With the accelerating trend of population aging, the number of elderly patients with lung cancer continues to rise, and the disease burden is becoming increasingly heavy. The clinical management of these patients faces severe challenges due to their decreased physiological reserve, complex comorbidities, and significant individual heterogeneity. Consequently, under traditional diagnosis and treatment models, doctors often struggle to identify the individualized risks of elderly patients in a timely and comprehensive manner, which can easily lead to decision biases such as undertreatment or overtreatment. In view of this, this study advocates for the establishment of an umbrella decision-making model specifically tailored for elderly lung cancer patients. Grounded in a multidisciplinary team (MDT) platform, this model deeply integrates oncological indicators with the comprehensive geriatric assessment (CGA) system. By holistically considering multidimensional variables including tumor burden, organ function, frailty index, cognitive status, and social support, the model establishes an operational mechanism characterized by "single entry, precise stratification, and targeted selection". Accordingly, patients can be scientifically triaged into distinct intervention tiers, such as active surveillance, minimally invasive surgery, drug therapy, radiotherapy, and best supportive care, thereby achieving real-time alignment between treatment intensity and patient fitness. This article elaborates on the construction logic and key operational procedures of this novel decision-making framework, aiming to guide clinical practice beyond the limitations of a tumor-centric perspective toward a holistic, dynamic, whole-course management strategy. This transition seeks to ensure optimal quality of life and clinical net benefit for elderly patients alongside survival prolongation.

Objective By analyzing the causes of coding errors of lower extremity arteriosclerosis occlusion with throm-bosis and the endovascular intervention,explore the principle diagnosis and intervention coding rules to improve coding quality.Methods Inpatient medical records with the principle diagnosis codes of I70-I74 and I77 accompanied by endovascular interven-tional from January 1,2023 to December 31,2023 were retrieved from a tertiary hospital.A retrospective study was conducted to analyze the causes of coding errors.Results A total of 924 eligible cases were selected.There were 41 principle diagnosis cod-ing errors,with an error rate of 4.43％,among which the lower limb atherosclerosis coding had the highest error rate,accounting for 1.30％.There were 46 intervention coding errors,with an error rate of 4.98％,among which the percutaneous thrombectomy had the highest error rate.The main reason for coding errors was insufficient reading of medical record.Conclusion The coding error rate of the principle diagnosis of lower extremity arteriosclerosis occlusion and the endovascular intervention were relatively high.Therefore,it is necessary to continuously strengthen the training of clinicians and coders,including the coding rules and clinical knowledge of specialized disciplines,actively communicate between coders and clinicians,establish a quality control and assessment system,so as to improve the coding quality.

Objective By analyzing the causes of coding errors of lower extremity arteriosclerosis occlusion with throm-bosis and the endovascular intervention,explore the principle diagnosis and intervention coding rules to improve coding quality.Methods Inpatient medical records with the principle diagnosis codes of I70-I74 and I77 accompanied by endovascular interven-tional from January 1,2023 to December 31,2023 were retrieved from a tertiary hospital.A retrospective study was conducted to analyze the causes of coding errors.Results A total of 924 eligible cases were selected.There were 41 principle diagnosis cod-ing errors,with an error rate of 4.43％,among which the lower limb atherosclerosis coding had the highest error rate,accounting for 1.30％.There were 46 intervention coding errors,with an error rate of 4.98％,among which the percutaneous thrombectomy had the highest error rate.The main reason for coding errors was insufficient reading of medical record.Conclusion The coding error rate of the principle diagnosis of lower extremity arteriosclerosis occlusion and the endovascular intervention were relatively high.Therefore,it is necessary to continuously strengthen the training of clinicians and coders,including the coding rules and clinical knowledge of specialized disciplines,actively communicate between coders and clinicians,establish a quality control and assessment system,so as to improve the coding quality.

Objective In order to reasonably reduce QY group and improve the accuracy of DRG,we analyzed the data of QY(ambiguity)group in the Diagnosis Related Groups in urology department of a three A and tertiary hospital.Methods Medical insurance settlement statements of urology department of a hospital in the DRG sub-platform of a municipal medical insur-ance bureau were collected from April 1,2022 to November 30,2022,extracting QY cases.The medical records of QY cases were extracted from the digital medical record browser of a hospital.Senior quality control physicians were organized to check medical records,disease classification and medical insurance settlement statements of QY group cases,analyzing the cases.Excel 2010 was used for statistical analysis of the data.Results ① 2 810 copies of medical insurance settlement statements were obtained,of which 43 cases were in the QY groups,accounting for 1.53％.②The cases mainly distributed in urinary system tumors(27.91％),neurogenic bladder(18.60％),prostatic hyperplasia(16.28％),ureteral diseases(11.62％),and ure-thral diseases(11.62％).(3)The total hospitalization cost of patients in QY groups was 731 684.1 yuan,and the average hospi-talization cost was 17 015.91 yuan.The total payment amount of DRG was 419 807.24 yuan,and the average payment amount was 9 762.96 yuan.④The causes of QY groups were as follows:There were 14 cases of DRG grouping rule defect,accounting for 32.56％;There were 29 cases of hospital management defects,accounting for 67.44％.Among the hospital management de-fects,13 cases(30.23％)of the medical insurance settlement statements were defective;There were 8 cases(18.60％)of er-rors in doctors'major diagnoses and major surgical operations.There were 8 cases(18.60％)of coding errors in major diagno-ses and major surgical operations.Conclusion To reasonable reduction QY group,it is necessary to optimize DRG grouping rules and strengthen hospital internal management.Only by paying attention to improve the connotation quality of medical re-cords,accurately classify disease and surgical name,strengthen the management and review of medical insurance settlement state-ments,and establish a long-term mechanism for DRG data quality control,we can further improve the accuracy of DRG and ac-tively promote the reform of medical insurance payment.

Performance appraisal of public hospitals have given a guidance for the development of public hospitals at all levels.A Class A tertiary hospital reviewed the problems in the development of the hospital at the present stage and focused on the following four aspects:①insufficient fine management;②No clear orientation of discipline development;③The bottleneck of the improvement of medical operation efficiency;④New challenges in the reform of payment mode.The tertiary hospital launched a fine management practice in May 2022,in order to solve the problems by taking the Department of Surgery as a pilot area,laying the foundation for fine management through information system construction,improving the efficiency of medical operation through management process optimization,improving the overall competitiveness of disciplines through the construction of sub-specialty and Discipline Alliance and adjusting the performance appraisal index system to play the role of performance incentives.The measures effectively improve the overall capacity and efficiency of hospital medical services and help the hospital to achieve high-quality development.

BackgroundThe issue of depression among adolescents is becoming increasingly serious， seriously endangering their healthy development. The issue of sleep disturbances in adolescents with depressive disorder is gradually receiving attention， but there is currently a lack of research on the relationship between sleep quality and suicide risk in this patient population. ObjectiveTo explore the relationship between suicide risk and sleep quality in adolescents with depressive disorders， and analyze the influencing factors of suicide risk， so as to provide references for clinical intervention. MethodsA total of 101 adolescents patients who met the diagnostic criteria for depressive disorder in the International Classification of Diseases， 10th edition （ICD-10） and were hospitalized at Hefei Fourth People's Hospital from June 2020 to February 2023 were selected. The patients were evaluated using the Nurses' Global Assessment of Suicide Risk （NGASR） and Pittsburgh Sleep Quality Index （PSQI）. According to the NGASR score， patients were divided into severe suicide risk group （n=35） and non-severe suicide risk group （n=66）. Pearson correlation analysis was used to examine the correlation between sleep quality and suicide risk in adolescents with depression. Multiple Logistic regression was used to analyze the influencing factors of severe suicide risk in adolescent patients with depression. ResultsStatistically significant differences were found between the two groups in terms of academic pressure， peer relationship and family relationship （t=3.942， 4.378， 6.748， P<0.05）. Moreover， there was a statistically significant difference in PSQI score between two groups （t=7.398， P<0.05）. There was also a statistically significant difference in sleep quality between the two groups （χ²=4.986， P<0.05）. Pearson correlation analysis showed a positive correlation between total PSQI score and NGASR score （r=0.698， P<0.05）. Severe depression （OR=1.628， 95% CI： 1.079~2.457）， high academic pressure （OR=1.118， 95% CI： 1.018~1.228） and poor sleep quality （OR=1.158， 95% CI： 1.033~1.297） were identified as risk factors of severe suicide risk， while good relationships with classmates （OR=0.908， 95% CI： 0.826~0.998） and family （OR=0.904， 95% CI： 0.823~0.993） were protective factors. ConclusionSleep quality in adolescents with depression is negatively correlated with suicide risk and poor sleep quality may be a risk factor for severe suicide risk.

Objective To analyze the basic characteristics of 1885 inpatients with rare diseases in a 3A hospital from January 1 to December 31,2023,so as to provide reference for the management of diagnosis and treatment of rare diseases and the formulation of policies.Methods Based on the medical record homepage data of rare disease inpatients in a tertiary hospital in 2023,analyze the basic characteristics and hospitalization cost structure of rare disease inpatients.Results The hospital ad-mitted 1 885 inpatients with rare diseases in 2023,accounting for 0.81％of the total number of discharged patients,with a male-to-female ratio close to 1:1.Patients aged over 60 accounted for 45.57％,followed by patients aged 45-59(26.47％),patients aged 19-44(20.9％)ranked third,and patients under 18 accounted for less.Rare diseases cover 11 disease classification sys-tems and including 80 diseases,which accounts for 38.65％of the rare diseases in the catalogue.The top ten diseases accounted for 70.56％of the total number of patients,and the top three diseases were progressive fibrosing interstitial lung disease,idio-pathic pulmonary fibrosis and primary biliary cholangitis.Patients under 1 year old accounted for 0.08％,patients aged 2-18 years accounted for 5.19％,patients aged 19-44 years accounted for 19.55％,patients aged 45-59 years accounted for 26.62％,and patients over 60 years old accounted for 48.57％.There was a large difference in the male-female ratio in four diseases:idio-pathic pulmonary fibrosis,amyotrophic lateral sclerosis,Takayasu's arteritis,and primary biliary cholangitis.From the perspec-tive of cost structure,the top ten rare diseases account for a high proportion of diagnosis fees,medicine fees and consumables fees.Conclusion Patients account for a high proportion of rare disease inpatients in the hospital and have a wide coverage of disease types.The overall male-female ratio of patients with rare diseases is similar,but the characteristics of the diseases are dif-ferent.The characteristics of rare diseases determine the structural characteristics of hospitalization expenses.Hospitals should improve the discipline construction and provide more resources for the diagnosis and treatment of rare diseases.To make guide-lines for the diagnosis and treatment of rare diseases and strengthen the training of doctors,so as to realize the early diagnosis and treatment of rare diseases.The state should continue to promote access to medication for rare diseases.

Objective To analyze the basic characteristics of 1885 inpatients with rare diseases in a 3A hospital from January 1 to December 31,2023,so as to provide reference for the management of diagnosis and treatment of rare diseases and the formulation of policies.Methods Based on the medical record homepage data of rare disease inpatients in a tertiary hospital in 2023,analyze the basic characteristics and hospitalization cost structure of rare disease inpatients.Results The hospital ad-mitted 1 885 inpatients with rare diseases in 2023,accounting for 0.81％of the total number of discharged patients,with a male-to-female ratio close to 1:1.Patients aged over 60 accounted for 45.57％,followed by patients aged 45-59(26.47％),patients aged 19-44(20.9％)ranked third,and patients under 18 accounted for less.Rare diseases cover 11 disease classification sys-tems and including 80 diseases,which accounts for 38.65％of the rare diseases in the catalogue.The top ten diseases accounted for 70.56％of the total number of patients,and the top three diseases were progressive fibrosing interstitial lung disease,idio-pathic pulmonary fibrosis and primary biliary cholangitis.Patients under 1 year old accounted for 0.08％,patients aged 2-18 years accounted for 5.19％,patients aged 19-44 years accounted for 19.55％,patients aged 45-59 years accounted for 26.62％,and patients over 60 years old accounted for 48.57％.There was a large difference in the male-female ratio in four diseases:idio-pathic pulmonary fibrosis,amyotrophic lateral sclerosis,Takayasu's arteritis,and primary biliary cholangitis.From the perspec-tive of cost structure,the top ten rare diseases account for a high proportion of diagnosis fees,medicine fees and consumables fees.Conclusion Patients account for a high proportion of rare disease inpatients in the hospital and have a wide coverage of disease types.The overall male-female ratio of patients with rare diseases is similar,but the characteristics of the diseases are dif-ferent.The characteristics of rare diseases determine the structural characteristics of hospitalization expenses.Hospitals should improve the discipline construction and provide more resources for the diagnosis and treatment of rare diseases.To make guide-lines for the diagnosis and treatment of rare diseases and strengthen the training of doctors,so as to realize the early diagnosis and treatment of rare diseases.The state should continue to promote access to medication for rare diseases.

The umbrella trial has received increasing attention in the design of clinical trials for oncology drugs in recent years. This trial design categorizes a single disease into multiple sub-types based on predictive biomarkers or other predictive factors, and simultaneously evaluates the efficacy of multiple targeted therapies. When compared with the traditional drug development model of phase Ⅰ, phaseⅡ, and phase Ⅲ randomized controlled trials, umbrella trials are a more scientifically rigorous trial design that can speed up drug evaluation to address the conflict between numerous untested drugs and diseases with a lack of effective treatment options. This article will focus on the concept, main characteristics, eligibility criteria, design and statistical considerations, ethical considerations, and future directions of umbrella trials, with the aim of providing methodological guidance for the design of clinical trials for oncology drugs.

Objective:To explore the current situation of nursing human caring in hospital wards and analyze its influencing factors, so as to facilitate the development of nursing human caring practice.Methods:From July to November 2022, a total of 107 hospitals were surveyed through stratified convenience sampling method, and 4 072 ward nursing managers were recruited to finish the general information questionnaire and the ward nursing human caring status questionnaire. The general information included the region, class and type of the hospital, etc. The ward nursing human caring status questionnaire included 38 items in 5 dimensions of nursing human caring system and process, humanistic quality and training of nursing staff, humanistic environment and facilities, human caring procedures and measures, and human caring quality evaluation and improvement, with a full score of 190 points. Descriptive statistics were used to analyze the general data, independent samples t-test, ANOVA and correlation analysis were used to analyze the factors influencing the current status of nursing human caring in the ward, while multiple linear regression analysis was used to conduct a multivariate analysis. Results:The score of nursing human caring in hospital wards was 156.91±27.78. Whether the hospital had carried out nursing human caring pilot(demonstration) wards, whether the ward had previously been a hospital nursing human caring pilot(demonstration) nursing unit, the type of ward, and whether nursing managers had participated in human caring training were the influencing factors of the implication of nursing humanistic caring in wards( P<0.05). Conclusions:The practice of nursing human caring in hospital wards is at a good level, but needs to be further strengthened. Nursing managers should take systematically strategies to promote the development of nursing human caring practice.