Holcomb Jennifer, Highfield Linda, Ferguson Gayla M, Morgan Robert O
Department of Management, Policy and Community Health, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Houston, TX, USA.
Sinai Urban Health Institute, Sinai Chicago, Chicago, IL, USA.
J Gen Intern Med. 2022 Nov;37(14):3692-3699. doi: 10.1007/s11606-022-07403-w. Epub 2022 Feb 7.
Integration of health-related social needs (HRSNs) data into clinical care is recognized as a driver for improving healthcare. However, few published studies on HRSNs and their impact are available. CMS sought to fill this gap through the Accountable Health Communities (AHC) Model, a national RCT of HRSN screening, referral, and navigation. Data from the AHC Model could significantly advance the field of HRSN screening and intervention in the USA.
To present data from the Greater Houston AHC (GH-AHC) Model site on HRSN frequency and the association between HRSNs, sociodemographic factors, and self-reported ED utilization using a cross-sectional design. Analyses included descriptive statistics and multinomial logistic regression.
PARTICIPANTS (OR PATIENTS OR SUBJECTS): All community-dwelling Medicare, Medicaid, or dually covered beneficiaries at participating GH-AHC clinical delivery sites were eligible.
Self-reported ED utilization in the previous 12 months served as the outcome; demographic characteristics including race, ethnicity, age, sex, income, education level, number of people living in the household, and insurance type were treated as covariates. HRSNs included food insecurity, housing instability, transportation, difficulty paying utility bills, and interpersonal safety. Clinical delivery site type was used as the clustering variable.
Food insecurity was the most common HRSN identified (38.7%) followed by housing instability (29.0%), transportation (28.0%), and difficulty paying utility bills (26.7%). Interpersonal safety was excluded due to low prevalence. More than half of the beneficiaries (56.9%) reported at least one of the four HRSNs. After controlling for covariates, having multiple co-occurring HRSNs was strongly associated with increased risk of two or more ED visits (OR 1.8-9.47 for two to four needs, respectively; p < 0.001). Beneficiaries with four needs were at almost 10 times higher risk of frequent ED utilization (p < 0.001).
To our knowledge, this is only the second published study to report screening data from the AHC Model. Future research focused on the impact of multiple co-occurring needs on health outcomes is warranted.
将与健康相关的社会需求(HRSNs)数据整合到临床护理中被认为是改善医疗保健的一个推动因素。然而,关于HRSNs及其影响的已发表研究很少。美国医疗保险和医疗补助服务中心(CMS)试图通过“责任健康社区(AHC)模式”来填补这一空白,这是一项关于HRSN筛查、转诊和导航的全国性随机对照试验(RCT)。AHC模式的数据可以显著推动美国HRSN筛查和干预领域的发展。
采用横断面设计,展示大休斯顿AHC(GH-AHC)模式站点关于HRSN频率以及HRSNs、社会人口学因素和自我报告的急诊就诊之间关联的数据。分析包括描述性统计和多项逻辑回归。
参与者(或患者或受试者):在参与的GH-AHC临床服务站点的所有社区居住的医疗保险、医疗补助或双重覆盖的受益人都符合条件。
将过去12个月内自我报告的急诊就诊情况作为结果;人口统计学特征包括种族、族裔、年龄、性别、收入、教育水平、家庭居住人数和保险类型作为协变量。HRSNs包括粮食不安全、住房不稳定、交通、支付水电费困难和人际安全。临床服务站点类型用作聚类变量。
粮食不安全是最常见的HRSN(38.7%),其次是住房不稳定(29.0%)、交通(28.0%)和支付水电费困难(26.7%)。由于患病率低,人际安全被排除在外。超过一半的受益人(56.9%)报告了四种HRSNs中的至少一种。在控制协变量后,同时存在多种HRSNs与两次或更多次急诊就诊风险增加密切相关(两种需求时的比值比为1.8,四种需求时为9.47;p<0.001)。有四种需求的受益人频繁急诊就诊的风险几乎高出10倍(p<0.001)。
据我们所知,这是第二篇发表的报告AHC模式筛查数据的研究。有必要开展未来研究,重点关注多种并发需求对健康结果的影响。