你的产前护理提供者是谁? 一个算法来识别主导的产前护理提供者与索赔数据的索赔数据
Songyuan Deng1, Samantha Renaud2, Kevin J Bennett2
1University of South Carolina School of Medicine, Columbia, SC, USA. songyuan@email.sc.edu.
BMC health services research
|May 27, 2024
概括
使用产前护理访问频率和序列的新算法确定了92%的怀孕中占主导地位的提供者,改进了以前的方法. 这项分析还显示,与最近的选项相比,主要提供商的旅行距离更长.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 孕产妇健康 孕产妇健康
- 获得医疗保健 获得医疗保健 获得医疗保健
背景情况:
- 从索赔数据中确定一个占主导地位的产前护理 (PNC) 提供者对于评估医疗保健获取,成本和结果至关重要.
- 使用多元或多数方法的现有算法缺乏访问序列信息,这限制了它们识别主要PNC提供者的准确性.
- 准确识别占主导地位的PNC提供者对于全面的医疗保健分析和政策制定至关重要.
研究的目的:
- 开发和验证一个结合PNC访问频率和序列的算法,以确定主要提供商.
- 估计使用新算法可以识别主要提供者的怀孕百分比.
- 为了比较到确定的主导提供商的旅行距离与最近的提供商.
主要方法:
- 利用南卡罗来纳州2015-2018年的医疗补助索赔数据,重点关注32,609例持续注册和PNC访问的怀孕.
- 开发了一种新的算法,根据访问频率和序列对PNC提供商进行分类,创建了七个不同的提供商子组.
- 采用千平方和对对的t测试来评估占主导地位的提供商识别率,并比较旅行距离.
主要成果:
- 精细的算法确定了92%的怀孕的主要提供者,从仅使用频率的81%显著增加.
- 不到30%的怀孕只有一个单独的PNC提供者.
- 到达确定的主要提供商的旅行距离平均比到达最近的提供商要长5英里.
结论:
- 将顺序信息纳入算法,提高了占主导地位的PNC提供商的识别率11%.
- 这项研究强调,怀孕的女性往往会前往更远的医院,从而影响到可访问性评估.
- 这种增强的算法提供了一种更准确的方法来识别大型索赔数据集中占主导地位的PNC提供商.
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