再团结后的案例工作者访问和儿童重新进入托儿所:生存分析
Haksoon Ahn1, Terry Shaw1, Jinyung Kim1
1School of Social Work, University of Maryland, Baltimore, MD, USA.
Child maltreatment
|May 27, 2024
概括
团结后的社会工作者访问显著减少了儿童福利重新进入. 影响重新入境的关键因素包括儿童人口统计学,行为问题和法院的参与,突出了明确政策的必要性.
科学领域:
- 儿童福利研究 儿童福利研究
- 社会工作研究 社会工作研究
- 公共政策分析 公共政策分析
背景情况:
- 防止儿童重新进入福利制度是一个关键的挑战.
- 了解影响团聚稳定的因素对于有效的干预至关重要.
研究的目的:
- 检查统一后案例工作者访问对儿童福利重新入职的影响.
- 确定与增加或减少再入境风险相关的特定因素.
主要方法:
- 分析了来自中大西洋州3,510名团聚儿童的行政数据 (2016年7月 - 2020年6月).
- 利用生存分析,根据各种因素评估重新进入的风险.
主要成果:
- 没有团结后社会工作者访问的儿童的重新入学率更高.
- 增加重新入境风险的因素:男性性别,城市位置,之前的移除历史,行为问题,法院命令的返回.
- 降低重新入境风险的因素:黑人儿童,年长的儿童,试验性家庭访问和团结后的案例工作者访问.
结论:
- 建议对团结后的案例工作者访问政策进行正式化.
- 加强儿童福利和法院系统之间的合作可以改善结果.
相关概念视频
Assumptions of Survival Analysis
123
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
123
Comparing the Survival Analysis of Two or More Groups
177
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...
177
Introduction To Survival Analysis
220
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
The primary goal of survival analysis is to estimate survival time—the time...
220
Censoring Survival Data
82
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...
82
Survival Tree
80
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
Building a Survival Tree
Constructing a...
Building a Survival Tree
Constructing a...
80
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


