Active learning in head and neck trauma: outcomes after an innovative educational course

Excellence in teaching and learning is fundamental to the provision of quality training for doctors and for this a sound knowledge of the principles of adult learning theory is important. We present an educational course in head and neck trauma skills for emergency medicine (EM) registrars, using the pedagogical principle of active learning. Our aim was to provide trainees with skills in the evaluation and management of hard and soft tissue injuries to the head, neck, and mouth. Active learning has been shown to provide a superior experience in classrooms, creating a ‘deep’ understanding of the material. To maximise learning, we used these principles to develop small group seminars led by a diverse range of teachers that allowed trainees to acquire hands-on skills. Questionnaires that were completed before and after the course showed an appreciable educational impact. We conclude that innovative teaching methods facilitate the sharing of knowledge that will benefit patient care.     

Adherence to a Mediterranean Lifestyle and Changes in Frequency,Severity, and Localization of Pain in Older Adults

ObjectiveTo assess the association between adherence to a Mediterranean lifestyle and changes in pain, and its characteristics over time in older adults.Patients and MethodsWe analyzed data from 864 and 862 community-dwelling individuals aged 65+ years from the Study on Cardiovascular Health, Nutrition and Frailty in Older Adults in Spain (Seniors-ENRICA) Seniors-ENRICA-1 (2008–2010 to 2012) and Seniors-ENRICA-2 (2015–2017 to 2019) cohorts, with a median follow-up of 2.8 and 2.4 years, respectively. Adherence to a Mediterranean lifestyle was assessed at baseline with the 27-item Mediterranean lifestyle (MEDLIFE) index. Pain changes over time were calculated with a pain scale that assessed the frequency, severity, and the number of pain locations both at baseline and follow-up. Multivariable-adjusted relative risk ratios (RRRs) were obtained using multinomial logistic regression.ResultsIn the pooled cohorts, after a median follow-up of 2.6 years, pain worsened for 697 participants, improved for 734, and did not change for 295. Compared with the lowest category of MEDLIFE adherence, those in the highest category showed an RRR of improvement vs worsening of overall pain of 1.85 (95% CI, 1.28 to 2.67; P-trend<.001). MEDLIFE adherence was also linked to improvement in pain frequency (RRR, 1.98; 95% CI, 1.31 to 3.01; P-trend=.001), pain severity (RRR, 2.00; 95% CI, 1.33 to 3.00; P-trend=.001), and a reduction in the number of pain locations (RRR, 1.68; 95% CI, 1.13 to 2.50; P-trend=.004). Limitations of this study are the use of self-reported lifestyle data.ConclusionA Mediterranean lifestyle was associated with improvement of pain characteristics in older adults. Experimental studies should assess the efficacy of an integral lifestyle approach for the management of pain in older adults.     

上海市社区药学服务需求现状

背景 随着患者就诊下沉明显，联合家庭医生团队开展社区药学服务日益重要，但如何发挥家庭医生团队作用以满足患者社区药学服务需求仍有待进一步探索。 目的 了解上海市社区药学服务需求现状，为改进社区药学人员参与家庭医生团队开展服务的方式提供参考建议。 方法 于2020年9—12月，采用多阶段抽样法抽取349例老年慢性病患者和855例家庭医生团队主要成员〔全科医生（n=481）、护士（n=234）、公共卫生医生（n=140）〕进行问卷调查。针对老年慢性病患者的调查问卷主要内容包括基本情况、患病情况、用药情况、社区药学服务需求情况和社区药学服务利用情况。针对家庭医生团队成员的调查问卷主要内容包括基本情况、社区药学服务认知情况和社区药学服务需求情况。 结果 349例老年慢性病患者中，125例（35.8%）同时患有≥3种慢性病，305例（87.4%）每日需多次用药。用药管理类药学服务方面，"用药重整及随访"需求人数最多，为52例（14.9%），"用药随访"利用人数最多，为49例（14.0%）。用药教育类药学服务方面，"慢性病用药特殊性的普及教育"需求人数最多，为247例（70.8%），"宣传健康生活方式"利用人数最多，为33例（9.4%）。家庭医生团队成员中，全科医生、护士、公共卫生医生对药学服务的了解程度方面，分别有440例（91.5%）、202例（86.3%）、112例（80.0%）表示了解；对药师的信任程度方面，分别有302例（62.8%）、183例（78.2%）、103例（73.6%）表示非常信任；"协同医师做好药物使用遴选"服务项目的需求人数分别有359例（74.6%）、112例（47.9%）、81例（57.8%）；"指导护士使用与管理药品"服务项目的需求人数分别有190例（39.5%）、153例（65.4%）、57例（40.7%）。 结论 一方面患者实际迫切需要用药管理类药学服务，另一方面患者的用药教育类药学服务需求远未得到满足。鉴于社区药学人员队伍薄弱及家庭医生团队对社区药学服务认知局限的现状，社区药学人员应通过培训团队成员，提升团队的社区药学服务认知水平及服务能力，借助团队力量及成员特性，更广泛高效地开展社区药学服务。     

超声引导下辅助诊断和治疗冻结肩的研究进展

冻结肩是常见的肩部疾病,传统非可视化治疗冻结肩效果欠佳。近年来,超声引导具有动态实时定位、无辐射、便携性、低成本等优点在辅助诊断和治疗冻结肩患者中得到成功应用,不仅能提供精确的诊断,也提高了患者中长期的疗效。本文就超声引导辅助诊断和治疗冻结肩的研究进展进行综述。     

Assessment of a novel deep learning-based marker-less motion capture system for gait study

BackgroundMarker-less systems based on digital video cameras and deep learning for gait analysis could have a deep impact in clinical routine. A recently developed system has shown promising results in terms of joint center position but has not been yet evaluated in terms of gait outcomes.Research questionHow does this novel marker-less system compare to a marker-based reference system in terms of clinically relevant gait parameters?MethodsThe deep learning method behind the developed marker-less system was trained on a dedicated dataset consisting of forty-one asymptomatic and pathological subjects each performing ten walking trials. The system could estimate the three-dimensional position of seventeen joint centers or keypoints (e.g., neck, shoulders, hip, knee, and ankles). We evaluated the marker-less system against a marker-based system in terms of differences in joint position (Euclidean distance), detection of gait events (e.g., heel strike and toe-off), spatiotemporal parameters (e.g., step length, time), kinematic parameters (e.g., hip and knee extension-flexion), and inter-trial reliability for kinematic parameters.ResultsThe marker-less system was able to estimate the three-dimensional position of joint centers with a mean difference of 13.1 mm (SD = 10.2 mm). 99% of the estimated gait events were estimated within 10 ms of the corresponding reference values. Estimated spatiotemporal parameters showed zero bias. The mean and standard deviation of the differences of the estimated kinematic parameters varied by parameter (for example, the mean and standard deviation for knee extension flexion angle were −3.0° and 2.7°). Inter-trial reliability of the measured parameters was similar to that of the marker-based references.SignificanceThe developed marker-less system can measure the spatiotemporal parameters within the range of the minimum detectable changes obtained using the marker-based reference system. Moreover, except for hip extension flexion, the system showed promising results in terms of several kinematic parameters.     

Automatic segmentation of thoracic CT images using three deep learning models

PurposeDeep learning (DL) techniques are widely used in medical imaging and in particular for segmentation. Indeed, manual segmentation of organs at risk (OARs) is time-consuming and suffers from inter- and intra-observer segmentation variability. Image segmentation using DL has given very promising results. In this work, we present and compare the results of segmentation of OARs and a clinical target volume (CTV) in thoracic CT images using three DL models.Materials and methodsWe used CT images of 52 patients with breast cancer from a public dataset. Automatic segmentation of the lungs, the heart and a CTV was performed using three models based on the U-Net architecture. Three metrics were used to quantify and compare the segmentation results obtained with these models: the Dice similarity coefficient (DSC), the Jaccard coefficient (J) and the Hausdorff distance (HD).ResultsThe obtained values of DSC, J and HD were presented for each segmented organ and for the three models. Examples of automatic segmentation were presented and compared to the corresponding ground truth delineations. Our values were also compared to recent results obtained by other authors.ConclusionThe performance of three DL models was evaluated for the delineation of the lungs, the heart and a CTV. This study showed clearly that these 2D models based on the U-Net architecture can be used to delineate organs in CT images with a good performance compared to other models. Generally, the three models present similar performances. Using a dataset with more CT images, the three models should give better results.     

肝癌术后槐耳颗粒防治肿瘤复发转移的效果研究

目的探究槐耳颗粒对肝癌根治术后复发转移的影响。方法114例行肝癌根治术患者,按治疗方法不同分为对照组(54例)和观察组(60例)。对照组行常规治疗,观察组行常规+槐耳颗粒治疗。对比两组生存及肿瘤复发转移情况、血管内皮细胞生长因子(VEGF)、血清甲胎蛋白(AFP)、总胆红素(TB)、丙氨酸转氨酶(ALT)、生活质量改善情况。结果观察组存活率90.00%高于对照组的75.93%,复发转移率8.33%低于对照组的25.93%,差异有统计学意义(P<0.05)。治疗后,观察组VEGF(413.54±21.05)pg/ml、AFP(356.32±25.36)μg/L均低于对照组的(486.53±20.43)pg/ml、(415.69±21.32)μg/L,差异有统计学意义(P<0.05)。治疗后,观察组TB(18.63±1.34)μmol/L、ALT(52.78±5.32)U/L低于对照组的(21.66±1.25)μmol/L、(56.23±5.63)U/L,差异有统计学意义(P<0.05)。观察组患者生活质量改善情况优于对照组,差异有统计学意义(P<0.05)。结论槐耳颗粒在防治肝癌术后肿瘤复发转移方面具有明显效果,推荐使用。     

模拟环境下间隔学习对临床技能习得与保持的影响研究进展

临床技能习得与保持一直是医学教育发展面临的重要问题,而随着医学教育的发展与改革,模拟环境下的间隔学习模式受到广泛关注。文章对模拟环境下间隔学习对临床技能习得与保持的影响研究进展进行综述:首先,阐述间隔学习可能的机制;然后,揭示间隔学习在国内外模拟教育的应用现状。文章指出间隔学习在临床技能教学实践中需要注意"加大临床投入,重视临床实践""深入理论基础,完善实证研究""基于我国现状,由浅入深探究"。     

中青年楼宇人群的家庭医生签约服务需求满足状况及影响因素研究

背景 上海市正逐步将家庭医生签约服务拓展至楼宇功能社区，目前中青年楼宇人群的服务需求满足状况尚不知晓。研究中青年楼宇人群的家庭医生签约服务需求满足状况，分析其影响因素，可以为制定和调整家庭医生楼宇服务相关政策提供参考。 目的 探讨中青年楼宇人群的家庭医生签约服务需求满足状况，并分析其影响因素。 方法 于2019年12月至2020年12月，在上海市虹口区、浦东新区、静安区采用典型抽样法抽取楼宇，在选中楼宇内采用整群随机抽样法抽取中青年人群（18~59岁）开展问卷调查，共回收有效问卷2 272份，本研究以其中有家庭医生服务利用经历的1 137例受试者为研究对象。涉及的主要调查内容为受试者的社会人口和经济学特征、健康状况、对家庭医生签约服务的了解度及家庭医生签约服务需求满足状况（包括基本服务需求、个性化服务需求两方面，均采用Likert 5级评分法）。采用多元有序Logistic回归分析中青年楼宇人群家庭医生签约服务需求满足状况的影响因素。 结果 39.61%（425/1 073）的受试者表示家庭医生签约服务比较满足/完全满足其基本服务需求，39.01%（419/1 074）的受试者表示家庭医生签约服务比较满足/完全满足其个性化服务需求。多元有序Logistic回归分析结果显示：户籍、职业类别、年收入、自评健康状况、对家庭医生"1+1+1"签约服务了解度、对家庭医生信任度、对家庭医生服务能力评价是中青年楼宇人群基本服务需求满足状况的影响因素（P<0.05）；性别、年收入、患慢性病情况、对家庭医生"1+1+1"签约服务了解度、对家庭医生团队组成了解度、对家庭医生服务能力评价是中青年楼宇人群个性化服务需求满足状况的影响因素（P<0.05）。 结论 约40%的楼宇人群认为家庭医生签约服务能够满足其基本服务需求/个性化服务需求，主要影响因素可概括为楼宇人群的社会经济状况、健康状况、对家庭医生签约服务的认知度、家庭医生的服务能力4个方面。建议加强对家庭医生签约服务的宣传，并针对楼宇人群特点和差异化需求，为其定制个性化的服务方案；同时，着力提升家庭医生服务能力，丰富签约服务内涵。     

俄罗斯学术期刊的发展现状与思考

【目的】 分析俄罗斯学术期刊的发展状况,归纳中俄学术期刊交流合作中存在的障碍,提出进一步推动两国学术期刊合作的措施和建议,为我国期刊界和相关管理部门提供借鉴。【方法】 采用文献调研法与网络调查法,从出版情况、传播体系、作者群体、相关法律、国际化进程等方面对俄罗斯学术期刊的发展状况进行调查,在此基础上分析中俄学术期刊交流合作存在的障碍。【结果】 中俄学术期刊交流存在着政策障碍、语言障碍、获取性障碍、写作障碍和投稿障碍。【结论】 两国相关部门有必要组织制定学术共同体统一评价体系,打造品牌化学术期刊交流平台。我国期刊应组建专业化编委团队,探索多元化交流方式。