School of Nursing, University of School of Nursing, University of California, San Francisco (UCSF), San Francisco, CA, USA.
Policy Polit Nurs Pract. 2023 Aug;24(3):198-207. doi: 10.1177/15271544231157382. Epub 2023 Feb 21.
This article seeks to understand the changes in federal health care policy that led to greater telehealth adoption during COVID-19 pandemic. For decades, telehealth was identified as a possibility for increasing health care access, but the policies needed for greater telehealth reimbursement were stalled until the public health emergency was declared. Applying the dynamic concepts within punctuated equilibrium theory (PET) model to traditional fee-for-service Medicare policy, the influential factors are identified and specify how policy change occurred as a response to the pandemic, resulting in swift and large-scale changes in Medicare telehealth reimbursement requirements and widespread telehealth adoption. The model also explains how the same forces that led to Medicare policy response are at work to maintain and broaden or contract and limit the future of telehealth reimbursement as the public health emergency recedes.
本文旨在探讨导致 COVID-19 大流行期间远程医疗采用率增加的联邦医疗保健政策变化。几十年来,远程医疗被认为是增加医疗保健可及性的一种可能性,但需要更多远程医疗报销的政策一直停滞不前,直到公共卫生紧急情况宣布。本文将间断平衡理论(PET)模型中的动态概念应用于传统的按服务收费的医疗保险政策,确定了影响因素,并具体说明了政策变化是如何作为对大流行的反应而发生的,从而导致医疗保险远程医疗报销要求的迅速和大规模变化以及远程医疗的广泛采用。该模型还解释了导致医疗保险政策反应的相同力量是如何在公共卫生紧急情况消退的情况下,作用于维持和扩大或缩小和限制远程医疗报销的未来。