Humbert Katelyn, Mauldin Kasuen, Saarony Dania
Department of Nutrition, Food Science and Packaging, San José State University, San José, CA, United States of America.
Department of Clinical Nutrition, Stanford Health Care, Stanford, CA, United States of America.
Healthc Anal (N Y). 2023 Nov;3:100163. doi: 10.1016/j.health.2023.100163. Epub 2023 Mar 22.
During the start of the global COVID-19 pandemic in March 2020, patient care modalities changed from in-person to telehealth to comply with physical distancing guidelines. Our study uniquely examines operations data from three distinct periods: before the transition to telehealth, early transition from in-person care to telehealth, and the eventual adoption of telehealth. We present a comparative analysis of outpatient nutrition clinic scheduling outcomes based on care delivery modality. We used descriptive statistics to report means and variance and frequencies. We used inferential statistics to make comparisons: categorical data were compared using chi-square analysis with post-hoc comparisons using a z-test with alpha at 0.05. Means of continuous variables were compared using ANOVA with Tukey HSD post-hoc analysis. We found patient demographics remained widely unchanged across the three distinct periods as the demand for telehealth visits increased, with a notable rise in return patient visits, signaling both adaptability across the patient population and acceptance of the telehealth modality. These analyses along with evidence from the included literature review point to many the benefits of telehealth, thus telehealth as a healthcare delivery modality is here to stay. Our work serves as a foundation for future studies in this field, provides information for decision-makers in telehealth-related strategic planning, and can be utilized in advocacy for the extension of telehealth coverage.
在2020年3月全球新冠疫情开始之际,为遵守社交距离准则,患者护理模式从面对面改为远程医疗。我们的研究独特地考察了三个不同时期的运营数据:向远程医疗过渡之前、从面对面护理向远程医疗的早期过渡以及最终采用远程医疗。我们基于护理提供模式对门诊营养诊所的排班结果进行了比较分析。我们使用描述性统计来报告均值、方差和频率。我们使用推断性统计进行比较:分类数据使用卡方分析进行比较,事后比较使用α值为0.05的z检验。连续变量的均值使用方差分析和Tukey HSD事后分析进行比较。我们发现,随着远程医疗就诊需求的增加,在这三个不同时期患者人口统计学特征基本保持不变,复诊患者就诊显著增加,这表明患者群体具有适应性且接受了远程医疗模式。这些分析以及纳入文献综述的证据表明远程医疗有诸多益处,因此远程医疗作为一种医疗服务提供模式将持续存在。我们的工作为该领域未来的研究奠定了基础,为远程医疗相关战略规划的决策者提供了信息,可用于支持扩大远程医疗覆盖范围。