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.

Background Medical insurance payment lists are important evidence for health insurance settlement and the basis for reasonable DRG payments.However,there are currently many quality control defects that affect the correct DRG assign-ment and the reasonable payment of medical insurance funds.Methods This paper adopts a case analysis approach,combined with clinical knowledge,coding specifications,and mapping relationships,to analyze the quality defects of the current medical insurance payment lists in the hospital.Results This paper proposes refined management strategies and suggestions,including strengthening information construction,improving the professional level of quality control personnel,improving the data quality of the front-end medical record homepage,optimizing the mapping relationship of the dictionary library,carrying out clinical com-munication and training,and establishing a closed-loop quality control system for medical insurance payment lists.These strate-gies effectively improve the data quality of medical insurance payment lists and the accuracy of DRG assignment.Conclusion The management of medical insurance payment lists involves multiple links,departments,and technologies and needs continuous improvement to support hospital refined management.

BackgroundAs a high prevalence disorder， schizophrenia has caused significant burden to family and society due to the impairment of occupational and social function. Currently， the dominant vocational training model in China follows a paternalistic， clinician-led decision-making approach. Although it improves patients' social function to some extent， it undermines their autonomy and treatment adherence. Therefore， it is urgently necessary to explore a new intervention method to enhance treatment compliance and social function in patients. ObjectiveTo explore the impact of shared decision-making oriented vocational training on social function in hospitalized schizophrenia patients， so as to provide references for rehabilitation interventions. MethodsA total of 68 patients diagnosed with schizophrenia according to the International Classification of Diseases， tenth edition （ICD-10） criteria were consecutively enrolled from January to June 2024 at The Third People's Hospital of Wenjiang Distric， Chengdu. Participants were randomly allocated into the research group （n=34） and the control group （n=34） using a random number table method. Both groups received routine rehabilitation training， while the research group received shared decision-making oriented vocational training for 12 weeks， 2 times a week for 2 hours each time. Before and at the 4^th and 12^th week of intervention， two groups were evaluated by General Self-Efficacy Scale （GSES）， Stigma Scale for Mental Illness （SSMI）， Scale of Social function of Psychosis Inpatients （SSFPI） and Inpatient Psychiatric Rehabilitation Outcome Scale （IPROS）. ResultsA total of 63 participants completed the study， with 30 cases in the research group and 33 cases in the control group. Repeated measures ANOVA revealed statistically significant time effects and interaction effects in both groups for GSES， SSMI， SSFPI and IPROS scores （F=20.451， 16.022； 26.193， 12.944； 23.957， 5.023； 11.776， 3.985， P<0.05 or 0.01）， while no significant group effects were observed （F=0.188， 0.742， 1.878， 0.474， P>0.05）. At the 12^th week of intervention， there were statistically significant differences in GSES， SSMI， SSFPI and IPROS scores between the two groups. ConclusionShared decision-making oriented vocational training may help to improve social function in patients with schizophrenia. ［Funded by 2023 Chengdu Medical Research Project （number， 2023468）］

Background Medical insurance payment lists are important evidence for health insurance settlement and the basis for reasonable DRG payments.However,there are currently many quality control defects that affect the correct DRG assign-ment and the reasonable payment of medical insurance funds.Methods This paper adopts a case analysis approach,combined with clinical knowledge,coding specifications,and mapping relationships,to analyze the quality defects of the current medical insurance payment lists in the hospital.Results This paper proposes refined management strategies and suggestions,including strengthening information construction,improving the professional level of quality control personnel,improving the data quality of the front-end medical record homepage,optimizing the mapping relationship of the dictionary library,carrying out clinical com-munication and training,and establishing a closed-loop quality control system for medical insurance payment lists.These strate-gies effectively improve the data quality of medical insurance payment lists and the accuracy of DRG assignment.Conclusion The management of medical insurance payment lists involves multiple links,departments,and technologies and needs continuous improvement to support hospital refined management.

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.

Objective To analyze the coding quality of multiple primary malignant tumors in a tertiary hospital,identify existing problems,and improve the accuracy of coding for multiple primary malignant tumors.Methods We collected 393 medi-cal records from a tertiary hospital from June 1,2021,to June 30,2023,with ICD-10 code C97 for the discharge diagnosis.By carefully reading the medical records,we analyzed the reasons for coding errors in multiple primary malignant tumors with code C97.Results Among the 393 medical records,there were 34 cases with coding errors in C97,including 11 cases where meta-static malignant tumors were erroneously coded as multiple primary malignant tumors,9 cases where malignant tumors of the same organ system with non-adjacent sites and the same histological type were erroneously coded as multiple primary malignant tumors,7 cases where distant metastasis or local invasion was erroneously coded as multiple primary malignant tumors,4 cases where be-nign tumors were mistakenly coded as malignant tumors,and 3 cases where suspected malignant tumors were coded as confirmed cases.Conclusion To improve the quality and efficiency of C97 coding,coders need to have a clear understanding of the defini-tion of multiple primary malignant tumors,read the medical records carefully and completely,determine the location and histolog-ical type of the tumors accurately,and strengthen communication with clinical physicians.

This commentary was based on the paper "Calorie Restriction with or without Time-Restricted Eating in Weight Loss" (TREATY trial) published recently in N Engl J Med, with the aim to introduce the study design of TREATY trial and discuss the main findings along with its clinical applicability. This trial offers additional evidence on the time-restricted eating and provides insights for future research.

China is stepping up its standardized management of investigator initiated trials(IIT)carried out by medical and health institutions, spotlighting the establishment and improvement of the quality control system of IIT projects than ever before. The authors retrieved official websites of clinical research related units of medical institutions and research institutes at home and abroad, and by means of literature review analyzed the current quality management of IIT projects at home and abroad. They found such setbacks as lack of quality management standards and norms, imperfect quality control mechanism, poor awareness of quality risk, insufficient quality supervision and poor quality control ability of clinical researchers. Based on the above, the paper made the following recommendations for building an IIT project quality control system in China: developing quality management standards and norms, setting up a systematic quality control mechanism(i.e., exploring a three-level quality control mode composed of the project team/department-hospital-national supervision institution/peer review expert team, and implementing the whole process quality control mechanism), strengthening policy guidance and system construction, and strengthening the standardized training of clinical researchers.

Objective To investigate the knowledge and attitude of nurses on the prevention and nursing of common complications among bedridden patients in Wuhan City, and provide scientific basis for the implementation of targeted training in improving clinical nursing quality. Methods A total of 748 clinical nurses from 4 hospitals in Wuhan City were selected in November 2016 using convenient sampling method. A self-designed questionnaire was applied to investigate the common complications nursing knowledge and attitude of nurses on bedridden patients. Results The accuracy of nurses' knowledge on the prevention and nursing of common complications among bedridden patients were listed as follows: deep vein thrombosis (DVT) (77.44%), pneumonia (73.88%), urinary tract inflammation (70.63%), and pressure ulcers (61.44%). The scores of nurses' attitude were listed successively: pressure ulcers (88.21%), urinary tract inflammation (86.81%), pneumonia (86.66%), and DVT (85.92%). There were positive correlation between the scores of knowledge and attitude of nurses on four kinds of complications (P< 0.05). Conclusions Nursing administrators should improve the training and update of common complications knowledge on nurses, and promote their positive attitude to the prevention of common complication to increase the quality of nursing.

Objective To understand the probability of suicide and demographic characteristics of cancer inpatients and to analyze the correlation between depression and probability of suicide.Methods From June to October 2017, we selected 310 inpatients in oncology department of two hospitals in a province as subjects by convenience sampling. The questionnaire survey was carried out in patients with the general information questionnaire, Patient Health Questionnaire-9 (PHQ-9) and Suicide Probability Scale (SPS). Pearson correlation was used to analyze the correlation between depression and probability of suicide. We also compared the differences of probability of suicide among patients with different characteristics.Results Among 310 cancer inpatients, the score of PHQ-9 was (3.96±3.46) with 7.1％ (22/310) for the incidence of depression;the score of SPS was (57.35±8.38) with 11.0％ (34/310) for the incidence of suicide idea. Depression of patients had a positive correlation with the probability of suicide (r=0.381,P<0.001). There were statistical differences in the probability of suicide among cancer inpatients with different sexes, ages, education levels, marital status and living conditions (P<0.05).Conclusions When evaluating the probability of suicide of cancer inpatients, we should pay attention to high-risk population according to different demographic characteristics. Clinical nursing workers should show solicitude for patients with depressive symptoms and provide timely medication and mental regulation for patients diagnosed with depression.