25 December 2023, Volume 30 Issue 6

    

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  Prediction and evaluation model of diabetic retinopathy based on multiple indicators

  Zhang Juanjuan，Zhao Yan，Xu Wang，Qiu Fangyuan，Xu Jianqiang

  journal1. 2023, 30(6): 401-407. https://doi.org/10.3969/j.issn.1006-5253.2023.06.001

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  Objective To make a statistical analysis and study on disease prediction based on the data of disease, physiological and biochemical indicators in the data warehouse of diabetic patients.Methods Through the chi-square test, Cochran-Armitage trends, and nonparametric test, the differences in demographic characteristics, chronic disease comorbidity, physiological and biochemical indexes distribution of diabetic retinopathy were statistically inferred. Fisher discriminant analysis was used to screen the value of diabetic retinopathy.Results In diabetic patients in the lower age group, the coincidence of retinopathy was higher in diabetic patients with hypertension, stroke, fatty liver, kidney disease, kidney failure, lower limb artery disease, and blood disease, and the difference was statistically significant (P＜0.05). The coincidence of retinopathy in diabetic patients increased with the increase of the types of common diseases (χ²=50.527, P<0.001). Nephropathy, renal failure, hematopathy, lower extremity artery disease, other endocrine diseases and multipathic comorbidities were adverse factors for diabetic retinopathy. Urinary microprotein and glycosylated hemoglobin indexes were important for predicting retinopathy in diabetic patients.Conclusion There are statistical differences in the disease, physiological and biochemical indexes of diabetic patients with retinopathy. By the data of chronic disease comorbidities, physiological and biochemical indexes of diabetic patients can better predict whether retinopathy is complicated or not.
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  Status of discharge readiness of patients undergoing gynecological surgery and analysis of related influencing factors

  Yu Shuju，Hu Wei，Cai Xingxing

  journal1. 2023, 30(6): 408-411. https://doi.org/10.3969/j.issn.1006-5253.2023.06.002

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  Objective To explore the status quo and related influencing factors of discharge readiness of gynecological surgery patients, and to provide theoretical reference for the formulation of intervention measures.Methods The patients who received gynecological surgery in a hospital from November 2020 to October 2022 and were ready for discharge were selected as the observation objects. The Chinese version of the discharge readiness rating scale and the quality of discharge guiding scale were used to investigate the patients. The influencing factors of discharge readiness of gynecological surgery patients were analyzed by multiple linear regression analysis.Results The total score of discharge readiness of 203 patients undergoing gynecological surgery was（159.39±23.79）points. Multivariate analysis showed that the quality of discharge guidance, the type of complications, the distance between hospital and home, and the payment method of medical expenses were the main influencing factors of discharge readiness of patients undergoing gynecological surgery (P<0.05).Conclusion The discharge readiness of gynecological surgery patients is at a medium level. Factors such as discharge guidance quality score, types of complications, distance between hospital and home, and payment method of medical expenses can affect patients′ discharge readiness. Clinical medical staff should implement targeted intervention measures to improve the level of discharge readiness.  
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  Establishment of a nomogram model for moderate and severe postoperative pain in patients with individualized mixed hemorrhoids

  Fang Zhengjie，Guo Aifen.

  journal1. 2023, 30(6): 412-417. https://doi.org/10.3969/j.issn.1006-5253.2023.06.00３

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  Objective To investigate the risk factors of postoperative moderate to severe pain in patients with mixed hemorrhoids, and to establish a nomogram model of postoperative moderate and severe pain in patients with mixed hemorrhoids.Methods Two hundred and seventy patients with mixed hemorrhoids who underwent surgical treatment in a hospital from March 2019 to November 2022 were selected as the study objects. Lasso-logistic regression was used to screen the predictors of postoperative moderate and severe pain in patients with mixed hemorrhoids, logistic regression was used to screen the risk factors of postoperative moderate and severe pain in patients with mixed hemorrhoids, R software was used to establish the nomogram model of postoperative moderate and severe pain in patients with mixed hemorrhoids, and the nomogram model of postoperative moderate and severe pain in patients with mixed hemorrhoids was verified.Results Among 270 patients with mixed hemorrhoids, 53 patients had moderate and severe pain after the surgery, and the incidence of moderate and severe pain was 19.63% (53/270) (95%CI: 0.712-0.846). Logistic regression analysis showed that grade IV mixed hemorrhoids, traditional external stripping and internal ligation, poor sleep status, drinking history and diabetes were the risk factors for postoperative moderate and severe pain in mixed hemorrhoids patients (P<0.05). The C-index of the nomogram model for postoperative moderate and severe pain in patients with mixed hemorrhoids was 0.737 (95%CI: 0.698-0.778). The predicted value of the correction curve was basically consistent with the actual value. The area under ROC curve of the model was 0.725 (95%CI: 0.684-0.767). When the decision curve showed a threshold probability of 8%-67%, the net benefit value predicted by the nomogram for mixed hemorrhoids patients with postoperative moderate and severe pain was higher.Conclusion Grade IV mixed hemorrhoids, traditional external stripping and internal ligation, poor sleep status, drinking history and diabetes are the risk factors for postoperative moderate and severe pain in patients with mixed hemorrhoids. The nomography model of postoperative moderate and severe pain in patients with mixed hemorrhoids has high clinical application value.
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  Analysis of etiological examination of inpatients before antibiotic therapy in a upper secondclass general hospital

  Han Shuanghai，Ma Dehui，Tian Weicai，Chen Tao

  journal1. 2023, 30(6): 418-421. https://doi.org/10.3969/j.issn.1006-5253.2023.06.00４

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  Objective To understand the pathogen submission of inpatients before antimicrobial treatment in a upper second-class general hospital from 2020 to 2022, so as to provide a basis for hospital infection management.Methods The data of pathogen submission and positive detection of hospitalized patients before antimicrobial treatment, before combined use of key antibiotics and hospital infection diagnosis from 2020 to 2022 were retrospectively collected, and the submission rate and positive detection rate were analyzed.Results During the 3 years, the rate of pathogen detection before the antibiotic treatment increased, and the difference was statistically significant (Z=17.556, P＜0.01). The positive detection rate before the treatment decreased, and the difference was statistically significant (Z＝-8.398, P＜0.01). The rates of pathogenic detection were 48.78%, 94.68% and 69.85% before the antibiotic treatment, before the combination with key antibiotics, and nosocomial infection diagnosis, and the positive detection rates were 24.25%, 46.31% and 38.89%.Conclusion The rate of pathogen detection before the antibiotic treatment in the hospital cannot meet the national target requirements, and the positive detection rate of each department is low. The hospital should strengthen the collection and submission of microbial specimens.
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  Influencing factors of resistance to isoniazid and rifampicin in tuberculosis patients in Yantai

  Zhu Sijin，Sun Cong，Wang YueLei，Chu Tianci，Jin Xiaoxiang，Hu Naibao

  journal1. 2023, 30(6): 422-425. https://doi.org/10.3969/j.issn.100-5253.2023.06.005

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  Objective To analyze the drug resistance of rifampicin and isoniazid in patients with tuberculosis in Yantai City, Shandong Province, from 2013 to 2019.Methods Data related to pathogenetically positive tuberculosis patients were collected in the China Disease Control and Prevention Information System. Trends in drug resistance changes were analyzed using the chi-square trend test. The unifactorial and multifactorial analyses of drug resistance influencing factors were performed using the chi-square test and multifactorial logistic regression, respectively.Results Totally 4 977 patients with pathogenetically positive tuberculosis were enrolled in this study, and 226 (4.5%) were resistant to rifampicin and/or isoniazid, of which 37 (0.7%) were resistant to rifampicin only, 140 (2.8%) to isoniazid only, and 49 (1.0%) were multidrug resistant. There was an overall increasing trend in patient resistance rates with increasing years (χ2=9.111, P=0.003). The results of univariate analysis showed that there were differences in drug resistance rates in terms of patient origin, therapeutic classification, level of therapeutic management and whether or not there was comorbid diabetes mellitus (P<0.05). Logistic regression analysis showed that retreatment (OR=3.691, 95%CI: 2.737-4.978) and the combination with diabetes mellitus (OR=1.703, 95%CI: 1.055-2.748) were risk factors for tuberculosis drug resistance.Conclusion The rate of resistance to rifampicin and/or isoniazid was low among patients with pathogenetically positive tuberculosis in Yantai City from 2013 to 2019, the trend of change in resistance suggests that prevention and control should still be strengthened in the future, and the risk of resistance was higher in patients who were retreated and complicated with diabetes mellitus. 
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  Current status and influencing factors of exercise self-efficacy in patients with lung cancer

  Tan Yaling, Zheng Xiaozhen

  journal1. 2023, 30(6): 426-430. https://doi.org/10.3969/j.issn.1006-5253.2023.06.006

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  Objective To investigate the status of exercise self-efficacy in patients with lung cancer and analyze its main influencing factors.Methods Totally 257 lung cancer patients who received chemotherapy in our hospital from January 2021 to June 2022 were selected as the research objects. General information questionnaire, Cancer Fatigue Scale and Exercise Self-Efficacy Scale for Lung Cancer Patients were used for investigation. Multiple linear regression analysis was used to analyze the influencing factors of exercise self-efficacy in patients with lung cancer.Results The score of cancer-related fatigue in lung cancer patients was (33.62±6.01). The score of exercise self-efficacy was (82.87±6.28). Cancer-related fatigue, education level and regular exercise habit were the main influencing factors of exercise self-efficacy in lung cancer patients (P<0.01).Conclusion The level of exercise self-efficacy of patients with lung cancer is low, and cancer-related fatigue can affect the level of exercise self-efficacy of patients. It is necessary to strengthen the health education of lung cancer patients to improve the level of exercise selfefficacy.

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  Performance of inpatient medical treatment of neurological diseases based on CN-DRG

  Su Yulu，Xu Bin， Yang Ying

  journal1. 2023, 30(6): 431-435. https://doi.org/10.3969/j.issn.1006-5253.2023.06.00７

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  Objective To evaluate the performance of inpatient medical services of 40 secondary and above public hospitals in Nanning in 2019 based on CNDRG.Methods Combined with CN-DRG grouping method, DRG indicators such as the number of DRG groups, case mix index (CMI), time consumption index, cost consumption index and low-risk mortality of MDCB were used to evaluate the performance of inpatient medical services for neurological diseases in public secondary hospitals and above in Nanning in 2019.Results In 2019, the number of MDCB groups in 40 secondary and above public hospitals in Nanning was mainly between 30 and 55, CMI was mainly distributed between 0.85 and 1.38, and 60% of TCM hospitals ranked lower in comprehensive performance score.Conclusion Nanning nervous system disease specialty still needs to strengthen management in terms of medical service efficiency and safety. At the same time, it is necessary to strengthen the formulation of disease coding mapping standards of traditional Chinese and Western medicine, narrow the discipline development gap between hospitals, and give play to the command and regulation role of DRG by improving the performance evaluation mechanism of DRG.
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  Prediction of hospital ultrasonic examination workload based on ARIMA model

  Liang Danyan，Zhang Feifei，Liu Qian，Cao Yang，Li Chenhao

  journal1. 2023, 30(6): 436-439. https://doi.org/10.3969/j.issn.1006-5253.2023.06.008

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  Objective To observe the application of ARIMA model in predicting the workload of ultrasonic examination in a hospital, and to provide basis for the rational allocation of medical resources.Methods The workload data of ultrasonic -examination in the monthly report of hospital business volume in the hospital from January 2011 to December 2021 were collected. The SPSS 26.0 software was used to construct the ARIMA (p,d,q)×(P,D,Q)_s  model to predict the workload of ultrasonic-examination in 2021, and the prediction effect was evaluated by model fitting parameter  R² and average absolute percentage error (MAPE).Results The ARIMA (0,1,1) (0,1,1)₁₂  model is the relatively optimal model of ultrasonic examination workload. The R²  of the model is 0.901, and the residual error of the model is confirmed to be a white noise sequence by Ljung-Box test (Ljung-Box  Q (18) =14.939, P=0.529). The MAPE of the model is 7.28%, the actual value is within 95% confidence interval of the predicted value, and the prediction accuracy of the model is high.Conclusion The ARIMA (0,1,1) (0,1,1)₁₂  model can better predict the workload of ultrasonic examination. Hospitals should allocate medical and health resources reasonably according to the changing law of ultrasonic examination workload so as to enhance the fine management level of modern hospitals.
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  Analysis of the use of electronic certificate for national basic medical insurance in medical institutions in Jinhua

  Wang Runnan，Chen Zhangfang，Shi Hui，Wu Wei，He Jia

  journal1. 2023, 30(6): 440-445. https://doi.org/10.3969/j.issn.1006-5253.2023.06.009

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  Objective To study the use of electronic certificate for national basic medical insurance in medical institutions in Jinhua, to analyze the use of electronic certificate for national basic medical insurance in a tertiary hospital, and to provide a basis for the further promotion and use of electronic certificate for national basic medical insurance in the future.Methods The electronic certificate data of medical institutions in Jinhua from April 1 to October 31, 2022 and the data of the tertiary hospital from April 1 to October 31, 2021 and 2022 were exported from the medical information system. The data of influencing factors were obtained from questionnaire survey of 361 randomly selected persons.Results Among tertiary hospitals in Jinhua, the highest utilization rate of electronic certificate for national basic medical insurance was 51.18%he highest utilization rate of electronic certificate for national basic medical insurance was 50.91ong secondary hospitals. The utilization rate of electronic certificate for national basic medical insurance in the outpatient service (49.41%) and inpatient service (84.16%) of the tertiary hospital in 2022 were significantly better than those in 2021 (9.49% vs 30.20%) (P<0.001). The results of multivariate logistic regression showed that the use of electronic certificate for national basic medical insurance of urban patients was better than that of rural patients (P=0.049), and the familiarity of electronic certificate for national basic medical insurance (P<0.001), the rich functions of Internet hospitals (P=0.027), the convenience of electronic certificate for national basic medical insurance (P=0.004) and the satisfaction of electronic certificate for national basic medical insurance (P=0.041) were the positive factors of using electronic certificate for national basic medical insurance.Conclusion The utilization rate of electronic certificate for national basic medical insurance in Jinhua was generally at a high level. By studying the detailed data of the tertiary hospitals in the past two years, it was found that there was still much room for improvement in the use of electronic certificate for national basic medical insurance in outpatient services. The study of influencing factors found that the use of electronic certificate for national basic medical insurance can be improved through publicity, promotion and enrichment of functions.
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  Death cause of elderly inpatients in a tertiary hospital in Guangzhou from 2018 to 2022

  Chen Jingjing, Chen Xiaoxia, Shi Wenqi, Liu Zifeng, Deng Shumin, Zhou Xiaomei

  journal1. 2023, 30(6): 446-451. https://doi.org/10.3969/j.issn.1006-5253.2023.06.010

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  Objective To analyze the deaths of hospitalized elderly inpatients aged 60 years old and above from 2018 to 2022 in a multidimensional manner, and to understand the composition of their causes of deaths, in order to provide a basis for rational allocation of healthcare resources.Methods Data of 1 716 hospitalized dead patients aged 60 and above registered in the Guangdong Provincial Death Medical Certificate Management Information System of the hospital from 2018 to 2022 were extracted, Mann-Whitney U and chi-square tests were used to statistically analyze the distributional characteristics of variables such as age, gender, and underlying causes of death.Results From 2018 to 2022, the number of geriatric inpatient deaths showed a downward trend year by year, with a male to female sex ratio of 1.67∶1. In all age groups males had a higher rate of death than females, but the difference was not statistically significant (χ²=0.26, P=0.992). The median age at death was 78.0(69.0, 84.0) years old, which was higher in females than in males, and the difference was statistically significant (Z=342.01, P=0.003). In the seasonal distribution, the highest number of deaths occurred in winter, followed by spring, fall, and summer, and the difference was not statistically significant (χ²=5.66, P=0.773). The top 3 leading causes of death of elderly inpatients in the hospital from 2018 to 2022 were circulatory diseases, tumors and respiratory diseases, accounting for 76.34% of the total number of deaths, which were the main types of diseases leading to their deaths, with a decreasing trend in the proportion of deaths caused by tumors and a yearly increase in the proportion of deaths caused by infectious and parasitic diseases. During the study period, the differences in the distribution of the main causes of death by gender, season and age group were all statistically significant (P<0.05).Conclusion Hospitals should rationalize the allocation of medical resources, strengthen the treatment and prevention, control and monitoring of circulatory diseases, tumors, respiratory diseases, infectious and parasitic diseases, and pay particular attention to the treatment and care of elderly males and in winter, so as to reduce the death rate.
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  Variation of hospitalization cost structure of patients with malignant tumors of digestive system

  Sun Lili, Guo Lingli, Zhong Chunxue, Yang Shumei, Mao Ying

  journal1. 2023, 30(6): 452-456. https://doi.org/10.3969/j.issn.1006-5253.2023.06.011

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  Objective To investigate the characteristics of patients with malignant tumors of digestive system and analyze the influencing factors of hospitalization expenses.Methods Medical record first page data of patients with digestive system cancer from 2017 to 2021 were collected to analyze the characteristics of tumor patients and the hospitalization costs with gray correlation method and structural variation degree.Results The top four malignant tumors of 4 505 cases of digestive system were colorectal cancer, gastric cancer, liver cancer, and gallbladder and cholangiocarcinoma. The number of cases increased with age and there were more men than women. From 2017 to 2021, the average hospitalization cost of patients with digestive system cancer showed an increasing trend. The top two influencing factors of hospitalization expenses of gastrointestinal cancer patients were consumables and western medicine. The contribution rate of the structural change of western medicine and consumables cost was 60.80%.Conclusion Early screening of digestive system tumors in the elderly is recommended. The costs of Western medicine and consumables were the main influencing factors of hospitalization expenses. It is suggested to reasonably adjust and optimize the structure of hospitalization expenses, implement the refined and digital management of drugs and consumables, and further improve the return on knowledge value of medical technicians.
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  Analysis of grouping effect and hospitalization cost of patients with ischemic stroke based on DRG

  Chen Yu, Chang Renyuan, Wang Pan, Jia Aihua, Feng Ting

  journal1. 2023, 30(6): 457-460. https://doi.org/10.3969/j.issn.1006-5253.2023.06.012

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  Objective To analyze the grouping effect of DRG, the hospitalization costs composition and structural changes in patients with ischemic stroke, so as to provide basis for the implementation of DRG payment reform and precise fee control.Methods The intra-group variation of DRG was evaluated by coefficient of variation (CV）, and the inter-group comparison was evaluated by rank sum test; the structural change of hospitalization expenses between DRG groups was analyzed by the structural change degree.Results The CV of each DRG group was less than 1; the difference of hospitalization expenses among the three groups was statistically significant (P<0.001), while the difference of hospitalization days among the three groups was not statistically significant (P=0.857); the proportion of drug costs in each group was the highest, reaching over 40%, followed by the diagnostic fee, which reached over 30%. The structure of BR21 compared with BR25 had the largest variation (10.86%), the treatment cost structure of BR21 compared with other groups had the largest contribution rate, and the drug cost structure of BR25 compared with other groups had the largest contribution rate.Conclusion The grouping effect of ischemic stroke is reasonable, but the cost structure still needs to be optimized. We should raise the charging standard for medical service projects, standardize the clinical pathway, and establish a performance evaluation scheme and a reasonable and effective cost control mechanism that are compatible with DRG payment.
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  Retrospective analysis of coded cases of obstetric breech delivery

  Zheng Ya, Xu Minhui, Jin Ni,He Guobin, Wu Lijuan

  journal1. 2023, 30(6): 461-463. https://doi.org/10.3969/j.issn.1006-5253.2023.06.013

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  Objective To analyze the accuracy of ICD-10 coding for the disease diagnosis associated with the breech delivery, so as to improve the quality of ICD coding on the first page of medical records.Methods All breech delivery medical records with ICD-10 codes of O32.1, O64.1, O80.1 or O83.1 in our hospital from 2016 to 2022, were retrieved through the medical records statistical system. The disease codes of patients diagnosed after discharge were reviewed according to ICD-10 disease coding rules, and the code of medical records was analyzed retrospectively.Results Out of 695 medical records, 88 cases had the wrong discharge diagnosis codes, and the error rate was 12.66%.Conclusion In order to improve the accuracy of disease coding, hospitals and departments should strengthen professional training for disease coders. The coders should strengthen the learning of specialized professional knowledge. After the division of labor is adjusted in coding departments, it is necessary to strengthen communication with each other, and actively communicate with clinical departments, strive to improve the accuracy of the hospital′s medical record homepage coding, and restore each medical record more truthfully.
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  Comparative analysis of ICD-10 and ICD-11 coding of primary nasal meningiomas

  Fang Mengya, Pan Xiaoxia, Wang Yi

  journal1. 2023, 30(6): 464-468. https://doi.org/10.3969/j.issn.1006-5253.2023.06.01４

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  Objective To explore the difference between ICD-10 and ICD-11 disease coding query and composition, and to provide a better understanding and reference for the current ICD-10 correct coding.Methods Taking primary nasal meningioma as the research object, ICD-10 and ICD-11 coding were compared and analyzed in detail from the aspects of chapter structure, coding composition, site coding, morphological coding and other extended coding.Results The ICD-10 disease code of primary nasal meningioma was found, the codes found in Volume 1 were classified as brain neoplasm, which needed to be revised before they could be used. ICD-11 uses a combination of cluster coding to represent complex neoplasm coding in detail. The morphological classification of ICD-11 is more in line with the actual clinical classification. The ICD-11 extended code can reflect the severity, lateral position and neoplasm stage.Conclusion ICD-11 is conducive to more accurate statistics of medical information, which should be applied as soon as possible.
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  Analysis of research hotspots and frontiers in Chinese Journal of Hospital Statistics

  Li Yunfeng，Xiang Ping，Yang Yechun

  journal1. 2023, 30(6): 469-475. https://doi.org/10.3969/j.issn.1006-5253.2023.06.015

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  Objective To understand the research hotspots and frontier evolution of  Chinese Journal of Hospital Statistics, and to provide reference for the research direction of hospital statistics peers.Methods We searched the published literature of the journal through CNKI, and systematically analyzed the volume of published literature, the average number of pages, the proportion of fundamentals, the number of citations, and the trend of change of the six major research themes of the journal; and we analyzed the hotspots of the journal′s research and the evolution of the frontiers by using the method of social network-analysis.Results From 2015 to 2022, the journal published 1 220 articles, and the annual publication volume decreased from 174 to 96; the average number of pages of a single article increased from 3.02 to 5.26. Taking 2018 as the boundary, the difference between the annual number of articles published and the number of pages of literature between the two periods before and after was statistically significant (P<0.001). The topic with the highest number of articles in recent years is "hospital management and health policy" (29.86%); the percentage of articles in "statistical theory and methodology and technology" has a difference between the two periods (5.66% VS 10.22%, P=0.004). At the same time, the proportion of journal articles increased year by year, up to 62.50% in 2022, and the difference between the two periods was statistically significant (38.24% VS 49.90%, P=0.004). Especially for "hospital management and health policies" and "case management and disease coding", the proportion of fundamentals published increased significantly (37.78% VS 52.35%, P=0.008; 19.15% VS 45.95%, P=0.008). In recent years, the average number of citations of the literature published in the journal is more than 4 times/article, showing a gradual upward trend; the theme of "statistical theory and methods and techniques" is the one that has been cited more often (3.63 times/article on average). According to the analysis of high-frequency words and network co-occurrence diagrams of the six themes, the research hotspots of "hospital management and health policy" are hospital performance evaluation and comprehensive evaluation; "clinical research and medical statistics" focuses on the research of disease risk factors and prognosis; "hospital statistics and disease spectrum analysis" focuses on the application of different statistical models; "health surveys and disease control" still concentrates on the study of morbidity factors; "statistical theory and methodology" focuses on the study of statistical software and database technology. "case management and disease coding" focuses on the coding rules of the first page of cases.Conclusion The quality of the papers and the recognition of the literature published in Chinese Journal of Hospital Statistics have been improving; the research field of hospital statistics has gradually penetrated from applied research to theoretical and methodological research, with more emphasis on the cross-fertilization of statistical methods with other disciplines; and the use of statistics in traditional disciplines still focuses on the study of risk factors.
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  Analysis of papers published in Chinese Journal of Hospital Statistics from 2015 to 2022 based on CNKI

  Wang Jian, Wang Jingyi

  journal1. 2023, 30(6): 476-480. https://doi.org/10.3969/j.issn.1006-5253.2023.06.016

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  Objective To analyze papers published in Chinese Journal of Hospital Statistics based on CNKI, including published articles, authors, institutions, keywords, citation and so on.Methods The published papers of  Chinese Journal of Hospital Statistics from 2015 to 2022 were statistically analyzed according to the database of CNKI by using bibliometric methods.Results From 2015 to 2022, Chinese Journal of Hospital Statistics published 1 173 papers, and the annual number of papers was on the fall, but the length of papers increased. The columns of the journal were rich but changeable. The authors/institutions were widely distributed and strengthening cooperation, but the highproducing authors/institutions were low. There were distinct disciplinary characteristics for the articles, and the main hot keywords were risk factors, influencing factors, disease composition, hospitalization cost, statistical analysis, etc. The citation rate of the paper was high (84.57%), but the citation frequency of a single paper was 3.90 times and was relatively low.Conclusion Chinese Journal of Hospital Statistics has a certain degree of  academic-quality and academic influence, and is highly professional, but the influence of the journal needs to be further expanded.