Zhu Ye, Stearns Sally C, Holmes George M
Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota, USA.
Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.
J Eval Clin Pract. 2022 Aug;28(4):569-580. doi: 10.1111/jep.13647. Epub 2021 Dec 23.
To assess and compare the associations between socioeconomic status (SES) measures from two sources (claims vs. survey data) and the type of post-acute care (PAC) locations following hospital discharge.
This observational study included Medicare Fee-for-Service (FFS) beneficiaries age 65.5 years or older who participated in the Medicare Current Beneficiary Survey (MCBS) and were hospitalized in 2006-2011. Multiple data sets were used including: Area Deprivation Index; Medicare Cost Reports, Provider of Services files, and Area Health Resource File. Multinomial regression models estimated associations between beneficiary's SES and PAC type. SES measures came from surveys (income and education) and administrative records (dual enrollment and area deprivation). PAC types included home with self-care, home health agency, skilled nursing facility (SNF), or inpatient rehabilitation facility.
Low income and dual enrollment were associated with higher SNF use while living in a deprived area was associated with lower SNF use and higher use of home with self-care. Dual enrollment and area deprivation were associated with the largest differences.
If policies to modify payment based on SES are considered, administrative measures (dual enrollment and area deprivation) rather than survey measures (education and income) may be sufficient.
评估并比较来自两个来源(索赔数据与调查数据)的社会经济地位(SES)衡量指标与出院后急性后期护理(PAC)地点类型之间的关联。
这项观察性研究纳入了年龄在65.5岁及以上、参加了医疗保险当前受益人调查(MCBS)且在2006 - 2011年期间住院的医疗保险按服务收费(FFS)受益人。使用了多个数据集,包括:地区贫困指数;医疗保险成本报告、服务提供者文件和地区卫生资源文件。多项回归模型估计了受益人的SES与PAC类型之间的关联。SES衡量指标来自调查(收入和教育)以及行政记录(双重参保和地区贫困)。PAC类型包括自理型居家护理、家庭健康机构、熟练护理设施(SNF)或住院康复设施。
低收入和双重参保与较高的SNF使用率相关,而生活在贫困地区与较低的SNF使用率以及较高的自理型居家护理使用率相关。双重参保和地区贫困与最大差异相关。
如果考虑基于SES修改支付的政策,行政措施(双重参保和地区贫困)而非调查措施(教育和收入)可能就足够了。