertension, diabetes and heart disease in the population aged 45 years and older. Even within normal BMI ranges, a higher BMI was associated with an increased risk of disease. Actions are urgently needed at the population level to address the growing public health challenge of excess weight in the context of an ageing population.