Turning waste into treasure: A new direction for low-cost production of lipid chemicals from Thraustochytrids.

Thraustochytrids are marine microorganisms known for their fast growth and ability to store lipids, making them useful for producing polyunsaturated fatty acids (PUFAs), biodiesel, squalene, and carotenoids. However, the high cost of production, mainly due to expensive fermentation components, limits their wider use. A significant challenge in this context is the need to balance production costs with the value of the end products. This review focuses on integrating the efficient utilization of waste with Thraustochytrids fermentation, including the economic substitution of carbon sources, nitrogen sources, and fermentation water. This approach aligns with the 3Rs principles (reduction, recycling, and reuse). Furthermore, it emphasizes the role of Thraustochytrids in converting waste into lipid chemicals and promoting sustainable circular production models. The aim of this review is to emphasize the value of Thraustochytrids in converting waste into treasure, providing precise cost reduction strategies for future commercial production.

Access to innovative anticancer medicines in China: a national survey on availability, price and affordability.

OBJECTIVES: This study aimed to investigate the availability, price, and affordability of nationally negotiated innovative anticancer medicines in China. DESIGN: Retrospective observational study based on data from a nationwide medical database. DATA SOURCES/SETTING: Quarterly data about the use of innovative anticancer medicines from 2020 to 2022 were collected from the Chinese Medicine Economic Information Network. This study covered 895 public general hospitals in 30 provincial administrative regions in China. Of the total hospitals, 299 (33.41%) were secondary and 596 (66.59%) were tertiary. MAIN OUTCOME MEASURES: The adjusted WHO and Health Action International methodology was used to calculate the availability and affordability of 33 nationally negotiated innovative anticancer medicines in the investigated hospitals. Price is expressed as the defined daily dose cost. RESULTS: On average, the total availability of 33 innovative anticancer medicines increased annually from 2020 to 2022. The median availability of all investigated medicines in tertiary hospitals from 2020 to 2022 was 24.04%, 33.60% and 37.61%, respectively, while the indicators in secondary hospitals were 4.90%, 12.54% and 16.48%, respectively. The adjusted prices of the medicines newly put in Medicare (in March 2021) decreased noticeably, with the decline rate ranging from 39.98% to 82.45% in 2021 compared with those in 2020. Most generic brands were priced much lower than the originator brands. The affordability of anticancer medicines has improved year by year from 2020 to 2022. In comparison, rural residents had lower affordability than urban residents. CONCLUSIONS: The overall accessibility of 33 nationally negotiated innovative anticancer medicines improved from 2020 to 2022. However, the overall availability of most anticancer medicines in China remained at a low level (less than 50%). Further efforts should be made to sufficiently and equally benefit patients with cancer.

Burden of depression in adolescents in the Western Pacific Region from 1990 to 2019: An age-period-cohort analysis of the Global Burden of Disease study.

BACKGROUND: Depression is a highly prevalent and disabling mental health condition among adolescents. The epidemiology of depression in adolescents has been changing over time, reflecting changes in risk factors as well as disease concepts and diagnosis. However, few studies have characterized the longitudinal epidemiology of depression in adolescents. Understanding trends of disease burden provides key insights to improve resource allocation and design targeted interventions for this vulnerable population. The Western Pacific Region (WPR) is home to over 1.3 billion people with tremendous diversity in culture and socioeconomic development. The epidemiology of adolescent depression in WPR remains largely unknown. In this study, we aimed to estimate trends of disease burden attributable to depressive disorders among adolescents aged 10-24 years in WPR countries between 1990 and 2019, and to investigate period and cohort effects using the Global Burden of Disease (GBD) study database. METHODS: The study utilized data from the Global Burden of Disease, Injuries, and Risk Factors Study 2019, concentrating on adolescents aged 10 to 24 years with depression. We conducted an in-depth analysis of depression, including its age-standardized prevalence, incidence, and Disability-Adjusted Life Years (DALYs), across diverse demographics such as regions, ages, genders, and socio-demographic indexes, spanning from 1990 to 2019. RESULTS: The analysis found decreasing trends in the prevalence, incidence, and DALYs of adolescent depression in the WPR between 1990-2019, although some countries like Australia and Malaysia showed increases. Specifically, the prevalence of adolescent depression in the region decreased from 9,347,861.6 cases in 1990 to 5,551,341.1 cases in 2019. The incidence rate declined from 2,508.6 per 100,000 adolescents in 1990 to 1,947.9 per 100,000 in 2019. DALYs decreased from 371.9 per 100,000 in 1990 to ASR 299.7 per 100,000 in 2019. CONCLUSION: This study found an overall decreasing trend in adolescent depression burden in the Western Pacific Region between 1990 and 2019, with heterogeneity across countries. For 30 years, the 20-24 age group accounted for the majority of depression among adolescents Widening inequality in depression burden requires policy attention. Further analysis of risk factors contributing to epidemiological trends is warranted to inform prevention strategies targeting adolescent mental health in the region.

Hardware algorithm design and validation for nuclear radiation imaging based on Monte Carlo simulation.

The nuclear radiation imaging technology, aimed at illustrating the position and distribution of radioactive sources, has undergone extensive research. By relying on a simulated radiation imaging system for data acquisition, we can significantly expedite the development cycle of these imaging instruments. Establishing simulated experimental scenarios and radiation imaging systems is of paramount significance in obtaining output signals for algorithmic testing and validation. This study is divided into two parts: simulation and hardware algorithm. In the simulation part, precise simulation of scintillation light transport in a crystal was achieved using the GEANT4 Monte Carlo simulation toolkit. A LaBr3(Ce) detector system was simulated by digitizing photon interactions. In the hardware algorithm part, a positioning algorithm based on a fully connected neural network was implemented and optimized using a heterogeneous distributed storage approach. The system validated and assessed the FPGA-based neural network gamma camera positioning algorithm, demonstrating significant consistency with computer-generated images in capturing the shape and dispersion of radioactive sources (planar, multi-point, and ring-shaped).

The integration of multi-omics analysis and machine learning for the identification of prognostic assessment and immunotherapy efficacy through aging-associated genes in lung cancer.

BACKGROUND: Recent years revealed key molecules in lung cancer research, yet their exact roles in disease onset and progression remain uncertain. Lung cancer's heterogeneity complicates prognosis prediction. This study integrates pivotal molecules to evaluate patient prognosis and immunotherapy efficacy. METHODS: The WGCNA algorithm identified module genes linked to immunity. The Lasso-Cox method built a prognostic model for outcome prediction. GO and KEGG analyses explored gene pathways. ssGSEA quantified immune cell types and functions. The riskScore predicts the effectiveness of immunotherapy based on its correlation with DNA repair and immune checkpoint genes. Single-cell sequencing examined key gene expression across cell types. RESULTS: Using WGCNA, we identified the MEbrown module related to immunity. Lasso-Cox selected "BLK," "ITGB4," "PRKCH," and "SNAI1" for the prognostic model. MF analysis revealed enriched functions including antigen binding, GTPase regulator activity. In terms of BP, processes like immune signaling and mitotic division were enriched. CC enrichment included immunoglobulin complexes and chromosomal regions. Enriched pathways encompassed Cell cycle, Focal adhesion, Cellular senescence, and p53 signaling. ssGSEA evaluated immune cell abundance. RiskScore correlated with CTLA4 and PD1 through MMR and immune checkpoint analysis. Single-cell analysis indicated gene expression across cell types for BLK, ITGB4, PRKCH, and SNAI1. CONCLUSION: In summary, our developed prognostic model utilizing age-related genes effectively predicts lung cancer prognosis and the efficacy of immune therapy.

Validation of an established TW3 artificial intelligence bone age assessment system: a prospective, multicenter, confirmatory study.

Background: In 2020, our center established a Tanner-Whitehouse 3 (TW3) artificial intelligence (AI) system using a convolutional neural network (CNN), which was built upon 9059 radiographs. However, the system, upon which our study is based, lacked a gold standard for comparison and had not undergone thorough evaluation in different working environments. Methods: To further verify the applicability of the AI system in clinical bone age assessment (BAA) and to enhance the accuracy and homogeneity of BAA, a prospective multi-center validation was conducted. This study utilized 744 left-hand radiographs of patients, ranging from 1 to 20 years of age, with 378 boys and 366 girls. These radiographs were obtained from nine different children's hospitals between August and December 2020. The BAAs were performed using the TW3 AI system and were also reviewed by experienced reviewers. Bone age accuracy within 1 year, root mean square error (RMSE), and mean absolute error (MAE) were statistically calculated to evaluate the accuracy. Kappa test and Bland-Altman (B-A) plot were conducted to measure the diagnostic consistency. Results: The system exhibited a high level of performance, producing results that closely aligned with those of the reviewers. It achieved a RMSE of 0.52 years and an accuracy of 94.55% for the radius, ulna, and short bones series. When assessing the carpal series of bones, the system achieved a RMSE of 0.85 years and an accuracy of 80.38%. Overall, the system displayed satisfactory accuracy and RMSE, particularly in patients over 7 years old. The system excelled in evaluating the carpal bone age of patients aged 1-6. Both the Kappa test and B-A plot demonstrated substantial consistency between the system and the reviewers, although the model encountered challenges in consistently distinguishing specific bones, such as the capitate. Furthermore, the system's performance proved acceptable across different genders and age groups, as well as radiography instruments. Conclusions: In this multi-center validation, the system showcased its potential to enhance the efficiency and consistency of healthy delivery, ultimately resulting in improved patient outcomes and reduced healthcare costs.

A comparative study for accessing primary healthcare between planning assessment and actual utilization for older adults: a case from Dalian City, China.

Introduction: As China has rapidly evolved into an aging society, the Chinese government has developed a community-oriented primary healthcare system to vigorously expedite the transfer of primary health care (PHC) from higher-level hospitals to community health centers (CHCs). However, current planning standards for CHCs have not considered the heterogeneity of older adults in supply-demand services, such that the areas with severe aging may comprise of underestimated levels of accessibility. Methods: This study focuses on the gap in PHC access between planning assessment and actual utilization for older adults. We conducted an empirical study in the city area of Dalian based on the check-in and survey data from CHCs during the COVID-19 pandemic. A comparison model was built to calculate matching probability using a modified Gaussian Two-Step Floating Catchment Area (G2SFCA) method. Results: As indicated by the results, the communities in the primary healthcare shortage area (PHCSA) increased 6.8% by considering the heterogeneity of older adults; these communities with underserved PHC were ignored by the current planning assessment. Based on the comparison of actual and theoretical accessibility for older adults, we found that the average matching probability was about 76.6%, which means approximately a quarter of older adults have been misestimated the accessibility of PHC. Discussion: Further analysis for the older adults with mismatched accessibility showed two causes of the gap, one is the lack of connection between the spatial distribution of facilities and the allocation of service supply, and the other is the subjective cross-catchment visit to CHCs for older adults.

Dynamic evolution of policy mix in response to COVID-19: Practice from China.

COVID-19 is a global pandemic. In response to this unprecedented crisis, Chinese government formulated a series of policies. This research is dedicated to exploring the dynamic evolution of China's policy mix in response to COVID-19 in different crisis response stages from a network perspective. First, a three-dimensional analysis framework of "policy subject-policy target-policy instrument" was developed. Then, based on the data sets collected by textual analysis, the dynamic evolution of policy subject, policy target, policy instrument in China's policy mix in response to COVID-19 was discussed by using the method of SNA. This study concluded that the core policy subject, policy instrument, and policy target of China's response to COVID-19 changed with time. National Health Commission (NHC), Ministry of Finance (MOF), Ministry of Transport (MOT) and Ministry of Human Resources and Social Security (MHRSS) have important influences in the network of policy subjects. Other subjects are more at the edge of the network, and there are few joint issuances among policy subjects. The study also found that the core policy target was adjusted over time, with phased dynamic characteristics. At the initial stage of China's response to COVID-19, "reduce infection and mortality" and "steadily carry out economic and social work" were the core policy targets. With the COVID-19 under control, "enterprise development and work resumption" becomes a new core policy target. In addition, this study also revealed the dynamic evolution and unbalanced use of China's policy instruments in response to COVID-19 in different stages. The combination of policy instruments is mainly composed of "mandatory administration instruments" and "economic incentive instruments", and supplemented by "health promotion instruments" and "voluntary plan instruments". These findings may enrich the literature on COVID-19 policy to help researchers understand the dynamics of policy from a network perspective. Moreover, these findings may provide several valuable implications for policymakers and other countries to formulate more effective policies for epidemic response.

[Survey on the awareness rate of nutrition and health knowledge among residents aged 18-64 in Shanghai in 2021].

OBJECTIVE: To analyze the nutrition and health knowledge of residents aged 18-64 in Shanghai, and to understand the level of nutrition and health knowledge and its influencing factors. METHODS: The total of 6518 residents aged 18-64 years old in Shanghai were selected by stratified random sampling in 2021. The subjects were grouped by gender, age, education levels, occupations, and regions. The awareness rate of nutrition and health knowledge and its influencing factors were investigated using the questionnaire and scoring standard designed by National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention. Household survey, face-to-face questioning by surveyors and help to fill in the options. RESULTS: The score of nutrition and health knowledge of residents aged 18-64 in Shanghai was 68.43±12.82, and the awareness rate was 35.78%. The average score(t=-5.04, P<0.01) and awareness rate(χ~2=14.06, P<0.01) of women were significantly higher than men. Significant differences in average scores and awareness rates were found among different groups of ages(F=15.02, P<0.01;χ~2=23.46, P<0.01), education levels(F=191.45, P<0.01;χ~2=210.29, P<0.01), occupations(F=99.17, P<0.01;χ~2=224.12, P<0.01) and regions(F=22.11, P<0.01;χ~2=44.61, P<0.01). The female(OR=1.13, 95%CI 1.02-1.25), high school education and above(OR=1.68-2.85) had better knowledge of nutrition and health. While 18-34 years(OR=0.69-0.74), people engaged in non-medical health institutions(OR=0.46-0.70) and living in non-urban central areas(OR=0.74-0.81) had poorer awareness of nutrition and health knowledge. CONCLUSION: The awareness rate of nutrition and health knowledge among residents aged 18-64 in Shanghai is still upside potential.

Spatial-temporal distribution and pedestrian exposure assessment of size-fractionated particles on crosswalk of urban intersection.

Vehicles tend to produce more pollutants especially particles at an urban intersection than other segments. Meanwhile, pedestrians at an intersection are inevitably exposed to high particle level and suffered from the health problem. Especially, some particles can deposit in different thoracic areas of the respiratory system and cause serious health problems. Hence, in this paper, the particles from 0.3 to 10 µm in 16 channels were measured to compare the spatio-temporal characteristics of them on the crosswalk and the roadside. Based on the roadside of fixed measurements, submicron particles (< 1 µm) are discovered to have a high relation with traffic signal and exhibit a bimodal distribution pattern in the green phase. On the crosswalk of mobile measurements, submicron particles present decreasing trend along the crosswalk while crossing. Additionally, mobile measurements were conducted across six time intervals that correspond to different pedestrian's journey when passing the crosswalk. The results showed that all size particles in the first three journeys present high concentrations than that in other journeys. Furthermore, pedestrian exposure to all 16 channel particles was assessed. The total and regional deposition fractions of these particles in different sizes and age groups are determined. What ought to be paid attention to is that these real-world measurement results contribute to advancing the understanding of pedestrian exposure to size-fractionated particles on crosswalk and assisting the pedestrian to make better informed choice so as to limit particle exposure in these pollution hotspots.

Risk factors associated with length of hospital stay and medical expenses in pulmonary abscess patients: retrospective study.

Background: Pulmonary abscess carries a high mortality and requires long-term managements. A better understanding of the risk factors associated with the prolonged hospital stay and high medical expenses in these patients can improve the management strategy in individual patient and optimize the overall healthcare resources. Methods: We performed a retrospective study and reviewed the medical records on consecutive patients hospitalized at the Department of Respiratory Medicine of the General Hospital of Northern Theater Command, Shenyang, Liaoning, China, between January 1, 2015, and December 31, 2020. Demographics, comorbidity, clinical symptoms, laboratory tests, length of hospital stay, and medical expenses were recorded. Their relationships with the length of hospital stay and medical expenses in pulmonary abscess patients were analyzed. Results: There were 190 patients with the pulmonary abscess and 12,189 patients without the pulmonary abscess. Compared with patients without the pulmonary abscess, patients with the pulmonary abscess had longer hospital stays (21.8 ± SD vs 12.8 ± SD, P < 0.01), In patients with the pulmonary abscess, the mean length of hospital stay was 5.3 days longer in male vs female patients (P = 0.025). Multivariate linear regression analyses showed that extrapulmonary disease and clinical symptoms were associated with the length of hospital stay and medical expenses, respectively. In addition, anemia was associated with both the length of hospital stay and medical expenses. Sex and hypoproteinemia were associated with the medical expenses. Conclusions: The mean length of hospital stay was longer in patients with the pulmonary abscess than those without the pulmonary abscess. The length of hospital stay and medical expense were associated with sex, clinical symptoms, extrapulmonary disease, and abnormal laboratory tests in patients with the pulmonary abscess.

Assessment of Drug Susceptibility for Patient-Derived Tumor Models through Lactate Biosensing and Machine Learning.

A patient-derived tumor model (PDM) is a practical tool to rapidly screen chemotherapeutics for individual patients. The evaluation method of cell viability directly determines the application of PDMs for drug susceptibility testing. As one of the metabolites of "glycosis", the lactate content was used to evaluate cell viability, but these assays were not specific for tumor cells. Based on the "Warburg effect", wherein tumor cells preferentially rely on "aerobic glycolysis" to produce lactate instead of pyruvate in "anaerobic glycolysis" of normal cells, we reported a gold lactate sensor (GLS) to estimate the cell viability of PDMs in drug susceptibility testing. It demonstrated high consistency between the GLS and commercial cell viability assay. Unlike either imaging or cell viability assay, the GLS characterizes the cell viability, enables dynamic monitoring, and distinguishes tumor cells from other cells. Moreover, machine learning (ML) was employed to perform a multi-index assessment for drug susceptibility of PDMs, which proved to be accurate and practical for clinical application. Therefore, the GLS provides an ideal drug susceptibility testing tool for individualized medicine.

Cost-Efficient Production of the Sphingan WL Gum by Sphingomonas sp. WG Using Molasses and Sucrose as the Carbon Sources.

The polysaccharide WL gum is produced by the marine microorganism Sphingomonas sp. WG and presents great commercial utility potential in many industries especially in oil industries. However, the high fermentation cost limits its wide application. Therefore, an efficient production system at a lower cost was established using beet molasses to partially replace the commonly used carbon sources. Four different molasses were screened and their composition was investigated. One-factor design and RSM statistical analysis were employed to optimize the WL gum fermentation medium. The effects of molasses on the rheological properties and gene expression of WL gum were also investigated. The results showed that the pretreated beet molasses generated both high broth viscosity and WL gum production (12.94 Pa·s and 11.16 g/L). Heavy metal ions and ash were found to be the key factors in unpretreated and pretreated molasses affecting WL production. The cost-efficient production medium contained (g/L): sucrose 61.79, molasses 9.95, yeast extract 1.23, K2HPO4 1, MgSO4 0.1, ZnSO4 0.1 and the WL gum production reached 40.25 ± 1.15 g/L. The WL gum product WL-molasses showed the higher apparent viscosity, and viscous modulus and elastic modulus than WL-sucrose and WL-mix, which might be related to its highest molecular mass. The higher expressional level of genes such as pgm, ugp, ugd, rmlA, welS, and welG in WL gum synthesis in the mixed carbon source medium caused the high production and broth viscosity. This work provided a cost-efficient method for WL gum production.

Corrigendum: A comparative study for accessing primary healthcare between planning assessment and actual utilization for older adults: a case from Dalian City, China.

[This corrects the article DOI: 10.3389/fpubh.2023.1207098.].

Sensor-Based Assessment of Social Isolation and Loneliness in Older Adults: A Survey.

Social isolation (SI) and loneliness are 'invisible enemies'. They affect older people's health and quality of life and have significant impact on aged care resources. While in-person screening tools for SI and loneliness exist, staff shortages and psycho-social challenges fed by stereotypes are significant barriers to their implementation in routine care. Autonomous sensor-based approaches can be used to overcome these challenges by enabling unobtrusive and privacy-preserving assessments of SI and loneliness. This paper presents a comprehensive overview of sensor-based tools to assess social isolation and loneliness through a structured critical review of the relevant literature. The aim of this survey is to identify, categorise, and synthesise studies in which sensing technologies have been used to measure activity and behavioural markers of SI and loneliness in older adults. This survey identified a number of feasibility studies using ambient sensors for measuring SI and loneliness activity markers. Time spent out of home and time spent in different parts of the home were found to show strong associations with SI and loneliness scores derived from standard instruments. This survey found a lack of long-term, in-depth studies in this area with older populations. Specifically, research gaps on the use of wearable and smart phone sensors in this population were identified, including the need for co-design that is important for effective adoption and practical implementation of sensor-based SI and loneliness assessment in older adults.

Value of texture analysis based on dynamic contrast-enhanced magnetic resonance imaging in preoperative assessment of extramural venous invasion in rectal cancer.

OBJECTIVE: Accurate preoperative assessment of extramural vascular invasion (EMVI) is critical for the treatment and prognosis of rectal cancer. The aim of our research was to develop an assessment model by texture analysis for preoperative prediction of EMVI. MATERIALS AND METHODS: This study enrolled 44 rectal patients as train cohort, 7 patients as validation cohort and 18 patients as test cohort. A total of 236 texture features from DCE MR imaging quantitative parameters were extracted for each patient (59 features of Ktrans, Kep, Ve and Vp), and key features were selected by least absolute shrinkage and selection operator regression (LASSO). Finally, clinical independent risk factors, conventional MRI assessment, and T-score were incorporated to construct an assessment model using multivariable logistic regression. RESULTS: The T-score calculated using the 4 selected key features were significantly correlated with EMVI (p < 0.010). The area under the receiver operating characteristic curve (AUC) was 0.797 for discriminating between EMVI-positive and EMVI-negative patients with a sensitivity of 88.2% and specificity of 70.4%. The conventional MRI assessment of EMVI had a sensitivity of 23.53% and a specificity of 96.30%. The assessment model showed a greatly improved performance with an AUC of 0.954 (sensitivity, 88.2%; specificity, 92.6%) in train cohort, 0.833 (sensitivity, 66.7%; specificity, 100%) in validation cohort and 0.877 in test cohort, respectively. CONCLUSIONS: The assessment model showed an excellent performance in preoperative assessment of EMVI. It demonstrates strong potential for improving the accuracy of EMVI assessment and provide a reliable basis for individualized treatment decisions.

The role of individual service and team-based service price in the online environment: A view from the price difference.

Different from the traditional medical market, the online medical market allows physicians considerable discretion in setting prices of their services, which is beginning to be paid close attention to. Physicians face a challenge with the introduction of various service styles. Guided by transaction utility theory and price fairness, this study aims to investigate the influence of pricing strategy on service demands from the price difference perspective by focusing on two typical service models: individual service and team-based service. Moreover, team characteristics (response speed and team size) are also considered. The data collection was done in March 2018 and repeated in May 2018, and physicians who provide both individual service and team-based services are included in our study. Finally, a dataset consisting of 1,100 teams with 1,100 physician leaders from 14 departments such as obstetrics and gynecology department were collected from an online medical platform in China. Empirical results support most of our hypotheses. A negative influence of team-based price was observed. As a substitute service, a higher individual service price will make patients turn to team-based service. Moreover, individual service prices negatively moderated the relationship between team-based service prices and demands. By calculating the price difference between the individual service price and the team-based service price, we found a negative role of the price difference affecting patient purchase decisions. Although we did not find a significant effect of team size, a quick response can attract more patients. Price fairness provides a proper framework for understanding pricing strategy in individual and team-based service in an online environment. Understanding the effects of prices from a price difference perspective has both theoretical and practical contributions. Specifically, this study contributes to knowledge on price fairness, online medical platforms, and virtual teams, and provides management suggestions.

Assessment of malalignment factors related to the Invisalign treatment time aided by automated imaging processes.

OBJECTIVES: To identify predictors regarding the type and severity of malocclusion that affect total Invisalign treatment duration based on an intraoral digital scan. MATERIALS AND METHODS: The subjects of this retrospective clinical cohort were 116 patients treated with Invisalign. A deep learning method was used for automated tooth segmentation and landmark identification of the initial and final digital models. The changes in the six degrees of freedom (DOF), representing types of malalignment, were measured. Linear regression was performed to find the contributing factors associated with treatment time. In addition, the Peer Assessment Rating (PAR) score and a composite score combining 6 DOF were correlated separately to the treatment time. RESULTS: The number of trays differed between sexes (P = .0015). The absolute maximum torque was marginally associated with the total number of trays (P = .0518), while the rest of the orthodontic tooth movement showed no correlation. The composite score showed a higher correlation with the total number of trays (P = .0045) than did individual tooth movement. Pretreatment upper and lower anterior segment PAR scores were positively associated with the treatment time (P < .001). CONCLUSIONS: There is not enough evidence to conclude that certain types of tooth movement affect the total aligner treatment time. A composite score seems to be a better predictor for total treatment time than do individual malalignment factors in aligner treatment. Upper and lower anterior malalignment factors have a significant effect on the treatment duration.

Intended and unintended impacts of the comprehensive reform of urban public hospitals: A mixed-method study in Hangzhou, China.

Objectives: Public hospital reform is a key area in the Chinese healthcare system reform with the aim of controlling excessive growth of medical expenditures. This study aims to evaluate the impacts of two rounds of urban public hospital reforms respectively starting in 2018 and 2019. Method: A mixed-method method was conducted in Hangzhou. In the quantitative phase, monthly data covering 7 provincial, 12 municipal, and 35 district hospitals from March 2017 to June 2020 was analyzed using a panel-interrupted time-series. Thematic content analysis was conducted using qualitative data collected from 32 in-depth interviews. Results: Quantitative data showed a considerable reduction in the proportion of drug revenue (provincial hospitals: -4.937%; municipal hospitals: -2.765%; district hospitals: -2.189%) and an increase in the proportion of consumable (provincial hospitals: ß 2 = 2.025; municipal hospitals: ß 3 = 0.206) and examinations (provincial hospitals: ß 2 = 1.354, ß 3=0.159; municipal hospitals: ß 2 = 1.179) revenue after the first reform. In post-reform 2, The respective instant decrease and increase in the proportion of consumable (provincial hospitals: -2.395%; municipal hospitals: -0.898%) and medical services (provincial hospitals: 2.115%; municipal hospitals: -2.604%) revenue were observed. Additionally, quantitative and qualitative data indicated inpatient expenditures dropped considerably after the reform. However, insufficient compensation for medical services and increased financial pressure on hospitals were repeatedly mentioned as unintended consequences in qualitative interviews. Conclusions: Overall, the urban public hospital reforms in China created positive effects in adjusting hospital revenue structure and constraining soaring medical expenditures. Unintended consequences remind policymakers to establish rational and dynamic compensation mechanisms for public hospitals.

Impacts of a New Episode-Based Payment Scheme on Volume, Expenditures, and Efficiency in Public Hospitals: A Quasi-Experimental Interrupted Time-Series Study in Jinhua, China.

Purpose: Based on the diagnosis-related groups payment, China developed an innovative episode-based payment scheme, called "payment method by disease types with point counting", to control health expenditures inflation. This study aimed to investigate the impacts of this new payment method on volume, expenditures, and efficiency in Chinese public hospitals. Methods: The study sample consisted of 7 tertiary hospitals and 14 secondary hospitals in Jinhua (intervention group) and 4 tertiary hospitals and 14 secondary hospitals in Taizhou (control group). Monthly data points were collected for each sampled hospital from June 2016 to June 2019 using a self-administered questionnaire with impact evaluation indicators. Controlled interrupted time-series analysis was employed to estimate the effect of the new payment method. Results: The significant slowing trends in inpatient expenditures per visit (tertiary hospitals: ß7=-123.16, p=0.042; secondary hospitals: ß7=-89.24, p=0.021) and out-of-pocket payments (tertiary hospitals: ß7=-4.18, p=0.027; secondary hospitals: ß7=-4.87, p=0.019) were observed after policy intervention. However, outpatient expenditures per visit in tertiary (ß7=1.67, p=0.018) and secondary hospitals (ß7=1.24, p=0.003) rose faster with the new payment method. Additionally, payment reform also caused an increase in the number of inpatient visits (ß7=100.01, p=0.038) and reduced the length of stay (ß7=-0.10, p=0.036) in tertiary hospitals. Conclusion: The introduction of payment method by disease types with point counting causes the cost containment for inpatient care, whereas the increase in outpatient expenditures. The findings suggest this new payment scheme has the potential for rollout in other areas, but the cost-shifting from the inpatient to outpatient setting should be prevented.