Division of Population Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, United States.
National Center for Primary Care and Department of Family Medicine, Morehouse School of Medicine, United States.
Health Place. 2019 Mar;56:165-173. doi: 10.1016/j.healthplace.2019.01.017. Epub 2019 Feb 16.
A spatially adaptive floating catchment is a circular area that expands outward from a provider location until the estimated demand for services in the nearest population locations exceeds the observed number of health care services performed at the provider location. This new way of creating floating catchments was developed to address the change of spatial support problem (COSP) by upscaling the availability of the service observed at a provider location to the county-level so that its geographic association with utilization could be measured using the same spatial support. Medicare Fee-for-Service claims data were used to identify beneficiaries aged ≥ 65 years who received outpatient pulmonary rehabilitation (PR) in the Southeastern United States in 2014 (n = 8798), the number of PR treatments these beneficiaries received (n = 132,508), and the PR providers they chose (n = 426). The positive correlation between PR availability and utilization was relatively low, but statistically significant (r = 0.619, p < 0.001) indicating that most people use the nearest available PR services, but some travel long distances. SAFCs can be created using data from health care systems that collect claim-level utilization data that identifies the locations of providers chosen by beneficiaries of a specific health care procedure.
一个空间自适应浮动捕获区是一个从提供者位置向外扩展的圆形区域,直到最近的人群位置的服务需求估计超过在提供者位置执行的医疗保健服务的实际数量。这种创建浮动捕获区的新方法是为了解决空间支持问题变化(COSP)而开发的,通过将在提供者位置观察到的服务的可用性扩展到县级,以便可以使用相同的空间支持来衡量其与利用的地理关联。使用医疗保险按服务收费数据来确定 2014 年在美国东南部接受门诊肺康复(PR)治疗的年龄≥65 岁的受益人(n=8798),这些受益人接受的 PR 治疗次数(n=132508)以及他们选择的 PR 提供者(n=426)。PR 可用性和利用率之间的正相关性虽然相对较低,但具有统计学意义(r=0.619,p<0.001),这表明大多数人使用最近的可用 PR 服务,但有些人则长途跋涉。可以使用收集索赔级利用率数据的医疗保健系统的数据来创建 SAFC,这些数据可以识别特定医疗程序受益人的提供者选择的位置。