相关实验视频

Updated: Jun 25, 2025

Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design

Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design

Published on: May 31, 2021

一个模型的试点研究,用于收集等待列表数据的模型

Rosaria Iardino¹, Elisa Sala², Emanuela Reale³

¹Fondazione The Bridge, Milan, Italy.

Studies in health technology and informatics

|May 24, 2024

概括

候选人名单管理国家计划 (PNGLA) 缺乏具体的数据要求,阻碍了分析. 一项试点研究引入了一个有效的,可复制的数据收集模型,以更好地了解等待列表.

科学领域:

医疗保健管理的管理
医疗信息学医疗信息学
公共卫生政策公共卫生政策

背景情况:

目前的意大利医疗等待名单分析受到国家等待名单管理计划 (PNGLA) 的阻碍.
由于PNGLA缺乏标准化的数据特征,导致区域数据不完整,无法阅读,或不适合进行有意义的分析.
这种数据缺陷阻碍了对医疗保健资源分配的有效监测和战略决策.

研究的目的:

开发和评估用于收集标准化等候名单数据的方法模型.
评估拟议的数据收集模型的有效性和可复制性.
增强等候名单数据的分析价值,以改善医疗管理.

主要方法:

桥梁基金会和AGENAS与热那亚大学和帕维亚大学合作进行了一项试点研究.
该研究的重点是实施和测试一种用于收集详细等候名单信息的新方法模型.
通过模型收集的数据被评估为完整性,可读性和分析实用性.

主要成果:

试点研究表明,拟议的方法模型在收集可用的等候名单数据方面是有效的.
该模型被证明可以在不同的区域医疗保健系统中复制.
标准化数据有助于对等候名单动态进行更有价值和更深入的分析.

结论:

开发的方法模型通过提供标准化的数据收集方法来解决当前PNGLA的局限性.
该模型的实施可以显著提高意大利等候名单数据的质量和分析潜力.
这种增强的数据分析能力支持更好的医疗保健规划和患者管理.

关键词:

等候名单数据等待名单数据分析分析分析模型模型模型模型模型模型监控监控监控监控监控监控编程编程编程编程编程公共卫生公共卫生.标准化标准化标准化

更多相关视频

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Published on: August 8, 2019

A Method for Manipulating Blood Glucose and Measuring Resulting Changes in Cognitive Accessibility of Target Stimuli

A Method for Manipulating Blood Glucose and Measuring Resulting Changes in Cognitive Accessibility of Target Stimuli

Published on: August 12, 2016

相关概念视频

Data Collection by Observations

Data Collection by Observations

Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...

Data Collection by Experiments

Data Collection by Experiments

Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...

Longitudinal Research

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...

Observational Studies

Observational Studies

Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...

Censoring Survival Data

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...

Group Design

Group Design

The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...