社会联系和公共医疗保健利用

S. Debnath, Tarun Jain
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引用次数: 2

摘要

当医院面临高度可变的病人流量,但专科治疗的巨大和不可替代的成本时,公共医疗保健管理人员如何预测三级医疗保健的利用?利用来自印度公共健康保险计划的行政索赔数据表明,社会关系的利用与首次利用率增加26%有关。与基线模型相比,社会关系模型的均方根误差降低了11.25%。社会关系可以预测在私人医疗机构而不是公共医疗机构的治疗,但不能预测在专业医疗机构的治疗。增强的模型预测,当治疗不足的成本严重时,最佳医疗保健提供的水平会更高。
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Social Connections and Public Healthcare Utilization
How can public healthcare administrators predict tertiary healthcare utilization when hospitals face highly variable patient flows but large and infungible costs of specialty treatment? Using administrative claims data from a public health insurance program in India shows that utilization by social connections is associated with 26% increase in first-time utilization. The social connections model decreases root mean squared error by 11.25% compared to a baseline model. Social connections predict treatment in private rather than public facilities, but not in specialty use. The enhanced model predicts higher levels of optimum healthcare provision when the costs of undertreatment are severe.
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