随着时间的推移,美国的移民集中和心理健康服务利用之间的关联:一个地理空间大数据分析
Fengrui Jing1, Zhenlong Li1, Shan Qiao2
1Geoinformation and Big Data Research Lab, Department of Geography, University of South Carolina, Columbia, SC, 29208, USA; Big Data Health Science Center, University of South Carolina, Columbia, SC, 29208, USA.
Health & place
|June 13, 2023
概括
移民心理健康服务的使用在空间和时间上有所不同,在拉丁美洲移民度较高的地区使用率较低. 亚洲和欧洲移民群体在疫情期间出现了较大的下降,拉丁美洲群体的复苏速度较慢.
科学领域:
- 公共卫生 公共卫生
- 医疗保健服务研究 医疗服务研究
- 地理空间数据科学数据科学
背景情况:
- 移民的心理健康服务利用率往往低于美国出生人口.
- 现有的研究缺乏在移民社区内心理健康服务差异的全国性时间分析.
研究的目的:
- 调查美国各地移民人口中心理健康服务利用的空间和时间差异.
- 检查COVID-19大流行之前和期间移民集中和心理健康服务获取之间的关联.
主要方法:
- 利用了基于手机的访问数据,用于连续的美国人口普查区域 (2019-2021).
- 计算精神卫生服务访问和访问与需求的比率 (每位抑郁症诊断的访问).
- 采用混合效应线性回归模型,考虑空间效应,时间和共变量.
主要成果:
- 在移民集中群中观察到心理健康服务利用的空间和时间差异很大.
- 拉丁美洲移民度较高的地区使用率较低,特别是在美国西部.
- 亚洲和欧洲移民群体在2019-2020年使用率下降得更快;拉丁美洲群体在2021年表现最慢的复苏.
结论:
- 地理空间大数据为推进心理健康研究提供了潜力.
- 调查结果为有针对性的公共卫生干预提供了信息,以解决移民心理健康差异.
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