在商业保险成年人使用数字健康应用程序中,社会经济贫困和健康日之间的关系:一项观察性研究
Jaclyn Marshall1, Oliver-John M Bright1, Nicholas Leiby1
1Included Health, San Francisco, California, USA.
Population health management
|January 31, 2025
概括
你住的地方会影响你的健康. 这项研究发现,社会经济贫困程度较高的地区的个人报告了更多不健康的日子,突出了针对性数字健康服务的需要.
科学领域:
- 人口健康 人口健康
- 医疗保健服务研究 医疗服务研究
- 数字健康数字健康
背景情况:
- 地理位置与健康结果和生活质量有显著的相关性.
- 社会经济因素影响健康差异.
- 人们越来越多地使用虚拟护理和导航服务.
研究的目的:
- 检查邮政编码社会经济贫困指数 (SDI) 和自我报告的健康日之间的关联.
- 评估使用数字健康服务的商业保险成年人之间的这种关系.
- 确定可能受益于有针对性的卫生干预措施的人口.
主要方法:
- 通过短信从使用包括健康服务的会员收集的调查数据 (2023年5月至2024年5月).
- 利用疾病控制和预防中心的健康日问题来衡量身体,精神和总体不健康的日子.
- 基于邮政编码SDI四分位数的频繁不健康的日子计算的赔率比率,调整为人口统计学.
主要成果:
- 13.7%的人报告经常有身体不健康的日子,20.8%的人经常有精神不健康的日子,29.2%的人经常有总体不健康的日子.
- 与SDI四分之一最高的成员相比,SDI四分之一最低的成员报告频繁不健康的日子的可能性是SDI四分之一的1.2倍 (P=0.047).
- 地理指数有效地识别了对数字卫生服务需求可能更高的成员.
结论:
- 邮政编码社会经济贫困是自我报告的不健康日子的重要预测因素.
- 地理数据可以指导雇主识别需要增强数字健康支持的会员.
- 收集生活质量指标对于积极的健康干预是可行的.
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