School of Public Health, Ningxia Medical University, Yinchuan, China.
Department of Emergency Medicine, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China.
Front Public Health. 2022 Aug 12;10:881273. doi: 10.3389/fpubh.2022.881273. eCollection 2022.
Length of hospital stay (LOHS) is the main cost-determining factor of hospitalization for stroke patients. However, previous analyses involving LOHS did not consider confounding or indirect factors, or the effects of other factors on LOHS and inpatient costs.
To investigate the direct and indirect effects of LOHS on the hospitalization costs of inpatients with ischemic and hemorrhagic stroke.
This was a population-based, retrospective, and observational study that analyzed data acquired from the Nationwide Inpatient Sample between 2015 and 2020 relating to ischemic and hemorrhagic stroke in Ningxia, China.
Hospitalizations were identified by the International Classification of Diseases 10th Revision (ICD-10). Inpatient costs were described by the median M (P25, P75). We used a quantile regression model to estimate the linear relationships between a group of independent variables X and the quantile of the explained variable hospitalization cost (Y). A structural equation model (SEM) was then used to investigate the direct and indirect effects of LOHS on inpatient costs.
The study included 129,444 patients with ischemic stroke and 15,525 patients with hemorrhagic stroke. The median LOHS was 10 (8-13) days for ischemic stroke and 15 (10-22) days for hemorrhagic stroke. The median M (P, P) of inpatient costs was $1020 (742-1545) for ischemic stroke and 2813 (1576-6191) for hemorrhagic stroke. The total effect of LOHS on inpatient costs was 0.795 in patients with ischemic stroke. The effect of yearof discharge (X4) and CCI (X8) on inpatient costs was dominated by an indirect effect through the LOHS. The indirect effect was -0.071 (84.52% of the total effect value) and 0.034 (69.39% of the total effect value), respectively. The total effect of LOHS on inpatient costs in patients with hemorrhagic stroke was 0.754. The influence of CCI on inpatient costs was dominated by an indirect effect through LOHS; the indirect effect value was -0.028 (77.78% of the total effect value). The payment type, surgery, method of discharge, and hospital level also exerted an impact on inpatient costs by direct and indirect effects through the LOHS.
Length of hospital stay (LOHS) was identified as the main factor influencing hospitalization costs. However, other social factors were shown to indirectly influence hospitalization costs through the LOHS. Taking effective measures to further reduce hospitalization costs remains an effective way to control hospitalization costs for stroke patients.
住院时间(LOHS)是脑卒中患者住院费用的主要决定因素。然而,之前涉及 LOHS 的分析并未考虑混杂因素或间接因素,也未考虑其他因素对 LOHS 和住院费用的影响。
探讨 LOHS 对缺血性和出血性脑卒中住院患者住院费用的直接和间接影响。
设计、设置和参与者:这是一项基于人群的回顾性观察性研究,分析了 2015 年至 2020 年中国宁夏全国住院患者样本中与缺血性和出血性脑卒中相关的数据。
通过国际疾病分类第 10 版(ICD-10)确定住院情况。住院费用用中位数 M(P25,P75)描述。我们使用分位数回归模型来估计一组自变量 X 与解释变量住院费用(Y)分位数之间的线性关系。然后使用结构方程模型(SEM)来研究 LOHS 对住院费用的直接和间接影响。
研究纳入了 129444 例缺血性脑卒中患者和 15525 例出血性脑卒中患者。缺血性脑卒中的平均 LOHS 为 10(8-13)天,出血性脑卒中的平均 LOHS 为 15(10-22)天。缺血性脑卒中的住院费用中位数 M(P,P)为 1020(742-1545)美元,出血性脑卒中的住院费用中位数 M(P,P)为 2813(1576-6191)美元。LOHS 对住院费用的总效应为 0.795。出院年份(X4)和 CCI(X8)对住院费用的影响主要通过 LOHS 的间接效应。间接效应为-0.071(总效应值的 84.52%)和 0.034(总效应值的 69.39%)。出血性脑卒中患者 LOHS 对住院费用的总效应为 0.754。CCI 对住院费用的影响主要通过 LOHS 的间接效应。间接效应值为-0.028(总效应值的 77.78%)。支付类型、手术、出院方式和医院级别也通过 LOHS 对住院费用产生直接和间接影响。
住院时间(LOHS)被确定为影响住院费用的主要因素。然而,其他社会因素通过 LOHS 被证明会间接影响住院费用。采取有效措施进一步降低住院费用仍然是控制脑卒中患者住院费用的有效途径。