| Literature DB >> 32569773 |
Tara Keihanian1, Prateek Sharma2, Jatinder Goyal3, Daniel A Sussman4, Mohit Girotra5.
Abstract
Entities:
Keywords: COVID-19; Clinic; Fellow; GI; Impact; Survey; Telehealth; Telemedicine; Training; Utilization
Mesh:
Year: 2020 PMID: 32569773 PMCID: PMC7305754 DOI: 10.1053/j.gastro.2020.06.040
Source DB: PubMed Journal: Gastroenterology ISSN: 0016-5085 Impact factor: 22.682
Analysis of Utilization of Telehealth Based on Type of Setting (Academic vs Nonacademic) and Geographical Region of United States
| Variable | Total, n ( | Telehealth (via video), | Telemedicine (via phone), | In-person visits, | Dedicated clinic time, | |
|---|---|---|---|---|---|---|
| Type of setting | .012 (for % telemedicine via phone) | |||||
| Academic | 156 (67.8) | 56.7 ± 30.5 | 35.7 ± 29.3 | 8.73 ± 14 | New patient: 34.47 ± 10 | |
| Nonacademic | 74 (37.2) | 58.1 ± 31.5 | 25.3 ± 26.1 | 15.75 ± 24.5 | New patient: 29.9 ± 9 | |
| Region | .005 (NE vs SE for % telemedicine via phone) | |||||
| Northeast (NE) | 28 (12.2) | 50.5 ± 36.3 | 50.1 ± 33.7 | 2.67 ± 4.8 | New patient: 31.8 ± 9.8 | |
| Southeast (SE) | 105 (45.7) | 57.3 ± 30.1 | 28.7 ± 26.2 | 13.73 ± 20.2 | New patient: 31.6 ± 8.4 | |
| Midwest (MW) | 37 (16.1) | 55.9 ± 23 | 38.4 ± 22.5 | 9.1 ± 14.6 | New patient: 32.35 ± 10.1 | |
| Southwest (SW) | 20 (8.7) | 51.9 ± 34.2 | 29.1 ± 31.5 | 15 ± 22.4 | New patient: 33 ± 11.05 | |
| West | 39 (17) | 65.5 ± 32.7 | 24.8 ± 30.3 | 9.6 ± 18.6 | New patient: 38.1 ± 11.9 |
Using independent sample t test.
One respondent did not specify region.
Using 1-way analysis of variance with Tukey’s post-hoc.
Using 1-way analysis of variance with Games Howell post-hoc.