单位间可靠性的局限性:一组实用示例
Nicholas Hartman1,2, Vahakn B Shahinian2,3, Valarie B Ashby1,2
1Department of Biostatistics, University of Michigan, Ann Arbor, MI, U.S.A.
Health services & outcomes research methodology
|August 15, 2024
概括
单位间可靠性 (IUR) 可能低估了医疗保健质量变化. 衡量发展的最佳实践可以降低IUR,可能导致对有价值的质量措施的不合理抛弃.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 提高质量 提高质量
- 生物统计学 生物统计学
背景情况:
- 医疗保健质量指标对于评估提供者绩效至关重要.
- 在临床实施之前,评估措施可靠性至关重要.
- 单位间可靠性 (IUR) 是评估可靠性的常用统计数据.
研究的目的:
- 为了说明单位间可靠性 (IUR) 统计数据中的限制的实际含义.
- 展示某些措施开发实践如何影响IUR价值.
- 突出使用任意IUR值的潜在负面后果.
主要方法:
- 插图示例来展示IUR限制的实际含义.
- 分析风险调整和排除不稳定值对IUR的影响.
- 讨论基于IUR门的废弃措施的后果.
主要成果:
- 单位间可靠性 (IUR) 可能包括与实际医疗保健质量无关的变化.
- 风险调整和排除不稳定的数据等最佳实践可以减少样本IUR.
- 这表明看似低的IUR值并不总是表明可靠性差.
结论:
- IUR统计有严重的局限性,即提供者之间的变化可能不反映护理质量.
- 标准措施开发实践可以无意中减少IUR.
- 抛弃仅基于低IUR值的措施可能会导致有用的质量指标丢失.
相关概念视频
Reliability and Validity
12.7K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
12.7K
Uncertainty in Measurement: Accuracy and Precision
73.6K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.
73.6K
Systematic Error: Methodological and Sampling Errors
1.4K
In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
1.4K
Random and Systematic Errors
10.9K
Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
10.9K
Statistical Analysis: Overview
6.3K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
6.3K
Naturalistic Observations
15.4K
If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
15.4K


