ObjectiveTo explore the relationship between the proportion of hospitalization expenses and the rationality of expense structure in patients with chronic heart failure (CHF), providing reference for early warning of unreasonable hospitalization expense structure and reasonable control of patients’ hospitalization expenses.MethodsPatients with CHF between 2020 and 2023 in Shanghai Pudong New Area Guangming Hospital of Traditional Chinese Medicine were used as the study data. Percentile algorithm was used to judge the rationality of the hospitalization expense structure. Multivariate logistic regression model was used to analyze the correlation between the proportion and rationality of expense structure. Restricted cubic spline model was to analyze the threshold response relationship. ResultsA total of 762 patients were included. The medicine expenses remained the primary component of hospitalization expenses for patients with CHF, and combined expenses of examination and laboratory tests exceeded 80% of the total hospitalization expenses. The incidence of unreasonable hospitalization expense structure in patients with CHF was about 10%. The proportion of traditional Chinese medicine, western medicine, examination and laboratory tests, age, admission mode and clinical pathway were the influencing factors of unreasonable hospitalization expense structure in patients with CHF. After coordinating the relevant variables, when the proportion of examination and laboratory tests was <35%, the risk of unreasonable hospitalization expense structure decreased with the increase of the proportion [odds ratio=0.887, 95% confidence interval (0.805, 0.977), P<0.01]. While the proportion of western medicine expenses was >30%, the proportion of traditional Chinese medicine expenses was >13%, and the proportion of examination and laboratory tests was>35%, the risk of unreasonable hospitalization expense structure increased with the increase of proportion (P<0.01). ConclusionsThere is a correlation between the expense proportion of medicine, examination and laboratory tests and unreasonable hospitalization expense structure. The consumptive expenses should be reasonably controlled.
Objective To investigate the financial burden of in-patients with thyroid diseases in the West China Hospital in Chengdu, Sichuan province, from January 2011 to December 2012, so as to provide baseline data for further research. Methods The data of in-patients (who had been discharged from the department of endocrinology and metabolism or discharged after being transferred to other departments for diagnosis and treatment in the West China Hospital in 2011) were collected from the Hospital Information System (HIS) of the West China Hospital, including basic information, initial diagnosis when the patients were discharged, hospital costs, the information about whether the patients had been registered the insurance in hospital, etc. We classified diseases according to ICD-10 based on the initial diagnosis when the patients were discharged on the first page of case reports. The data were input using Excel 2010 software, and statistical analysis was performed using SPSS 13.0 software. Results The results showed that: a) in 2011, 205 person-times were hospitalized in the department of endocrinology and metabolism, of which, 84 were male and 121 were female, with mean age of 45.3±15.7 years; b) for patients with thyroid diseases, median hospital stay was 10 days, the average cost of hospital stay for each patient was RMB 2 881.43 yuan, most of which was for lab tests and examination; c) the person-times of patients with hyperthyroidism was 162, accounting for 79.5% of the total of thyroid diseases, median hospital stay was 10 days, and the average cost of hospital stay was RMB 2 958.36 yuan; and d) there was no association between the number of hyperthyroidism complications and hospital stay and costs. Conclusion Thyroid diseases are a commonly-seen disease in the department of endocrinology and metabolism, of which, hyperthyroidism accounts for the most. There is no association between the number of hyperthyroidism complications and hospital stay/costs.
Objective To systematically review the influence of frailty on the prognosis of non-cardiovascular surgery heart failure (HF) patients and to provide references for its prevention and management. Methods CNKI, VIP, CBM, WanFang Data, PubMed, EMbase, Web of Science, and The Cochrane Library were searched to collect cohort studies on the prognosis of non-cardiovascular surgery HF patients with frailty from inception to November 1st, 2021. Two reviewers independently screened literature, extracted data, and assessed the risk of bias of the included studies. Then, meta-analysis was performed using RevMan 5.3 software and Stata 14.0 software. Results A total of 20 studies involving 11 127 patients were included. The results of meta-analysis showed that frailty increased the risk of all-cause mortality (HR=1.72, 95%CI 1.61 to 1.84, P<0.000 01), hospitalization (HR=2.06, 95%CI 1.26 to 3.37, P=0.004), and combined endpoint (HR=1.59, 95%CI 1.37 to 1.84, P<0.000 01) in non-cardiovascular surgery HF patients. Conclusion Current evidence shows that frailty can increase the risk of all-cause mortality, hospitalization, and combined endpoints in non-cardiovascular surgery HF patients. Due to the limited quantity and quality of the included studies, more high-quality studies are needed to verify the above conclusion.
Objective To analyze the crucial factors which affect the hospitalization expenses of patients with uterine adenomyosis, in order to take corresponding measures. Methods A total of 583 patients diagnosed with uterine fibroids reported by hospitals in urban areas of Suining city through hospital quality monitoring system between December 2013 and December 2015 were included in this study. The main reasons for the expense structure was described by Pareto’s law. The importance of hospitalization expense influencing factors was analyzed by neural network model, and single factor analysis was used to analyze important influencing factors of hospitalization expenses. Results The main factors influencing hospitalization expenses included length of stay in hospital, operation techniques and illness conditions, and their importance value was respectively 0.581, 0.175 and 0.088. Conclusion Based on hospitalization expenses, length of stay in hospital and expense structure, high intensity focused ultrasound therapy is more reasonable in the treatment of uterine adenomyosis.
Objective To understand the changing patterns and characteristics of the number of patients hospitalized with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) before, during, and in the post-epidemic period of the COVID-19 pandemic and the Association between acute respiratory infections and hospitalization of patients with AECOPD. Methods A retrospective analysis was conducted to count the patients hospitalized for AECOPD in the Department of Respiratory Medicine of the Third Affiliated Hospital of Chongqing Medical University from July 2017 to June 2024. The pattern of change in the number of AECOPD hospitalizations and the associations with patients with respiratory tract infections in outpatient emergency departments were analyzed. Results During the COVID-19 epidemic, the number of hospitalizations of patients with AECOPD did not increase compared with the pre-epidemic period. Instead, it significantly decreased, especially in the winter and spring peaks (P<0.05). The only exception was a peak AECOPD hospitalization in the summer of 2022. COPD inpatient mortality and non-medical discharge rates tended to increase during the epidemic compared with the pre-epidemic period. Analysis of the curve of change in the number of patients with respiratory infections in our outpatient emergency departments during the same period revealed a downward trend in the number of patients with respiratory infections during the epidemic and an explosive increase in the number of patients with respiratory infections in the post epidemic period, whose average monthly number was more than twice as high as that during the epidemic. Correlation analysis of the number of patients with respiratory infections between AECOPD hospitalizations and outpatient emergency departments showed that there was a good correlation between the two in the pre-epidemic and post-epidemic periods, and the correlation between the two in the post-epidemic period was more significant in particular (r=0.84-0.91, P<0.001).In contrast, there was no significant correlation in 2021 and 2022 during the epidemic (r=0.24 and 0.50, P>0.05 ). The most common respiratory infection pathogens among AECOPD hospitalized patients during the post-epidemic period were influenza virus, COVID-19 virus, and human rhinovirus, respectively. Conclusions The pandemic period of COVID-19 infection did not show an increase in the number of AECOPD hospitalizations but rather a trend towards fewer hospitalizations. Respiratory infections were strongly associated with the number of AECOPD hospitalizations in the pre- and post-pandemic periods, while the correlation between the two was poorer during the pandemic period. Influenza virus was the most important respiratory infection pathogen for AECOPD during the post-epidemic period.
Objective To identify the chief factors influencing the hospitalization expenses in fracture patients with health insurance so as to provide information for the control of irrational increase in medical expenses and reform in the mode of medical insurance payment. Methods A total of 113 fracture patients with medical insurance in a hospital of a certain city from September 2006 to April 2007 were included and statistical analysis was performed by using multinomial linear regression analysis. Results The major factors influencing the hospitalization expenses in fracture patients with health insurance included the proportion of material fees and drug fees, length of stay, performance of operations and blood transfusion and etc. Conclusion Lowering the proportion of material fees and drug fees reasonably, reducing the length of hospital stay and avoiding operations and blood transfusion were the key to the control of hospitalization expenses for fracture. It is imperative to speed up and deepen the reform in medical insurance system, formulate scientific diagnostic and treatment routines and clinical pathways as well as expense standards, and try out the payment on certain single disease such as fracture.
It's common that general rules exist in a certain classification. The general rules of expense classification enable us to judge the category of a patient as soon as possible and to curb the expense. Theory of rough set helps us reach the best reduction of attributes. Based on the core attributes, classification rules are put forward by value reduction. The results show that 10 core attributes remain in 21 attributes of 1527 inpatients' information and 76 classification rules are founded. All of 76 rules guide classification of the patients. 44 of the 76 rules define the only category of a patient, the other 32 rules defines the potential catagories of a patient. Meanwhile, equal attributes of the same category are summerized to guide the cost control of patients. The results indicate that the theory of rough set is effective in attributes reduction and rule generalization of patient expense classification, and it has important significance on medical practice.
ObjectiveTo understand the inpatient classification and influence factors of hospitalization expenses, so as to provide basis for hospital management. MethodsThe diagnosis and treatment data of inpatients in a grade A tertiary hospital in 2013 were collected, the percentile method were used to describe the expenses distribution, the K-means clustering method was applied to classify the inpatients, the rank-sum test was utilized to analyze the differences of the costs among different groups, ICD-10 was applied to analyze the diseases distribution, and the median regression was used to analyze the influence factors. ResultsThere were 175 333 inpatients in total. The median of the expenses was 10 016.31 yuan RMB. The inpatients might be classified into seven groups with different expenses (P=0.0001). For inpatients who had no "blood transfusion cost", the top three factors of cost category were operation, laboratory test, examination; for who had "blood transfusion cost", the top three factors of cost category were blood transfusion, laboratory test, examination. There were 2 147, 2 182, 1 499, 1 301, 2 059, 22 and 14 kinds of diseases (ICD-10 four-digit code) respectively among the seven groups. The influence factors could be summarized into patient-related and diagnosis & treatment-related ones. ConclusionThe costs of operation, blood transfusion, laboratory test, and examination affect the inpatients classification greatly. The results could be of help to inform the admission of patients, the expense control and the disease management.
Objective To Provide statistical references for disease-based payment reform with Diagnosis Related Groups (DRGs). Methods Based on 1 969 stroke inpatients from two hospitals in Chongqing city, we used classification and regression trees (CART) of decision tree to establish classification regulations of the case-mix model for stroke inpatients, and multivariate statistical model to evaluate whether the case-mix could provide a satisfactory prediction to costs for stroke inpatients in comparison with the foreign model. Results ① The classification nodes of our model were surgical procedure, nursing care degree, and hospital infection respectively by which 1 969 stroke inpatients were divided into 5 groups. The classification nodes in foreign model were surgical procedure, age≥50 years, and whether patients would refer to other institutions after leaving the hospitals by which 1 969 stroke inpatients were also classified into 5 groups. ② For medical institutions and the third payers, we found that the data from our model could explain 80.46% of the total costs and 16.58% for individual inpatient, which were higher than that of foreign model (76.87% for medical institutions and the third payers, 9.13% for individuals ). Conclusions Compared with foreign model, our model is more suitable for the situation in China. The study is only based on 1 969 stroke inpatients from south west part of China, so the conclusion needs further studies to confirm.
Objective To construct the prediction model of hospitalization expenses for ischemic heart disease, reveal the key factors affecting hospitalization expenses, and analyze the interaction between variables. Methods Patients from Sichuan medical insurance comprehensive service platform from January 2020 to December 2021 were extracted. The training set and test set were divided according to the ratio of 7∶3. Six machine learning models were constructed and trained by ten-fold cross validation, and was explained by SHAP theory. Results XGBoost model had the best performance among these models, with a R2 of 0.60, RMSE of 9 969.71 yuan, and MAE of 5 242.90 yuan in the test set. SHAP results showed that the five variables with the greatest impact on hospitalization expenses were surgery, length of stay, hospital grade, disease type and DRG. Hospitalization costs were higher when grade 3 or 4 procedures were performed, the length of stay was prolonged, the hospitalization was in a tertiary hospital, and payments were made for acute myocardial infarction and non-DRG. With the prolongation of hospital stay, the hospitalization expenses increased faster when the patient had grade 4 surgery and was in a tertiary hospital. In addition, DRG payment will reduce the length of hospital stay and the hospitalization expenses of patients with different disease types. Conclusion The interpretable XGBoost model constructed in this study has a good predictive performance for the hospitalization expenses of patients with ischemic heart disease. Combined with SHAP theory, it can effectively identify the key factors affecting the hospitalization expenses and analyze their interactions.