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Aims: This study aimed to investigate maternal preferences for gestational diabetes mellitus (GDM) screening options in rural China to identify an optimal GDM screening strategy., Methods: Pregnant women at 24-28 gestational weeks were recruited from Shandong province, China. A discrete choice experiment (DCE) was conducted to elicit pregnant women's preferences for GDM screening strategy defined by five attributes: number of blood draws, out-of-pocket costs, screening waiting-time, number of hospital visits, and positive diagnosis rate. A mixed logistic model was employed to quantify maternal preferences, and to estimate the relative importance of included attributes in determining pregnant women's preferences for two routinely applied screening strategies ("one-step": 75 g oral glucose tolerance test [OGTT] and "two-step": 50 g glucose challenge-test plus 75 g OGTT). Preference heterogeneity was also investigated., Results: N = 287 participants completed the DCE survey. All five predefined attributes were associated with pregnant women's preferences. Diagnostic rate was the most influential attribute (17.5 vs. 8.0%, OR: 2.89; 95%CI: 2.10 to 3.96). When changes of the attributes of "two-step" to "one-step" strategies, women's uptake probability from full "two-step" to "one-step" significantly increased with 71.3% (95%CI: 52.2 to 90.1%), but no significant difference with the first step of "two-step" (-31.0%, 95%CI: -70.2 to 8.1%)., Conclusion: Chinese pregnant women preferred the "one-step" screening strategy to the full "two-step" strategy, but were indifferent between "one-step" and the first step of "two-step" strategies., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Xu, Jiang, Guo, Campbell, Ahmad, Xia, Lai, Yan, Ma, Fang and Palmer.)

Health economics uses quality adjusted life years (QALYs) to help healthcare decision makers. However, unlike life expectancy for which age- and sex-dependent national life tables are available, no general population norms exist to use as a benchmark against which to compare observed or modeled projections of QALYs in sub-populations or patients. We developed a 2-state Markov model to generate QALY population norms for the USA, UK, China and Australia. Annual age- and sex-specific probabilities of all-cause mortality were taken from life tables combined with general population country-specific age- and sex-specific health state utilities for the EQ-5D-3L (all countries); and SF-6D (Australia) multi-attribute utility instruments (MAUI). To validate our QALY benchmark model we found that the model closely predicted population life expectancies. Using EQ-5D-3L, undiscounted QALYs for males/females aged 18 years ranged 54.62/58.90 (USA), 55.55/60.21 (China), 57.11/60.16 (Australia), and 58.01/61.43 (UK) years. SF-6D benchmark QALYs for Australia were consistently lower than those generated from the EQ-5D-3L. The gap in undiscounted QALYs between the UK (highest) and the USA (lowest) was 2.53 QALYs in women and 3.39 QALYs in men aged 18 years. Our model's QALY population norms can be used for internal validation of future health economic models for the country-specific value sets for the instruments that we adopted, and when quantifying burden of disease in terms of QALYs lost due to illness compared to the general population. We have created a publicly available repository to continuously include QALY benchmarks that use country-specific value sets for other MAUIs and life expectancies., (© 2021 John Wiley & Sons Ltd.)

While adherence to osteoporosis treatment is low, patients' preference for osteoporosis treatment is unknown in Chinese patients. Chinese patients are willing to receive treatments with higher clinical efficacy and lower out-of-pocket cost. In addition, annual intravenous infusion and 6-month subcutaneous injection are preferred over weekly oral tablets., Purpose: This study was performed to elicit Chinese patients' preferences for osteoporosis medication treatment and to investigate the heterogeneities of the preferences in subgroups., Methods: A discrete choice experiment comprising 15 choice sets with 4 important attributes was conducted in a Chinese population at risk of osteoporotic fracture. The four attributes were treatment efficacy in reducing the risk of fracture, out-of-pocket cost per year, adverse effects of treatment, and mode of administration. The patients were asked to choose between two hypothetical treatments; they could also choose no treatment. Mixed logit models were used, and any observed heterogeneity in the patients' preferences was further assessed in subgroup analyses., Results: In total, 267 patients were analysed. On average, the patients preferred to receive treatment rather than no treatment. The patients preferred treatment with higher efficacy in preventing fracture and lower out-of-pocket cost. The least preferred adverse effect of medication was gastrointestinal disorders, followed by flu-like symptoms and finally skin reactions. The most preferred mode of administration was annual intravenous infusion, followed by 6-month subcutaneous injection, a weekly oral tablet, and daily nasal spray; daily oral tablets ranked as the least preferred mode of administration. The differences in the patients' preferences among all attributes were statistically significant (p < 0.05). Patients' age was found to contribute to the observed preference heterogeneity in most of the included attributes., Conclusions: This study revealed Chinese patients' preferences for osteoporosis treatments. Annual intravenous infusion and 6-month subcutaneous injection were significantly preferred over weekly oral tablets in this Chinese population.

Objectives: 'Horizontal inequity' in healthcare finance occurs when people with equal income contribute unequally to healthcare payments. Prior research is lacking on horizontal inequity in China. Accordingly, this study set out to examine horizontal inequity in the Chinese healthcare financing system in 2002 and 2007 through two rounds of national household health surveys., Design: Two rounds of cross-sectional study., Setting: Heilongjiang Province, China., Participants: Adopting a multistage stratified random sampling, 3841 households with 11 572 individuals in 2003 and 5530 households with 15 817 individuals in 2008 were selected., Methods: The decomposition method of Aronson et al was used in the present study to measure the redistributive effects and horizontal inequity in healthcare finance., Findings: Over the period 2002-2007, the absolute value of horizontal inequity in total healthcare payments decreased from 93.85 percentage points to 35.50 percentage points in urban areas, and from 113.19 percentage points to 37.12 percentage points in rural areas. For public health insurance, it increased from 17.84 percentage points to 28.02 percentage points in urban areas, and decreased from 127.93 percentage points to 0.36 percentage points in rural areas. Horizontal inequity in out-of-pocket payments decreased from 79.92 percentage points to 24.83 percentage points in urban areas, and from 127.71 percentage points to 53.10 percentage points in rural areas., Conclusions: Our results show that horizontal inequity in total healthcare financing decreased over the period 2002-2007 in China. In addition, out-of-pocket payments contributed most to the extent of horizontal inequity, which were reduced both in urban and rural areas over the period 2002-2007., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Unlabelled: A state-transition microsimulation model was used to project the substantial economic burden to the Chinese healthcare system of osteoporosis-related fractures. Annual number and costs of osteoporosis-related fractures were estimated to double by 2035 and will increase to 5.99 (95 % CI 5.44, 6.55) million fractures costing $25.43 (95 % CI 23.92, 26.95) billion by 2050. Consequently, cost-effective intervention policies must urgently be identified in an attempt to minimize the impact of fractures., Introduction: The aim of the study was to project the osteoporosis-related fractures and costs for the Chinese population aged ≥50 years from 2010 to 2050., Methods: A state-transition microsimulation model was used to simulate the annual incident fractures and costs. The simulation was performed with a 1-year cycle length and from the Chinese healthcare system perspective. Incident fractures and annual costs were estimated from 100 unique patient populations for year 2010, by multiplying the age- and sex-specific annual fracture risks and costs of fracture by the corresponding population totals in each of the 100 categories. Projections for 2011-2050 were performed by multiplying the 2010 risks and costs of fracture by the respective annual population estimates. Costs were presented in 2013 US dollars., Results: Approximately 2.33 (95 % CI 2.08, 2.58) million osteoporotic fractures were estimated to occur in 2010, costing $9.45 (95 % CI 8.78, 10.11) billion. Females sustained approximately three times more fractures than males, accounting for 76 % of the total costs from 1.85 (95 % CI 1.68, 2.01) million fractures. The annual number and costs of osteoporosis-related fractures were estimated to double by 2035 and will increase to 5.99 (95 % CI 5.44, 6.55) million fractures costing $25.43 (95 % CI 23.92, 26.95) billion by 2050., Conclusions: Our study demonstrated that osteoporosis-related fractures cause a substantial economic burden which will markedly increase over the coming decades. Consequently, healthcare resource planning must consider these increasing costs, and cost-effective screening and intervention policies must urgently be identified in an attempt to minimize the impact of fractures on the health of the burgeoning population as well as the healthcare budget.

Unlabelled: This study aimed to document and validate a new cost-effectiveness model of osteoporosis screening and treatment strategies. The state-transition microsimulation model demonstrates strong internal and external validity. It is an important tool for researchers and policy makers to test the cost-effectiveness of osteoporosis screening and treatment strategies., Introduction: The objective of this study was to document and validate a new cost-effectiveness model of screening for and treatment of osteoporosis., Methods: A state-transition microsimulation model using a lifetime horizon was constructed with seven Markov states (no history of fractures, hip fracture, vertebral fracture, wrist fracture, other fracture, postfracture state, and death) describing the most important clinical outcomes of osteoporotic fractures. Tracker variables were used to record patients' history, such as fracture events, duration of treatment, and time since last screening. The model was validated for Chinese postmenopausal women receiving screening and treatment versus no screening. Goodness-of-fit analyses were performed for internal and external validation. External validity was tested by comparing life expectancy, osteoporosis prevalence rate, and lifetime and 10-year fracture risks with published data not used in the model., Results: The model represents major clinical facets of osteoporosis-related conditions. Age-specific hip, vertebral, and wrist fracture incidence rates were accurately reproduced (the regression line slope was 0.996, R(2) = 0.99). The changes in costs, effectiveness, and cost-effectiveness were consistent with changes in both one-way and probabilistic sensitivity analysis. The model predicted life expectancy and 10-year any major osteoporotic fracture risk at the age of 65 of 19.01 years and 13.7%, respectively. The lifetime hip, clinical vertebral, and wrist fracture risks at age 50 were 7.9, 29.8, and 18.7% respectively, all consistent with reported data., Conclusions: Our model demonstrated good internal and external validity, ensuring it can be confidently applied in economic evaluations of osteoporosis screening and treatment strategies.