Integrating Patient Involvement Interventions within Clinical Practice: A Mixed-Methods Study of Health Care Professional Reasoning [0.03%]
在临床实践中整合患者参与干预措施：对卫生保健专业人员推理的混合方法研究
Anna Holm,Lotte Ørneborg Rodkjær,Hilary Louise Bekker
Anna Holm
Background. Patient involvement interventions are complex interventions that improve patient involvement in treatment and care in health care systems. Studies report several benefits of patient involvement interventions and that health care...
Resource Utilization and Costs Associated with Approaches to Identify Infants with Early-Onset Sepsis [0.03%]
用于识别早发性败血症婴儿的相关方法的资源利用和费用分析
Grace Guan,Neha S Joshi,Adam Frymoyer et al.
Grace Guan et al.
Objective. To compare resource utilization and costs associated with 3 alternative screening approaches to identify early-onset sepsis (EOS) in infants born at ≥35 wk of gestational age, as recommended by the American Academy of Pediatrics...
Predicting COVID-19 Outbreaks in Correctional Facilities Using Machine Learning [0.03%]
使用机器学习预测矫正设施中的COVID-19疫情爆发
Giovanni S P Malloy,Lisa B Puglisi,Kristofer B Bucklen et al.
Giovanni S P Malloy et al.
Introduction. The risk of infectious disease transmission, including COVID-19, is disproportionately high in correctional facilities due to close living conditions, relatively low levels of vaccination, and reduced access to testing and tre...
Using Expert Elicitation to Adjust Published Intervention Effects to Reflect the Local Context [0.03%]
使用专家征询法调整已发表的干预效果以反映当地情况
Jodi Gray,Tilenka R Thynne,Vaughn Eaton et al.
Jodi Gray et al.
Background. Local health services make limited use of economic evaluation to inform decisions to fund new health service interventions. One barrier is the relevance of published intervention effects to the local setting, given these effects...
Understanding Treatment Preferences for Patients with Tricuspid Regurgitation [0.03%]
三尖瓣反流患者治疗偏好的认识
Vijay Iyer,Nadeen N Faza,Michael Pfeiffer et al.
Vijay Iyer et al.
Background. Tricuspid regurgitation (TR) is a high-prevalence disease associated with poor quality of life and mortality. This quantitative patient preference study aims to identify TR patients' perspectives on risk-benefit tradeoffs. Metho...
Application of Time-Series Analysis and Expert Judgment in Modeling and Forecasting Blood Donation Trends in Zimbabwe [0.03%]
时间序列分析及专家判断在津巴布韦献血趋势建模和预测中的应用
Coster Chideme,Delson Chikobvu
Coster Chideme
Background. Blood cannot be artificially manufactured, and there is currently no substitute for human blood. The supply of blood in transfusion facilities requires constant and timely collection of blood from donors. Modeling and forecastin...
Understanding and Bridging Gaps in the Use of Evidence from Modeling for Evidence-Based Policy Making in Nigeria's Health System [0.03%]
理解并在尼日利亚卫生系统中用模型生成的证据进行循证决策的应用方面的差距以及如何弥合这些差距
Chinyere Mbachu,Prince Agwu,Felix Obi et al.
Chinyere Mbachu et al.
Background. Modeled evidence is a proven useful tool for decision makers in making evidence-based policies and plans that will ensure the best possible health system outcomes. Thus, we sought to understand constraints to the use of models i...
Development of Complementary Encounter and Patient Decision Aids for Shared Decision Making about Stroke Prevention in Atrial Fibrillation [0.03%]
关于心房颤动的中风预防共同决策发展中互补的遭遇和病人决策辅助的方法
Aubrey E Jones,Madeleine M McCarty,Kenzie A Cameron et al.
Aubrey E Jones et al.
Introduction: Decision aids (DAs) are helpful instruments used to support shared decision making (SDM). Patients with atrial fibrillation (AF) face complex decisions regarding stroke prevention strategies. While a few DAs...
Informed Random Forest to Model Associations of Epidemiological Priors, Government Policies, and Public Mobility [0.03%]
基于流行病学先验、政府政策和公众出行的随机森林模型分析它们之间的关联
Tsaone Swaabow Thapelo,Dimane Mpoeleng,Gregory Hillhouse
Tsaone Swaabow Thapelo
Background. Infectious diseases constitute a significant concern worldwide due to their increasing prevalence, associated health risks, and the socioeconomic costs. Machine learning (ML) models and epidemic models formulated using determini...
Estimating the Health Care Expenditure to Manage and Care for Type 2 Diabetes in Nepal: A Patient Perspective [0.03%]
尼泊尔从患者视角估算2型糖尿病的医疗保健支出
Padam Kanta Dahal,Lal Rawal,Zanfina Ademi et al.
Padam Kanta Dahal et al.
Background. This study aimed to estimate the health care expenditure for managing type 2 diabetes (T2D) in the community setting of Nepal. Methods. This is a baseline cross-sectional study of a heath behavior intervention that was conducted...