提高区域中心服务的吸收率:使用程序数据识别不足利用和不利用的预测因素
Robin L Dodds1, Soma Roy1, Hilary Wu1
1Robin L. Dodds, California State University, Los Angeles; Soma Roy, California Polytechnic University, San Luis Obisbo; Hilary Wu, UCLA; Amanda Belden and Cameron Hafer, California Polytechnic University, San Luis Obisbo; and Christina Toapanta, California State University, Los Angeles.
加利福尼亚州加利福尼亚州加利福尼亚州.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 健康差异 在健康上的差异
- 残疾人服务研究 研究 研究
背景情况:
- 加利福尼亚州的区域中心系统历来在服务支出方面面临种族/民族差异.
- 尽管消除了这些差异,但该系统仍在与服务的不足和不充分利用作斗争.
- 了解客户端特征对于改善服务访问和利用至关重要.
研究的目的:
- 确定区域中心客户中服务基金利用率的预测因素.
- 检查影响客户使用任何分配资金的几率的因素.
- 为加强服务获取和公平资源分配的战略提供信息.
主要方法:
- 使用回归模型来分析客户端特征.
- 调查的总支出金额的预测因素.
- 检查了使用任何分配资金的几率的预测因素.
主要成果:
- 男性客户,3岁以下,非英语使用者和护理机构居民使用的资金较少.
- 学校年龄的客户使用他们分配的任何资金的几率较低.
- 特定的人口和居住因素与服务利用率的减少有关.
结论:
- 建议在住宅环境中使用护理协调模型,以提高利用率.
- 建议加强对家庭的培训,并招聘文化经纪人.
- 需要有针对性的干预措施来解决特定客户群体的不足利用问题.
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