相关实验视频
"风险调整"医院结果的比较
David M Shahian1, Sharon-Lise T Normand
1Center for Quality and Safety, Department of Surgery, and Institute for Health Policy, Massachusetts General Hospital, and Harvard Medical School, Boston, MA 02115, USA.
Circulation
|April 9, 2008
概括
将医院结果进行比较需要仔细调整风险. 机构间的直接比较往往是误导性的,除非案例混合分布有明显的重叠,突出了对适当统计方法的需求.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 研究成果 研究成果 研究成果
- 卫生政策分析 卫生政策分析
背景情况:
- 在不同人群中比较医疗保健结果是一个重大挑战.
- 医院绩效指标,特别是风险调整后的结果,经常被误解.
- 仅仅基于风险调整直接比较机构可能会误导.
研究的目的:
- 用风险调整评估医院结局之间的直接比较的有效性.
- 评估案例混合可比性对风险调整后死亡率解释的影响.
- 确定风险调整后的结果何时可以可靠地用于机构间比较.
主要方法:
- 在马萨诸塞州14家医院进行隔离冠状动脉旁路移植手术后,对30天全因死亡率的分析 (2003年).
- 利用分层后勤回归来间接标准化医院死亡率.
- 员工倾向评分,以评估病例混合的可比性和医院之间的共变量平衡.
主要成果:
- 在案例组合中存在足够的重叠通常是合理的,比较个别医院的表现与总体.
- 一些对照性医院比较显示了病例组合的显著差异,质疑了直接可比性.
- 风险调整本身并不能保证提供商直接并行分析的可比性.
结论:
- 风险调整后的结果反映了与平均提供商相比,特定案例组合的提供商业绩.
- 使用风险调整结果的机构的直接比较是不合适的,除非在案例混合分布中证明重叠.
- 倾向分数可以帮助改善共变量平衡,并在适当时证明比较分析的合理性.
相关概念视频
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Comparing the Survival Analysis of Two or More Groups
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and Cox...
Hazard Ratio
The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial evaluating a...
For example, in a clinical trial evaluating a...
Hospitals-II
Hospitals provide inpatient and outpatient services. Inpatient services provide care to patients that stay in the hospital for an extended period, ranging from days to months. Examples of inpatient services include intensive care units, hospital wards, or surgeries. Outpatient services provide care to patients who come to a hospital for a diagnostic or treatment but do not stay overnight —for example, diagnostic tests, surgical procedures, or health education.
Nurses that work in hospitals have...
Nurses that work in hospitals have...
Relative Risk
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
Cancer Survival Analysis
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...