Decisions, Operations and Information Technology, University of Maryland, College Park, College Park, MD, United States.
Villanova School of Business, Villanova, PA, United States.
J Med Internet Res. 2024 Oct 3;26:e54991. doi: 10.2196/54991.
The COVID-19 pandemic accelerated telehealth adoption across disease cohorts of patients. For many patients, routine medical care was no longer an option, and others chose not to visit medical offices in order to minimize COVID-19 exposure. In this study, we take a comprehensive multidisease approach in studying the impact of the COVID-19 pandemic on health care usage and the adoption of telemedicine through the first 12 months of the COVID-19 pandemic.
We studied the impact of the COVID-19 pandemic on in-person health care usage and telehealth adoption across chronic diseases to understand differences in telehealth adoption across disease cohorts and patient demographics (such as the Social Vulnerability Index [SVI]).
We conducted a retrospective cohort study of 6 different disease cohorts (anxiety: n=67,578; depression: n=45,570; diabetes: n=81,885; kidney failure: n=29,284; heart failure: n=21,152; and cancer: n=35,460). We used summary statistics to characterize changes in usage and regression analysis to study how patient characteristics relate to in-person health care and telehealth adoption and usage during the first 12 months of the pandemic.
We observed a reduction in in-person health care usage across disease cohorts (ranging from 10% to 24%). For most diseases we study, telehealth appointments offset the reduction in in-person visits. Furthermore, for anxiety and depression, the increase in telehealth usage exceeds the reduction in in-person visits (by up to 5%). We observed that younger patients and men have higher telehealth usage after accounting for other covariates. Patients from higher SVI areas are less likely to use telehealth; however, if they do, they have a higher number of telehealth visits, after accounting for other covariates.
The COVID-19 pandemic affected health care usage across diseases, and the role of telehealth in replacing in-person visits varies by disease cohort. Understanding these differences can inform current practices and provides opportunities to further guide modalities of in-person and telehealth visits. Critically, further study is needed to understand barriers to telehealth service usage for patients in higher SVI areas. A better understanding of the role of social determinants of health may lead to more support for patients and help individual health care providers improve access to care for patients with chronic conditions.
COVID-19 大流行加速了各个疾病队列患者对远程医疗的采用。对于许多患者来说,常规医疗已不再是一种选择,而另一些患者则选择不去医疗机构就诊,以尽量减少 COVID-19 的暴露。在这项研究中,我们通过 COVID-19 大流行的前 12 个月,采用综合多疾病方法研究 COVID-19 大流行对医疗保健使用和远程医疗采用的影响。
我们研究了 COVID-19 大流行对各种慢性病患者的门诊医疗使用和远程医疗采用的影响,以了解不同疾病队列和患者人口统计学特征(如社会脆弱性指数[SVI])之间远程医疗采用的差异。
我们对 6 种不同疾病队列(焦虑症:n=67578;抑郁症:n=45570;糖尿病:n=81885;肾衰竭:n=29284;心力衰竭:n=21152;癌症:n=35460)进行了回顾性队列研究。我们使用汇总统计数据来描述使用情况的变化,并使用回归分析来研究患者特征与大流行前 12 个月的门诊医疗和远程医疗采用和使用之间的关系。
我们观察到各个疾病队列的门诊医疗使用量均有所减少(范围为 10%至 24%)。对于我们研究的大多数疾病,远程医疗预约弥补了门诊就诊量的减少。此外,对于焦虑症和抑郁症,远程医疗使用量的增加超过了门诊就诊量的减少(最多增加了 5%)。我们观察到,年轻患者和男性在考虑其他协变量后,远程医疗使用率更高。来自 SVI 较高地区的患者不太可能使用远程医疗;但是,如果他们使用了远程医疗,在考虑了其他协变量后,他们的远程医疗就诊次数会更多。
COVID-19 大流行影响了各种疾病的医疗保健使用情况,远程医疗在替代门诊就诊方面的作用因疾病队列而异。了解这些差异可以为当前的实践提供信息,并为进一步指导门诊和远程医疗就诊模式提供机会。至关重要的是,需要进一步研究以了解 SVI 较高地区患者使用远程医疗服务的障碍。对健康的社会决定因素的作用有更深入的了解,可能会为患者提供更多支持,并帮助各个医疗保健提供者改善慢性病患者的医疗服务获取。