将您的大型健康数据集与区域贫困指数联系起来,以ezADI的方式
Sunnie Reagan1, Drew Prescott2, Xueyuan Cao2
1College of Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA.
Research in nursing & health
|March 19, 2025
概括
健康的社会决定因素 (SDOH) 影响健康结果. ezADI R软件包简化了将患者数据与邻里处于不利地位 (区域贫困指数) 的联系,揭示了在状细胞病患者中增加医院使用的关联.
科学领域:
- 公共卫生 公共卫生
- 医疗信息学 医疗信息学
- 社会流行病学 社会流行病学
背景情况:
- 健康的社会决定因素 (SDOH) 显著影响健康结果,但在临床数据中经常缺失.
- 将健康记录与SDOH数据 (如区域贫困指数 (ADI)) 联系起来至关重要,但由于复杂的地理计算而具有挑战性.
- ezADI R包旨在简化将SDOH信息整合到健康研究中的过程.
研究的目的:
- 引入和评估ezADI R包,以有效地将患者地址与ADI得分联系起来.
- 评估邻居不利 (ADI) 与状细胞病 (SCD) 患者的健康结果之间的关联.
主要方法:
- 使用ezADI R包将患者地址进行地理编码,生成联邦信息处理系列 (FIPS) 代码,并分配ADI分数.
- 该工具的可行性在田纳西州1,105名SCD患者的数据集上进行了测试.
- 进行了统计分析,包括相关性,以检查ADI得分与医院利用指标之间的关系.
主要成果:
- 较高的区域剥夺指数 (ADI) 得分与状细胞疾病 (SCD) 患者的医院利用率增加 (rho=0.093,p=0.002) 有关.
- 在SCD队列中,邻里处境的劣势也与更长的住院时间 (rho=0.069,p=0.021) 有关.
- ezADI工具成功地简化了地理编码和数据链接过程.
结论:
- ezADI R包有效地减少了地理计算的负担,促进了SDOH和健康结果的研究.
- 研究结果强调了邻居处境不利对SCD患者医院利用率的重大影响.
- 针对弱势地区的有针对性的干预措施可能会改善健康结果,并减少弱势群体对医疗保健的使用.
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