Deepm5C: A deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy

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Capturing the value of vaccination within health technology assessment and health economics: Country analysis and priority value concepts

BackgroundA value of vaccination framework for economic evaluation (EE) identified unique value concepts for the broad benefits vaccination provides to individuals, society, healthcare systems and national economies. The objectives of this paper were to work with experts in developed countries to objectively identify three priority concepts to extend current EE.MethodsThe previously developed classification of value concepts in vaccination distinguished 18 concepts, categorised as conventional payer and societal perspective concepts and novel broader societal concepts. Their inclusion in current EE guidelines was assessed. Experts identified eight criteria relevant to decision-making and measurement feasibility, which were weighted and used to score each concept. The relative ranking of concepts by importance and the gaps in guidelines were used to identify three priority concepts on which to focus immediate efforts to extend EE.ResultsThe EE guidelines review highlighted differences across countries and between guidelines and practice. Conventional payer perspective concepts (e.g., individual and societal health gains and medical costs) were generally included, while gaps were evident for conventional societal perspective concepts (e.g., family/caregiver health and economic gains). Few novel broader societal benefits were considered, and only in ad hoc cases. The top-three concepts for near-term consideration: macroeconomic gains (e.g., benefiting the economy, tourism), social equity and ethics (e.g., equal distribution of health outcomes, reduced health/financial equity gaps) and health systems strengthening, resilience and security (e.g., efficiency gains, reduced disruption, increased capacity).ConclusionsGaps, inconsistencies and limited assessment of vaccination value in EE can lead to differences in policy and vaccination access. The three priority concepts identified provide a feasible approach for capturing VoV more broadly in the near-term. Robust methods for measuring and valuing these concepts in future assessments will help strengthen the evidence used to inform decisions, improving access to vaccines that are demonstrably good value for money from society’s point of view.     

Adopting global tools for the advancement of pharmacy practice and workforce in Saudi Arabia

BackgroundThe continuing expansion of the pharmacist’s role necessitates continuous evaluation of current practice to identify strategies for improvements. The International Pharmaceutical Federation (FIP) has developed tools to support stakeholders in identifying development needs and planning advancement strategies. The aim of this research was to utilise the FIP Global Competency Framework, version 2 (GbCF v2), and FIP Development Goals (DGs) to evaluate competencies related to pharmacy practice in Saudi Arabia, and to understand the strategies needed to develop and improve the current practice.MethodsThe study involved four phases. Phase 1 involved translation of the FIP GbCF v2 into the Arabic language. Phase 2 was a consensus panel validation to establish the initial relevance of the competencies to current practice. Phase 3 included a national survey distributed to all registered pharmacists in Saudi Arabia. The final phase was conducted through mapping ‘not relevant’ competencies to FIP DGs to identify priorities.ResultsThe translation phase yielded a bilingual framework that could be utilized by pharmacists in Saudi Arabia. The initial validation phase identified 61 behavioral statements (from 124 in the GbCF v2) as ‘highly relevant’ or ‘relevant’ to pharmacy practice. Findings from the national survey identified a list of ‘not relevant’ competencies that could highlight gaps in current practice. The final mapping phase generated a list of three FIP DG priorities: DG5 (competency development), DG8 (working with others) and DG11 (impact and outcomes).ConclusionThe study indicated that competencies in the GbCF v2 were relevant to pharmacists practicing in the country. However, some competencies were perceived as ‘not relevant’ to current practice and these highlighted gaps in the current practice that need attention. Mapping ‘not relevant’ competencies to FIP DGs should be used as a starting point towards developing strategies, systems, and protocols to advance pharmacy practice in Saudi Arabia.     

EEG functional connectivity contributes to outcome prediction of postanoxic coma

ObjectiveTo investigate the additional value of EEG functional connectivity features, in addition to non-coupling EEG features, for outcome prediction of comatose patients after cardiac arrest.MethodsProspective, multicenter cohort study. Coherence, phase locking value, and mutual information were calculated in 19-channel EEGs at 12 h, 24 h and 48 h after cardiac arrest. Three sets of machine learning classification models were trained and validated with functional connectivity, EEG non-coupling features, and a combination of these. Neurological outcome was assessed at six months and categorized as “good” (Cerebral Performance Category [CPC] 1–2) or “poor” (CPC 3–5).ResultsWe included 594 patients (46% good outcome). A sensitivity of 51% (95% CI: 34–56%) at 100% specificity in predicting poor outcome was achieved by the best functional connectivity-based classifier at 12 h after cardiac arrest, while the best non-coupling-based model reached a sensitivity of 32% (0–54%) at 100% specificity using data at 12 h and 48 h. Combination of both sets of features achieved a sensitivity of 73% (50–77%) at 100% specificity.ConclusionFunctional connectivity measures improve EEG based prediction models for poor outcome of postanoxic coma.SignificanceFunctional connectivity features derived from early EEG hold potential to improve outcome prediction of coma after cardiac arrest.     

Dynamic functional connectivity of the EEG in relation to outcome of postanoxic coma

ObjectiveEarly EEG contains reliable information for outcome prediction of comatose patients after cardiac arrest. We introduce dynamic functional connectivity measures and estimate additional predictive values.MethodsWe performed a prospective multicenter cohort study on continuous EEG for outcome prediction of comatose patients after cardiac arrest. We calculated Link Rates (LR) and Link Durations (LD) in the α, δ, and θ band, based on similarity of instantaneous frequencies in five-minute EEG epochs, hourly, during 3 days after cardiac arrest. We studied associations of LR and LD with good (Cerebral Performance Category (CPC) 1–2) or poor outcome (CPC 3–5) with univariate analyses. With random forest classification, we established EEG-based predictive models. We used receiver operating characteristics to estimate additional values of dynamic connectivity measures for outcome prediction.ResultsOf 683 patients, 369 (54%) had poor outcome. Patients with poor outcome had significantly lower LR and longer LD, with largest differences 12 h after cardiac arrest (LR_θ 1.87 vs. 1.95 Hz and LD_α 91 vs. 82 ms). Adding these measures to a model with classical EEG features increased sensitivity for reliable prediction of poor outcome from 34% to 38% at 12 h after cardiac arrest.ConclusionPoor outcome is associated with lower dynamics of connectivity after cardiac arrest.SignificanceDynamic functional connectivity analysis may improve EEG based outcome prediction.     

门诊分诊叫号系统构建

以江苏省人民医院为例，介绍医院门诊分诊叫号系统设计。从软硬件实现两方面阐述系统整体架构、具体功能和应用实践，指出该系统有助于改善门诊就医环境、减轻医护人员工作压力、提升患者满意度。     

行为决策的评估理论构建研究

本研究构建了行为决策的评估理论,揭示人类行为发生、发展和改变的规律,为开展健康相关行为干预提供科学依据。本理论认为,所有的人类行为都是个体为了生存和发展,在对内、外部刺激进行评估后所做出的主动反应。个体以基因遗传、自我图式、群体规范和直觉为参照系,对内、外部刺激的重要性、安全性威胁和获益性,以及个体所拥有的行为资源进行感觉性评估和社会性评估,用以做出生理性反应和社会性行为决策,并通过感受器、中枢神经和效应器,形成“刺激-评估-行为决策-行为”循环。开展行为干预时,应通过与个体进行讨论和分析,帮助其发现和确认刺激的重要性、安全性、获益性及其拥有的行为资源。