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Limitations of the Inter-Unit Reliability: A Set of Practical Examples. 单位间可靠性的局限性:一组实际案例。
IF 1.6 4区 农林科学 Q2 VETERINARY SCIENCES Pub Date : 2024-06-01 Epub Date: 2023-06-28 DOI: 10.1007/s10742-023-00307-0
Nicholas Hartman, Vahakn B Shahinian, Valarie B Ashby, Katrina J Price, Kevin He

Healthcare quality measures are statistics that serve to evaluate healthcare providers and identify those that need to improve their care. Before using these measures in clinical practice, developers and reviewers assess measure reliability, which describes the degree to which differences in the measure values reflect actual variation in healthcare quality, as opposed to random noise. The Inter-Unit Reliability (IUR) is a popular statistic for assessing reliability, and it describes the proportion of total variation in a measure that is attributable to between-provider variation. However, Kalbfleisch, He, Xia, and Li (2018) [Health Services and Outcomes Research Methodology, 18, 215-225] have argued that the IUR has a severe limitation in that some of the between-provider variation may be unrelated to quality of care. In this paper, we illustrate the practical implications of this limitation through several concrete examples. We show that certain best-practices in measure development, such as careful risk adjustment and exclusion of unstable measure values, can decrease the sample IUR value. These findings uncover potential negative consequences of discarding measures with IUR values below some arbitrary threshold.

医疗质量测量是一种统计方法,用于评估医疗服务提供者,并找出需要改进的医疗服务提供者。在临床实践中使用这些测量指标之前,开发人员和审核人员要对测量指标的可靠性进行评估,可靠性描述了测量值的差异在多大程度上反映了医疗质量的实际变化,而不是随机噪音。单位间信度(IUR)是评估信度的常用统计量,它描述了医疗服务提供者之间的差异在测量值总差异中所占的比例。然而,Kalbfleisch、He、Xia 和 Li(2018)[《医疗服务与结果研究方法》,18,215-225] 认为,IUR 有一个严重的局限性,即部分医疗服务提供者之间的变异可能与医疗质量无关。在本文中,我们通过几个具体的例子来说明这一局限性的实际影响。我们表明,制定衡量标准时的某些最佳做法(如谨慎的风险调整和排除不稳定的衡量值)可以降低样本 IUR 值。这些发现揭示了剔除IUR值低于某个任意阈值的测量值可能带来的负面影响。
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引用次数: 0
Inactivation of Three Subtypes of Influenza A Virus by a Commercial Device Using Ultraviolet Light and Ozone 利用紫外线和臭氧的商用设备灭活三种亚型甲型流感病毒
IF 1.4 4区 农林科学 Q2 VETERINARY SCIENCES Pub Date : 2023-12-20 DOI: 10.1637/aviandiseases-d-23-00035
N. Sobhy, Angie Quiñonez Muñoz, Christiana R.B. Youssef, Sagar M. Goyal
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引用次数: 0
Vaccines to Control Salmonella in Poultry 控制家禽沙门氏菌的疫苗
IF 1.4 4区 农林科学 Q2 VETERINARY SCIENCES Pub Date : 2023-12-20 DOI: 10.1637/aviandiseases-d-23-99988
Roy Curtiss
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引用次数: 0
The Immunological Basis for Vaccination 疫苗接种的免疫学基础
IF 1.4 4区 农林科学 Q2 VETERINARY SCIENCES Pub Date : 2023-12-20 DOI: 10.1637/aviandiseases-d-23-99996
S. Rautenschlein, K. Schat
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引用次数: 0
Vaccination Against Poultry Parasites 家禽寄生虫疫苗接种
IF 1.4 4区 农林科学 Q2 VETERINARY SCIENCES Pub Date : 2023-12-20 DOI: 10.1637/aviandiseases-d-23-99989
R. Hauck, Kenneth S. Macklin
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引用次数: 0
Licensing Requirements for Poultry Veterinary Biologics in the United States 美国家禽兽用生物制品的许可要求
IF 1.4 4区 农林科学 Q2 VETERINARY SCIENCES Pub Date : 2023-12-20 DOI: 10.1637/aviandiseases-d-23-99993
Joan S. Schrader, Helen E. Smith
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引用次数: 0
Association Between Escherichia coli Load in the Gut and Body Weight Gain in Broiler Chickens: A Systematic Review and Meta-Analysis 肉鸡肠道大肠埃希氏菌负荷与体重增加之间的关系:系统回顾与元分析
IF 1.4 4区 农林科学 Q2 VETERINARY SCIENCES Pub Date : 2023-12-15 DOI: 10.1637/aviandiseases-d-23-00034
M. Abdelhamid, Omid Nekouei, Michael Hess, Surya Paudel
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引用次数: 0
Advancement of Autogenous Vaccines in the Poultry Industry 自体疫苗在家禽业中的应用进展
IF 1.4 4区 农林科学 Q2 VETERINARY SCIENCES Pub Date : 2023-12-15 DOI: 10.1637/aviandiseases-d-23-99990
Marshall Putnam, James Mills, M. Markis, J. El-Attrache
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引用次数: 0
Vaccination of Poultry Against Influenza 为家禽接种流感疫苗
IF 1.4 4区 农林科学 Q2 VETERINARY SCIENCES Pub Date : 2023-12-15 DOI: 10.1637/aviandiseases-d-23-99995
Marissa Studniski, Katie Stumvoll, M. Kromm, A. Ssematimba, Rosemary Marusak, Zheng Xing, Dave Halvorson, Marie R. Culhane, Carol J. Cardona
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引用次数: 0
Investigations into Increased Incidence of Severe Gizzard Erosions and Ulcerations in U.S. Commercial Broilers 对美国商用肉鸡严重胗糜烂和溃疡发病率增加的调查
IF 1.4 4区 农林科学 Q2 VETERINARY SCIENCES Pub Date : 2023-12-15 DOI: 10.1637/aviandiseases-d-23-00052
Matthew K. Jones, C. Hofacre, F. J. Hoerr, V. Baxter, ROY D. Berghaus, Holly S. Sellers, N. Ferguson-Noel, John A. Smith
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引用次数: 0
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