护理教学查房在ICU教学中的临床应用效果分析

目的探讨护理教学查房在ICU教学中的临床应用效果。方法选定2018年1月-2019年1月来本院实习的100例学生,按照教学查房方法分为对照组(50例)与观察组(50例),前者采用传统教学查房方法,后者采用针对性教学查房方法。通过出科操作考试及理论考试后,比较2组实习学生的操作考核成绩、理论考核成绩指标。结果教学结束,观察组实习学生的操作考核成绩(94.11±3.54)分、理论考核成绩(85.74±5.39)分均高于对照组实习学生(P<0.05)。结论针对性教学查房方法可有效提高实习学生的操作考核成绩、理论考核成绩,改善其教学质量。     

Lower body mass index and higher height are correlated with increased varicocele risk

To evaluate the anthropometric indexes in subjects with varicocele compared to controls and the incidence of varicocele in different body mass index (BMI) groups for the purpose of exploring the association between varicocele and anthropometric indexes. A comprehensive literature search was conducted by using PubMed, MEDLINE, EMBASE databases and Cochrane Library up to February 2019. A systematic review and meta‐analysis was conducted by STATA, and Newcastle–Ottawa Scale was utilised for assessing risk of bias. Ultimately, 13 articles containing seven case–control studies and six cross‐sectional studies with 1,385,630 subjects were involved in our study. Pooled results demonstrated that varicocele patients had a lower BMI (WMD = ?0.77, 95% CI = ?1.03 to ?0.51) and a higher height than nonvaricocele participants, especially in grade 3 varicocele patients. Subgroup analyses showed that normal BMI individuals had a higher risk of varicocele than obese or overweight individuals and a lower risk than underweight individuals. In conclusion, this study indicates that varicocele patients have a lower BMI and a higher height than nonvaricocele participants. Moreover, men with excess bodyweight have a lower incidence of varicocele compared to normal weight or underweight people. That is to say, high BMI and adiposity protect against varicocele and high BMI is associated with a decreased risk of varicocele.     

Computer-generated vegan menus: The importance of food composition database choice

Precise data on food chemical composition is crucial for any quantitative nutrition research and indispensable for evaluation and planning of computer-based menus. Moreover, exact food chemical composition is of the utmost importance in composing specific diets that may be low in certain essential nutrients. Therefore, this research evaluated a weekly vegan menu using three different food composition databases (FCDB): the Croatian, the official Danish Food Composition Database and the United States Department of Agriculture (USDA) – National Nutrient Database for Standard Reference. Significant differences (p < 0.05) were determined in evaluated and optimised offers for the same menu when using different FCDBs. Furthermore, in these menus quantities of some nutrients have not reached official daily recommendations needed for prevention of non-communicable diseases. In this research, new vegan menus that can provide adequate quantity of essential nutrients, regardless of FCDB utilized, were created with linear optimisation (LO). This resulted in high quality daily menu offers. However, depending on the FCDB that was used, optimal menus differed in daily meal combinations, and the effectiveness of the optimisation in the minimisation of differences caused by differences of data in FCDBs was tested. Linear optimisation has been proved to be an effective tool in planning of specific diets, such as vegan diets. Nonetheless, the quality of computer-planned menus depends heavily on the quality of FCDB used.     

Risk-based cost-benefit analysis of alternative vaccines against COVID-19 in Brazil: Coronavac vs. Astrazeneca vs. Pfizer

We propose a probabilistic model to quantify the cost-benefit of mass Vaccination Scenarios (VSs) against COVID-19. Through this approach, we conduct a six-month simulation, from August 31st, 2021 to March 3rd, 2022, of nine VSs, i.e., the three primary vaccine brands in Brazil (CoronaVac, AstraZeneca and Pfizer), each with three different vaccination rates (2nd doses per week). Since each vaccine has different individual-level effectiveness, we measure the population-level benefit as the probability of reaching herd immunity (HI). We quantify and categorize the cost-benefit of VSs through risk graphs that show: (i) monetary cost vs. probability of reaching HI; and (ii) number of new deaths vs. probability of reaching HI. Results show that AstraZeneca has the best cost-benefit when prioritizing acquisition costs, while Pfizer is the most cost-beneficial when prioritizing the number of deaths. This work provides helpful information that can aid public health authorities in Brazil to better plan VSs. Furthermore, our approach is not restricted to Brazil, the COVID-19 pandemic, or the mentioned vaccine brands. Indeed, the method is flexible so that this study can be a valuable reference for future cost-benefit analyses in other countries and pandemics, especially in the early stages of vaccination, when data is scarce and uncertainty is high.     

A Perioperative Care Display for Understanding High Acuity Patients

Background  The data visualization literature asserts that the details of the optimal data display must be tailored to the specific task, the background of the user, and the characteristics of the data. The general organizing principle of a concept-oriented display is known to be useful for many tasks and data types. Objectives  In this project, we used general principles of data visualization and a co-design process to produce a clinical display tailored to a specific cognitive task, chosen from the anesthesia domain, but with clear generalizability to other clinical tasks. To support the work of the anesthesia-in-charge (AIC) our task was, for a given day, to depict the acuity level and complexity of each patient in the collection of those that will be operated on the following day. The AIC uses this information to optimally allocate anesthesia staff and providers across operating rooms. Methods  We used a co-design process to collaborate with participants who work in the AIC role. We conducted two in-depth interviews with AICs and engaged them in subsequent input on iterative design solutions. Results  Through a co-design process, we found (1) the need to carefully match the level of detail in the display to the level required by the clinical task, (2) the impedance caused by irrelevant information on the screen such as icons relevant only to other tasks, and (3) the desire for a specific but optional trajectory of increasingly detailed textual summaries. Conclusion  This study reports a real-world clinical informatics development project that engaged users as co-designers. Our process led to the user-preferred design of a single binary flag to identify the subset of patients needing further investigation, and then a trajectory of increasingly detailed, text-based abstractions for each patient that can be displayed when more information is needed.     

贵州省"5+3"模式订单定向医学毕业生的离职意愿及影响因素研究

背景 我国基层全科医生的离职意愿较高，调查其离职意愿并分析影响因素，可以为减少基层卫生人才流失提供思路。目前，完成"5+3"模式（5年临床医学本科教育+3年住院医师规范化培训）培养的订单定向医学毕业生逐步履约进入基层工作，而针对该部分全科医生离职意向的研究相对较少。 目的 调查贵州省"5+3"模式订单定向医学毕业生回归基层工作后的离职意愿及影响因素，为完善吸引卫生人才留任、建设基层全科医生队伍相关政策提供依据。 方法 以贵州省截至2020年底已完成"5+3"模式培养并履约到基层医疗卫生机构工作的2015—2017级订单定向医学毕业生为研究对象。于2021-01-20至2021-02-10对其开展电子问卷调查，内容包括毕业生的一般情况、职业满意度、离职意愿、服务期满后职业方向。共回收问卷347份，其中有效问卷311份，问卷有效回收率为89.6%。采用单因素分析及多元逐步线性回归分析全科医生离职意愿的影响因素。 结果 贵州省"5+3"订单定向医学毕业生的整体离职意愿得分为（3.98±0.98）分，具有离职倾向者229例（73.6%）。不同性别、单位地理位置、每日工作量者的离职意愿得分比较，差异有统计学意义（P<0.05）。多元逐步线性回归分析显示，单位负责人对待下属的方式、在工作中获得的成就感、对当前收入满意程度、家人对工作的支持程度、当地激励政策执行程度是"5+3"订单定向医学毕业生离职意愿的影响因素（P<0.05）。服务期满后，计划留任原基层医疗卫生机构者12例（3.9%），计划去其他基层医疗卫生机构者21例（6.7%），计划离开基层去上级医院工作者196例（63.0%），计划攻读全日制硕士学位者60例（19.3%）。 结论 贵州省"5+3"模式订单定向医学毕业生的离职意愿较高，预计服务期满后基层全科人才流失较多，需从提高收入、重视全科医生心理需求、优化全科医生培养与使用、发展基层医疗卫生机构、加强全科宣传等方面着手改善。