RBRVS-KPI模式下公立医院绩效考核体系构建及应用

目的探讨如何将以资源为基础的相对价值比率（RBRVS）与关键绩效指标法（KPI）相结合,运用于公立医院绩效考核体系实践中。方法分析样本医院绩效考核体系的应用效果,根据医院总体目标,经过点值测算、指标选择,建立了一套具有医院特色的改良型RBRVS-KPI模式绩效考核体系。结果经实践,医疗质量和运行效率大幅度提高,在一定程度上促进了医院管理的精细化。结论RBRVS-KPI模式下的绩效考核体系较唯财务导向的绩效模式更能体现医护人员劳动价值,值得探索与推广。     

互联网医患功能沟通质量综合评价研究

在前期研究基础上,参考TOPSIS综合评价法,对我国互联网医患功能沟通质量进行综合评价。比较了不同患者主动程度组、不同医院级别组、不同医生职称组的沟通质量水平差异,认为在互联网医患沟通中,提升患者主动程度、选择高级别的医院和高职称的医生,对于促进互联网医患功能沟通质量水平提升具有重要意义。     

某院三级查房考核质量分析

目的了解三级查房中各级医师存在问题,提出改进策略。方法由7名具有高级职称的临床专家,按照统一评分标准进行观摩并打分,利用词云图分析存在问题。结果一级医师存在辅助检查解读不全面、疑难点报告不清晰、病历陈述缺项、查体手法不规范及查体前后未执行手卫生等问题;二级医师存在解答疑难问题不全面、临床思维讲解不透彻及查体纠正不到位等问题;三级医师存在对国内外最新知识进展讲解不全面及对查房内容点评不到位等问题。结论各级医师查房中都存在一定问题。医院管理者应针对不同级别医师提供个性化培训,促其努力提升医疗服务能力。同时,树立优秀科室榜样,充分发挥榜样带动作用。此外,还应充分利用人工智能技术辅助。     

基于DRGs的医疗服务绩效差异分析:以二级综合医院为例

目的对成都市二级民营综合医院与公立综合医院住院医疗服务绩效进行DRGs分析和比较,找出差异,提出建议。方法收集2019年成都市二级民营综合医院和二级公立综合医院住院病案首页数据,利用四川省DRGs应用平台进行分组计算,使用SPSS 20.0软件进行指标分析。结果成都市二级民营综合医院与二级公立综合医院2019年住院医疗服务绩效在医疗服务（总权重、覆盖DRGs组数和CMI值）、医疗效率（时间消耗指数、费用消耗指数）上并无显著差异,但在医疗质量与安全（中低风险及以下组病死率、标化病死率）上差异明显。结论二级民营综合医院与二级公立综合医院整体医疗服务差距逐渐缩小;二级民营综合医院内部发展不均衡,医疗质量与安全水平低于二级公立综合医院。建议持续提升民营综合医院服务能力,加强民营综合医院医疗质量与安全管理,同时政府须对民营医院强化监管。     

医疗设备准入评估模型设计与实践

按照世界卫生组织医疗器械技术序列《采购流程与资源指南》中医疗器械标准购置流程,以微型卫生技术评估(Mini-HTA)、VAC价值分析评估以及项目评估模型为依据,建立了标准且完整的医疗设备医院层级准入评估模型。该模型主要包括技术评估、效益评估、安全评估以及附件因素评估等四项指标,以实际证据为依据,采用定性、定量相结合的方式对医疗设备进行评估。应用该模型,对医院2019年50万元以上医疗设备进行准入评估,认为可有效优化医院资源配置,为医疗设备购置决策提供依据。     

医疗器械临床试验准入评估模型构建及应用

依据《医疗器械临床试验质量管理规范》,参考丹麦卫生技术评估中心制定的Mini-卫生技术评估清单,结合医院实际,建立了医疗器械临床试验准入评估模型。该模型主要包括医院评估、器械评估、患者评估、机构评估及经济评估等5项指标、26项内容。实际应用中,确保了所承接的临床试验能在规定时间节点内顺利完成,并保障了试验质量和受益者权益。     

公立医院优势学科病种绩效管理研究:以骨科为例

目的从循证视角建立公立医院优势学科病种绩效管理工具。方法以波士顿矩阵理论为指导,以“病种均次毛利率、病种均次住院日”为主要指标,“日均毛利率”为辅助指标,采用Microsoft office EXCEL 365 软件进行分析。结果2019年骨科平均住院日为4.99 d,均次平均毛利率为23.62%,日均毛利率平均值为4.73%。骨科200例以上病种、不同亚专科病区病种、同一亚专科病区内不同病种、不同亚专科病区相同病种,绩效均存在差异。结论 管理者应对不同病种绩效指标进行适当校正,探索精细化病种诊疗与管理模式。     

Can the Multidimensional Prognostic Index Improve the Identification of Older Hospitalized Patients with COVID-19 Likely to Benefit from Mechanical Ventilation? An Observational,Prospective, Multicenter Study

ObjectiveData on prognostic tools for indicating mechanical ventilation in older people with COVID-19 are still limited. The aim of this research was to evaluate if the Multidimensional Prognostic Index (MPI), based on the Comprehensive Geriatric Assessment (CGA), may help physicians in identifying older hospitalized patients affected by COVID-19 who might benefit from mechanical ventilation.DesignLongitudinal, multicenter study.Settings and Participants502 older people hospitalized for COVID-19 in 10 European hospitals.MethodsMPI was calculated using 8 different domains typical of the CGA. A propensity score, Cox's regression analysis was used for assessing the impact of mechanical ventilation on rehospitalization/mortality for 90 days' follow-up, stratified by MPI = 0.50. The accuracy of MPI in predicting negative outcomes (ie, rehospitalization/mortality) was assessed using the area under the curve (AUC), and the discrimination with several indexes like the Net Reclassification Improvement (NRI) and the Integrated Discrimination Improvement (IDI).ResultsAmong 502 older people hospitalized for COVID-19 (mean age: 80 years), 152 were treated with mechanical ventilation. In the propensity score analysis, during the 90-day follow-up period, there were 44 rehospitalizations and 95 deaths. Mechanical ventilation in patients with MPI values ≥ 0.50, indicating frailer participants, was associated with a higher risk of rehospitalization/mortality (hazard ratio 1.56, 95% CI 1.09-2.23), whereas in participants with MPI values < 0.50 this association was not significant. The accuracy of the model including age, sex, respiratory parameters, and MPI was good (AUC = 0.783) as confirmed by an NRI of 0.2756 (P < .001) and an IDI of 0.1858 (P < .001), suggesting a good discrimination of the model in predicting negative outcomes.Conclusions and ImplicationsMPI could be useful for better individualizing older people hospitalized by COVID-19 who could benefit from mechanical ventilation.     

A Cross-Sectional,Correlational Study Comparing Individual Characteristics of Younger and Older Nursing Home Residents using Western Canadian Resident Assessment Instrument–Minimum Data Set (RAI-MDS) 2.0

ObjectiveTo compare characteristics of nursing home (NH) residents by age categories in Western Canada.DesignA cross-sectional, correlational analysis of secondary data.Setting and Participants89,231 residents living in Western Canada NHs in the provinces of Alberta, Manitoba, and British Columbia in 2016 and 2017.MethodsResident characteristics (age, sex, marital status, body mass index, medical diagnoses, cognitive function, physical function, depressive symptoms) came from the Resident Assessment Instrument–Minimum Data Set 2.0 and were analyzed using chi-square, analysis of variance, and post hoc pairwise tests. Human developmental stage age categories were used to create 5 age groups: 18-34, 35-50, 51-64, 65-80, and 81 years and older.ResultsThe demographics, medical diagnoses, cognitive function, and physical function characteristics of NH residents among 5 age groups differed considerably (all P < .001). Residents aged 18-34 years were predominately male, never married, with a higher incidence of paralysis and traumatic brain injury. Residents aged 35-50 years had a higher incidence of stroke and multiple sclerosis, and residents aged 51-64 years mainly were morbidly obese and more prone to depression. Residents aged 65-80 years were predominately married and more prone to diabetes, and residents aged 81 years and older were predominately widowed, with a higher incidence of dementia compared with others.Conclusions and ImplicationsFindings describe the uniqueness of younger NH age groups and indicate that the youngest NH residents often have the severe disability and a modest support system (as defined by partnered status) compared to older residents in NHs. Future studies must analyze longitudinal data that track the growth of, and changes in, residents’ health and functional status.     

商场空气卫生质量评价方法的研究

目的：建立一个对商场室内空气质量做综合评价的方法。方法：借助重庆市5家商场空气监测数据建立多元判别模型,将各检测点空气区分为不清洁空气、清洁空气、最清洁空气三类,通过各商场各类空气的比例判断该商场的综合状况及不同商场空气质量的优劣。结果：评价结果与实际情况相符合。结论：该方法可在实际中推广使用。