COVID-19 伊朗大流行病与医院效率:中断时间序列分析和 Pabon Lasso 模型的启示。

Monireh Mahmoodpour-Azari, Mohammad Hajizadeh, Ali Kazemi-Karyani, Afshar Haidari, Satar Rezaei
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背景:关于2019年冠状病毒病(COVID-19)大流行对全球医院效率影响的证据有限。本研究旨在调查 COVID-19 大流行对伊朗公立医院的影响:在这项准实验研究中,我们从伊朗克尔曼沙阿省克尔曼沙阿医科大学附属的所有 18 家公立医院的卫生信息系统中收集了 58 个月(COVID-19 在伊朗爆发前 36 个月和爆发后 22 个月)的月度数据,包括平均住院日(ALoS)、病床占用率(BOR)、病床周转率(BTR)和病床周转间隔(BTI)。我们使用间断时间序列分析和 Pabon Lasso 模型研究了 COVID-19 大流行对医院效率的影响:在 COVID-19 大流行之前(之后),每月平均 ALoS、BOR、BTR 和 BTI 分别为 3.30 (3.48) 天、70.14% (49.37)、6.78 (4.81) 人/床和 1.15 (2.88) 天。研究表明,在 COVID-19 大流行后的第一个月,ALoS 和 BOR 分别下降了 0.29 和 25.09,差异有统计学意义。与大流行前相比,我们观察到 ALoS(系数 = 0.021;p = 0.015)、BOR(系数 = 1.30;p = 0.002)和 BTR(系数 = 0.08,p = 0.012)的月度趋势明显增加。我们发现,与 COVID-19 大流行之前相比,COVID-19 大流行之后 BTI 的月度趋势明显下降(系数 = -0.11,p = 0.009)。根据 Pabon Lasso 模型,疫情发生前(后),29.4%(29.4%)的医院位于 1 区,为低效区;17.6%(35.3%)的医院位于 3 区,为高效区:研究表明,COVID-19 爆发后,BOR 和 BTR 大幅下降。相比之下,ALoS 和 BTI 在 COVID-19 大流行后显著增加。我们还发现,医院在这两个时期的表现都很差,根据帕本-拉索模型,只有 30% 的医院位于高效区(三区)。建议开展进一步研究,以确定影响伊朗医院效率降低的主要因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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COVID-19 Pandemic and Hospital Efficiency in Iran: Insight from an Interrupted Time Series Analysis and Pabon Lasso Model.

Background: Limited evidence exists on the impact of the Coronavirus Disease 2019 (COVID-19) pandemic on hospital efficiency worldwide. This study aimed to investigate the impact of the COVID-19 pandemic on public hospitals in Iran.

Methods: In this quasi-experimental study, monthly data on the average length of stay (ALoS), bed occupancy rate (BOR), bed turnover rate (BTR) and bed turnover interval (BTI) were collected for 58 months (36 months before and 22 months after the COVID-19 outbreak in Iran) from the health information systems of all 18 public hospitals affiliated with Kermanshah University of Medical Sciences in Kermanshah province, Iran. We used interrupted time series analysis and the Pabon Lasso model to investigate the impact of the COVID-19 pandemic on hospital efficiency.

Results: The monthly average ALoS, BOR, BTR and BTI before (after) the COVID-19 pandemic was 3.30 (3.48) days, 70.14% (49.37), 6.78 (4.81) patients per bed and 1.15 (2.88) days, respectively. The study indicated that a statistically significant decrease in ALoS of 0.29 and BOR of 25.09 in the first month following the COVID-19 pandemic. Compared with the before pandemic period, we observed a significant increase in the monthly trend of ALoS (coefficient = 0.021; p = 0.015), BOR (coefficient = 1.30; p = 0.002), and BTR (coefficient = 0.08, p = 0.012). We found a significant decrease in the monthly trend in BTI (coefficient = -0.11, p = 0.009) after the COVID-19 pandemic when compared with before the pandemic. Based on the Pabon Lasso model, before (after) the pandemic, 29.4% (29.4%) of the hospitals were located in zone 1 as an inefficient area, and 17.6% (35.3%) of hospitals were located in zone 3 as an efficient area.

Conclusion: The study demonstrated that the BOR and BTR decreased substantially after the outbreak of COVID-19. In contrast, the ALoS and BTI have significantly increased following the COVID-19 pandemic. We also found that hospitals' performance in both periods was poor, and only 30% of hospitals were located in the efficient zone (zone three) based on the Pabon Lasso model. Further studies aimed at identifying the main factors affecting lower efficiency among hospitals in Iran are recommended.

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