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.
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 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 investigate the disease constitution and hospitalization cost in Yong’an Central Township Health Center (YaC) in Shuangliu County of Sichuan Province from 2008 to 2010, so as to provide baseline data for further research. Methods Questionnaire and focus interview were carried out; case records and cost information of YaC inpatients in 2008, 2009 and 2010 were collected. The diseases were classified according to ICD-10 based on the first diagnose and the cost was analyzed. Data including general information of the inpatients, discharge diagnosis, hospitalization expenses, and drug cost etc. were rearranged and analyzed by Excel software. Results a) The total number of inpatients were 4 236, 4 335 and 4 844 in 2008, 2009 and 2010, respectively. Females were more than males (56.99% vs. 42.96%, 55.59% vs. 44.1%, 54.36% vs. 45.62%), and their disease spectrum included 20 categories, which accounted for 95% of disease classes of ICD-10; b) The inpatients suffering from top three systematic diseases accounted for 62.74% to 72.31%, which included the respiratory, digestive, urinary tract and urogenital systematic disease; c) The top 15 single diseases were upper respiratory infection, acute bronchitis, pulmonary infection, acute gastroenteritis, fracture, acute appendicitis, chronic bronchitis, calculi in urinary system, cerebral vascular insufficiency, lumbar vertebra disease, acute gastritis, superficial injury, chronic gastritis, hypertension, and cholecytolithiasis or cholecystitis; d) The number of inpatients in the group of over 15-24 ages with chronic diseases increased with age and females were more than males. The acute disease burden of inpatients in 0-4 age group was the heaviest, who only suffered from acute diseases and males were more than females. The inpatients in 25-54 age group suffered from more acute diseases than chronic diseases and females were more than males; and e) The inpatients’ average costs of chronic diseases were higher than those of acute diseases in 2010 (1 564.45 yuan vs. 1 104.11 yuan) and those of either Xintian Central Township Health Center (1 311.81 yuan) or Gaozha Central Township Health Center (1 002.99 yuan). Conclusion a) In recent three years, the main systematic diseases that inpatients suffer are digestive, respiratory, and urinary tract and urogenital system diseases; the acute diseases are more than the chronic; the acute diseases mainly include infection and injury; b) During the past three years, the top 15 diseases have been stable and the same diseases include upper respiratory infection, pulmonary infection, acute bronchitis, acute appendicitis, acute gastritis, acute gastroenteritis, fracture, chronic gastritis, chronic bronchitis, and calculi in urinary system; c) It should be paid attention to the inpatients with chronic diseases in over 15-24 age group and the inpatients with acute diseases in 0-4 age group; and d) The inpatients’ average costs of top 15 diseases in 2010 were higher than those of either XtC or GzC, and consideration on rationality of the hospitalization cost should be paid attention to.
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.
ObjectiveIn light of the comprehensively implemented reform of medical insurance payments, this study analyzed the impact of the payment intervention and COVID-19 pandemic on hospitalization expenses for identical diseases between traditional Chinese medicine (TCM) and Western medicine hospitals, to provide evidence to promote high-quality coordinated development of hospitals and insurance while reducing patient load. MethodsFrom January 2014 to December 2020, we gathered data including 9 900 individual medical records of woman-related malignant tumors (WMT) from all 23 public hospitals in a district of Shanghai. We developed an interrupted time-series analysis model based on the above two interventions, to compare the inpatient average per-time expenses between different hospitals and different groups. ResultsThe average per-time expenses of WMT in Western hospitals changed from rising to declining after the policy intervention, and increased again during the pandemic. In TCM hospitals, the expenses continued to increase and fluctuated after the pandemic. ConclusionThe policy intervention has achieved a good effect on controlling the cost of Western hospitals, rather than the significant increase in TCM hospitals. Meanwhile, the COVID-19 pandemic has had a significant impact on hospitalization expenses. It’s urgent to develop a payment model that fits the development and characteristics of TCM, to control the unreasonable growth of expenses. Moreover, the financial compensation methods and supervision mechanism of public hospitals should be improved to effectively resist the threat of public health emergencies for the development of hospitals and the legitimate rights of patients.
ObjectiveTo investigate the variations in patient hospitalization expenses before the enforcement of the centralized procurement policy, after the implementation of the drug centralized procurement policy, and after the introduction of the consumables centralized procurement policy. The efficacy of the centralized procurement policy will also be examined. MethodsThis retrospective study utilizes data obtained from the medical records homepage of the Health Information Statistics Center under the Health Commission of Gansu Province. It included 32 938 inpatients who underwent PCI surgery for coronary heart disease in Gansu province between January 1, 2018, and December 31, 2022. A double-breakpoint interrupted time series model was employed to analyze the fluctuation trends in hospitalization costs among patients across various stages of the centralized procurement policy's implementation. ResultsThroughout the three phases of implementing the centralized procurement policy, the average total hospitalization costs were RMB 46 149.49 yuan, RMB 46 629.12 yuan, and RMB 28 771.76 yuan, respectively. After the centralized procurement policy with a focus on drug volume was initiated, there was an immediate reduction in average total hospitalization costs, drug costs, consumable costs, and medical service fees by 4.64%, 5.62%, 18.12%, and 8.85%, respectively. However, there was a subsequent increase of 25.28% in average medical service fees. Following this phase, average out-of-pocket costs, treatment costs, and other expenses exhibited a consistent upward trajectory, increasing by an average of 2.23%, 1.51%, and 1.21% per month. Upon the introduction of the centralized procurement policy for consumables, there was an immediate surge of 23.75% in average medical service fees, while average total hospitalization costs, out-of-pocket costs, consumable costs, treatment costs, and rehabilitation costs experienced a gradual decline. ConclusionThe enforcement of centralized procurement policies for drugs and consumables has effectively managed to reduce hospitalization costs for patients undergoing PCI surgery due to coronary heart disease, thereby easing the financial burden on patients. However, changes in consumable costs and average medical service fees were relatively modest. Going forward, it is essential to refine the centralized procurement policy concerning consumables, improve the compensation mechanism for medical service pricing, and enhance the overall value proposition of medical services.
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.
ObjectiveTo investigate constitution and financial burden of disease in the West China Hospital of Sichuan University during 2011-2012. MethodsThe 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 from January 2011 to April 2012) were collected from the Hospital Information System (HIS) of the West China Hospital, including basic information, discharge diagnosis, 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 each 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. Resultsa) During 2011-2012, in the department of endocrinology and metabolism, the top five commonly-seen diseases of in-patients were:diabetes, followed by hypothalamic-pituitary-adrenal/gonadal disease, diseases other than endocrine disorders, thyroid disease, and metabolic bone disease. b) The diseases of the top five average hospital stay included:diabetes, followed by malnutrition, metabolic bone disease, diseases other than endocrine disorders, and hypothalamic-pituitary-adrenal/gonadal disease. c) The diseases of the top five total costs of included:diabetes, followed by metabolic bone disease, diseases other than endocrine disorders, malnutrition, and other nutrients deficiency. ConclusionDiabetes and its complications are the major disease as well as the major cause of the burden of disease in the in-patient department of endocrinology and metabolism of the West China Hospital of Sichuan University.
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.