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Objetivo: Establecer y cuantificar los determinantes de la estancia hospitalaria en un hospital universitario de Medellín de alta complejidad de Medellín, entre 2013 y 2018, valorar su importancia y modelar la estancia esperada. Metodología: Estudio observacional analítico retrospectivo de datos agregados. Siguiendo el método paso a paso, se corrieron siete modelos con estancia hospitalaria media como variable dependiente y las respectivas variables independientes: complejidad, oportunidad de apoyos diagnósticos, disponibilidad de insumos, casos de estancia prolongada y capacidad financiera. Se seleccionó el mejor modelo usando los criterios de ajuste Akaike e información Bayesiana, junto con las medidas de significancia global y significancia individual de los coeficientes. Se realizaron pruebas estadísticas de validez del modelo y se calcularon los coeficientes estandarizados. Resultados: Los valores medios de las variables más relevantes y su desviación estándar (de) fueron: estancia hospitalaria media, 8,09 días (de = 0,40); complejidad por consumo de recursos, 1,28 unidades (de = 0,07); apoyos diagnósticos, 90,74 mil estudios (de = 10,05); casos de estancia extrema, 4,36 % (de = 0,70), y complejidad por casuística, 1 (de = 0,03). Significancia global F = 55,2, p< 0,001. Significancia de los coeficientes: complejidad por consumo de recursos, p< 0,01; apoyos diagnósticos y casos de estancia extrema, p< 0,001; complejidad por casuística, p< 0,05. Coeficientes estandarizados: complejidad por consumo de recursos, 0,35; apoyos diagnósticos, 0,35; casos de estancia extrema, 0,26, y complejidad por casuística, 0,24. R2 ajustado 0,82. Conclusión: Los determinantes de la estancia hospitalaria en orden de importancia son: complejidad por consumo de recursos, apoyos diagnósticos, casos de estancia extrema, complejidad por casuística, inventario disponible y ganancias brutas.
Objective: To establish and quantify the determinants of hospital stay in a high complexity university hospital in Medellin between 2013 and 2018, assess their importance, and model the expected length of stay. Methodology: Retrospective analytical observational study of aggregate data. While following the method step by step, seven models were used, where mean hospital stay was the dependent variable and the respective independent variables were complexity, timeliness of diagnostic procedures, availability of supplies, cases of prolonged stay and financial capacity. The best model was selected using the Akaike and Bayesian information criterion, along with measures of both overall significance and individual significance of the coefficients. Statistical tests of model validity were performed and standardized coefficients were calculated. Results: The mean values of the most relevant variables and their standard deviation (SD) were: mean hospital stay, 8.09 days (SD = 0.40); complexity by resource consumption, 1.28 units (SD = 0.07); diagnostic procedures, 90.74 thousand studies (SD = 10.05); cases of extremely prolonged stay, 4.36% (SD = 0.70), and complexity by casuistry, 1 (SD = 0.03). Overall significance: F = 55.2, p < 0.001. Significance of coefficients: complexity by resource consumption, p < 0.01; diagnostic procedures and cases of extremely prolonged stay, p < 0.001; complexity by casuistry, p < 0.05. Standardized coefficients: complexity by resource consumption, 0.35; diagnostic procedures, 0.35; cases of extremely prolonged stay, 0.26; and complexity by casuistry, 0.24. Adjusted R2 0.82. Conclusion: In order of importance, the determinants of hospital stay are complexity by resource consumption, diagnostic procedures, extremely prolonged stay, complexity by casuistry, available inventory and gross profit.
Objetivo: Estabelecer e quantificar os determinantes da permanência hospitalar em um hospital universitário de alta complexidade de Medellín, entre 2013 e 2018, valorar sua importância e fazer a modelação da permanência esperada. Metodologia: Estudo observacional analítico retrospectivo de dados agregados. Seguindo o método passo a passo, foram aplicados sete modelos com permanência hospitalar média como variável dependente e as respectivas variáveis independentes: complexidade, oportunidade de apoios diagnósticos, disponibilidade de insumos, casos de permanência prolongada e capacidade financeira. Selecionou-se o melhor modelo usando os critérios de ajuste Akaike e informação Bayesiana, junto com as medidas de significância individual dos coeficientes. Realizaram-se provas estatísticas de validade do modelo e calcularam-se os coeficientes padronizados. Resultados: Os valores médios das variáveis mais relevantes e seu desvio-padrão (DP) foram: permanência hospitalar média, 8.09 dias (DP = 0,40); complexidade por consumo de recursos, 1,28 unidades (DP = 0,07); apoios diagnósticos, 90,74 mil estudos (DP = 10,05); casos de permanência extrema, 4,36 % (DP = 0,70), e complexidade por casuística, 1 (DP = 0,03). Significância global F = 55,2, p < 0,001. Significância dos coeficientes: complexidade por consumo de recursos, p < 0,01; apoios diagnósticos e casos de permanência extrema p < 0,001; complexidade por casuística, p < 0,05. Coeficientes padronizados: complexidade por consumo de recursos, 0,35; apoios diagnósticos, 0,35; casos de permanência extrema, 0,26 e complexidade por casuística, 0,24. R2 ajustado 0,82. Conclusão: Os determinantes da permanência hospitalar em ordem de importância são: complexidade por consumo de recursos, apoios diagnósticos, casos de permanência extrema, complexidade por casuística, inventário disponível e lucros brutos.
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Objective:To analyze the influencing factors of the medical insurance balance of hospitalization expenses for gastric cancer surgery patients under DRG payment, for reference for promoting the reform of DRG payment in public hospitals and controlling hospitalization expenses reasonably.Methods:The gastric cancer patients enrolled in the gastroenterology department of a tertiary comprehensive hospital from January to July 2022 were selected as the research subjects. The indicators such as patient age, medical insurance balance, hospitalization expenses and their composition were extracted from the hospital information management system and the medical insurance settlement system a certain city. Descriptive analysis was conducted for all data, and stepwise multiple linear regression was used to analyze the influencing factors of patients′ medical insurance balance. Monte Carlo simulation method was used to simulate different combination scenarios of various influencing factors to analyze the probability of medical insurance balance.Results:A total of 205 patients were contained, including 117 in the medical insurance balance group and 88 in the loss group. The difference in hospitalization expenses and medical insurance balance between the two groups of patients were statistically significant ( P<0.05). The intervention of medical insurance specialists, correct DRG enrollment, parenteral nutrition preparation costs, anti infective drug costs, examination costs, and consumables costs were the influencing factors of patient medical insurance balance ( P<0.05). Through Monte Carlo simulation verification, patients with different cost parenteral nutrition preparations, or different anti infective drug schemes had the higher probability of medical insurance balance in the scenario where the medical insurance commissioner intervenes and the DRG enrollment was correct. Conclusions:The hospital adopted interventions from medical insurance specialists to ensure the correct DRG enrollment of patients, accurate use of parenteral nutrition and anti infective drugs, and reasonable control the cost of examinations and consumables, which could increase the probability of medical insurance balance for gastric cancer surgery patients. In the future, hospitals should further promote the procurement of drug consumables in bulk, reduce unnecessary examinations, develop standardized perioperative nutritional interventions and anti infection treatment pathways, ensure the accuracy of DRG enrollment, optimize clinical diagnosis and treatment pathways to improve the efficiency of medical insurance fund utilization and provide high-quality medical services for patients.
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Objective:To improve the evaluation method of hospital beds efficiency based on diagnosis-related groups (DRG), and to provide a basis for hospitals to allocate beds reasonably and improve bed efficiency.Methods:Taking a tertiary hospital in Beijing as the research object, the types of beds were evaluated by the beds utilization matrix with the time consumption index as the X-axis and the bed utilization rate as the Y-axis. The types of beds in the department were divided into efficiency type, pressure type, turnover type, and idle type. The efficiency of medical services and the level of diagnosis and treatment were evaluated by the weight of DRG per bed. The calculation method of theoretical number of beds was improved by incorporating hospital case mix index as a risk adjustment factor into the formula to evaluate the status of beds allocation. Combining the bed type, DRG weight per bed, and bed allocation status, the improvement emphasis and management strategy of bed utilization could be comprehensively analyzed.Results:Among the 24 departments in the hospital, there were 5, 9, 1 and 9 departments being efficiency type, pressure type, turnover type and idle type, respectively. The weight per bed of 11 departments was higher than the average level of the hospital. There were 16, 5, and 3 departments with appropriate, fewer, and excessive beds, respectively.Conclusions:The comprehensive analysis of beds utilization type, allocation status and weight of each bed based on DRG is an effective method to evaluate the efficiency of hospital beds, and can provide decision-making basis for hospital bed resource allocation, hospital operation focus adjustment, and subject development planning.
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Objective:To explore the influencing factors of hospitalization cost of acute myeloid leukemia, to group the cases based on decision tree model and to provide reference for improving the DRG management in this regard.Methods:Homepage data were retrieved from the medical records with acute myeloid leukemia as the main diagnosis (the top four ICD codes were C92.0, C92.4, C92.5, and C93.0). These patients were discharged from the clinical hematology department of the Fujian Institute of Hematology from January 2020 to December 2021. Then the influencing factors of hospitalization expenses were identified using Wilcoxon rank sum test or Kruskal-Wallis rank sum test and multiple linear stepwise regression analysis, with such factors used as classification nodes. The decision tree model of χ2 automatic interactive testing method was used to group the cases so included. At the same time, the included cases were grouped according to the trial run C-DRG version in Fujian province, for comparison of the differences between the two grouping methods. Results:The length of stay, the type of treatment, whether associated complications and age of patients were found as the influencing factors for the hospitalization costs of patients with acute myeloid leukemia, and such factors were included in the decision tree model to form 9 case mixes. The variance reduction of this model was 75.77%, featuring a high inter-group heterogeneity, and the coefficient of variation was 0.33-0.61, featuring a low in-group difference. The patients were divided into two groups according to the C-DRG version in Fujian province. The variance reduction of this method was 27.57%, featuring a low inter-group heterogeneity, and the coefficients of variation were 0.59 and 1.25, featuring high in-group difference.Conclusions:The cases of acute myeloid leukemia were grouped based on length of stay, type of treatment, whether accompanied by complications, and age proved reasonable enough to serve as reference for DRG management and cost control of this disease.
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In order to curb the excessive growth of medical expenses, the United States has initiated payment reform of diagnosis-related groups (DRG) since 1983, and developed a series of complementary measures to address issues such as overcoding and declining healthcare service quality which were exposed during the reform. The authors discussed the implementation of DRG payment reform in the United States, namely the case-mix specialization of medical institutions and the reduction of costs, as well as the relationship between the two. On this basis, the authors suggested that when implementing reforms to the medical insurance payment system in China, it is imperative to avoid such loopholes as overcoding by medical institutions and excessive pursuit of efficiency at the expense of quality control, as well as the decline of comprehensive rescue capability and quality of care incurred by the exacerbated specialization.
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In recent years, the rapid increase in cancer treatment costs in China had brought a huge economic burden to society, and it was urgent to standardize the rational application of anti-tumor drugs. In the context of the reform of group payment related to disease diagnosis, a tertiary first-class hospital focused on the needs of patients and guided by value-based healthcare, established a professional and normalized refined anti-tumor drug management system, setted up a multidisciplinary diagnosis and treatment team, and promoted " Internet plus pharmaceutical services" in December 2018.From 2019 to 2021, the proportion of hospital drugs were 30.8%, 30.1%, and 27.3%, respectively. The amount of money spent on anti-tumor drugs were 83.25 million yuan, 76.41 million yuan, and 62.48 million yuan, respectively, showing a decreasing trend year by year. The practice of refined management of anti-tumor drugs fully reflected the core concept of value based healthcare, achieving closed-loop management of the entire process of drugs, improving the level of rational drug use, reducing the economic burden on patients, and providing reference for improving the level of rational use of anti-tumor drugs in public hospitals.
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RESUMO Objetivo: verificar a associação entre peso ao nascer, idade gestacional e diagnósticos médicos secundários no tempo de permanência hospitalar de recém-nascidos prematuros. Métodos: estudo transversal, com 1.329 prontuários de recém-nascidos no período de julho de 2012 a setembro de 2015, em dois hospitais de Belo Horizonte, que utilizam o sistema Diagnosis Related Groups Brasil. Para determinar um ponto de corte para o peso ao nascer e a idade gestacional no nascimento que melhor determinasse o tempo de internação, foi utilizada a curva Receive Operator Characteristic. Posteriormente, utilizou-se o teste de análise de variância e teste de Duncan para a comparação entre a média de tempo de permanência hospitalar. Resultados: a prematuridade sem problemas maiores (DRG 792) foi a categoria mais prevalente (43,12%). O maior tempo médio de internação foi de 34,9 dias, identificado entre os recém-nascidos prematuros ou com síndrome da angústia respiratória (DRG 790). A combinação de menor peso ao nascer e menor IG ao nascimento apresentou o maior risco de permanência hospitalar, aumentada quando comparados aos demais perfis formados para esse DRG. Conclusão: os achados poderão direcionar a assistência em relação à mobilização de recursos físicos, humanos e de bens de consumo, além da análise crítica de condições que influenciam os desfechos clínicos. A possibilidade da otimização do uso desses recursos hospitalares aliada à melhoria da qualidade dos atendimentos e da segurança dos pacientes está associada à minimização do tempo de permanência hospitalar e da carga de morbidade e mortalidade neonatal.
RESUMEN Objetivo: verificar la asociación entre el peso al nacer, la edad gestacional y los diagnósticos médicos secundarios en la duración de la estancia hospitalaria de los recién nacidos prematuros. Métodos: estudio transversal, con 1.329 registros de recién nacidos de julio de 2012 a septiembre de 2015, en dos hospitales de Belo Horizonte, que utilizan el sistema Diagnosis Related Groups Brasil. Para determinar un punto de corte para el peso al nacer y la edad gestacional al nacer que mejor determina la duración de la estadía, se utilizó la curva Receive Operator Characteristic. Posteriormente, se utilizó la prueba de análisis de varianza y la prueba de Duncan para comparar la duración media de la estancia hospitalaria. Resultados: la prematuridad sin mayores problemas (DRG 792) fue la categoría más prevalente (43,12%). La estancia media más larga fue de 34,9 días, identificada entre los recién nacidos prematuros o aquellos con síndrome de dificultad respiratoria (DRG 790). La combinación de menor peso al nacer y menor IG al nacer presentó el mayor riesgo de estancia hospitalaria, que se incrementó en comparación con los otros perfiles formados para este DRG. Conclusión: los hallazgos pueden orientar la atención en relación con la movilización de recursos físicos, humanos y de bienes de consumo, además del análisis crítico de las condiciones que influyen en los resultados clínicos. La posibilidad de optimizar el uso de estos recursos hospitalarios, aliada a mejorar la calidad de la atención y la seguridad del paciente, está asociada a minimizar la duración de la estancia hospitalaria y la carga de morbilidad y mortalidad neonatal.
ABSTRACT Objective: to verify the association between birth weight, gestational age, and secondary medical diagnoses in the length of hospital stay of premature newborns. Methods: cross-sectional study, with 1,329 medical records of newborns from July 2012 to September 2015, in two hospitals in Belo Horizonte, which use the Diagnosis Related Groups Brasil system. To determine a cutoff point for birth weight and gestational age at birth that best determined the length of hospital stay, the Receive Operator Characteristic curve was used. Subsequently, the analysis of variance test and Duncan's test were used to compare the mean length of hospital stay. Results: prematurity without major problems (DRG792) was the most prevalent category (43.12%). The longest mean length of hospital stay was 34.9 days, identified among preterm infants or infants with respiratory distress syndrome (DRG 790). The combination of lower birth weight and lower GA at birth presented the highest risk of hospital stay, increased when compared to the other profiles formed for this DRG. Conclusion: the findings may direct assistance in relation to the mobilization of physical, human and consumer goods resources, in addition to the critical analysis of conditions that influence clinical outcomes. The possibility of optimizing the use of these hospital resources, allied to improving the quality of care and patient safety, is associated with minimizing the length of hospital stay and the burden of neonatal morbidity and mortality.
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Humans , Infant, Newborn , Infant, Low Birth Weight , Infant, Premature , Gestational Age , Length of Stay/statistics & numerical data , Respiratory Distress Syndrome, Newborn , Medical Records , Cross-Sectional Studies , Diagnosis-Related GroupsABSTRACT
ABSTRACT BACKGROUND: Multimorbidity due to non-communicable chronic diseases (NCDs) constitutes a significant challenge for healthcare systems. To attenuate its impacts, it is essential to identify the sociodemographic determinants of this condition, which can discriminate against population segments that are more exposed. OBJECTIVE: To identify associations between multimorbidity conditions and sociodemographic indicators among Brazilian adults and older adults. DESIGN AND SETTING: Cross-sectional telephone-based survey in 26 Brazilian state capitals and the federal district. METHODS: The Vigitel 2013 survey was used, with data collected via a questionnaire. The outcome was multimorbidity (2, 3 or 4 NCDs), and the exposures were sociodemographic indicators (age, sex, skin color, marital status and education). The analysis consisted of multinomial logistic regression (odds ratio), stratified by age. RESULTS: Among adults, multimorbidity comprising two, three or four diseases was associated with advancing age (P < 0.001); two and three diseases, with having a partner (P = 0.004 and P < 0.001, respectively); and two, three or four diseases, with lower education (P < 0.001). Among older adults, two, three or four diseases were associated with female sex (P < 0.001); three diseases, with living with a partner (P = 0.018); two diseases, with black skin color (P = 0.016); and two or three diseases, with lower education (P < 0.001). CONCLUSIONS: To control and prevent multimorbidity, strategies for individuals with existing chronic diseases, with partners and with lower education levels are needed. Particularly for adults, advancing age should be considered; and for older adults, being a woman and having black skin color.
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Humans , Female , Aged , Noncommunicable Diseases/epidemiology , Multimorbidity , Brazil/epidemiology , Chronic Disease , Cross-Sectional StudiesABSTRACT
Objective:To explore the management experience of clinical nursing managers and to provide reference for the implementation of the reform of DRGs-PPS.Methods:15 clinical nursing managers were surveyed in an in-depth semi-structured interview by phenomenological research methods, and the data were analyzed by Colaizzi 7 analysis method.Results:Four themes were extracted: the positive effect of the reform, the value reflection of nursing work, the promotion and obstacles of nursing management during DRGS implementation.Conclusions:Clinical nursing managers, there are positive experience as well as negative experience for the implementation of the reform of DRGs-PPS, so we need to constantly improve the staff′s cognition, to maximize the value of nursing, draw support from policy guidance and third-party building platforms, optimizes the allocation of human resources, strengthen the management of consumables, promote nursing quality and cost effective integration and effective supervision, and promote healthy development of the DRGs-PPS.
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This article summarized the overview of diagnosis related groups (DRGs), the necessity of comprehensively popularizing and applying DRGs in specialized hospitals and general hospitals, the different methods and effects of nursing human resource allocation based on DRGs in specialized hospitals and general hospitals at home and abroad, and analyzed the different challenges and opportunities faced by DRGs in the implementation of human resource allocation in two types of hospitals. According to the types and characteristics of hospitals, this paper put forward some corresponding suggestions and prospects for the future, such as intelligent human resource prediction system and the construction of information sharing platform, so as to provide reference for the comprehensive promotion of DRGs in different types of hospitals in China.
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Objective:To analyze the nursing efficiency of clinical departments in general hospitals under the background of medical insurance payment reform, and to explore the methods of rational allocation of resources and improvement of service efficiency.Methods:The relevant data of Qingdao Municipal Hospital from January to December 2020 were selected. The nursing efficiency of 20 clinical departments in the hospital was evaluated by data envelopment analysis (DEA) and Malmquist index. The input indexes were the number of nurses, the number of hours, the number of open beds. The output indicators were number of discharges, average length of stay, and case mix index.Results:In 2020, the average comprehensive efficiency, pure technical efficiency and scale efficiency of 20 clinical departments in the hospital were 0.845, 0.913 and 0.923, respectively.The total factor production efficiency index of the hospital from February to April, from May to September and from October to November were all greater than 1, but the total factor production efficiency index from January to December was less than 1. There were 5 departments with total factor production efficiency index greater than 1.Conclusions:The comprehensive nursing efficiency of clinical departments needs to be improved, and diagnosis related groups (DRG) poses a more severe challenge to the efficiency management of internal medicine nursing. The COVID-19 epidemic has a great impact on the efficiency of nursing services.It is feasible to evaluate the nursing efficiency with DEA model and DRG related indicators.Combined with the disease characteristics and nursing work characteristics of patients admitted to the department, the deep causes should be explored, comprehensive measures should be taken to improve nursing efficiency, precise nursing service transformation based on the reform of medical insurance payment mode should be explored, Internet + nursing service should be promoted, and the improvement of nursing resource efficiency under the status of normal epidemic prevention and control should be paid attention to.
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Objective@#To investigate the healthcare expenditures and self-payment among patients with lung cancer in Wenling City before and after implementation of diagnosis-related groups (DRGs), so as to provide the evidence for controlling medical costs and relieving burdens of patients with lung cancer. @*Methods@#The basic data and healthcare expenditures of lung cancer patients that were definitively diagnosed from 2015 to 2019 and covered by medical insurance were captured from the cancer registration database of Wenling Center for Disease Control and Prevention and the database of chronic and specific diseases in Wenling Bureau of Medical Insurance. The changes of outpatient expenditures, inpatient expenditures and self-payments were compared before (2015-2016) and after implementation of DRGs (2018-2019) among lung cancer patients.@*Results@#Totally 4 947 lung cancer patients covered by medical insurance were enrolled in this study, including 3 052 males (61.69%) and 1 895 females (38.31%), with a mean age of (64.88±11.64) years. The annual mean healthcare expenditure was 56 675.85 Yuan per capita during the period between 2015 and 2016, in which 14.48% were outpatient expenditures and 85.52% were inpatient expenditures, and the annual mean healthcare expenditure was 38 702.94 Yuan per capita during the period between 2018 and 2019 (a 31.71% reduction as compared to that in 2015 and 2016), in which 24.49% were outpatient expenditures and 75.51% were inpatient expenditures. The proportions of outpatient expenditures, inpatient expenditures and total self-payments consisted of 25.38%, 32.49% and 29.67% of total healthcare expenditures in 2018 and 2019, which were significantly lower than those (50.84%, 50.96% and 50.95%, respectively) in 2015 and 2016 (χ2=13.741, P<0.001; χ2=7.015, P=0.008; χ2=9.340, P=0.002).@*Conclusions@#The annual mean healthcare expenditures per capita and the proportion of self-payment reduce among lung cancer patients covered by medical insurance following implementation of DRGs.
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Objective:To understand the medical cost ratio and its influencing factors of breast cancer chemotherapy and molecular targeted therapy in a hospital, for reference for reasonable control of medical cost.Methods:The first page data of all breast cancer chemotherapy and molecular targeted therapy cases in a tertiary hospital from January to June 2021 were selected to extract the data of age, hospitalization expenses, hospitalization time, complications or complications. The influence of each index on the distribution of medical expense ratio was analyzed by single factor analysis and chi-square test was used for comparison between groups.Results:A total of 3 109 cases of chemotherapy and molecular targeted therapy for breast malignant tumors were included, of which very low-rate, low-rate, high-rate and very high-rate accounted for 7.04%(219 cases), 58.32%(1 813 cases), 30.81%(958 cases) and 3.83%(119 cases) respectively. In addition to the way of admission, there were significant differences in the distribution of medical cost rates under different ages, time consumption index, complications or concomitants, admission departments, treatment methods and medical insurance types( P<0.01). Conclusions:There were many factors affecting the medical cost rate of breast malignant tumors. Relevant departments should expand the pilot scope of DRG payment, promote the multi-disciplinary diagnosis and treatment mode of tumors, refine the DRG grouping scheme, to provide standardized and homogeneous diagnosis and treatment services for tumor patients, and reasonably control the excessive growth of medical costs.
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OBJECTIVE To explor e the effect of clinical pharmacists participatin g in fine management of pharmaceutical affairs among the inpatients in the department of gastroenterology based on diagnosis related groups （DRG）data. METHODS The discharged patients in the gastroenterology department of our hospital were selected as the research objects to compare the changes of DRG indicators and hospitalization related indicators before （from April to December 2019）and after （from April to December 2020 and from April to December 2021） pharmacists participating in fine management of pharmaceutical affairs in the gastroenterology department. The key DRG with the highest number of enrolled cases and DRG cases of the total cost overrun were analyzed to explore the deviation of various costs. The rationality of drug use was evaluated for the cases in each DRG that exceeded the benchmark hospital payment standard by three times ，with the help of prescription doctor ’s advice review. RESULTS In the first year of intervention ，the case combination index value of gastroenterology department was increased ，meanwhile，the cost consumption index ，time consumption index and average hospital stay were decreased significantly （P＜0.01）. In the second year of intervention ，total weight of the cases in gastroenterology department was increased ，while cost consumption index ，time consumption index ，hospitalization cost per time ，drug cost per time and average hospital stay were all decreased significantly ， compared with before intervention （P＜0.01）. Among the top five DRG ，the drug cost per time in the GZ 15，GZ13 and GJ 15 were all decreased significantly in the first year of intervention ；hospitalization cost per time and drug cost per time in the GZ 15，GZ13， GJ15 and GJ 13 were all decreased significantly in the second year of intervention （P＜0.01）；after the intervention of clinical pharmacists in DRG over-expenditure cases ，the over-expenditure rate decreased significantly （P＜0.001）. CONCLUSIONS The fine management of pharmaceutical affairs in our hospital has achieved certain results and promotes the rationality of clinical drug use，and provides a new entry point for the cost control and utilization of medical institutions under the background of 〔2020〕68号） DRG.
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OBJE CTIVE To explore the rational application and management of antibiotics in burn department of our hospital based on disease diagnosis related groups （DRGs）. METHODS Patients discharged from the burn department of our hospital from July 2020 to June 2021 were selected as the research objects to collect DRG data. The overall application of antibiotics in DRG group with more than 10 cases were analyzed ，and the application of antibiotics in typical disease groups were evaluated horizontally and vertically. RESULTS Among 3 732 discharged cases in the burn department of our hospital ，a total of 3 515 cases were included in 66 DRG groups ，21 DRG groups of which were included in the study. Among 21 DRG groups ，the maximum antibiotics use density （AUD）of antibiotics was 102.20 DDDs/（100 person·d）in AH 11 group，the utilization ratio of antibiotics was 100％，and the combined use rate of antibiotics was 81.82％；case-mix index （CMI）value was 11.49. The minimum AUD was 1.01 DDDs/（100 person·d）in XR 19 group，the utilization ratio of antibiotics was 5.06％，and the combined use rate of antibiotics was 0；CMI value was 0.81. Within the same core group ，AUD increased with the increase of CMI. The horizontal comparison and analysis of WB 11 group showed that there was a large gap in AUD among different physicians. The vertical comparison of AUD in WB11 group showed relatively small changes over time. CONCLUSIONS The horizontal and vertical evaluation of antibiotics based on DRGs can provide new clues for the control of antibiotics and help to realize the fine specialized management of antibiotics.
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【Objective】 To explore the application of the indicator system of disease diagnosis related groups (DRGs) on the management of clinical blood use in hospitals. 【Methods】 Statistics information on clinical blood use as well as DRGs indexes including case mixed index (CMI), DRG grouping and corresponding weights among patients discharged during 2017 to 2019 from a hospital were recorded. RBC usage per 100 discharged patients after CMI adjustment and DRGs with a larger number of annual blood use cases were compared to make recommendations on the management of clinical blood use in the hospital. 【Results】 From 2017 to 2019, the number of blood users and patients discharged from our hospital kept growing, while the total blood use, RBC usage per 100 discharged patients after CMI adjustment showed a decreasing trend. There were 6 DRGs with the top five blood users from 2017 to 2019, and the top five DRGs accounted for 0.79%(5/629)in 2019, involving 1 611 blood use cases, accounted for 37.49%(1 611/4 297)of all cases of blood use in the year. 【Conclusion】 The application of the indicator system of DRGs to evaluate the clinical use of blood in hospitals is conductive to improve the rationality of clinical blood use, and can provide recommendations for the management of clinical blood use.
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Objective:To evaluate medical service performance of the DRG pilot public hospitals in a city was carried out by using the entropy weight TOPSIS and the rank sum ratio method, so as to provid the decision-making basis for the DRG pilot reform and the high-quality development of public hospitals.Methods:The case-mix index(CMI) value, the number of DRG groups, the time consumption index, the cost consumption index, and the low-risk mortality rate were obtained from the first page of medical records of 21 DRG pilot hospitals in a city from January 2019 to December 2020.The entropy weight TOPSIS method and the rank sum ratio method were used to evaluate the medical services performance of 21 DRG pilot hospitals.Results:The CMI value and the number of DRG groups in 21 DRG pilot hospitals increased from 0.81 and 353 in 2019 to 0.86 and 369 in 2020 respectively, and the time consumption index decreased from 0.98 to 0.92. The entropy weight TOPSIS method and the rank sum ratio method had good consistency and correlation with the hospital performance evaluation results from 2019 to 2020 ( P<0.05). The overall ranking of the performance evaluation of pilot hospitals in 2020 was higher than that in 2019, the tertiary hospitals were higher than secondary hospitals, and hospitals were higher than maternal and child health care hospitals. Conclusions:The DRG payment reform had promoted the quality and efficiency of medical services in the city.
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Objective:To clarify the immediate administration issues faced by hospitals in China in their implementing the diagnosis-related groups(DRG) payment as a reference for the reform.Methods:By using " DRG" , " hospital" , and " administration" as search terms, the authors systematically retrieved literature data from CNKI, Wanfang Data, PubMed, Embase and Web of Science from the establishment of the database to April 30, 2022. Based on such data, administration issues pertaining to the reform process were extracted and built into a co-word matrix. The social network analysis was used to measure the network density and network centrality of these administration issues. The entropy weight-technique for order preference by similarity to ideal solution(TOPSIS) method was used to comprehensively evaluate the indicator results of network centrality indicators.Results:Of the 32 literatures included, 25 issues in hospital administration during the reform of DRG payment method were extracted. As shown in the social network analysis, the network density was 0.717, while the top issues ranking by degree centrality, betweenness centrality and closeness centrality, were inappropriate main diagnosis selection(68, 8.842, 25), imperfect DRG grouping device setting(54, 8.361, 26), imprecise recording of other disease diagnosis and surgical operations(60, 6.885, 26), and poor professional knowledge of medical record managers(54, 6.991, 25). The top four issues as shown in the entropy weight-TOPSIS analysis were inappropriate main diagnosis selection(1.000), imperfect DRG grouping device setting(0.871), imprecise recording of other disease diagnosis and surgical operations(0.803), and poor professional knowledge of medical record managers(0.787).Conclusions:Fill-out errors of medical record homepage, imperfect formulation of DRG grouping plans and poor professional knowledge of medical record manage team, rank the tope administration issues of high priority in implementing the reform of DRG payment methods. It is imperative to strengthen quality control of the medical record homepages, to scientifically formulate the DRG grouping plans, and to improve the construction of medical records professional team, in an effort to the further smooth and orderly implementation of the reform.
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China has entered the task stage of comprehensive medical insurance payment reform, but there are problems restricting the development of innovative medical technology in the reform of diagnosis-related groups(DRG) payment system. The author introduced the international definition and scope of innovative medical technology, and summarized the preconditions and payment policy of short-term payment of innovative medical technology under the DRG payment system; And put forward suggestions in line with China′s actual situation, including clarifying the definition of innovative medical technology, setting access conditions for additional payment or actual payment, setting up special transition funds for high-value innovative drugs, clarifying the payment amount of innovative medical technology, and formulating payment strategies for innovative medical technology.
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The United States is the first country to implement DRG payment in the world, and its MS-DRG(medical severity DRG)version has been used for reference by many countries and regions. In order to ensure the universal applicability of DRG grouping scheme and adapt to the clinical reality, the MS-DRG grouping scheme should follow such grouping rules as similarity of resource consumption, clinical similarity and easy management of DRG groups. This paper presented the evolution of MS-DRG and expounded on its grouping rules in detail, for reference in the amendment and improvement of grouping rules in CHS-DRG.