通过劳动力数据追踪长期服务并支持通过劳动力数据重新平衡
1Harvard University, Cambridge, Massachusetts, USA.
Health services research
|February 22, 2024
概括
长期服务和支持 (LTSS) 劳动力数据显示,老年人的社区环境正大大转向社区环境. 这些数据为跟踪LTSS再平衡和利用趋势提供了对行政索赔的可靠替代方案.
科学领域:
- 老年学是一门学科.
- 医疗保健服务研究 医疗服务研究
- 公共卫生政策 公共卫生政策
背景情况:
- 长期服务和支持 (LTSS) 对老龄化人口和残疾人至关重要.
- 了解劳动力趋势是评估从机构到社区护理的转变的关键.
- 追踪LTSS再平衡的现有方法在数据可比性方面面临挑战.
研究的目的:
- 分析从2008年到2022年的长期服务和支持 (LTSS) 劳动力趋势.
- 评估LTSS劳动力数据的实用性,以衡量将资源转移到基于社区的环境中的进展.
- 将劳动力供应指标与LTSS利用率和支出数据进行比较.
主要方法:
- 利用美国社区调查数据从2008年到2022年,涵盖超过336,000名LTSS工人和300万个LTSS需求的个人.
- 构建了LTSS再平衡和人均劳动力供应的指标.
- 雇员状态固定效应回归分析劳动力供应和LTSS利用之间的关系.
主要成果:
- 在2008年至2022年期间,社区环境中的LTSS员工比例从44%增加到58%.
- 社区劳动力在2013年之前大幅增长,然后停滞不前,而机构劳动力下降,在COVID-19大流行期间加速.
- 劳动力供应措施与老年人使用LTSS有很强的相关性,但对于年轻的残疾人而言没有.
结论:
- LTSS劳动力数据有效地跟踪老年人的使用变化,为行政索赔提供了可比的替代方案.
- 这种方法绕过了编码变化和管理护理转移所产生的可比性问题.
- 需要进一步研究年轻LTSS消费者的劳动力趋势.
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