医学期刊编辑对生物医学研究伦理问题的处理方式调研及建议

【目的】 探讨医学期刊编辑处理生物医学研究伦理问题的方式,为推动确立医学期刊伦理审查规范提供参考。【方法】 通过问卷星向国内医学期刊编辑发放调查问卷,对审稿时和论文出版后处理医学伦理相关问题的方式展开调研。【结果】 共回收问卷230份。调查显示:在审稿阶段,在保护患者隐私方面,英文期刊、中英双语期刊的编辑更注重要求作者提供授权同意相关证明材料;中、英文期刊以及中英双语期刊的编辑对涉及人体试验伦理问题的处理方式都比较规范。但是,对于研究是否获得患者知情同意、动物实验研究是否经过伦理委员会审查、回顾性研究是否需要伦理审查、涉及人的研究是否在临床试验注册中心注册等问题,编辑还需要进一步重视。在论文出版后,编辑发现的医学伦理问题主要是“涉及人的研究未说明是否经过伦理委员会审查”。对论文出版后发现的没有保护患者隐私和没有在临床试验注册中心注册的问题,大部分期刊缺乏相关处理方案。【结论】 编辑应加强对论文知情同意、动物实验伦理、回顾性研究伦理的审查,并审查涉及人的研究是否在临床试验注册中心注册,以推动我国医学期刊的高质量发展。     

Public Preferences for Policies to Promote COVID-19 Vaccination Uptake: A Discrete Choice Experiment in The Netherlands

ObjectivesThe COVID-19 pandemic forms an unprecedented public health, economic, and social crisis. Uptake of vaccination is critical for controlling the pandemic. Nevertheless, vaccination hesitancy is considerable, requiring policies to promote uptake. We investigate Dutch citizens’ preferences for policies that aim to promote vaccination through facilitating choice of vaccination, profiling it as the norm, making vaccination more attractive through rewards, or punishing people who reject vaccination.MethodsWe conducted a discrete choice experiment in which 747 respondents were asked to choose between policies to promote vaccination uptake and their impacts on the number of deaths, people with permanent health problems, households with income loss, and a tax increase.ResultsRespondents generally had a negative preference for policies that promote vaccination. They particularly disliked policies that punish those who reject the vaccine and were more favorable toward policies that reward vaccination, such as awarding additional rights to vaccinated individuals through vaccination passports. Respondents who reject vaccination were in general much more negative about the policy options than respondents who consider accepting the vaccine. Nevertheless, vaccination passports are supported by both respondents who accept the vaccine, those who reject vaccination, and those who are unsure about vaccination.ConclusionsThis study provides concrete directions for governments attempting to increase the vaccination uptake in ways that are supported by the public. Our results could encourage policy makers to focus on policy options that make vaccination easier and reward people who take the vaccine, as especially the implementation of vaccination passports was supported.     

基于正交试验的肾造瘘管固定方案研究

目的 探讨基于正交试验的肾造瘘管不同固定方案的比较效果。方法 将14Fr硅胶肾造瘘管固定在聚乙烯展板和拉力显示器上，以固定材料、固定方法、面积为3个影响因素，每个因素3个水平，每组进行3次试验再求平均值作为最后拉力值F，共进行9个固定方案共27次试验。利用L9（33）正交试验矩阵研究不同材料（医用橡皮膏、医用透气胶带、医用无纺布胶带）、固定方法（交叉固定法、“工”字固定法和改良“工”字固定法）及面积(16 cm2、24 cm2、32 cm2）对肾造瘘管固定强度的影响。结果 正交试验所选的3种影响因素中，对拉力值影响显著性排序为：材料＞方法＞面积；3种固定材料中，医用橡皮膏固定强度最大。结论 肾造瘘管固定方案中，最佳固定组合为以医用橡皮膏结合改良“工”字法固定，可为临床管道固定方案的选择提供参考。     

Bayesian consensus clustering for multivariate longitudinal data

In clinical and epidemiological studies, there is a growing interest in studying the heterogeneity among patients based on longitudinal characteristics to identify subtypes of the study population. Compared to clustering a single longitudinal marker, simultaneously clustering multiple longitudinal markers allow additional information to be incorporated into the clustering process, which reveals co-existing longitudinal patterns and generates deeper biological insight. In the current study, we propose a Bayesian consensus clustering (BCC) model for multivariate longitudinal data. Instead of arriving at a single overall clustering, the proposed model allows each marker to follow marker-specific local clustering and these local clusterings are aggregated to find a global (consensus) clustering. To estimate the posterior distribution of model parameters, a Gibbs sampling algorithm is proposed. We apply our proposed model to the primary biliary cirrhosis study to identify patient subtypes that may be associated with their prognosis. We also perform simulation studies to compare the clustering performance between the proposed model and existing models under several scenarios. The results demonstrate that the proposed BCC model serves as a useful tool for clustering multivariate longitudinal data.     

A Discrete Choice Experiment to Elicit General Population Preferences Around the Factors Influencing the Choice to Make Clinical Negligence Claims

ObjectivesThis article determines public stated preferences around different factors that influence the choice to make clinical negligence claims against a national healthcare system.MethodsA large online survey was conducted using a discrete choice experiment (DCE) with the UK general population (N = 1013). DCE tasks involved a single profile and participants chose whether to make a claim for compensation (yes/no) after one of 3 randomly allocated patient safety incident (PSI) “scenarios” of different severities (mild, moderate, severe). DCE attributes described the actions of the healthcare system after a PSI and characteristics of the clinical negligence claims process. The data were modeled separately for each scenario (mild, moderate, severe) using logistic regression. Marginal effects and the probability of making a claim in a baseline case were estimated.ResultsProbability of choosing to claim was reduced by receipt of an apology, investigation and prevention of recurrence of the PSI, and longer time until claim decision and increased by an easy and straightforward claims process and high chance of compensation and for the mild scenario higher compensation amounts. Marginal effects and baseline case probabilities differed by scenario severity.ConclusionsThe results suggest the actions of the healthcare system after a PSI and characteristics of the claims process have a larger impact on the probability of making a claim for milder PSIs. For more severe PSIs, a larger probability of making a claim was observed, and the choice was less influenced by the actions of the healthcare system after the PSI and characteristics of the claims process.     

Accounting for Unobservable Preference Heterogeneity and Evaluating Alternative Anchoring Approaches to Estimate Country-Specific EQ-5D-Y Value Sets: A Case Study Using Spanish Preference Data

ObjectivesThe EuroQol Group published the EQ-5D-Y valuation protocol that recommends 2 valuation techniques to elicit preferences: composite time trade-off (C-TTO) and discrete choice experiments (DCEs). The protocol left the decision of what modeling approach to use open for researchers. Our aims were to explore modeling strategies allowing generation of EQ-5D-Y value sets and to produce an EQ-5D-Y Spanish value set.MethodsWe used EQ-5D-Y DCE and C-TTO data collected in Spain following the protocol and adopted a staged approach for our modeling exercise. First, we selected the best performing DCE latent class model and evaluated models from 2 to 10 classes. We selected the preferred model based on best goodness of fit in terms of the Bayesian information criterion. We considered 2 anchoring approaches to estimate utility values: (1) pits state anchoring and (2) hybrid models (using all available C-TTO responses). All analysis were weighted to be representative of the Spanish population.ResultsWe collected 1005 DCE and 200 C-TTO interviews. We selected a DCE model including 4 classes. Hybrid models using all available C-TTO observations produced a narrower range of values than the pits state anchoring approach.ConclusionsIn this article, we have presented an EQ-5D-Y value set that can be used for cost-utility analysis in Spain. The international EQ-5D-Y valuation protocol should be updated to include a different set of health states for the C-TTO experiment if researchers wish to use alternative anchoring approaches to the “pits state.”     

多指标综合加权评分法优选复方夏枯草洗剂提取工艺研究

[目的] 优选复方夏枯草洗剂的提取工艺。[方法] 采用L₉（3⁴）正交设计，以迷迭香酸、丹酚酸B的含量及出膏率的综合评分为指标，考察料液比、提取时间、提取次数对提取效果的影响，优选复方夏枯草洗剂的最佳提取工艺。[结果] 根据综合评分的结果，优选出最佳提取工艺为加8倍水，提取3次，每次0.5 h。[结论] 该工艺准确可靠，可行性好。     

中药生产过程质量控制关键技术研究进展

中医药发展已上升到国家战略层面,在医药行业贯彻实施"中国制造2025"战略的新形势下,中药生产过程质量控制是中药工业需要加快突破的关键领域之一。对中药生产过程质量控制领域在工艺设计、分析检测、过程建模、制造装备等方面的关键共性问题进行解析,综述了中药生产过程质量控制体系中工艺过程理解、生产过程实时分析方法开发、过程控制策略建立3个方面的研究进展;并结合企业研究实践,介绍了质量源于设计(quality by design,Qb D)、过程分析技术(process analytical technology,PAT)、实验设计(design of experiment,DOE)、多变量统计分析等关键技术在上述3个研究方向中的应用进展,分析了实际工业应用的难点问题并对其应用前景进行展望,旨在为中药企业应用和提升生产过程质量控制技术提供参考。