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Precision of provider licensure data for mapping member accessibility to Medicaid managed care provider networks

机译:提供商的精确度授权数据,用于将成员可访问性映射到医疗保险管理提供商网络

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Abstract Background In July 2018, the Centers for Medicare and Medicaid Services (CMS) updated its Medicaid Managed Care (MMC) regulations that govern network and access standards for enrollees. There have been few published studies of whether there is accurate geographic information on primary care providers to monitor network adequacy. Methods We analyzed a sample of nurse practitioner (NP) and physician address data registered in the state labor, licensing, and regulation (LLR) boards and the National Provider Index (NPI) using employment location data contained in the patient-centered medical home (PCMH) data file. Our main outcome measures were address discordance (%) at the clinic-level, city, ZIP code, and county spatial extent and the distance, in miles, between employment location and the LLR/NPI address on file. Results Based on LLR records, address information provided by NPs corresponded to their place of employment in 5% of all cases. NP address information registered in the NPI corresponded to their place of employment in 64% of all cases. Among physicians, the address information provided in the LLR and NPI corresponded to the place of employment in 64 and 72% of all instances. For NPs, the average distance between the PCMH and the LLR address was 21.5 miles. Using the NPI, the distance decreased to 7.4 miles. For physicians, the average distance between the PCMH and the LLR and NPI addresses was 7.2 and 4.3 miles. Conclusions Publicly available data to forecast state-wide distributions of the NP workforce for MMC members may not be reliable if done using state licensure board data. Meaningful improvements to correspond with MMC policy changes require collecting and releasing information on place of employment.
机译:抽象背景于2018年7月,Medicare和医疗补助服务(CMS)的中心更新了其医疗补助管理护理(MMC)条例,该法规管理网络和获取登记标准。关于初级保健提供商是否有准确的地理信息,甚至有很少的研究,以监测网络充足性。方法通过患者中心医疗房屋(PROSE)的医疗房屋(PROSE)分析了在国家劳工,许可和法规(LLR)委员会和国家提供者指数(NPI)中注册的护士从业者(NP)和医生地址数据的样本( PCMH)数据文件。我们的主要结果措施是在诊所级,城市,邮政编码和县空间范围内的不一致(%)以及在就业地点和档案上的LLR / NPI地址之间的距离。结果基于LLR记录,NPS提供的地址信息与所有案件的5%的雇佣地点相对应。 NP地址在NPI中登记的信息与所有案件的64%的雇佣地点相对应。在医生中,LLR和NPI中提供的地址信息与所有情况的64和72%的就业地点相对应。对于NPS,PCMH和LLR地址之间的平均距离为21.5英里。使用NPI,距离降至7.4英里。对于医生来说,PCMH和LLR和NPI地址之间的平均距离为7.2和4.3英里。结论如果使用国家许可板数据完成,则公开可用的数据预测MMC成员的NP劳动力的全能分布可能不可靠。与MMC策略变更对应的有意义的改进需要收集和释放就业地点的信息。

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