开发一个统计分析软件,以确定一个全面的跌倒风险管理协议的有效性
Pavitra Manjari Attanayake1, Jonathon Reither2
1Michigan State University College of Human Medicine, Grand Rapids, Michigan, USA attanay1@msu.edu.
BMJ open quality
|December 17, 2023
概括
开发了一个新的防摔协议 (FPP) 软件,以比较降落减少的有效性. 这种工具有助于确定FPP是否优于单独的TUG测试对老年人跌倒风险.
科学领域:
- 老年医学 老年医学
- 公共卫生 公共卫生
- 生物统计学 生物统计学
背景情况:
- 跌倒是老年人致命伤害的主要原因,预计与跌倒相关的死亡人数将大幅增加.
- 定时升级和启动 (TUG) 测试屏幕用于降落风险,但缺乏标准化的干预后续协议.
- 高级初级保健 (APC) 设置需要为老年人群制定有效的防摔策略.
研究的目的:
- 开发用户友好的统计分析软件,以评估落预防协议 (FPP) 的有效性.
- 为了比较FPP与TUG测试的疗效,在没有标准化的后测试协议的情况下用于减少老年人倒.
- 提供一个工具,用于在APC设置中对防摔策略的定量分析.
主要方法:
- 开发了一个使用MATLAB R2022b的统计分析软件,最终作为一个独立的应用程序.
- 该软件分析患者跌倒史数据集,以确定最合适的统计测试进行比较.
- 它评估并得出结论,哪个协议,单独的FPP还是TUG,在减少跌倒方面更有利.
主要成果:
- 开发的软件是用户友好的,并且需要医疗保健专业人员进行最低限度的培训.
- 它适合在临床环境中使用,用于分析跌倒风险协议的有效性.
- 该应用程序成功地确定了不同防摔方案的比较好处.
结论:
- 创建的软件提供了一种可靠的方法来评估防摔策略.
- 它支持基于证据的决策在APC设置中的老年人跌倒风险管理.
- 这种工具有助于未来的研究和实施有效的降落减少计划.
相关概念视频
Statistical Software for Data Analysis and Clinical Trials
563
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
563
Statistical Analysis System (SAS)
181
SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
181
Statistical Methods for Analyzing Epidemiological Data
371
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
371


