Posthospitalization telemedicine follow-up and 30-day readmission across the COVID-19 era: A multiphase analysis in a large integrated healthcare system.

Michael S Yoo, Lawrence S Block, Lue-Yen Tucker, Julia Wei, Kawai Cheung, Mary E Reed
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Abstract

Background: Timely postdischarge visits reduce readmissions, but the impact of telemedicine follow-up remains unclear. The coronavirus disease 2019 (COVID-19) pandemic rapidly expanded telemedicine, offering a unique opportunity to assess its impact on outcomes.

Objectives: Evaluate the association between telemedicine versus in-person follow-up and 30-day outcomes before, during, and after the COVID-19 pandemic.

Methods: Retrospective cohort study of adults discharged from the Medicine Service across 21 hospitals (2017-2023). Telemedicine (video/telephone) versus in-person visits within 7 days of discharge were compared. The primary outcome was 30-day nonelective readmission. Secondary outcomes included 30-day all-cause readmission, emergency department (ED) visits, and mortality. Competing risk and Cox regression models were used, with inverse probability of treatment weighting to address differences.

Results: Among 137,765 patients (mean age 67.5 years, 49.1% female), 59.2% received telemedicine follow-up. Pre-pandemic, 28.2% had telemedicine visits, associated with higher 30-day nonelective readmission risk (adjusted hazard ratio [aHR]: 1.23, 95% confidence interval [CI]: 1.19-1.28, p < .01) and mortality (aHR: 1.87, 95% CI: 1.71-2.05, p < .01). During COVID-19, telemedicine was associated with lower nonelective readmission risk (aHR: 0.92, 95% CI: 0.88-0.97, p < .01), fewer ED visits (aHR: 0.88, 95% CI: 0.84-0.92, p < .01), and no difference in mortality (aHR: 1.10, 95% CI: 0.98-1.24, p = .11). Post-COVID-19, readmission and ED visit risks were similar, though mortality was higher in the telemedicine group (aHR: 1.33, 95% CI: 1.20-1.49, p < .01).

Conclusions: Telemedicine follow-up was associated with favorable outcomes during the pandemic, supporting its use as an alternative to in-person care. Pre- and postpandemic differences likely reflect patient selection. A hybrid follow-up model may optimize access and outcomes in postdischarge care.

2019冠状病毒病疫情时期住院后远程医疗随访和30天再入院:大型综合医疗系统的多阶段分析
背景:及时的出院后就诊减少再入院,但远程医疗随访的影响尚不清楚。2019年冠状病毒病(COVID-19)大流行迅速扩大了远程医疗,为评估其对结果的影响提供了一个独特的机会。目的:评估远程医疗与现场随访与COVID-19大流行之前、期间和之后30天结果之间的关系。方法:回顾性队列研究21家医院(2017-2023年)医学服务部门出院成人。对出院后7天内的远程医疗(视频/电话)和亲自就诊进行比较。主要终点为30天非选择性再入院。次要结局包括30天全因再入院、急诊科(ED)就诊和死亡率。采用竞争风险和Cox回归模型,采用逆概率处理权重来解决差异。结果:137,765例患者(平均年龄67.5岁,女性49.1%)中,59.2%的患者接受了远程医疗随访。大流行前,28.2%的人有过远程医疗就诊,与较高的30天非选择性再入院风险相关(调整风险比[aHR]: 1.23, 95%置信区间[CI]: 1.19-1.28, p)。结论:大流行期间,远程医疗随访与良好的结果相关,支持将其作为面对面护理的替代方案。大流行前后的差异可能反映了患者的选择。混合随访模型可以优化出院后护理的可及性和结果。
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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