Department of Healthcare Administration & Informatics, 1744Samford University, Birmingham, AL, USA.
Department of Health Service Administration, 9968The University of Alabama at Birmingham, Birmingham, AL, USA.
Inquiry. 2022 Jan-Dec;59:469580221100166. doi: 10.1177/00469580221100166.
While nurse staffing shortage is generally true, it is not universal, and it remains unclear the degree to which variation in local staffing markets might influence the relationship between nurse staffing and care quality. This study seeks to determine the effect of nurse staffing markets on the quality of hospital care delivered in U.S. hospitals by examining the relationship between the proximal density of nurse staffing resources to hospitals and patient-reported care quality outcomes. This examination analyzes hospital performance on (Hospital Consumer Assessment of Healthcare Providers and Systems) based on the proximal density of nursing schools. The analysis combines data from Centers for Medicare and Medicaid Services (CMS) (N = 2959) and U.S. nursing school locations from the American Association of Colleges of Nursing (N = 811) via a series of binary logistic regressions to determine whether local nurse staffing availability is related to hospital's attainment of either low or high star quality ratings. A sensitivity analysis is also offered to determine the association with 1, 3, and 5-star ratings. The findings suggest that the odds of receiving both a low-star rating and a high-star rating of performance increase as proximal density increases while the odds of receiving a 3-star rating decrease. Hospitals are able to achieve the highest levels of performance as high performing hospitals in high-density markets seem to be taking advantage of resource availability to establish close, strong ties with nurse staffing resources as opposed to viewing nurses as an easily replaceable resource.
虽然护士人员短缺普遍存在,但并非普遍存在,而且尚不清楚当地人员配置市场的变化在多大程度上可能影响护士人员配置与护理质量之间的关系。本研究通过考察护士人员配置资源与医院之间的接近密度与患者报告的护理质量结果之间的关系,旨在确定护士人员配置市场对美国医院提供的医院护理质量的影响。这项检查根据护理学校的接近密度分析了基于(医院消费者评估医疗保健提供者和系统)的医院绩效。该分析通过一系列二元逻辑回归将来自医疗保险和医疗补助服务中心(CMS)的数据(N = 2959)与美国护理学校的位置相结合,来自美国护理学院协会(N = 811),以确定当地护士人员配置的可用性是否与医院获得低或高星级质量评级相关。还提供了一项敏感性分析,以确定与 1、3 和 5 星级评级的关联。研究结果表明,随着接近密度的增加,获得低星级和高星级绩效的几率增加,而获得 3 星级绩效的几率降低。由于高绩效医院似乎在高密度市场中利用资源的可用性与护士人员配置资源建立密切、强大的联系,而不是将护士视为易于替代的资源,因此医院能够实现最高水平的绩效。