Out-of-Pocket Spending for Non-Birth-Related Hospitalizations of Privately Insured US Children, 2017 to 2019 [0.03%]
2017至2019年美国儿童非分娩住院的自付费用支出情况：按私人保险分类分析
Erin F Carlton,Nora V Becker,Michelle H Moniz et al.
Erin F Carlton et al.
Importance: Privately insured US children account for 40% of non-birth-related pediatric hospitalizations. However, there are no national data on the magnitude or correlates of out-of-pocket spending for these hospitaliza...
The Price of Admission-The Financial Burden of Out-of-Pocket Hospital Costs for Children [0.03%]
住院自费医疗费用给儿童及其家长带来的经济负担
Alison A Galbraith,Marema Gaye,Anna D Sinaiko
Alison A Galbraith
Attention to Co-occurring Disorders, Crisis Care, and Adequate Funding May Bolster Pediatric Access to Behavioral Health Care-Reply [0.03%]
对并发障碍、危机护理和充足资金的关注可能增强儿童获得心理健康护理的机会-回复
Jennifer A Hoffmann,Megan M Attridge
Jennifer A Hoffmann
Assessment of Reported Time to Access a Loaded Gun Among Colorado Adolescents [0.03%]
评估科罗拉多州青少年报告的获取上膛枪支所需时间的情况
Virginia McCarthy,Erin Wright-Kelly,Benjamin Steinhart et al.
Virginia McCarthy et al.
A Call for Consistent Screening and Measurement of Adolescent Food Insecurity [0.03%]
呼吁一致地筛查和测量青少年食物不足状况
Kaitlyn Harper,Hilary Seligman
Kaitlyn Harper
Effectiveness of Structured Care Coordination for Children With Medical Complexity: The Complex Care for Kids Ontario (CCKO) Randomized Clinical Trial [0.03%]
儿童综合照顾协调有效性的随机对照试验：基于安大略省的儿童复杂呵护研究(CCKO)
Eyal Cohen,Samantha Quartarone,Julia Orkin et al.
Eyal Cohen et al.
Importance: Children with medical complexity (CMC) have chronic conditions and high health needs and may experience fragmented care. Objective: ...
Evaluating the Accuracy of Pulse Oximetry in Children According to Race [0.03%]
种族不同的儿童脉搏氧饱和度测定的精确性评价
Halley Ruppel,Spandana Makeneni,Jennifer A Faerber et al.
Halley Ruppel et al.
Effects of Racial Bias in Pulse Oximetry on Children and How to Address Algorithmic Bias in Clinical Medicine [0.03%]
种族偏见对脉搏血氧仪在儿童中应用的影响及临床医学中应对算法偏倚的方法
Keyaria D Gray,Hamsa L Subramaniam,Erich S Huang
Keyaria D Gray
Jay G Berry,Chris Feudtner
Jay G Berry
Machine Learning and Statistics in Clinical Research Articles-Moving Past the False Dichotomy [0.03%]
临床研究论文中的机器学习和统计学——超越虚假的二分法
Samuel G Finlayson,Andrew L Beam,Maarten van Smeden
Samuel G Finlayson