North Carolina Rural Health Research Program, Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Department of Health Policy and Management, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
J Rural Health. 2021 Mar;37(2):347-352. doi: 10.1111/jrh.12553. Epub 2020 Dec 31.
To investigate (1) all-payer inpatient volume changes at rural hospitals and (2) whether trends in inpatient volume differ by organizational and geographic characteristics of the hospital and characteristics of the patient population.
We used a retrospective, longitudinal study design. Our study sample consisted of rural hospitals between 2011 and 2017. Inpatient volume was measured as inpatient average daily census (ADC). Additional measured hospital characteristics included census region, Medicare payment type, ownership type, number of beds, local competition, total margin, and whether the hospital was located in a Medicaid expansion state. Measured characteristics of the local patient population included total population size, percent of population aged 65 years or older, and percent of population in poverty. To identify predictors of inpatient volume trends, we fit a linear multiple regression model using generalized estimating equations.
Rural hospitals experienced an average change in ADC of -13% between 2011 and 2017. We found that hospital characteristics (eg, census region, Medicare payment type, ownership type, total margin, whether the hospital was located in a Medicaid expansion state) and patient population characteristics (eg, percent of population in poverty) were significant predictors of inpatient volume trends.
Trends in inpatient volume differ by organizational and geographic characteristics of the hospital and characteristics of the patient population. Researchers and policy makers should continue to explore the causal mechanisms of inpatient volume decline and its role in the financial viability of rural hospitals.
调查(1)农村医院的全付费住院患者量变化,以及(2)住院患者量的趋势是否因医院的组织和地理特征以及患者人群特征而有所不同。
我们使用回顾性、纵向研究设计。我们的研究样本包括 2011 年至 2017 年期间的农村医院。住院患者量以住院平均日普查(ADC)衡量。其他测量的医院特征包括普查区域、医疗保险支付类型、所有权类型、床位数、当地竞争、总利润率以及医院是否位于医疗补助扩展州。测量的当地患者人群特征包括总人口规模、65 岁及以上人口比例以及贫困人口比例。为了确定住院患者量趋势的预测因素,我们使用广义估计方程拟合了线性多元回归模型。
农村医院在 2011 年至 2017 年间的 ADC 平均变化为-13%。我们发现,医院特征(例如普查区域、医疗保险支付类型、所有权类型、总利润率、医院是否位于医疗补助扩展州)和患者人群特征(例如贫困人口比例)是住院患者量趋势的重要预测因素。
住院患者量的趋势因医院的组织和地理特征以及患者人群特征而有所不同。研究人员和政策制定者应继续探索住院患者量下降的因果机制及其在农村医院财务可行性中的作用。