Urban Employee Research Articles

Impact of age on clinical characteristics and 1-year outcomes of non-disabling ischemic cerebrovascular events: A multicenter prospective cohort study

BackgroundThe exploration of age-related clinical features and adverse outcomes of non-disabling ischemic cerebrovascular disease (NICE) has been largely unaddressed in current research. This study aimed to analyze the differences in clinical characteristics and prognostic outcomes of NICE across various age groups, utilizing data from the Xi’an Stroke Registry Study in China.MethodsThe age distribution of NICE was categorized into four groups: age ≤ 54 years, age 55–64 years, age 65–74 years, and age ≥ 75 years. Multivariate Cox logistic regression analysis was employed to evaluate the 1-year risk of outcome events in each age group of patients with NICE. A subgroup analysis was conducted to explore interaction factors influencing age-dependent outcomes in patients with NICE.ResultsThis study included 1,121 patients with NICE aged between 23 and 96 years, with an average age of 63.7 ± 12.2 years. Patients aged ≥ 75 years had a higher proportion of women, lower education levels, and a greater likelihood of having urban employee medical insurance. Those aged < 55 years had a higher prevalence of smoking, while individuals aged > 65 years showed a higher prevalence of comorbidities. Furthermore, there was a significant decrease in body mass index among patients aged ≥ 75 years. Laboratory tests indicated well-controlled blood lipids, liver function, and inflammation across all age groups, but renal function was notably reduced in patients with NICE aged ≥ 75 years. Adjusting for potential confounding factors revealed a significant increase in the one-year risk of all-cause mortality and poor prognosis among patients aged ≥ 75 years compared to those aged < 55 years, with no significant gender difference observed. Subgroup analysis indicated that patients with NICE who consumed alcohol were more prone to experience all-cause mortality with advancing age.ConclusionsAge significantly influences the clinical characteristics and prognostic outcomes of NICE patients. Clinicians should consider age-specific characteristics when diagnosing, treating, and developing prevention strategies. Tailored prevention and treatment strategies for different age groups can enhance prognosis and reduce adverse outcomes in NICE patients.

Effect of Outpatient Pooling Scheme on the Medical Costs of Patients with Chronic Diseases -- Based on Multi-period DID Modeling

The establishment of a sound mechanism for covering outpatient medical bills under the basic medical insurance for urban employees is one of the major livelihood projects to deepen the reform of China's medical security system. This study utilizes the China Health and Retirement Longitudinal Study (CHARLS), combines the interview data from four periods from 2011 to 2018, empirically analyzes the impact of the outpatient pooling scheme on the total outpatient costs and personal burden of patients with chronic diseases by using a multi-period double-difference model and further validates it by using the double-difference propensity score matching method (PSM-DID). The results show that the implementation of the outpatient pooling scheme is conducive to reducing the healthcare burden of chronically ill patients. Although the outpatient co-ordination did not have a significant impact on the reduction of outpatient costs for patients with chronic diseases, it significantly reduced the self-treatment costs of patients with chronic diseases. Further research found that the policy had a greater impact on chronic disease patients with poorer health. Combined with the results of the study, this paper suggests gradually eliminating the differences in basic policy treatment between regions, guaranteeing the level of outpatient treatment for insured patients in different places, and promoting better utilization of the outpatient co-ordination policy effect.

Eliciting medication preferences of patients with type 2 diabetes under different insurance coverages in China

ObjectiveTo understand the medication preference of type 2 diabetes mellitus (T2DM) patients with different insurance coverages, and to provide reference for improving the patient-centered clinical treatment decision.MethodsThis study used Discrete Choice Experiment (DCE) to elicit preferences of T2DM patients with different insurance coverages in China. A multistage stratified cluster-sampling procedure for data collection and a total of 1,409 valid respondent were conducted.ResultsSeven attributes have significant influence on the preference of T2DM patients with Urban Employee Basic Medical Insurance (UEBMI) and Urban and Rural Residents Basic Medical Insurance (URRBMI) (p &amp;lt; 0.05). T2DM patients with UEBMI pay the most attention to Gastrointestinal adverse events, while T2DM patients with URRBMI pay the most attention to the Treatment efficacy/reduction in HbA1c. Patients with different medical insurance have different willingness to pay for Cardiovascular benefits, Mode of administration and Weight change. When Gastrointestinal adverse events is changed from higher (40%) to none (0%), patients with UEBMI are willing to pay ¥523.49 more per month, while patients with URRBMI are only willing to pay ¥266.62; When the Treatment efficacy/reduction in HbA1c changes from poor (0.5%) to Highest (2.5%), patients with UEBMI are willing to pay ¥518.44 more per month, while patients with URRBMI are willing to pay ¥328.33 more per month. The Gastrointestinal adverse events and the Treatment efficacy/reduction in HbA1c are the primary factors for T2DM patients with UEBMI and URRBMI, followed by the Hypoglycemic risk.ConclusionPhysicians should consider patients’ medication preferences in clinical medication treatment of T2DM patients with different insurance coverages, make targeted treatment decisions, and improve patients’ medication compliance to achieve better treatment results.

The impact of long-term care insurance on healthcare utilization and expenditures among middle-aged and older Chinese adults: a quasi-experiment study

BackgroundLong-term care insurance (LTCI) is essential to alleviate the challenges of rapid aging. Research on LTCI in developing countries is limited and conclusions remain controversial. This study aims to empirically evaluate how the LTCI pilot in selected cities influences healthcare utilization and expenditures among middle-aged and older Chinese adults.MethodsData was from 2013, 2015, and 2018 China Health and Retirement Longitudinal Study. 167 LTCI and 8225 non-LTCI group participants were identified. Propensity score matching difference-in-difference method was used to evaluate the net effect of LTCI. The robustness of the findings was tested using a placebo test.ResultsIn the pilot cities, around 17.8% of the population had LTCI coverage, with approximately 59.9% participating in urban employee medical insurance and 81.4% being urban residents. LTCI significantly reduced the monthly out-of-pocket outpatient expenditure by 313.764 yuan (P < 0.05), but had no significant effects on the inpatient utilization and expenditure. Further analysis of vulnerable subgroup revealed that LTCI decreased monthly outpatient visits frequency, total outpatient expenditure, and out-of-pocket outpatient expenditure by 0.523 times, 643.500 yuan, and 302.367 yuan, respectively (P < 0.05). Robustness tests confirmed the stability of these results.ConclusionsThe LTCI coverage rate has remained low. While LTCI has contributed to reducing outpatient utilization and expenditure, its impact on controlling inpatient-related outcomes is limited. It is recommended to broaden LTCI coverage beyond existing participants to encompass more vulnerable populations, and improve awareness and quality of LTCI services to achieve a significant effect on inpatient care.

The relationship between the Barthel Index and stroke-associated pneumonia in elderly patients and factors of SAP

BackgroundStroke-associated pneumonia (SAP) is a common complication in stroke patients, and the Barthel Index (BI) is a well-established metric for assessing activities of daily living (ADL). However, the association between BI and SAP in acute ischemic stroke (AIS) patients remains unclear. This study aims to investigate the relationship between BI at admission and SAP, and explore the factors in AIS elderly patients.MethodRetrospective data were collected from ischemic stroke patients hospitalized at the Second Affiliated Hospital of Nanchang University between January 2018 and July 2021, including their basic demographic and laboratory test results. Restricted cubic spline regression, multivariate logistic regression analysis, and receiver operating characteristic (ROC) curve analysis were employed to investigate the relationship between BI and SAP. Additionally, the Shapley Additive exPlanations (SHAP) method was used to identify the factors influencing SAP.ResultsThe study included 7,548 eligible stroke patients with a mean age of 75.1 ± 7.6 years, among which 41.14% were female. The SAP group demonstrated significantly lower BI compared to the non-SAP group (50.86 ± 35.60 vs. 75.27 ± 26.33, P < 0.001). Additionally, a conspicuous trend of decreasing SAP risk across the Q1-4 groups was observed (P < 0.001). The RCS analysis further confirmed a gradual reduction in SAP risk with increasing BI. Based on the clinical model, both the BI (NRI = 0.014, P = 0.005; IDI = 0.04, P < 0.001) and the NIHSS score (NRI = 0.09, P = 0.03; IDI = 0.025, P < 0.001) demonstrated additional predictive value for SAP. Multivariate logistic regression and SHAP analysis identified WBC, CONUT, TG, UA, and RBC levels, as well as the type of health insurance (urban employee basic medical insurance), as important independent predictors of SAP.ConclusionBI at admission constitutes a risk factor for the onset of SAP in elderly patients with AIS, Compared to the NIHSS and mRS score, BI may be a more reliable and practical predictor of SAP.

Long-term effects of establishing outpatient pooling funds on financial protection: Empirical evidence from a quasi-natural experiment in China.

A limited benefit package for outpatient care in Chinese universal health coverage led to high out-of-pocket outpatient payments, and even medical impoverishment. The outpatient pooling fund model was introduced in China's Urban Employee Basic Medical Insurance to reduce cost-sharing for outpatient care. This study attempts to examine the dynamic effects of the outpatient pooling scheme on financial risk protection for its enrollees. A total of 18,097 individual-level observations covering 52 prefectures were extracted from six waves of China Health and Nutrition Survey (2000-2015). The difference-in-differences model with multiple periods and event study were employed to investigate the dynamic effects of reform on catastrophic health expenditure (CHE) and impoverishing health expenditure (IHE) and potential mechanisms. Our results showed outpatient pooling scheme generated a significant effect on reducing the probability of incurring CHE (β=-0.004, 95% CI=-0.009 to -0.006) and IHE (β=-0.007, 95% CI=-0.012 to -0.001), especially for elderly people over 60years old. The realization of this effect may depend on the reduction of outpatient cost-sharing, increased outpatient care utilization, as well as decreased inpatient care utilization after reform. However, event study found the effectiveness of outpatient pooling reducing CHE and IHE occurrences appeared to be weak even insignificant in more recent years relative to the initial years of policy implementation. Establishing an outpatient pooling system iseffective to alleviate the financial risk caused by healthexpenditures in China. Optimising health service deliveryaimed at enhancing health insurance purchasing efficiencyare deemed imperative for sustaining the policy effectiveness.

Analysis of hospitalization expenditures and influencing factors for inpatients with chronic bronchitis based on SHA2011 in a central Province of China.

This study compared the hospitalization expenses of patients with chronic bronchitis in a central province (Province A) in China to estimate the direct medical cost of the family. Our data included hospitalization records of 30,341 patients with chronic bronchitis from five urban general hospitals in Province A. Using descriptive statistics and regression analysis, we explored the relevant factors affecting hospitalization expenses. Our study results have indicated that from 2016 to 2020, the medical expenditure of patients with chronic bronchitis increased annually, with an average annual growth rate of 22.65%. Among all kinds of expenses, the hospitalization expenses, drug cost, bed cost, test cost and other cost of UEMI (Urban Employee Medical Insurance) are higher than that of other types of medical insurance. The check-up fees of CMI (Commercial Insurance) are lower than that of other types of insurance. Between 2016 and 2019, the average medical expenses per patient with chronic bronchitis increased by 44%, which is the highest average medical expenses among patients aged 60-70. And the highest average medical expenditure emerged when the number of service days is between 5 and 10 days. The increase in expenditure could be attributed to the rapid development of medical technology and the increasing medical demand of the people. Overall, the results of our study implied a significant increase in medical expenses for patients with chronic bronchitis from 2015 to 2020, indicating that chronic bronchitis could bring heavy economic pressures to patients, their families and society.

Uptake of biosimilars in China: a retrospective analysis of the case of trastuzumab from 2018 to 2023

BackgroundThe Chinese biosimilar industry has demonstrated rapid growth in recent years. Limited evidence is available about biosimilar uptake at the national level. This study aimed to assess biosimilar uptake in the case of trastuzumab and to explore potential factors influencing the biosimilar penetration at national and provincial levels.MethodsThis study employed an interrupted time series analysis to assess the level and trend changes of national trastuzumab originator consumption and the overall trastuzumab consumption after the price reduction of the originator and the introduction of the first biosimilar using the China Hospital Pharmacy Audit procurement data from March 2018 to February 2023. A latent class trajectory model (LCTM) was also adopted to estimate the biosimilar penetration across 30 provincial-level administrative divisions (PLADs). Based on the LCTM grouping results, provincial characteristics were analyzed.ResultsAfter rapid growth, the penetration of biosimilars demonstrated a moderate ascending trend at the national level, reaching 27% in February 2023. Following the introduction of the first biosimilar in July 2021, the consumption of the originator decreased by 0.5% per month (P = 0.008), and the growth rate of overall trastuzumab consumption decreased by 1.1% per month (P = 0.014). LCTM fit the best when the number of trajectory classes was two, dividing 30 PLADs into a group demonstrating a faster increase in biosimilar penetration and the other with a slower increase. The PLADs in the fast-increasing group had a higher proportion of the population covered by the national basic health insurance, a lower proportion of the urban population, a lower proportion of the population covered by the urban employee health insurance program, a lower gross domestic product per capita, a lower total health expenditure per capita, and a lower out-of-pocket expenditure.ConclusionsThe uptake of trastuzumab biosimilars in China was lower compared with major European countries. The introduction of trastuzumab biosimilars presented a substitutional effect. Perceptions of physicians and patients, the medicines procurement model, competition from other biologics, and health insurance payment methods may influence biosimilar uptake. Enhancing a comprehensive understanding of biosimilars among physicians and patients, including biologics with biosimilars in the national pooled procurement, and implementing provider payment reforms could foster biosimilar penetration.

The Implementation Effect and Innovation Analysis of Shenzhen Urban Employee Medical Insurance Policy

The Implementation Effect and Innovation Analysis of Shenzhen Urban Employee Medical Insurance Policy

Forecasting health financing sustainability under the unified pool reform: evidence from China’s Urban Employee Basic Medical Insurance

ObjectiveThe integration of the health insurance fund pool may threaten the sustainability of the fund by increasing its expenditures through the exacerbation of the moral hazard of participations. The purpose of this paper is to assess and predict the impact of the single pool reform of China’s Urban Employee Basic Medical Insurance (UEBMI) on the expenditure and sustainability of the health insurance fund.MethodsIn this paper, we consider the pilot implementation of the single pool reform in some provinces of China as a quasi-natural experiment, and develop a staggered DID model to assess the impact of the single pool reform on medical reimbursement expenditure. Based on the results, an actuarial model is developed to predict the impact on the accumulated balance of China’s health insurance fund if the single pool reform is continued.ResultsWe found that the medical reimbursement expenditure would increase by 66.4% per insured person after the unified provincial-level pool reform. There is individual heterogeneity in the effects of the unified single pool reform on medical reimbursement expenditure, and the reimbursement expenditure of retired elderly has the largest increase. If the unified single pool reform is gradually promoted, the current and accumulated balance of the UEBMI pooling fund would have gaps in 2031 and 2042, respectively.ConclusionWe verified that a larger fund pool will bring unreasonable growth of fund expenditures, which will threaten the sustainable development of health insurance. To minimize the impact of the unified single pool reform on the sustainability of the health insurance fund, we suggest strengthening the monitoring of moral hazard behavior, promoting the delayed retirement system, and encouraging childbearing.

Impact of Insurance on Readmission Rates, Healthcare Expenditures, and Length of Hospital Stay among Patients with Chronic Ambulatory Care Sensitive Conditions in China.

Background: The disparities in healthcare access due to varying insurance coverage significantly impact hospital outcomes, yet what is unclear is the role of insurance in providing care once the patient is in the hospital for a preventable admission, particularly in a weak gatekeeping environment. This study aimed to investigate the association between insurance types and readmission rates, healthcare expenditures, and length of hospital stay among patients with chronic ambulatory care sensitive conditions (ACSCs) in China. Methods: This retrospective observational study utilized hospitalization data collected from the Nanhai District, Foshan City, between 2016 and 2020. Generalized linear models (GLMs) were employed to analyze the relationship between medical insurance types and readmission rates, lengths of hospital stay, total medical expenses, out-of-pocket expenses, and insurance-covered expenses. Results: A total of 185,384 records were included. Among these, the participants covered by urban employee basic medical insurance (UEBMI) with 44,415 records and urban and rural resident basic medical insurance (URRBMI) with 80,752 records generally experienced more favorable outcomes compared to self-pay patients. Specifically, they had lower readmission rates (OR = 0.57, 95% CI: 0.36 to 0.90; OR = 0.59, 95% CI: 0.42 to 0.84) and reduced out-of-pocket expenses (β = -0.54, 95% CI: -0.94 to -0.14; β = -0.41, 95% CI: -0.78 to -0.05). However, they also experienced slightly longer lengths of hospital stay (IRR = 1.08, 95% CI: 1.03 to 1.14; IRR = 1.11, 95% CI: 1.04 to 1.18) and higher total medical expenses (β = 0.26, 95% CI: 0.09 to 0.44; β = 0.25, 95% CI: 0.10 to 0.40). Conclusions: This study found that different types of health insurance were associated with varying clinical outcomes among patients with chronic ambulatory care sensitive conditions (ACSCs) in China. Since the hospitalization of these patients was initially avoidable, disparities in readmission rates, lengths of hospital stay, and medical expenses among avoidable inpatient cases exacerbated the health gap between different insurance types. Addressing the disparities among different types of insurance can help reduce unplanned hospitalizations and promote health equity.

Does environmental regulation matter for healthcare utilisation in China? An interrupted time series study.

In recent years, China has implemented a series of environmental regulation policies to improve air quality, but the health effects of these policy changes need to be accurately clarified and quantified. The objective of this study was to empirically examine the effects of levying construction dust pollution fees on healthcare utilisation in a southern city of China. The study used a unique administrative insurance claim dataset from the city's Urban Employee Basic Medical Insurance scheme between 2013 and 2015. The sample included 69,961 enrolees. An interrupted time series design was employed to investigate whether and how the healthcare utilisation of enrolees changed after the policy change. The results showed that this environmental regulation policy did not affect the inpatient utilisation of enrolees but did negatively impact outpatient utilisation. In addition, outpatient utilisation of chronic disease coverage decreased for patients with chronic diseases, including diabetes and hypertension. This study provides evidence that enhancing environmental regulations helps reduce medical costs, which can benefit China and other developing countries to improve environmental quality and promote public health.

Inequalities in health care use among patients with arthritis in China: using Andersen’s Behavioral Model

BackgroundThis study sought to assess socioeconomic-related inequalities in health care use among arthritis patients in China and to analyze factors associated with this disparity.MethodsThis study used data from the 2018 China Health and Retirement Longitudinal Study. 3255 arthritis patients were included. The annual per capita household expenditure was used to divide individuals into five categories. We calculated actual, need-predicted, and need-standardized distributions of health care use by socioeconomic groups among people with arthritis. The concentration index (Cl) was used to assess inequalities in health service use. Influencing factors of inequalities were measured with the decomposition method.ResultsThe outpatient and inpatient service use rates among 3255 arthritis patients were 23.13% and 21.41%, respectively. The CIs for actual outpatient and inpatient services use were 0.0449 and 0.0985, respectively. The standardized CIs for both outpatient and inpatient services use increase (CI for outpatient services use = 0.0537; CI for inpatient services use = 0.1260), indicating the emergence of a significant pro-rich inequity. Annual per capita household expenditure was the chief positive contributor to inequity for both outpatient (104.45%) and inpatient services use (105.74%), followed by infrequently social interaction (22.60% for outpatient services use) and Urban Employee Basic Medical Insurance (UEBMI) (11.90% for inpatient services use). By contrast, UEBMI also provided a high negative contribution to outpatient services use (-15.99%).ConclusionsThere are significant pro-rich inequalities in outpatient and inpatient services use among patients with arthritis, which are exacerbated by widening economic gaps. Interventions to address inequalities should start by improving the economic situation of lower socioeconomic households.

Choice intention for the national volume-based procurement drug and its associated factors: a cross-sectional study on patients with late-life depression in China

BackgroundThe national volume-based procurement (NVBP) policy has significantly decreased prices and increased the accessibility of NVBP drugs. Nevertheless, issues such as heightened adverse reactions and suboptimal efficacy have arisen. Concerns regarding the quality of low-cost medications and the absence of long-term research have been widely recognized. This has led to caution among patients with late-life depression (LLD) due to their delicate health and the severity of their condition. This study evaluated the choice intention for NVBP drugs and associated factors in older patients with LLD.MethodsA weighted sample of 408 participants between December 2022 and March 2023 were included. Data were collected via face-to-face interviews and questionnaires. To identify significant associated factors of choice intention, a multilevel logistic regression model was employed.ResultsOver half (53.68%) of older patients with LLD intended to choose NVBP drugs. Associated factors included self-assessed poor economy, higher out-of-pocket expenses, monthly household income exceeding CNY 6000, absence of other non-communicable chronic diseases, ordinary registration, urban employee medical insurance, no requirements for brand-name drugs, adverse reactions after using NVBP drugs, and rejection of physicians’ recommendation for NVBP drugs. The interaction effect between the real economic condition and patients self-assessed economy significantly influences choice intention for NVBP drugs. Among 124 patients with self-assessed poor economy, 75 showed a higher intention to use NVBP drugs. In these patients, age, medical insurance reimbursement, and brand awareness were significantly associated with choice intention.ConclusionEconomic factors, physical conditions, medical needs, and physician recommendations significantly influenced the choice intention for NVBP drugs. The choice intention can be improved by strengthening physician-patient communication, increasing the scope and proportion of medical insurance reimbursement, improving substitution studies, and conducting post-marketing re-evaluations of NVBP drugs.

Incidence and prevalence of systemic lupus erythematosus in urban China, 2013-2017: A nationwide population-based study.

Systemic lupus erythematosus (SLE) is becoming a growing public health concern due to increasing disease and economic burdens. Epidemiological information about SLE, especially its incidence rate, is limited in developing countries. In the current study, we sought to investigate the incidence, prevalence, and economic burdens of SLE in urban China. We conducted a nationwide population-based cohort study using databases from Urban Employee Basic Medical Insurance and Urban Resident Basic Medical Insurance between 2013 and 2017, covering approximately 300 million residents in 23 provincial regions in China. Incidence rate and prevalence were standardized by age and gender to China's 2010 national census data. Additionally, we calculated the average annual costs and hospital visit rates. A total of 132,258 SLE patients were identified during the study period, with a mean age of 43.03years (standard deviation: 15.29years). Of these patients, 81.33% were women. In 2017, the standardized incidence rate of SLE in China was 14.09 (95% confidence interval (CI), 11.95-16.41) per 100,000 person-years, with a higher incidence in women than in men (26.41 vs. 5.92 per 100,000 person-years). Standardized prevalence in 2017 was 47.61 (41.77-53.83), 94.16 (80.67-108.69), and 17.86 (13.84-22.38) per 100,000 people in the overall, female, and male populations, respectively. The average annual rates of increase in prevalence were 21.50%, 19.72%, and 25.67% from 2013 to 2017 in the overall, female, and male populations, respectively. The age-specific incidence rates peaked at 30-49years old in women and 40-59years old in men. SLE incident and prevalent cases were most common in North-West China and less common in southern and eastern China. Distinct variations in incidence rates across different regions are also consistent with the varying levels of ultraviolet radiation exposure in China. Additionally, the average estimated annual per-capita cost was 1599.34 US dollars in SLE patients, with the highest costs observed in adolescent and young adult patients among different age groups. The SLE population in China is rapidly expanding, and younger at onset, especially in women, which has placed significant burdens on China's healthcare system.

Curative care expenditure of outpatient anxiety disorder in Liaoning Province, 2015-2020-based on "System of Health Accounts 2011".

Anxiety disorders are the most common mental disorder, experienced by more than a quarter of the population. This study examines total outpatient curative care expenditures (CCE) for anxiety disorders and changes in their composition based on the System of Health Accounts 2011 (SHA 2011). This study used multi-stage stratified random from a total of 9,318,513 outpatient sample data by 920 healthcare organizations, a total of 109,703 cases of anxiety disorders from 53 sample organizations (5.76%) from 2015 to 2020. Univariate analysis, multifactor analysis and structural equation modeling (SEM) were used to explore the influential factors affecting outpatient CCE for anxiety disorders. Anxiety disorder outpatient CCE from 2015 to 2020 continued to increase from CNY 99.39million in 2015 to CNY 233.84 million in 2020, mainly concentrated in western medicine costs, 15-64 years, general hospital, generalized anxiety disorder and public financing. The results of univariate analysis showed statistically significant differences in all subgroups, and the results of multivariate analysis and SEM showed that the choice to purchase western drugs, purchase prepared Chinese drugs, choice to have a checkup, urban employees' basic medical insurance, and 0-14 years old were associated with high anxiety disorder outpatient CCE. Initiatives to improve the essential drug system, reduce the out-of-pocket (OOP) ratio, and strengthen primary health care to effectively reduce the medical burden on patients.

The Gender Gap in Pension Income for Urban Employees in China

Gender interests are crucial in the redistributive equity of the pension system. This paper investigates the gender gap in retirement pension incomes of urban employees in China by using data from the Chinese Household Income Project and decomposes the main factors contributing to the gender gap. We find that the pension income of female employees after retirement is significantly lower than that of male employees. Decomposition reveals that age, pre-retirement wage level, and type of work unit are the main factors contributing to the gender gap. Further, we find that the gender gap in pension incomes is lower for employees employed in the public sector than for those employed in enterprises, because enterprises are more affected by the market environment than the public sector, and female employees tend to suffer more market discrimination. In general, females still face the challenge of having significantly lower pension standards than males after retirement.

EQ-5D-5L Population Scores in Mainland China: Results From a Nationally Representative Survey 2021

ObjectivesThere is a lack of monitoring changes in the population scores of the most recent version, EQ-5D-5L, in mainland China. This study aimed to address this knowledge gap by assessing the EQ-5D-5L scores in mainland China using a nationally representative sample. MethodsData were extracted from the 2021 Survey of Health Index of Chinese Families, which covered 31 provinces/autonomous regions/municipalities in mainland China. The survey used a multistage quota sampling strategy encompassing 120 prefecture-level cities. Quotas were allocated to each prefecture-level city in accordance with the 2020 China Population Census. This approach resulted in a final sample of 11 030 eligible questionnaires. The utility index (UI) and EuroQol Visual Analog Scale (EQ VAS) scores were reported for the entire sample (age-gender-urban/rural weighted) and by the characteristics of the study participants. ResultsThe study participants had a weighted mean UI of 0.939 (SD 0.135) and EQ VAS score of 80.19 (SD 18.39). The most commonly reported problem was anxiety/depression (26.37%), whereas self-care was the least reported problem (6.18%). Those who were male, were younger, lived without chronic conditions and disabilities, had higher levels of education, earned higher monthly household income, and were covered by basic medical insurance for urban employees had higher scores in both the UI and EQ VAS. ConclusionThis study revealed slightly lower UI scores despite a much higher drop in EQ VAS scores whereas China maintained minimum cases of COVID-19 in 2021 compared with the population norms recorded in 2019. Further studies are warranted to unveil the full impacts of COVID-19 outbreaks.

The impact of an innovative payment method on medical expenditure, efficiency, and quality for inpatients with different types of medical insurance: evidence from a pilot city, China

BackgroundSince 2020, China has implemented an innovative payment method called Diagnosis-Intervention Packet (DIP) in 71 cities nationwide. This study aims to assess the impact of DIP on medical expenditure, efficiency, and quality for inpatients covered by the Urban Employee Basic Medical Insurance (UEBMI) and Urban and Rural Residents Basic Medical Insurance (URRBMI). It seeks to explore whether there are differences in these effects among inpatients of the two insurance types, thereby further understanding its implications for health equity.Materials and methodsWe conducted interrupted time series analyses on outcome variables reflecting medical expenditure, efficiency, and quality for both UEBMI and URRBMI inpatients, based on a dataset comprising 621,125 inpatient reimbursement records spanning from June 2019 to June 2023 in City A. This dataset included 110,656 records for UEBMI inpatients and 510,469 records for URRBMI inpatients.ResultsAfter the reform, the average expenditure per hospital admission for UEBMI inpatients did not significantly differ but continued to follow an upward pattern. In contrast, for URRBMI inpatients, the trend shifted from increasing before the reform to decreasing after the reform, with a decline of 0.5%. The average length of stay for UEBMI showed no significant changes after the reform, whereas there was a noticeable downward trend in the average length of stay for URRBMI. The out-of-pocket expenditure (OOP) per hospital admission, 7-day all-cause readmission rate and 30-day all-cause readmission rate for both UEBMI and URRBMI inpatients showed a downward trend after the reform.ConclusionThe DIP reform implemented different upper limits on budgets based on the type of medical insurance, leading to varying post-treatment prices for UEBMI and URRBMI inpatients within the same DIP group. After the DIP reform, the average expenditure per hospital admission and the average length of stay remained unchanged for UEBMI inpatients, whereas URRBMI inpatients experienced a decrease. This trend has sparked concerns about hospitals potentially favoring UEBMI inpatients. Encouragingly, both UEBMI and URRBMI inpatients have seen positive outcomes in terms of alleviating patient financial burdens and enhancing the quality of care.

A Random Forest Algorithm for Assessing Risk Factors Associated With Chronic Kidney Disease: Observational Study.

The prevalence and mortality rate of chronic kidney disease (CKD) are increasing year by year, and it has become a global public health issue. The economic burden caused by CKD is increasing at a rate of 1% per year. CKD is highly prevalent and its treatment cost is high but unfortunately remains unknown. Therefore, early detection and intervention are vital means to mitigate the treatment burden on patients and decrease disease progression. In this study, we investigated the advantages of using the random forest (RF) algorithm for assessing risk factors associated with CKD. We included 40,686 people with complete screening records who underwent screening between January 1, 2015, and December 22, 2020, in Jing'an District, Shanghai, China. We grouped the participants into those with and those without CKD by staging based on the glomerular filtration rate staging and grouping based on albuminuria. Using a logistic regression model, we determined the relationship between CKD and risk factors. The RF machine learning algorithm was used to score the predictive variables and rank them based on their importance to construct a prediction model. The logistic regression model revealed that gender, older age, obesity, abnormal index estimated glomerular filtration rate, retirement status, and participation in urban employee medical insurance were significantly associated with the risk of CKD. On RF algorithm-based screening, the top 4 factors influencing CKD were age, albuminuria, working status, and urinary albumin-creatinine ratio. The RF model predicted an area under the receiver operating characteristic curve of 93.15%. Our findings reveal that the RF algorithm has significant predictive value for assessing risk factors associated with CKD and allows the screening of individuals with risk factors. This has crucial implications for early intervention and prevention of CKD.