Literature DB >> 35692856

Changes in Patient Characteristics and Practice Outcomes of a Tele-Urgent Care Clinic Pre- and Post-COVID-19 Telehealth Policy Expansions.

Saif Khairat, Yuxiao Yao, Cameron Coleman, Philip McDaniel, Barbara Edson, Christopher M Shea.   

Abstract

Introduction: The coronavirus 2019 pandemic (COVID-19) has resulted in major changes in lifestyle practices and healthcare delivery. The goal of this study was to examine changes in practice and service outcomes in a telehealth program before and after the federal and private telehealth policy expansion during the COVID-19 pandemic. These findings are particularly useful to understand what may be needed to overcome telehealth challenges in future disasters.
Methods: We conducted a cross-sectional analysis of virtual visits through a statewide telehealth center embedded in a large academic healthcare system. Primary outcomes of this study were changes in telehealth visits pre- and post-policy expansions among at-risk populations.
Results: A total of 2,132 telehealth visits were conducted: 1,530 (71.8 percent) patients were female, 1,561 (73.2 percent) were between the ages 18-50, 1,576 (74 percent) were uninsured, and 1,225 (57.5 percent) were from rural regions. The average number of telehealth visits per day increased from 14 to 33 visits post-expansion. A significant change in patient characteristics was found among senior, uninsured, and rural patients after the telehealth expansion.There was an 11 percent decrease in telehealth visits from very high vulnerability regions post-expansion compared to pre-expansion. There was a 15 percent decrease in visits resulting in prescription post-expansion (p-value<0.01). Conclusions: COVID-19 policy expansions expanded telehealth utilization among at-risk populations such as senior, uninsured, and rural patients while decompressing hospitals and emergency rooms and maintaining positive patient experiences. Further regulations are needed around virtual visits unintended consequences, software certification, and guidelines for workforce training.
Copyright © 2022 by the American Health Information Management Association.

Entities:  

Keywords:  COVID-19; Changes; Outcomes; Population; Telehealth

Mesh:

Year:  2022        PMID: 35692856      PMCID: PMC9123528     

Source DB:  PubMed          Journal:  Perspect Health Inf Manag        ISSN: 1559-4122


  16 in total

1.  Antibiotic Prescribing During Pediatric Direct-to-Consumer Telemedicine Visits.

Authors:  Kristin N Ray; Zhuo Shi; Courtney A Gidengil; Sabrina J Poon; Lori Uscher-Pines; Ateev Mehrotra
Journal:  Pediatrics       Date:  2019-04-08       Impact factor: 7.124

2.  Use of Medical Scribes to Reduce Documentation Burden: Are They Where We Need to Go With Clinical Documentation?

Authors:  David W Bates; Adam B Landman
Journal:  JAMA Intern Med       Date:  2018-11-01       Impact factor: 21.873

3.  What Is a Pandemic?

Authors:  Dara Grennan
Journal:  JAMA       Date:  2019-03-05       Impact factor: 56.272

4.  Virtually Perfect? Telemedicine for Covid-19.

Authors:  Judd E Hollander; Brendan G Carr
Journal:  N Engl J Med       Date:  2020-03-11       Impact factor: 91.245

5.  Running the Numbers : Estimated Changes in Health Insurance Coverage of North Carolinians in the First Six Months of the COVID-19 Pandemic.

Authors:  Mark Holmes
Journal:  N C Med J       Date:  2020 Nov-Dec

6.  Advancing health equity and access using telemedicine: a geospatial assessment.

Authors:  Saif Khairat; Timothy Haithcoat; Songzi Liu; Tanzila Zaman; Barbara Edson; Robert Gianforcaro; Chi-Ren Shyu
Journal:  J Am Med Inform Assoc       Date:  2019-08-01       Impact factor: 4.497

7.  Patient Satisfaction and Antibiotic Prescribing for Respiratory Infections by Telemedicine.

Authors:  Charles B Foster; Kathryn A Martinez; Camille Sabella; Gregory P Weaver; Michael B Rothberg
Journal:  Pediatrics       Date:  2019-08-01       Impact factor: 7.124

8.  Factors Determining Patients' Choice Between Mobile Health and Telemedicine: Predictive Analytics Assessment.

Authors:  Saif Khairat; Songzi Liu; Tanzila Zaman; Barbara Edson; Robert Gianforcaro
Journal:  JMIR Mhealth Uhealth       Date:  2019-06-08       Impact factor: 4.773

9.  Interpreting COVID-19 and Virtual Care Trends: Cohort Study.

Authors:  Saif Khairat; Chenlu Meng; Yuxuan Xu; Barbara Edson; Robert Gianforcaro
Journal:  JMIR Public Health Surveill       Date:  2020-04-15
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.