Test-specific funnel plots for healthcare provider profiling leveraging individual- and summary-level information [0.03%]
基于个体和汇总信息的检验特异性漏斗图在医疗保健提供者绩效评价中的应用研究
Wenbo Wu,Jonathan P Kuriakose,Wenjing Weng et al.
Wenbo Wu et al.
In addition to applications in meta-analysis, funnel plots have emerged as an effective graphical tool for visualizing the detection of health care providers with unusual performance. Although there already exist a variety of approaches to ...
Methodological considerations for estimating policy effects in the context of co-occurring policies [0.03%]
共存政策背景下估计政策效应的研究方法考量
Beth Ann Griffin,Megan S Schuler,Joseph Pane et al.
Beth Ann Griffin et al.
Understanding how best to estimate state-level policy effects is important, and several unanswered questions remain, particularly about the ability of statistical models to disentangle the effects of concurrently enacted policies. In practi...
A tutorial comparing different covariate balancing methods with an application evaluating the causal effects of substance use treatment programs for adolescents [0.03%]
比较不同的协变量平衡方法的教程及其在评估青少年物质使用治疗项目的因果效应方面的应用
Andreas Markoulidakis,Khadijeh Taiyari,Peter Holmans et al.
Andreas Markoulidakis et al.
Randomized controlled trials are the gold standard for measuring causal effects. However, they are often not always feasible, and causal treatment effects must be estimated from observational data. Observational studies do not allow robust ...
Bipin Kumar Rai
Bipin Kumar Rai
The supply chain is a complex network in healthcare that crosses organizational and geographical borders. The inherent complexity of such structures can introduce impurities inclusive of erroneous facts, lack of transparency, and restricted...
Ziyue Wu,Seth A Berkowitz,Patrick J Heagerty et al.
Ziyue Wu et al.
Objective: To improve the estimation of healthcare expenditures by introducing a novel method that is well-suited to situations where data exhibit strong skewness and zero-inflation. ...
Building staff capability, opportunity, and motivation to provide smoking cessation to people with cancer in Australian cancer treatment centres: development of an implementation intervention framework for the Care to Quit cluster randomised controlled trial [0.03%]
在澳大利亚癌症治疗中心提高员工戒烟服务的能力、机会和动机：为了“在集群随机对照试验中提供癌症患者的戒烟服务”而制定实施干预框架
Annika Ryan,Alison Luk Young,Jordan Tait et al.
Annika Ryan et al.
Few rigorous studies provide a clear description of the methodological approach of developing an evidence-based implementation intervention, prior to implementation at scale. This study describes the development, mapping, rating, and review...
Using Veterans Affairs Corporate Data Warehouse to identify 30-day hospital readmissions [0.03%]
退伍军人事务公司数据仓库中30天内因同样的原因再次住院患者的识别
Brenda M Vincent,Wyndy L Wiitala,Jennifer A Burns et al.
Brenda M Vincent et al.
Hospital readmission is a key metric of hospital quality, such as for comparing Veterans Affairs (VA) hospitals to private sector hospitals. To calculate readmission rates, one must first identify individual hospitalizations. However, in th...
Addressing unmeasured confounding bias with a prior knowledge guided approach: coronary artery bypass grafting (CABG) versus percutaneous coronary intervention (PCI) in patients with stable ischemic heart disease [0.03%]
利用先验知识引导方法解决未测量混杂偏倚问题：稳定型缺血性心脏病患者的冠状动脉旁路移植术(CABG)与经皮冠状动脉介入治疗(PCI)的比较
Lewei Duan,Ming-Sum Lee,Jason N Doctor et al.
Lewei Duan et al.
Unmeasured confounding undermines the validity of observational studies. Although randomized clinical trials (RCTs) are considered the "gold standard" of study types, we often observe divergent findings between RCTs and empirical settings. ...
A comparison of approaches to identify live births using the medicaid analytic extract [0.03%]
利用Medicaid分析提取数据识别活产的几种方法比较
Sara E Heins,Laura J Faherty,Ashley M Kranz
Sara E Heins
Medicaid claims are an important, but underutilized source of data for neonatal health services research in the United States. However, identifying live births in Medicaid claims data is challenging due to variation in coding practices by s...
Incorporating respondent-driven sampling into web-based discrete choice experiments: preferences for COVID-19 mitigation measures [0.03%]
结合网络离散选择实验中的响应驱动采样：对COVID-19缓解措施的偏好研究
Courtney A Johnson,Dan N Tran,Ann Mwangi et al.
Courtney A Johnson et al.
To slow the spread of COVID-19, most countries implemented stay-at-home orders, social distancing, and other nonpharmaceutical mitigation strategies. To understand individual preferences for mitigation strategies, we piloted a web-based Res...