息护理干预和在家死亡:一个集群随机试验
M S Jordhøy1, P Fayers, T Saltnes
1Unit of Applied Clinical Research, Norwegian University of Science and Technology, Kreftbygget, University Hospital of Trondheim. mjordhoy@online.no
Lancet (London, England)
|October 19, 2000
概括
这种息护理干预有助于更多患者在家中死亡. 需要增加家庭护理资源和养老院重点,以进一步增加在家的时间,减少住院患者.
科学领域:
- 抚慰性护理是一种缓解性护理.
- 医疗服务研究 医疗服务研究
- 临床试验 临床试验
背景情况:
- 一个息医学部门实施了一项干预措施,以增加家庭死亡.
- 这需要社区卫生专业人员和多学科团队之间的密切合作.
- 进行了一个集群随机试验,以评估干预的有效性.
研究的目的:
- 评估息护理干预措施的有效性.
- 将干预组与常规护理控制组进行比较.
- 确定对死亡地点和机构时间的影响.
主要方法:
- 在挪威的社区卫生区使用了一个集群随机试验设计.
- 纳入了434名患有无法治愈的恶性疾病和2至9个月的预期寿命的患者.
- 主要结局包括死亡地点和生命最后一个月在机构度过的时间.
主要成果:
- 与对照组相比,干预组中的更多患者在家中死亡 (25%对15%).
- 干预患者在养老院度过的时间比例明显较小 (7.2%与14.6%相比).
- 在家度过的总时间没有显著增加,医院使用时间保持不变.
结论:
- 息护理干预成功增加了家庭死亡.
- 为家庭护理提供额外的资源,包括培训和人员,是必不可少的.
- 更多地利用养老院可能是必要的,以最大限度地提高在家的时间,减少住院治疗.
相关概念视频
What is an Experiment?
An experiment is a planned activity carried out under controlled conditions. The purpose of an experiment is to investigate the relationship between two variables. When one variable causes change in another, we call the first variable the explanatory or independent variable. The affected variable is called the response or dependent variable. In a randomized experiment, the researcher manipulates values of the explanatory variable and measures the resulting changes in the response variable. The...
Randomized Experiments
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
Simple randomization
Simple...
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...
Censoring Survival Data
Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different reasons...

