在华盛顿特区的一家城市教学医院管理的门诊糖尿病患者中大流行远程医疗的利用。

Jessica Lyons, Mary Awuonda, Daria Sinclair, Rakchhya Uprety, Faith Ogini, Carrie Crowther, Monika Daftary, Gail Nunlee-Bland
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引用次数: 0

摘要

目的:本研究的目的是探讨在COVID-19大流行期间,医疗服务不足的门诊糖尿病人群的远程医疗使用率及其相关因素。方法:回顾性分析某城市教学医院糖尿病门诊2020年1月至2021年1月的电子病历。对所有研究变量进行描述性统计分析。采用简单和多元logistic回归分析评估COVID-19大流行期间远程医疗利用的预测因素。所有统计分析均采用SPSS 28, alpha水平为0.05。结果:共纳入325例患者。研究人群的平均年龄为58.2±15.9岁,以女性(67.6%)和黑人/非裔美国人(92.6%)为主。平均用药次数为4.9±2.6次,平均糖化血红蛋白为8.1%±2.4%。使用远程医疗的患者比例很高(88.3%)。多变量分析的结果表明,与男性相比,女性更有可能使用远程医疗,调整其他因素(or调整2.14 (95% CI: 1.06-4.32))。作为低收入和医疗服务不足状况的代表,病房不是远程医疗利用的显著预测因子(p = 0.89)。结论:调查结果显示,在COVID-19大流行高峰期,远程医疗被广泛接受,即使是低收入和医疗服务不足状况严重的参与者也是如此。应继续倡导远程保健,将其作为向这些弱势患者提供护理的可行选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pandemic Telehealth Utilization Among Ambulatory Care Diabetes Patients Managed at an Urban Teaching Hospital in Washington, DC.

Objective: The purpose of this study is to explore the prevalence of and factors associated with telehealth utilization in a medically underserved, ambulatory care diabetes population during COVID-19 pandemic. Methods: A retrospective chart review was conducted using electronic medical records from January 2020 to January 2021 at an ambulatory care diabetes clinic within an urban teaching hospital. Descriptive statistical analysis was conducted for all study variables. Simple and multiple logistic regression analyses were conducted to assess predictive factors of telehealth utilization during the COVID-19 pandemic. All statistical analysis was conducted using SPSS version 28 at an alpha level of 0.05. Results: A total of 325 patients were included in the study. The mean age of the study population was 58.2  ±  15.9 years, and the majority was female (67.6%) and Black/African American (92.6%). The average number of medications prescribed was 4.9 ± 2.6 medications, and the average A1C was 8.1% ± 2.4%. A high proportion of patients utilized telehealth (88.3%). Findings from the multivariable analysis showed that females were more likely to use telehealth compared to males, adjusting for other factors (ORadjusted 2.14 (95% CI: 1.06-4.32). Ward, as a proxy for low income and high medically underserved status, was not a significant predictor of telehealth utilization (p = 0.89). Conclusion: Findings showed that telehealth was widely acceptable at the height of the COVID-19 pandemic even for participants who are low income and have high medically underserved status. Telehealth should continue to be championed as a viable option of care delivery for these vulnerable patients.

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