影响睡眠中心不出现率的因素 医院出院后使用地理空间编码在阿巴拉契亚州
Sunil Sharma1, Robert Stansbury1,2, Edward Rojas1
1Division of Pulmonary, Critical Care, and Sleep Medicine, West Virginia University, Morgantown, West Virginia.
概括
患者的健康素养和社区因素显著影响医院出院后的睡眠研究没有显示率. 改善患者教育和了解地理影响是提高睡眠呼吸障碍诊断的关键.
科学领域:
- 睡眠医学 睡眠医学
- 公共卫生 公共卫生
- 地理空间分析的研究.
背景情况:
- 在住院患者中,早期对睡眠呼吸障碍 (SDB) 的查可以减少再入院.
- 出院后的多睡眠学术对于确认SDB诊断至关重要.
- 地理空间分析可以识别导致失眠研究的因素.
研究的目的:
- 分析患者层面和社区层面的因素,这些因素影响了医院出院后的多睡眠仪无症状率.
- 利用地理空间技术来了解遵守睡眠研究预约的地理分布.
- 确定可修改的因素,以改善患者遵守出院后的诊断程序.
主要方法:
- 对1318名入院患者的回顾性分析,这些患者被转介进行睡眠研究 (2019年9月至2023年9月).
- 后勤回归和地理加权后勤回归被用来评估遵守的预测因素.
- 预测因素包括患者人口统计,健康素养,社区社会经济状况 (困境社区指数) 和距离睡眠中心的距离.
主要成果:
- 在1,318名患者中,观察到1,130名患者的显著无症状率.
- 与坚持相关的患者级因素包括健康素养 (AOR=1.06),年龄 (AOR=0.99) 和驾驶时间 (AOR=0.95).
- 地理空间分析揭示了依附概率和相关社区因素的地理差异.
结论:
- 无论是患者的个体特征还是患者的社区环境都会影响多睡眠术的不显示率.
- 健康素养是一个关键的,可修改的患者水平的依从性预测指标.
- 需要有针对性的干预措施,解决患者教育和地理差异,以改善对SDB诊断协议的遵守.
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