Average Length of Stay, Average Preventable Readmission Rates, and Average Total Cost of Care: Is there a Relationship?

David Augustine Bull
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Abstract

Average Length of Stay (ALOS), Average Preventable Readmission Rates (APRRs), and Average Total Cost of Care (ATCc) were examined to see if any relationship exists among the variables. Secondary data from the Texas Hospital data collection database was used for the study. Out of 379 acute care hospitals in Texas, 65 hospitals were selected for analysis using a G*Power analysis. Demographic analysis, Spearman’s Rank correlation, and Regression Analyses were conducted to explore the relationship. The results of the Spearman’s Rho correlation showed a significant negative relationship between ALOS and ATCc [ALOS – ATCc (rs = - .271, p = .016)], and for APRRs and ATCc, there was no statistically significant relationship [APRRs – ATCc (rs = .065, p = .564)]. The multiple regression analysis showed there was no statistically significant relationship between the variables [ALOS – ARRs – ATCc (F (2,62) = 1.584, p = .211)]. The results showed that ALOS and APRRs do not necessarily predict ATCc. Consequently, based on the study results ATCc is not solely determined by ALOS and APRRs. The absence of a significant relationship between ALOS, APRRs, and ATCc does not necessarily indicate inefficiency in practice or lack of effectiveness. The results showed that there are other mediating factors impacting care that were not assessed in the study that need to be examined carefully which may have implications for practice, research, and methodology. Future research should be considered to determine these moderating factors to better understand the complex relationship between ALOS, APRRs, and ATCc. An understanding of these complex dynamics may inform managerial strategies and help with critical clinical and fiscal decisions in a healthcare setting. Keywords: Average Length of Stay, Average Preventable Readmission Rates, Average Total Cost of care
平均住院时间、平均可预防再入院率和平均护理总成本:三者之间有关系吗?
研究人员对平均住院时间(ALOS)、平均可预防再入院率(APRR)和平均护理总成本(ATCc)进行了检查,以了解这些变量之间是否存在任何关系。研究使用了得克萨斯州医院数据收集数据库中的二手数据。在德克萨斯州的 379 家急症护理医院中,使用 G*Power 分析法选取了 65 家医院进行分析。研究人员进行了人口统计学分析、斯皮尔曼等级相关分析和回归分析,以探究两者之间的关系。Spearman's Rho 相关性结果显示,ALOS 与 ATCc 之间存在显著的负相关关系 [ALOS - ATCc (rs = - .271, p = .016)],而 APRR 与 ATCc 之间则没有显著的统计学关系 [APRRs - ATCc (rs = .065, p = .564)]。多元回归分析表明,各变量之间的关系无统计学意义[ALOS - ARRs - ATCc (F (2,62) = 1.584, p = .211)]。结果表明,ALOS 和 APRR 不一定能预测 ATCc。因此,根据研究结果,ATCc 并不完全由 ALOS 和 APRR 决定。ALOS、APRRs 和 ATCc 之间没有明显关系并不一定表明实践效率低下或缺乏有效性。研究结果表明,还有其他一些影响护理的中介因素没有在研究中进行评估,需要仔细研究,这可能会对实践、研究和方法论产生影响。未来的研究应考虑确定这些调节因素,以更好地理解 ALOS、APRR 和 ATCc 之间的复杂关系。了解这些复杂的动态关系可为管理策略提供信息,并有助于医疗机构做出关键的临床和财务决策。关键词平均住院时间、平均可预防再入院率、平均护理总成本
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