Department of Emergency Medicine, Vanderbilt University Medical Center, United States of America.
Department of Biostatistics, Vanderbilt University Medical Center, United States of America.
Am J Emerg Med. 2022 Nov;61:68-73. doi: 10.1016/j.ajem.2022.08.040. Epub 2022 Aug 19.
We sought to assess if a state-wide lockdown implemented due to COVID-19 was associated with increased odds of being a potentially avoidable transfer (PAT).
We conducted a retrospective observational analysis using hospital administrative data of interfacility ED-to-ED transfers to a single, quaternary care adult ED after "Safer at Home" orders were issued March 23rd, 2020 in [Blinded for submission]. Using the PAT classification to identify transfers rapidly discharged from the ED or hospital and may not require in-person care, we used a multivariable logistic regression model to examine the association of the lockdown order with odds of a transfer being a PAT. We compared the period January 1, 2018 to March 23, 2020 with March 24, 2020 to September 30, 2020, adjusting for seasonality, patient, and situational factors.
There were 20,978 ED-to-ED transfers from during this period that were eligible and 4806 (23%) that met PAT criteria. While the first month post-lockdown saw a decrease in PATs (28%), this was not sustained. In the multivariable model there was a significant seasonal effect; May through September had the highest number of transfers as well as PATs. After adjusting for seasonality, the lockdown was not associated with PATs (adjusted odds ratio [aOR] 0.99, 95% CI 0.2, 5.2) and PATs decreased over time.
We did not find an effect of the COVID-19 lockdown on PATs though there was a considerable seasonal effect and an overall downward trend in PATs over time.
我们旨在评估由于 COVID-19 而实施的全州范围封锁是否与潜在可避免转院(PAT)的可能性增加有关。
我们使用医院行政数据进行了回顾性观察分析,该数据涉及在[受提交内容影响而被隐藏]发布“居家更安全”命令后,2020 年 3 月 23 日至单一四级成人急症室的急症室至急症室转院。使用 PAT 分类来识别从急症室或医院迅速出院且可能不需要亲自护理的转院患者,我们使用多变量逻辑回归模型来检查封锁命令与转院患者成为 PAT 的可能性之间的关联。我们比较了 2018 年 1 月 1 日至 2020 年 3 月 23 日与 2020 年 3 月 24 日至 2020 年 9 月 30 日两个时间段,调整了季节性、患者和情境因素。
在此期间,有 20978 例符合条件的 ED 至 ED 转院患者,其中 4806 例(23%)符合 PAT 标准。虽然封锁后的第一个月 PAT 数量有所减少(28%),但并未持续。在多变量模型中,存在明显的季节性影响;5 月至 9 月的转院和 PAT 数量最多。调整季节性因素后,封锁与 PAT 无关(调整后的优势比[aOR]0.99,95%CI 0.2,5.2),且 PAT 随时间推移呈下降趋势。
我们没有发现 COVID-19 封锁对 PAT 的影响,尽管存在相当大的季节性影响,且 PAT 随时间推移呈总体下降趋势。