This study explores the implementation effect of the diagnosis-based point payment policy in medical insurance.A retrospective analysis was performed on the clinical data of discharged patients.Taking January 1,2018,a...This study explores the implementation effect of the diagnosis-based point payment policy in medical insurance.A retrospective analysis was performed on the clinical data of discharged patients.Taking January 1,2018,as the time boundary for policy implementation,three core indicators before and after the policy reform,including average length of hospital stay,average hospitalization cost,and readmission rate,were compared.The results showed that the average hospital stay and average hospitalization cost were significantly reduced after the implementation of the diagnosis-based point payment policy.In conclusion,the medical insurance payment reform based on disease points can effectively shorten patients’hospital stays and reduce inpatient treatment costs,thereby offering favorable practical value.Nevertheless,the policy’s implementation still faces deficiencies in refined management.It is essential to improve the refined management system for disease classification and further enhance the implementation quality and comprehensive effectiveness of medical insurance payment policies.展开更多
BACKGROUND In 2018,the diagnosis-related groups prospective payment system(DRGs-PPS)was introduced in a trial operation in Beijing according to the requirements of medical and health reform.The implementation of the s...BACKGROUND In 2018,the diagnosis-related groups prospective payment system(DRGs-PPS)was introduced in a trial operation in Beijing according to the requirements of medical and health reform.The implementation of the system requires that more than 300 disease types pay through the DRGs-PPS for medical insurance.Colorectal cancer(CRC),as a common malignant tumor with high prevalence in recent years,was among the 300 disease types.AIM To investigate the composition and factors related to inpatient medical expenditure in CRC patients based on disease DRGs,and to provide a basis for the rational economic control of hospitalization expenses for the diagnosis and treatment of CRC.METHODS The basic material and cost data for 1026 CRC inpatients in a Grade-A tertiary hospital in Beijing during 2014-2018 were collected using the medical record system.A variance analysis of the composition of medical expenditure was carried out,and a multivariate linear regression model was used to select influencing factors with the greatest statistical significance.A decision tree model based on the exhaustiveχ^2 automatic interaction detector(E-CHAID)algorithm for DRG grouping was built by setting chosen factors as separation nodes,and the payment standard of each diagnostic group and upper limit cost were calculated.The correctness and rationality of the data were re-evaluated and verified by clinical practice.RESULTS The average hospital stay of the 1026 CRC patients investigated was 18.5 d,and the average hospitalization cost was 57872.4 RMB yuan.Factors including age,gender,length of hospital stay,diagnosis and treatment,as well as clinical operations had significant influence on inpatient expenditure(P67 years,and underwent surgery and chemotherapy or radiotherapy had the highest medical cost.In addition,the standard cost and upper limit cost in the 12 groups were calculated and re-evaluated.CONCLUSION It is important to strengthen the control over the use of drugs and management of the hospitalization process,surgery,diagnosis and treatment to reduce the economic burden on patients.Tailored adjustments to medical payment standards should be made according to the characteristics and treatment of disease types to improve the comprehensiveness and practicability of the DRGs-PPS.展开更多
BACKGROUND Data from the World Health Organization’s International Agency for Research on Cancer reported that China had the highest prevalence of cancer and cancer deaths in 2022.Liver and pancreatic cancers account...BACKGROUND Data from the World Health Organization’s International Agency for Research on Cancer reported that China had the highest prevalence of cancer and cancer deaths in 2022.Liver and pancreatic cancers accounted for the highest number of new cases.Real-world data(RWD)is now widely preferred to traditional clinical trials in various fields of medicine and healthcare,as the traditional research approach often involves highly selected populations and interventions and controls that are strictly regulated.Additionally,research results from the RWD match global reality better than those from traditional clinical trials.AIM To analyze the cost disparity between surgical treatments for liver and pancreatic cancer under various factors.METHODS This study analyzed RWD 1137 cases within the HB1 group(patients who underwent pancreatectomy,hepatectomy,and/or shunt surgery)in 2023.It distinguished different expenditure categories,including medical,nursing,technical,management,drug,and consumable costs.Additionally,it assessed the contribution of each expenditure category to total hospital costs and performed cross-group comparisons using the non-parametric Kruskal–Wallis test.This study used the Steel–Dwass test for post-hoc multiple comparisons and the Spearman correlation coefficient to examine the relationships between variables.RESULTS The study found that in HB11 and HB13,the total hospitalization costs were significantly higher for pancreaticoduodenectomy than for pancreatectomy and hepatectomy.Although no significant difference was observed in the length of hospital stay between patients who underwent pancreaticoduodenectomy and pancreatectomy,both were significantly longer than those who underwent liver resection.In HB15,no significant difference was observed in the total cost of hospitalization between pancreaticoduodenectomy and pancreatectomy;however,both were significantly higher than those in hepatectomy.Additionally,the length of hospital stay was significantly longer for patients who underwent pancreaticoduodenectomy than for those who underwent pancreatectomy or liver resection.CONCLUSION China Healthcare Security Diagnosis Related Groups payment system positively impacts liver and pancreatic cancer surgeries by improving medical quality and controlling costs.Further research could refine this grouping system and ensure continuous effectiveness and sustainability.展开更多
目的分析DRG分组方案在实际病例分组中存在的问题,提出对策,为完善医保支付病例分组方案提供依据。方法选取5家医院肺部肿瘤病例11987例,按照国家医疗保障局发布的DRG分组方案1.0版和2.0版分别对病例进行分组,分析入组中存在的具体问题...目的分析DRG分组方案在实际病例分组中存在的问题,提出对策,为完善医保支付病例分组方案提供依据。方法选取5家医院肺部肿瘤病例11987例,按照国家医疗保障局发布的DRG分组方案1.0版和2.0版分别对病例进行分组,分析入组中存在的具体问题,采用单因素分析、多元线性回归分析等方法分析未入组病例的费用影响因素,比较DRG1.0版和DRG2.0版的入组率、各细分组的变异系数(coefficient of variation,CV)。结果按照DRG2.0版,入组率为92.22%,高于DRG1.0版入组率85.29%。在按照DRG2.0版未入组的病例中,228例手术病例、136例诊断或治疗性操作病例在DRG2.0版分组标准中无名称或编码,只能分入非手术组;535例手术或操作病例分入非肺部疾病组,其中79例病例按第二、第三手术或操作可以分入肺肿瘤不同的分组。EJ13组、EJ15组,以及ET11组、ET13组、ET15组病例费用出现倒挂现象。对于ET组、EV组、ER组,病例费用影响因素线性回归结果中R2的调整值较低(0.325),ER组引入DIP分组理念并重新分组后,部分细分组CV值下降明显。结论DRG2.0版较DRG1.0版分组更细化,更合理,但需要完善和优化分组方案,包括将手术病例、治疗性操作病例纳入疾病细分组,对第二、第三手术或操作能够入组的病例按照第一手术或操作入组的原理纳入分组,以及对ER组按DIP分组原理进行再细分。展开更多
目的利用人工智能构建基于疾病诊断相关分组(diagnosis related groups,DRG)/按病种分值付费(diagnosis-intervention packet,DIP)支付制度的国际疾病分类编码(international classification of diseases,ICD)质控体系,分析其在医院病...目的利用人工智能构建基于疾病诊断相关分组(diagnosis related groups,DRG)/按病种分值付费(diagnosis-intervention packet,DIP)支付制度的国际疾病分类编码(international classification of diseases,ICD)质控体系,分析其在医院病案质量管理中的应用效果,探索可持续、可推广的编码质量管理新模式。方法从梅州市人民医院2024年1—6月的电子病历系统中选取1200份住院病案以人工编码作为对照组,2024年7—12月的电子病历系统中选取1200份住院病案以人工智能质控平台结合人工编码作为试验组,邀请专家对试验组和对照组的编码质量进行人工质量检查,观察2组病案编码准确率、编码效率与医保结算时间、医疗费用结算损失减少金额、DIP核心病种入组率等指标进行比对。结果对照组的编码准确率为83.58%,低于试验组的99.08%,差异有统计学意义(P<0.05)。对照组医保费用结算损失为92万元(占医保费用基金不合理支付总额比约27.88%),高于试验组的21万元(占医保费用基金不合理支付总额比约12.73%)。对照组单份病历平均编码耗时为(28.61±5.74)min,高于试验组的(14.33±3.21)min,差异有统计学意义(P<0.05)。对照组的DIP核心病种入组率为83.84%,低于试验组的95.58%,差异有统计学意义(P<0.05)。结论基于人工智能下ICD编码质控模式可以快速提升编码质量和效率,为DRG/DIP支付制度的顺利推行提供了有力支撑,具有重要的应用价值。展开更多
疾病诊断相关分组(diagnosis related groups,DRG)作为一种新型医疗管理工具,在规范医疗行为、控制医疗成本和提高医疗资源利用率等方面效能显著。本研究通过采用优势、劣势、机会、威胁(strengths,weaknesses,opportunities,threats,SW...疾病诊断相关分组(diagnosis related groups,DRG)作为一种新型医疗管理工具,在规范医疗行为、控制医疗成本和提高医疗资源利用率等方面效能显著。本研究通过采用优势、劣势、机会、威胁(strengths,weaknesses,opportunities,threats,SWOT)分析,综合评估了DRG应用于血吸虫病防治领域的内、外部因素,探讨其潜在影响、面临的挑战及发展机遇。SWOT分析结果表明,DRG在优化资源配置、规范诊疗、减少费用支出方面具有较大潜力,但也面临分组难度大、基层信息化程度低等障碍。因此,需优化DRG分组并加大基层投入,使其更好地适应血吸虫病防治的特殊需求,提升血吸虫病防治效果。展开更多
目的探讨按疾病诊断相关分组(diagnosis related groups,DRG)付费背景下脑缺血患者住院费用结构和医保费用情况。方法选取桂林医科大学第二附属医院2021年1月—2023年12月核心疾病诊断相关分组编码为BR2(脑缺血性疾患)病组4975例患者的...目的探讨按疾病诊断相关分组(diagnosis related groups,DRG)付费背景下脑缺血患者住院费用结构和医保费用情况。方法选取桂林医科大学第二附属医院2021年1月—2023年12月核心疾病诊断相关分组编码为BR2(脑缺血性疾患)病组4975例患者的病案首页为研究对象,利用描述性分析、非参数检验、logistic回归模型,分析脑缺血病例的住院费用结构及医保费用的超支与结余情况。结果研究对象中的“脑缺血性疾患”病组患者共4975例,其中男性60.94%(3032/4975),女性39.06%(1943/4975),平均年龄69(60,75)岁,平均住院时间7(5,9)d。根据患者的入组病历类型分类得知,正常倍率病例占95.20%(4736/4975),低倍率病例占3.78%(188/4975),高倍率病例占1.02%(51/4975)。“脑缺血性疾患”病组中没有进行手术的病例占93.27%(4640/4975),进行手术的占6.73%(335/4975)。住院总费用平均6396.61(4889.93,8677.99)元,医疗服务费平均753.00(524.50,1121.00)元,诊断费平均3206.85(2501.60,3856.50)元,治疗费平均0(0,16.90)元,西药费平均1466.52(786.78,2727.57)元,中药费平均434.52(143.52,800.88)元,耗材费平均220.96(105.30,292.41)元。超支组与结余组性别、住院时间、入组病历类型、有无手术的分布比较,差异均有统计学意义(P<0.05)。logistic回归分析显示,性别、住院时间、入组病历类型、是否手术为“脑缺血性疾患”病例超支与结余情况的影响因素(P<0.05)。结论“脑缺血性疾患”患者费用中诊断费占比较高,费用结构有待优化;超支病例占比较多;医保支付标准的制定有待完善。相关部门应关注诊断项目收费,减少不必要的诊断环节,科学优化临床路径,医保部门需完善支付标准的制定。展开更多
摘要This study explores the implementation effect of the diagnosis-based point payment policy in medical insurance.A retrospective analysis was performed on the clinical data of discharged patients.Taking January 1,2018,as the time boundary for policy implementation,three core indicators before and after the policy reform,including average length of hospital stay,average hospitalization cost,and readmission rate,were compared.The results showed that the average hospital stay and average hospitalization cost were significantly reduced after the implementation of the diagnosis-based point payment policy.In conclusion,the medical insurance payment reform based on disease points can effectively shorten patients’hospital stays and reduce inpatient treatment costs,thereby offering favorable practical value.Nevertheless,the policy’s implementation still faces deficiencies in refined management.It is essential to improve the refined management system for disease classification and further enhance the implementation quality and comprehensive effectiveness of medical insurance payment policies.
摘要BACKGROUND In 2018,the diagnosis-related groups prospective payment system(DRGs-PPS)was introduced in a trial operation in Beijing according to the requirements of medical and health reform.The implementation of the system requires that more than 300 disease types pay through the DRGs-PPS for medical insurance.Colorectal cancer(CRC),as a common malignant tumor with high prevalence in recent years,was among the 300 disease types.AIM To investigate the composition and factors related to inpatient medical expenditure in CRC patients based on disease DRGs,and to provide a basis for the rational economic control of hospitalization expenses for the diagnosis and treatment of CRC.METHODS The basic material and cost data for 1026 CRC inpatients in a Grade-A tertiary hospital in Beijing during 2014-2018 were collected using the medical record system.A variance analysis of the composition of medical expenditure was carried out,and a multivariate linear regression model was used to select influencing factors with the greatest statistical significance.A decision tree model based on the exhaustiveχ^2 automatic interaction detector(E-CHAID)algorithm for DRG grouping was built by setting chosen factors as separation nodes,and the payment standard of each diagnostic group and upper limit cost were calculated.The correctness and rationality of the data were re-evaluated and verified by clinical practice.RESULTS The average hospital stay of the 1026 CRC patients investigated was 18.5 d,and the average hospitalization cost was 57872.4 RMB yuan.Factors including age,gender,length of hospital stay,diagnosis and treatment,as well as clinical operations had significant influence on inpatient expenditure(P67 years,and underwent surgery and chemotherapy or radiotherapy had the highest medical cost.In addition,the standard cost and upper limit cost in the 12 groups were calculated and re-evaluated.CONCLUSION It is important to strengthen the control over the use of drugs and management of the hospitalization process,surgery,diagnosis and treatment to reduce the economic burden on patients.Tailored adjustments to medical payment standards should be made according to the characteristics and treatment of disease types to improve the comprehensiveness and practicability of the DRGs-PPS.
基金Research Center for Capital Health Management and Policy,No.2024JD09.
摘要BACKGROUND Data from the World Health Organization’s International Agency for Research on Cancer reported that China had the highest prevalence of cancer and cancer deaths in 2022.Liver and pancreatic cancers accounted for the highest number of new cases.Real-world data(RWD)is now widely preferred to traditional clinical trials in various fields of medicine and healthcare,as the traditional research approach often involves highly selected populations and interventions and controls that are strictly regulated.Additionally,research results from the RWD match global reality better than those from traditional clinical trials.AIM To analyze the cost disparity between surgical treatments for liver and pancreatic cancer under various factors.METHODS This study analyzed RWD 1137 cases within the HB1 group(patients who underwent pancreatectomy,hepatectomy,and/or shunt surgery)in 2023.It distinguished different expenditure categories,including medical,nursing,technical,management,drug,and consumable costs.Additionally,it assessed the contribution of each expenditure category to total hospital costs and performed cross-group comparisons using the non-parametric Kruskal–Wallis test.This study used the Steel–Dwass test for post-hoc multiple comparisons and the Spearman correlation coefficient to examine the relationships between variables.RESULTS The study found that in HB11 and HB13,the total hospitalization costs were significantly higher for pancreaticoduodenectomy than for pancreatectomy and hepatectomy.Although no significant difference was observed in the length of hospital stay between patients who underwent pancreaticoduodenectomy and pancreatectomy,both were significantly longer than those who underwent liver resection.In HB15,no significant difference was observed in the total cost of hospitalization between pancreaticoduodenectomy and pancreatectomy;however,both were significantly higher than those in hepatectomy.Additionally,the length of hospital stay was significantly longer for patients who underwent pancreaticoduodenectomy than for those who underwent pancreatectomy or liver resection.CONCLUSION China Healthcare Security Diagnosis Related Groups payment system positively impacts liver and pancreatic cancer surgeries by improving medical quality and controlling costs.Further research could refine this grouping system and ensure continuous effectiveness and sustainability.
摘要目的分析DRG分组方案在实际病例分组中存在的问题,提出对策,为完善医保支付病例分组方案提供依据。方法选取5家医院肺部肿瘤病例11987例,按照国家医疗保障局发布的DRG分组方案1.0版和2.0版分别对病例进行分组,分析入组中存在的具体问题,采用单因素分析、多元线性回归分析等方法分析未入组病例的费用影响因素,比较DRG1.0版和DRG2.0版的入组率、各细分组的变异系数(coefficient of variation,CV)。结果按照DRG2.0版,入组率为92.22%,高于DRG1.0版入组率85.29%。在按照DRG2.0版未入组的病例中,228例手术病例、136例诊断或治疗性操作病例在DRG2.0版分组标准中无名称或编码,只能分入非手术组;535例手术或操作病例分入非肺部疾病组,其中79例病例按第二、第三手术或操作可以分入肺肿瘤不同的分组。EJ13组、EJ15组,以及ET11组、ET13组、ET15组病例费用出现倒挂现象。对于ET组、EV组、ER组,病例费用影响因素线性回归结果中R2的调整值较低(0.325),ER组引入DIP分组理念并重新分组后,部分细分组CV值下降明显。结论DRG2.0版较DRG1.0版分组更细化,更合理,但需要完善和优化分组方案,包括将手术病例、治疗性操作病例纳入疾病细分组,对第二、第三手术或操作能够入组的病例按照第一手术或操作入组的原理纳入分组,以及对ER组按DIP分组原理进行再细分。
摘要目的利用人工智能构建基于疾病诊断相关分组(diagnosis related groups,DRG)/按病种分值付费(diagnosis-intervention packet,DIP)支付制度的国际疾病分类编码(international classification of diseases,ICD)质控体系,分析其在医院病案质量管理中的应用效果,探索可持续、可推广的编码质量管理新模式。方法从梅州市人民医院2024年1—6月的电子病历系统中选取1200份住院病案以人工编码作为对照组,2024年7—12月的电子病历系统中选取1200份住院病案以人工智能质控平台结合人工编码作为试验组,邀请专家对试验组和对照组的编码质量进行人工质量检查,观察2组病案编码准确率、编码效率与医保结算时间、医疗费用结算损失减少金额、DIP核心病种入组率等指标进行比对。结果对照组的编码准确率为83.58%,低于试验组的99.08%,差异有统计学意义(P<0.05)。对照组医保费用结算损失为92万元(占医保费用基金不合理支付总额比约27.88%),高于试验组的21万元(占医保费用基金不合理支付总额比约12.73%)。对照组单份病历平均编码耗时为(28.61±5.74)min,高于试验组的(14.33±3.21)min,差异有统计学意义(P<0.05)。对照组的DIP核心病种入组率为83.84%,低于试验组的95.58%,差异有统计学意义(P<0.05)。结论基于人工智能下ICD编码质控模式可以快速提升编码质量和效率,为DRG/DIP支付制度的顺利推行提供了有力支撑,具有重要的应用价值。
摘要疾病诊断相关分组(diagnosis related groups,DRG)作为一种新型医疗管理工具,在规范医疗行为、控制医疗成本和提高医疗资源利用率等方面效能显著。本研究通过采用优势、劣势、机会、威胁(strengths,weaknesses,opportunities,threats,SWOT)分析,综合评估了DRG应用于血吸虫病防治领域的内、外部因素,探讨其潜在影响、面临的挑战及发展机遇。SWOT分析结果表明,DRG在优化资源配置、规范诊疗、减少费用支出方面具有较大潜力,但也面临分组难度大、基层信息化程度低等障碍。因此,需优化DRG分组并加大基层投入,使其更好地适应血吸虫病防治的特殊需求,提升血吸虫病防治效果。
摘要目的探讨按疾病诊断相关分组(diagnosis related groups,DRG)付费背景下脑缺血患者住院费用结构和医保费用情况。方法选取桂林医科大学第二附属医院2021年1月—2023年12月核心疾病诊断相关分组编码为BR2(脑缺血性疾患)病组4975例患者的病案首页为研究对象,利用描述性分析、非参数检验、logistic回归模型,分析脑缺血病例的住院费用结构及医保费用的超支与结余情况。结果研究对象中的“脑缺血性疾患”病组患者共4975例,其中男性60.94%(3032/4975),女性39.06%(1943/4975),平均年龄69(60,75)岁,平均住院时间7(5,9)d。根据患者的入组病历类型分类得知,正常倍率病例占95.20%(4736/4975),低倍率病例占3.78%(188/4975),高倍率病例占1.02%(51/4975)。“脑缺血性疾患”病组中没有进行手术的病例占93.27%(4640/4975),进行手术的占6.73%(335/4975)。住院总费用平均6396.61(4889.93,8677.99)元,医疗服务费平均753.00(524.50,1121.00)元,诊断费平均3206.85(2501.60,3856.50)元,治疗费平均0(0,16.90)元,西药费平均1466.52(786.78,2727.57)元,中药费平均434.52(143.52,800.88)元,耗材费平均220.96(105.30,292.41)元。超支组与结余组性别、住院时间、入组病历类型、有无手术的分布比较,差异均有统计学意义(P<0.05)。logistic回归分析显示,性别、住院时间、入组病历类型、是否手术为“脑缺血性疾患”病例超支与结余情况的影响因素(P<0.05)。结论“脑缺血性疾患”患者费用中诊断费占比较高,费用结构有待优化;超支病例占比较多;医保支付标准的制定有待完善。相关部门应关注诊断项目收费,减少不必要的诊断环节,科学优化临床路径,医保部门需完善支付标准的制定。