用复合指标方法验证英国退伍军人的复杂需求指标.
Anastasia Fadeeva1,2, Marco Tomietto1, Ajay Tiwari3
1Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, United Kingdom.
Public health in practice (Oxford, England)
|January 29, 2024
概括
一个新的指标有助于评估英国退伍军人的复杂需求. 这种工具有助于决策者进行风险分层和资源配置,以更好地支持退伍军人.
科学领域:
- 退伍军人的健康 退伍军人的健康
- 社会政策 社会政策 社会政策
- 数据科学是数据科学.
背景情况:
- 英国退伍军人面临着复杂,多方面的需求.
- 有效的评估对于有针对性的支持和资源分配至关重要.
- 现有的方法可能无法完全捕捉退伍军人支持要求的复杂性.
研究的目的:
- 开发和验证一种新的指标,以评估英国退伍军人需求的复杂性.
- 提供一个量化指标,反映退伍军人所需支持的广度和深度.
- 为退伍军人服务提供风险分层和资源分配策略的信息.
主要方法:
- 利用来自士兵,水手,飞行员和家庭协会 (SSAFA) 的大量数据集 (N=35,208) 的横截面二次分析.
- 应用主要组件分析 (PCA) 以根据不同需求的相互关系来确定不同需求的权重.
- 在复杂性评估中纳入需求的广度 (不同需求的数量) 和深度 (支持申请的数量) 的维度.
- 通过引导方法验证了指标的有效性.
主要成果:
- 开发的复杂需求指标在英国退伍军人样本上成功验证.
- 研究样本中的大多数退伍军人表现出1或以下的复杂度得分.
- 主要组件分析有效地模拟了各种退伍军人需求之间的相互作用.
结论:
- 该研究提出了一种有效的方法来评估退伍军人需求的复杂性.
- 这一指标可以识别具有更高不良健康结果风险的退伍军人.
- 该工具可以帮助决策者有效地对退伍军人群体进行风险分层和资源分配.
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