Functional,impulse-based quantification of plantar pressure patterns in typical adult gait

BackgroundDynamic pedobarography is used to measure the change in plantar pressure distribution during gait. Clinical methods of pedobarographic analysis lack, however, a standardized, functional segmentation or require costly motion capture technology and expertise. Furthermore, while commonly used pedobarographic measures are mostly based on peak pressures, progressive foot deformities also depend on the duration the pressure is applied, which can be quantified via impulse measures.Research QuestionOur objectives were to: (1) develop a standardized method for functionally segmenting pedobarographic data during gait without the need for motion capture; (2) compute pedobarographic measures that are based on each segment’s vertical impulse; and (3) obtain a normative set of such pedobarographic measures for non-disabled gait.MethodsPedobarographic data was collected during gait from sixty adults with normal feet. Using the maximum pressure map for each trial, an expert and novice rater independently identified the hallux, heel, medial forefoot, and lateral forefoot and computed nine normalized vertical impulse measures.ResultsFrom the computed impulse measures, the Heel-to-Forefoot Balance was 33.3 ± 5.5%, the Medial-Lateral Forefoot Balance (with hallux) 59.2 ± 8.0%, the Medial-Lateral Forefoot Balance (without hallux) 53.5 ± 7.7%, and the Hallux-to-Medial Forefoot Balance 21.0 ± 8.9% (mean ± standard deviation). The intra- and inter-rater reliability ranged between 0.93 and 1.00 and between 0.89 and 0.99, respectively (ICC(2,1)).SignificanceWe developed a simple, stand-alone method for pedobarographic segmentation that is mechanistically linked to relevant anatomical regions of the foot. The normative impulse measures exhibited excellent reliability. This normative dataset is currently used in the clinical assessment of different foot deformities and gait impairments, and in the evaluation of treatment outcomes.     

Bayesian adaptive lasso for additive hazard regression with current status data

Variable selection is a crucial issue in model building and it has received considerable attention in the literature of survival analysis. However, available approaches in this direction have mainly focused on time-to-event data with right censoring. Moreover, a majority of existing variable selection procedures for survival models are developed in a frequentist framework. In this article, we consider additive hazards model in the presence of current status data. We propose a Bayesian adaptive least absolute shrinkage and selection operator procedure to conduct a simultaneous variable selection and parameter estimation. Efficient Markov chain Monte Carlo methods are developed to implement posterior sampling and inference. The empirical performance of the proposed method is demonstrated by simulation studies. An application to a study on the risk factors of heart failure disease for type 2 diabetes patients is presented.     

Estudio de la hiperfrecuentación en un distrito de atención primaria

Objective

To describe the distribution of frequent attenders (FA) through the different primary care practices in Cordoba-Guadalquivir Health District (Córdoba, Spain).

基于肥厚型心肌病临床数据管理系统的设计与应用

目的设计一款简单易操作的数据管理系统,解决目前零散的肥厚型心肌病临床数据,将临床信息科学有效地进行整合管理,便于医生及科研人员查询、统计。方法采用Foxtable搭建一个数据库管理软件框架,并建立局域网外部数据源,实现数据的存储、查询、共享、导出。结果基于肥厚型心肌病数据管理系统的设计与应用能够满足临床医生和科研人员的基本工作需求,很大程度上节省了数据整理时间。结论该系统操作简单、移植性高、实用性强,广泛适用于各临床科室有科研项目的小型数据库管理。     

中国医疗不良事件报告与质量改进的分析研究

文章分析了来自国家卫生健康委员会医政医管局收集的82万例不良事件报告中最常见的三项错误，该三项错误占82万例不良事件的53％；还介绍了抽样医院主动报告的五类不良事件，以及国家药品不良事件反应网络监测中心的药品与器械不良事件报告。介绍了北京中卫云医疗数据分析与应用研究院100万例误诊报告的简要内容，简要列举了6个典型误诊病例。介绍了中国政府主要的质量政策以及通过医院评审工作落实政策，改善医院管理的做法，引用《柳叶刀》杂志对中国医疗状况的评价，说明质量政策与医院评审对提升医疗服务安全质量是有效的。同时指出要警惕新发疾病，减少误诊，关注新技术、新材料、新药品应用时可能出现新的不安全事件，以实现高质量发展的目标。     

浅谈建立医疗意外保险制度

在我国司法实践中,对医疗意外的损害赔偿主要通过公平责任原则来处理,但是,这种责任分配模式对医患双方都有很大的局限性,不利于医疗纠纷的处理。尽快建立医疗意外保险制度,切实维护医患双方的合法权益,是解决此类纠纷的一个出口。该文从医疗意外保险的必要性出发,探讨应怎样设立医疗意外保险,保险的具体运作模式、保险赔付以及保险赔偿责任的范围等。     

医疗保险制度对老年群体死亡风险的影响——基于CLHLS的生存分析

目的:探讨医疗保险制度对老年群体死亡风险的影响,为我国医疗保障制度的改革与完善提供参考依据。方法:基于中国老年健康影响因素跟踪调查(CLHLS)2011—2014年的追踪数据,以添加脆弱因子的Weibull模型与Gompertz模型进行生存分析,并且分年龄组进行异质性分析。结果:相对于无医保的老人,有医保老人的死亡风险随医保制度的不同而发生不同程度的变化,具体而言,新农合、城镇居民基本医疗保险以及城镇职工基本医疗保险分别降低了约20%、25%以及31%的死亡风险。通过分年龄组进一步分析发现,医疗保险对高龄组老人死亡风险有显著影响,而对低龄组老人的死亡风险的影响不显著。结论:医疗保险制度有助于降低老年群体的死亡风险,但影响程度各异,表现为城镇职工医疗保险最高,城镇居民医疗保险次之,新农合最低。基于此,我国医疗保险制度改革的重点方向在于继续扩大医保覆盖面,并弥合不同医保之间的待遇差异,在统筹城乡居民医疗保险的基础上,进一步推进城镇职工医疗保险与居民医疗保险的整合,最终实现城乡医疗保险制度的一体化发展。