Department of Physical Therapy and Rehabilitation Science, Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Division of Biostatistics, Department of Population Health, New York University Grossman School of Medicine, New York, New York, USA.
J Am Geriatr Soc. 2023 Mar;71(3):711-719. doi: 10.1111/jgs.17990. Epub 2022 Aug 8.
Low nursing home staffing in the United States is a growing safety concern. Socioeconomic deprivation in the local areas surrounding a nursing home may be a barrier to improving staffing rates but has been poorly studied. Thus, the objective of this paper was to assess the relationship between neighborhood deprivation and nursing home staffing in the United States.
This cross-sectional study used 2018 daily payroll-based staffing records and address data for 12,609 nursing homes in the United States linked with resident assessment data. Our primary exposure of interest was severe economic deprivation at the census block group (neighborhood) level, defined as an area deprivation index score ≥85/100. The primary outcome was hours worked per resident-day among nursing home employees providing direct resident care. Marginal linear regression models and generalized estimating equations with robust sandwich-type standard errors were used to estimate associations between severe neighborhood deprivation and staffing rates.
Compared to less deprived neighborhoods, unadjusted staffing rates in facilities located within severely deprived neighborhoods were 38% lower for physical and occupational therapists, 30% lower for registered nurses (RNs), and 5% lower for certified nursing assistants. No disparities in licensed practical nurse (LPN) staffing were observed. In models with state-level and rurality fixed effects and clustered on the county, a similar pattern of disparities was observed. Specifically, RN staffing per 100 resident-days was significantly lower in facilities located within severely deprived neighborhoods as compared to those in less deprived areas (mean difference: 5.6 fewer hours, 95% confidence interval [CI] 4.2-6.9). Disparities of lower magnitude were observed for other clinical disciplines except for LPNs.
Significant staffing disparities were observed within facilities located in severely deprived neighborhoods. Targeted interventions, including workforce recruitment and retention efforts, may be needed to improve staffing levels for nursing homes in deprived neighborhoods.
美国养老院人手不足是一个日益严重的安全问题。养老院所在的当地社区的社会经济贫困可能是提高人员配备率的障碍,但这一问题研究甚少。因此,本文的目的是评估美国社区贫困程度与养老院人员配备之间的关系。
本横断面研究使用了 2018 年美国 12609 家养老院的基于每日工资单的人员配备记录和地址数据,并与居民评估数据进行了关联。我们主要关注的暴露因素是人口普查街区组(社区)层面的严重经济贫困,定义为区域剥夺指数得分≥85/100。主要结果是为直接照顾居民的养老院员工每居民日工作的小时数。使用边缘线性回归模型和广义估计方程(稳健沙盒型标准误差)来估计严重社区贫困与人员配备率之间的关联。
与贫困程度较低的社区相比,位于严重贫困社区的机构中,未经调整的人员配备率分别为物理治疗师和职业治疗师低 38%,注册护士(RN)低 30%,注册护士助理低 5%。没有观察到持照实习护士(LPN)人员配备方面的差异。在具有州级和农村固定效应且按县聚类的模型中,观察到类似的差异模式。具体而言,与贫困程度较低的地区相比,位于严重贫困社区的机构中每 100 名居民日的 RN 人员配备显著减少(平均差异:5.6 小时,95%置信区间[CI]:4.2-6.9)。其他临床学科的差异幅度较小,除 LPN 外。
在位于严重贫困社区的机构内观察到显著的人员配备差异。可能需要针对贫困社区的养老院开展劳动力招聘和保留工作等有针对性的干预措施,以提高人员配备水平。