大数据研究使用健康保险索赔来预测多学科低视力服务的采用率
概括
患者的特点显著影响到多学科低视力服务 (MLVS) 的获取. 社会经济地位,年龄和服务距离是影响视力障碍者接受MLVS的关键因素.
科学领域:
- 眼科和公共卫生.
- 医疗保健服务研究 医疗服务研究
背景情况:
- 在高收入国家,对低视力服务 (LVS) 获取障碍和促进者的研究有限.
- 很少有研究利用健康声明数据来分析LVS供应.
研究的目的:
- 确定预测荷兰接受多学科低视力服务 (MLVS) 的患者特征.
- 为本次调查利用国家医疗保健索赔数据.
主要方法:
- 分析荷兰国家医疗保险索赔数据 (2015-2018) 对于患有眼病的患者.
- 包括接受MLVS (n=8766) 和/或眼科治疗 (n=565,496) 的患者.
- 多变量后勤回归用于评估社会人口统计学,临床和上下文预测因素,通过引导验证.
主要成果:
- 对MLVS的积极预测因素包括低视力辅助处方,多种眼科诊断,职业治疗,精神/听力并发症和多种治疗地点.
- 负面预测因素包括年龄较大,社会经济地位较低,身体并发症和距离MLVS较远.
- 预测模型实现了曲线下的面积为0.75.
结论:
- 社会人口统计学,临床和医疗保健利用因素影响MLVS访问.
- 眼科医生应该考虑社会经济地位和年龄,当转诊患者MLVS.
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