Department of Health Law, Policy, & Management, Boston University School of Public Health, Boston, Massachusetts.
Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, Rhode Island.
Am J Prev Med. 2022 May;62(5):670-678. doi: 10.1016/j.amepre.2021.11.008. Epub 2022 Feb 8.
Federally Qualified Health Centers serve 29.8 million low-income patients across the U.S., many of whom have unaddressed social risks. In 2019, for the first time, data on social risk screening capabilities were collected from every U.S. Federally Qualified Health Center. The objectives of this study were to describe the national rates of social risk screening capabilities across Federally Qualified Health Centers, identify organizational predictors of screening, and assess between-state heterogeneity.
Using a 100% sample of U.S. Federally Qualified Health Centers (N=1,384, representing 29.8 million patients) from the 2019 Uniform Data System, the primary outcome was whether a Federally Qualified Health Center collected data on patients' social risk factors (yes/no). Summary statistics on the rates of social risk screening capabilities were generated in aggregate and by state. Linear probability models were then used to estimate the relationship between the probability of social risk screening and 7 key Federally Qualified Health Center characteristics (e.g., Federally Qualified Health Center size, Medicaid MCO contract, Medicaid accountable care organization presence). Data were analyzed in 2020‒2021.
Most (71%) Federally Qualified Health Centers collected social risk data, with a between-state variation. The most common screener was the Protocol for Responding to and Assessing Patients' Assets Risks and Experiences (43% of Federally Qualified Health Centers that screened), whereas 22% collected social risk data using a nonstandardized screener. After adjusting for other characteristics, Federally Qualified Health Centers with social risk screening capabilities served more total patients, were more likely to be located in a state with a Medicaid accountable care organization, and were less likely to have an MCO contract.
There has been widespread adoption of social risk screening tools across U.S. Federally Qualified Health Centers, but between-state disparities exist. Targeting social risk screening resources to smaller Federally Qualified Health Centers may increase the adoption of screening tools.
全美有 2980 万低收入患者在联邦合格医疗中心接受服务,其中许多人存在未得到解决的社会风险。2019 年,首次从美国每个联邦合格医疗中心收集社会风险筛查能力数据。本研究的目的是描述全美联邦合格医疗中心的社会风险筛查能力的全国率,确定筛查的组织预测因素,并评估州际间的异质性。
使用 2019 年统一数据系统中全美联邦合格医疗中心(N=1384 家,代表 2980 万患者)的 100%样本,主要结果是联邦合格医疗中心是否收集患者社会风险因素的数据(是/否)。汇总和按州生成社会风险筛查能力率的统计摘要。然后,使用线性概率模型估计社会风险筛查的概率与 7 个关键联邦合格医疗中心特征(例如,联邦合格医疗中心规模、医疗补助管理式医疗组织合同、医疗补助责任医疗组织存在)之间的关系。数据分析于 2020 年至 2021 年进行。
大多数(71%)联邦合格医疗中心收集社会风险数据,各州之间存在差异。最常用的筛查工具是《回应和评估患者资产风险和经验的方案》(43%的筛查联邦合格医疗中心),而 22%的联邦合格医疗中心使用非标准化的筛查工具收集社会风险数据。在调整其他特征后,具有社会风险筛查能力的联邦合格医疗中心服务的总患者更多,更有可能位于有医疗补助责任医疗组织的州,并且不太可能有医疗补助管理式医疗组织合同。
美国联邦合格医疗中心已广泛采用社会风险筛查工具,但各州之间存在差异。将社会风险筛查资源集中在较小的联邦合格医疗中心可能会增加筛查工具的采用。