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...
Evaluating efficiency of counties in providing diabetes preventive care using data envelopment analysis [0.03%]
运用数据包络分析评估各县提供糖尿病预防护理的效率
Hyojung Kang,Soyoun Kim,Kevin Malloy et al.
Hyojung Kang et al.
For patients with diabetes, annual preventive care is essential to reduce the risk of complications. Local healthcare resources affect the utilization of diabetes preventive care. Our objectives were to evaluate the relative efficiency of c...
Advanced models for improved prediction of opioid-related overdose and suicide events among Veterans using administrative healthcare data [0.03%]
利用行政医疗数据改进退伍军人阿片类药物相关过量和自杀事件预测的高级模型
Ralph Ward,Erin Weeda,David J Taber et al.
Ralph Ward et al.
Veterans suffer disproportionate health impacts from the opioid epidemic, including overdose, suicide, and death. Prediction models based on electronic medical record data can be powerful tools for identifying patients at greatest risk of s...