Background In the context of the innovation-driven development strategy, occupational groups are facing increasing work pressure, and its impact on sleep quality and mental health deserves attention. Objective To explore potential mediating role of sleep quality between work stress and mental health status among occupational workers, and to provide a scientific basis for improving their mental health status. Methods Cluster sampling was used to select 2000 workers in Urumqi, Xinjiang Uygur Autonomous Region. They were divided into mental and physical worker groups according to their occupational types, and a questionnaire survey was conducted using General Information Survey Forms, Effort Reward Imbalance scale (ERI), Pittsburgh Sleep Quality Index (PSQI), and Symptom Check List-90 (SCL-90). Work stress level, sleep quality, and mental health were assessed and compared between mental and physical workers. Structural equation modelling was used to evaluate the relationship among work stress, sleep quality and mental health of the workers, and to explore the mediating effect of sleep quality. Results A total of 1979 survey questionnaires were collected, with a response rate of 99%, including 1500 (75.8%) mental workers and 479 (24.2%) physical workers. Linear correlations were confirmed between work stress, mental health, and sleep quality. The correlations of work stress with mental health and sleep quality scale scores were positive for both mental and physical workers (r=0.32, 0.31, P<0.01; r=0.25, 0.25, P<0.01), and sleep quality was also positively correlated with mental health (r=0.47, 0.56, P<0.01) . The final modified structural equation model showed that the coefficients of work stress on sleep quality for the mental and physical workers were 0.56 and 0.46 (P<0.001) respectively, and the coefficients of sleep quality on mental health were 0.52 and 0.80 (P<0.001) respectively. Sleep quality mediated the impact of work stress on mental health of the mental and physical workers, with mediating effect values of 0.29 and 0.37 respectively. The adaptability of both structural equation models is less than 3. Conclusion Occupational population's work stress and mental health may be mediated by sleep quality, and measures should be taken to reduce work stress and improve sleep quality and mental health.

Objective:To guide cost control and the development of orthopedic specialty services in actual payment by thoroughly analyzing the functioning of DRG simulation in the pediatric orthopedic department of the Capital Institute of Pediatrics.Methods:A total of 736 patients from the orthopedic ward of the Capital Institute of Pediatrics were included as study subjects.The four-quadrant grouping method was employed to examine the profitability status of each diagnosis group in detail.A logistic regression model explored the key factors influencing profitability.Results:Congenital illnesses and traumas account for most pediatric orthopedic cases.Benefit groups(2 groups,4.8％),disadvantageous groups(15 groups,35.7％),key groups(8 groups,19.0％),and potential groups(17 groups,40.5％)are found using the Boston Matrix analysis.The profit group depends on the benefit groups(IF19,IH15)for 67.7％of its total revenue.No matter how profitable they are,medical consumables comprise a sizable portion(43％-45％).According to regression analysis,hospital profitability is highly impacted by age,consumable ratio,examination cost ratio,surgery cost ratio,and other cost ratios(P＜0.05).The consumable ratio is the most significant negative predictor(β=-2.238).Conclusion:Hospitals need to optimize their cost structure and increase the probability of profitability through refined management of consumables,the four-quadrant analysis method,strengthened cost accounting,and differentiated resource allocation.

Objective:To guide cost control and the development of orthopedic specialty services in actual payment by thoroughly analyzing the functioning of DRG simulation in the pediatric orthopedic department of the Capital Institute of Pediatrics.Methods:A total of 736 patients from the orthopedic ward of the Capital Institute of Pediatrics were included as study subjects.The four-quadrant grouping method was employed to examine the profitability status of each diagnosis group in detail.A logistic regression model explored the key factors influencing profitability.Results:Congenital illnesses and traumas account for most pediatric orthopedic cases.Benefit groups(2 groups,4.8％),disadvantageous groups(15 groups,35.7％),key groups(8 groups,19.0％),and potential groups(17 groups,40.5％)are found using the Boston Matrix analysis.The profit group depends on the benefit groups(IF19,IH15)for 67.7％of its total revenue.No matter how profitable they are,medical consumables comprise a sizable portion(43％-45％).According to regression analysis,hospital profitability is highly impacted by age,consumable ratio,examination cost ratio,surgery cost ratio,and other cost ratios(P＜0.05).The consumable ratio is the most significant negative predictor(β=-2.238).Conclusion:Hospitals need to optimize their cost structure and increase the probability of profitability through refined management of consumables,the four-quadrant analysis method,strengthened cost accounting,and differentiated resource allocation.

Objective:To guide cost control and the development of orthopedic specialty services in actual payment by thoroughly analyzing the functioning of DRG simulation in the pediatric orthopedic department of the Capital Institute of Pediatrics.Methods:A total of 736 patients from the orthopedic ward of the Capital Institute of Pediatrics were included as study subjects.The four-quadrant grouping method was employed to examine the profitability status of each diagnosis group in detail.A logistic regression model explored the key factors influencing profitability.Results:Congenital illnesses and traumas account for most pediatric orthopedic cases.Benefit groups(2 groups,4.8％),disadvantageous groups(15 groups,35.7％),key groups(8 groups,19.0％),and potential groups(17 groups,40.5％)are found using the Boston Matrix analysis.The profit group depends on the benefit groups(IF19,IH15)for 67.7％of its total revenue.No matter how profitable they are,medical consumables comprise a sizable portion(43％-45％).According to regression analysis,hospital profitability is highly impacted by age,consumable ratio,examination cost ratio,surgery cost ratio,and other cost ratios(P＜0.05).The consumable ratio is the most significant negative predictor(β=-2.238).Conclusion:Hospitals need to optimize their cost structure and increase the probability of profitability through refined management of consumables,the four-quadrant analysis method,strengthened cost accounting,and differentiated resource allocation.

Objective:To guide cost control and the development of orthopedic specialty services in actual payment by thoroughly analyzing the functioning of DRG simulation in the pediatric orthopedic department of the Capital Institute of Pediatrics.Methods:A total of 736 patients from the orthopedic ward of the Capital Institute of Pediatrics were included as study subjects.The four-quadrant grouping method was employed to examine the profitability status of each diagnosis group in detail.A logistic regression model explored the key factors influencing profitability.Results:Congenital illnesses and traumas account for most pediatric orthopedic cases.Benefit groups(2 groups,4.8％),disadvantageous groups(15 groups,35.7％),key groups(8 groups,19.0％),and potential groups(17 groups,40.5％)are found using the Boston Matrix analysis.The profit group depends on the benefit groups(IF19,IH15)for 67.7％of its total revenue.No matter how profitable they are,medical consumables comprise a sizable portion(43％-45％).According to regression analysis,hospital profitability is highly impacted by age,consumable ratio,examination cost ratio,surgery cost ratio,and other cost ratios(P＜0.05).The consumable ratio is the most significant negative predictor(β=-2.238).Conclusion:Hospitals need to optimize their cost structure and increase the probability of profitability through refined management of consumables,the four-quadrant analysis method,strengthened cost accounting,and differentiated resource allocation.

Objective:To guide cost control and the development of orthopedic specialty services in actual payment by thoroughly analyzing the functioning of DRG simulation in the pediatric orthopedic department of the Capital Institute of Pediatrics.Methods:A total of 736 patients from the orthopedic ward of the Capital Institute of Pediatrics were included as study subjects.The four-quadrant grouping method was employed to examine the profitability status of each diagnosis group in detail.A logistic regression model explored the key factors influencing profitability.Results:Congenital illnesses and traumas account for most pediatric orthopedic cases.Benefit groups(2 groups,4.8％),disadvantageous groups(15 groups,35.7％),key groups(8 groups,19.0％),and potential groups(17 groups,40.5％)are found using the Boston Matrix analysis.The profit group depends on the benefit groups(IF19,IH15)for 67.7％of its total revenue.No matter how profitable they are,medical consumables comprise a sizable portion(43％-45％).According to regression analysis,hospital profitability is highly impacted by age,consumable ratio,examination cost ratio,surgery cost ratio,and other cost ratios(P＜0.05).The consumable ratio is the most significant negative predictor(β=-2.238).Conclusion:Hospitals need to optimize their cost structure and increase the probability of profitability through refined management of consumables,the four-quadrant analysis method,strengthened cost accounting,and differentiated resource allocation.

Objective:To guide cost control and the development of orthopedic specialty services in actual payment by thoroughly analyzing the functioning of DRG simulation in the pediatric orthopedic department of the Capital Institute of Pediatrics.Methods:A total of 736 patients from the orthopedic ward of the Capital Institute of Pediatrics were included as study subjects.The four-quadrant grouping method was employed to examine the profitability status of each diagnosis group in detail.A logistic regression model explored the key factors influencing profitability.Results:Congenital illnesses and traumas account for most pediatric orthopedic cases.Benefit groups(2 groups,4.8％),disadvantageous groups(15 groups,35.7％),key groups(8 groups,19.0％),and potential groups(17 groups,40.5％)are found using the Boston Matrix analysis.The profit group depends on the benefit groups(IF19,IH15)for 67.7％of its total revenue.No matter how profitable they are,medical consumables comprise a sizable portion(43％-45％).According to regression analysis,hospital profitability is highly impacted by age,consumable ratio,examination cost ratio,surgery cost ratio,and other cost ratios(P＜0.05).The consumable ratio is the most significant negative predictor(β=-2.238).Conclusion:Hospitals need to optimize their cost structure and increase the probability of profitability through refined management of consumables,the four-quadrant analysis method,strengthened cost accounting,and differentiated resource allocation.

  Objective  The International Medical Services Department of Peking Union Medical College Hospital (PUMCH) has gradually promoted the concept and practice of palliative care since 2016. This study aims to analyze the death status of end-of-life patients before and after the promotion endeavor, in order to evaluate the impact of palliative care on the death quality.  Methods  All clinical data from end-of-life patients who died at the International Medical Services Department of PUMCH in 2013 and 2019 were retrospectively collected, and their diagnosis and treatment details before death were compared.  Results  A total of 36 end-of-life patients who died in 2013 and 37 end-of-life patients who died in 2019 met the inclusion and exclusion criteria. In 2013, there were 19 males and 17 females, with an average age of (72.1±14.0) years, and 19 cases had advanced cancer. In 2019, there were 19 males and 18 females, with an average age of (70.8±15.3) years, and 27 cases had advanced cancer. Compared to patients who died in 2013, a lower proportion of the patients in 2019 who were transferred to the ICU before death(0 vs. 22.2%, P=0.008), received cardiopulmonary resuscitation (0 vs. 16.7%, P=0.011), had tracheal intubation(5.4% vs. 36.1%, P=0.001), invasive mechanical ventilation(2.7% vs. 33.3%, P=0.001), and total parenteral nutrition(32.4% vs. 61.1%, P=0.014), while a higher proportion received palliative care consultations(29.7% vs. 0, P<0.001), and humanistic care(40.5% vs. 16.7%, P=0.024). In 2019, compared to the patients who did not receive palliative care consultations, those who received palliative care consultations had a higher proportion of humanistic care(90.9% vs. 19.2%, P<0.001).  Conclusions  After concept promotion and practice of palliative care, the proportion of end-of-life patients receiving invasive treatments before death in the International Medical Services Department of PUMCH has significantly decreased, the proportion receiving humanistic care has significantly increased, and the quality of death has been improved to a certain extent.

Objective:To guide cost control and the development of orthopedic specialty services in actual payment by thoroughly analyzing the functioning of DRG simulation in the pediatric orthopedic department of the Capital Institute of Pediatrics.Methods:A total of 736 patients from the orthopedic ward of the Capital Institute of Pediatrics were included as study subjects.The four-quadrant grouping method was employed to examine the profitability status of each diagnosis group in detail.A logistic regression model explored the key factors influencing profitability.Results:Congenital illnesses and traumas account for most pediatric orthopedic cases.Benefit groups(2 groups,4.8％),disadvantageous groups(15 groups,35.7％),key groups(8 groups,19.0％),and potential groups(17 groups,40.5％)are found using the Boston Matrix analysis.The profit group depends on the benefit groups(IF19,IH15)for 67.7％of its total revenue.No matter how profitable they are,medical consumables comprise a sizable portion(43％-45％).According to regression analysis,hospital profitability is highly impacted by age,consumable ratio,examination cost ratio,surgery cost ratio,and other cost ratios(P＜0.05).The consumable ratio is the most significant negative predictor(β=-2.238).Conclusion:Hospitals need to optimize their cost structure and increase the probability of profitability through refined management of consumables,the four-quadrant analysis method,strengthened cost accounting,and differentiated resource allocation.

Objective:To guide cost control and the development of orthopedic specialty services in actual payment by thoroughly analyzing the functioning of DRG simulation in the pediatric orthopedic department of the Capital Institute of Pediatrics.Methods:A total of 736 patients from the orthopedic ward of the Capital Institute of Pediatrics were included as study subjects.The four-quadrant grouping method was employed to examine the profitability status of each diagnosis group in detail.A logistic regression model explored the key factors influencing profitability.Results:Congenital illnesses and traumas account for most pediatric orthopedic cases.Benefit groups(2 groups,4.8％),disadvantageous groups(15 groups,35.7％),key groups(8 groups,19.0％),and potential groups(17 groups,40.5％)are found using the Boston Matrix analysis.The profit group depends on the benefit groups(IF19,IH15)for 67.7％of its total revenue.No matter how profitable they are,medical consumables comprise a sizable portion(43％-45％).According to regression analysis,hospital profitability is highly impacted by age,consumable ratio,examination cost ratio,surgery cost ratio,and other cost ratios(P＜0.05).The consumable ratio is the most significant negative predictor(β=-2.238).Conclusion:Hospitals need to optimize their cost structure and increase the probability of profitability through refined management of consumables,the four-quadrant analysis method,strengthened cost accounting,and differentiated resource allocation.