Assessing perceived quality of primary care under hospital-township health centre integration: A cross-sectional study in China

Since the new round of health care reform in 2009, the vertical integration of hospitals and primary health institutions has become widely implemented in China as an efficient method for improving quality of primary care. This study aimed to answer the following questions: (a) What is the perceived quality of township health centres (THCs) under integration? (B) What differences could be observed among the three typical integration models, namely, private hospital-THC integration, public hospital-THC integration, and loose collaboration? Two rounds of cross-sectional surveys were conducted from November 2016 to June 2018. The Chinese version of the Primary Care Assessment Tool was used to evaluate perceived quality of sample THCs, and 1118 adult patients were interviewed in total. Multiple linear regressions were employed to compare the quality scores between two survey rounds and among different integration models after controlling for potential confounders. The results revealed that the quality of care significantly improved under private hospital-THC integration as observed by comparing two survey rounds, while no change or slight changes were observed in the other two models. The difference observed among the three models was that the perceived quality of THCs integrated with private hospitals was worse than that of THCs integrated with public hospitals and THCs under loose collaboration, while no significant difference was observed between public hospital-THC integration and loose collaboration. Increased attention should be given to highlighting the tight integration between hospitals and THCs and the different roles played by private and public hospitals in the current reform.     

Machine learning models for Parkinson’s disease detection and stage classification based on spatial-temporal gait parameters

BackgroundParkinson’s disease (PD) is a chronic and progressive neurodegenerative disease with no cure, presenting a challenging diagnosis and management. However, despite a significant number of criteria and guidelines have been proposed to improve the diagnosis of PD and to determine the PD stage, the gold standard for diagnosis and symptoms monitoring of PD is still mainly based on clinical evaluation, which includes several subjective factors. The use of machine learning (ML) algorithms in spatial-temporal gait parameters is an interesting advance with easy interpretation and objective factors that may assist in PD diagnostic and follow up.Research questionThis article studies ML algorithms for: i) distinguish people with PD vs. matched-healthy individuals; and ii) to discriminate PD stages, based on selected spatial-temporal parameters, including variability and asymmetry.MethodsGait data acquired from 63 people with PD with different levels of PD motor symptoms severity, and 63 matched-control group individuals, during self-selected walking speed, was study in the experiments.ResultsIn the PD diagnosis, a classification accuracy of 84.6 %, with a precision of 0.923 and a recall of 0.800, was achieved by the Naïve Bayes algorithm. We found four significant gait features in PD diagnosis: step length, velocity and width, and step width variability. As to the PD stage identification, the Random Forest outperformed the other studied ML algorithms, by reaching an Area Under the ROC curve of 0.786. We found two relevant gait features in identifying the PD stage: stride width variability and step double support time variability.SignificanceThe results showed that the studied ML algorithms have potential both to PD diagnosis and stage identification by analysing gait parameters.     

以就业为导向的脊柱相关疾病的推拿教学策略

目的培养脊柱及相关疾病推拿治疗的应用型人才。方法采用编写应用型教材、把教室转移到诊室和示教室、教材-案例“逼真”教学法、创造学生在临床真实环境下的动手操作机会和产-学-研相结合教学法等手段和方法,在内容改革上纳入目前医院和社会机构多使用的规划教材之外的手法技术、现代康复技术和世界各地的脊柱手法技术,拓宽知识面,与临床应用接轨;发挥考试的导向功能,通过改革考试和评价方法,切实培养应用型人才。结果教学效果良好,有效提升了学生临床适应能力和社会生存能力。结论以就业为导向的脊柱及相关疾病的推拿教学模式值得进一步探索。     

中医院校预防医学课程思政的教学改革和实践

“课程思政”是当前高等教学中加强大学生思想政治教育的主要途径之一。本文通过探索中医院校“预防医学”课程思政的建设,从教学内容、教学方法、教学团队建设、考核方式四个方面论述了专业知识传授和思政教育育人的有机融合,在教学中实施“知识传授”与“价值引领”同向同行,培养德术兼备的“卓越医生”。     

基于肿瘤影像学异质性分析CT在诊断十二指肠恶性肿瘤的价值

目的 探讨十二指肠肿瘤血流量存在的异质性及容积灌注CT成像对降低肿瘤异质性的影响。方法 纳入我院2013年1月至2014年11月十二指肠结节病例的132例,其中腺癌48例,间质瘤52例,淋巴瘤32例。所有的病例均行单层面灌注CT和容积灌注CT成像扫描,比较两者对十二指肠恶性肿瘤的诊断效能,采用变异系数评价两者在影像学异质性的差异,评价肿瘤影像学异质性对十二指肠恶性肿瘤的影响。结果 容积灌注CT成像与单层面灌注CT诊断恶性结节的效能其敏感性、特异性、准确性、阴性预测值、阳性预测值比较均无明显差别(P0.05);中高分化组及低分化组两个亚组的容积灌注CT成像的变异系数也均小于单层面灌注CT的变异系数,组间相比具有统计学差异(P0.05);血流量差异性的大小相比具有统计学差异(P0.05)。结论 容积灌注CT成像与单层面灌注CT检查在诊断效能上无明显差异,稳定性好,肿瘤影像学异质性对评价十二指肠肿瘤血流量有着一定影响,容积灌注CT成像能够降低肿瘤异质性的影响。     

DRG支付方式改革下医院财务管理应对策略

通过探讨DRG支付方式改革下医院财务管理的应对策略,可以有效地降低医疗支付方式改革对医院财务管理的负面影响,促使医院财务管理在"危"与"机"的转换中抢抓机遇,促进医院财务管理提质增效。     

医改尚未成功,路在何方?

目前我国医疗制度改革尚未取得成功,这与计划经济向市场经济转轨这历史时期及卫生工作的特殊性有关,出现问题,甚至失误,在所难免。提出(1)医改的目的是确保全国人民健康,人人享有医疗保健。(2)把卫生系统推向市场,医疗机构商业化,不是医改的方向。(3)预防为主,健全预防医学制系。(4)国家增加投入。(5)制定公立及私立医院各项制度,保护医务人员的合法权益。(6)加强社区基层医疗机构的建设。     

优化CT扫描参数,降低患者辐射剂量

CT检查中如何有效减少辐射剂量,保护患者,同时保证图像质量,作为从事放射的工作人员应该充分认识。本文从CT检查辐射剂量、优化参数及降低CT检查辐射剂量的途径等方面加以综述。