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主要活动轨迹部分工作能力失业者的集群和集群特征
Joonas Poutanen1, Kia Gluschkoff1, Johanna Kausto1
1Finnish Institute of Occupational Health, Finland.
Scandinavian journal of public health
|November 20, 2023
概括
有部分工作能力的个人是多样化的. 识别诸如提前退休或从就业转向失业的子组是定制支持和预防长期失业的关键.
科学领域:
- 社会科学 社会科学 社会科学
- 公共卫生 公共卫生
- 职业健康 职业健康 职业健康
背景情况:
- 早期识别部分工作能力的子组对于有效的服务开发至关重要.
- 防止被排除在工作生活和长期失业之外,需要了解各种需求.
- 部分工作能力是一个复杂的问题,需要细微的方法.
研究的目的:
- 在具有部分工作能力的个人中确定不同的主要活动轨迹集群.
- 分析这些集群中的社会人口统计学,健康,工作能力和功能特征.
- 为面临工作能力挑战的个人提供有针对性的干预信息.
主要方法:
- 在主要活动数据 (2005-2021) 上利用了最佳匹配,以实现轨迹相似性.
- 应用集群分析,将参与者分为四个主要活动轨迹.
- 检查了所识别的集群的社会人口统计学,健康,工作能力和功能特征.
主要成果:
- 确定了四个集群:提前退休,对外部劳动力的研究,对失业者的就业和长期就业.
- "早期退休"集群报告了最高的感知工作能力和功能.
- "从就业到失业"集群面临着重大的健康,工作能力,功能和福祉问题.
结论:
- 有部分工作能力的个人代表了一个异质的群体,其能力减少的原因各不相同.
- 多个数据源对于准确地描述具有部分工作能力的个体至关重要.
- 需要量身定制的支持策略,以满足这一群体内的多样化需求.
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