| Literature DB >> 34632025 |
Stefano Bini1, Yu-Fen Chiu2, Michael Ast2, Chad Krueger3, Joseph Maratt4, Ilya Bendich2.
Abstract
BACKGROUND: The Coronavirus Disease 2019 (COVID-19) pandemic has led to an increase in telehealth utilization across the health-care sector. It is unknown if telehealth use among hip and knee arthroplasty clinics has remained an important health-care delivery platform. The purpose of the present study was to analyze telehealth utilization before and for 1 year during the pandemic among four varied hip and knee arthroplasty clinics.Entities:
Keywords: COVID-19; Healthcare delivery; Primary hip replacement; Primary knee replacement; Telehealth
Year: 2021 PMID: 34632025 PMCID: PMC8486641 DOI: 10.1016/j.artd.2021.09.012
Source DB: PubMed Journal: Arthroplast Today ISSN: 2352-3441
Total and center-specific utilization of in-person, telehealth, and telephone visits broken out by sex, appointment type, age group.
| Variable | Total N = 296,540) | Center A | Center B | Center C | Center D | |
|---|---|---|---|---|---|---|
| n | % | % | % | % | % | |
| Utilization | ||||||
| In-person | 280,559 | 95 | 92 | 84 | 96 | 96 |
| Telehealth | 15,240 | 5 | 7 | 14 | 4 | 4 |
| Telephone | 741 | 0 | 1 | 2 | 0 | 0 |
| Sex | ||||||
| Female | 170,296 | 57 | 58 | 61 | 57 | 57 |
| Male | 126,034 | 43 | 42 | 39 | 43 | 43 |
| N/A | 210 | 0 | 0 | 0 | 0 | 0 |
| Appt | ||||||
| FollowUp | 120,949 | 41 | 41 | 52 | 1 | 42 |
| NewPatient | 37,623 | 13 | 31 | 29 | 18 | 6 |
| Other | 93,730 | 32 | 5 | 0 | 55 | 40 |
| PostOp | 44,236 | 15 | 24 | 19 | 27 | 12 |
| Age group | ||||||
| 50 or Less | 15,432 | 5 | 9 | 9 | 19 | 3 |
| 50 to 70 | 163,175 | 55 | 55 | 54 | 51 | 55 |
| 70 and Above | 117,911 | 40 | 36 | 37 | 30 | 41 |
| N/A | 22 | 0 | 0 | 0 | 0 | 0 |
Appt, Appointment type.
Cochran-Armitage test included to assess differences in telehealth-specific utilization between centers.
Total and center-specific utilization of telehealth visits by sex, appointment type, age group.
| Variable | Total (N = 15,240) | Center A | Center B | Center C | Center D | |
|---|---|---|---|---|---|---|
| n | % | % | % | % | % | |
| Sex | ||||||
| Female | 8651 | 57 | 58 | 61 | 56 | 55 |
| Male | 6580 | 43 | 42 | 38 | 44 | 45 |
| N/A | 9 | 0 | 0 | 0 | 0 | 0 |
| Appt | ||||||
| FollowUp | 9080 | 60 | 57 | 78 | 5 | 60 |
| NewPatient | 1542 | 10 | 17 | 14 | 0 | 6 |
| Other | 1532 | 10 | 0 | 0 | 92 | 13 |
| PostOp | 3084 | 20 | 26 | 8 | 2 | 20 |
| Age group | ||||||
| 50 or Less | 1140 | 7 | 11 | 13 | 25 | 4 |
| 50 to 70 | 8874 | 58 | 60 | 58 | 49 | 58 |
| 70 and Above | 5226 | 34 | 28 | 29 | 25 | 39 |
Appt, Appointment type.
Figure 1Overall and center-specific breakdown of telehealth usage by age over time.
Figure 2Utilization of of in-person, telehealth, and telephone visits over time (January 1, 2020 – April 30, 2021) for the total cohort and by center.
Figure 3Month-over-month change in telehealth utilization for overall cohort and by center.
Figure 4Overall and center-specific breakdown of telehealth usage by sex over time.
Center-specific breakdown of telehealth usage by appointment type over time (four time periods: 04/2020, 08/2020, 12/2020, 04/2021).
| Center A | 2020-04 | 2020-08 | 2020-12 | 2021-04 | |
|---|---|---|---|---|---|
| % | % | % | % | ||
| Appt | <.0001 | ||||
| FollowUp | 37 | 67 | 60 | 77 | |
| NewPatient | 20 | 15 | 11 | 13 | |
| Other | 0 | 0 | 0 | 0 | |
| PostOp | 43 | 18 | 29 | 10 | |
| Center B | |||||
| Appt | <.0001 | ||||
| FollowUp | 83 | 72 | 67 | 70 | |
| NewPatient | 16 | 11 | 7 | 19 | |
| Other | 0 | 0 | 0 | 0 | |
| PostOp | 1 | 18 | 25 | 11 | |
| Center C | |||||
| Appt | <.0001 | ||||
| FollowUp | 7 | 0 | 10 | 0 | |
| NewPatient | 0 | 0 | 0 | 0 | |
| Other | 93 | 100 | 70 | 100 | |
| PostOp | 1 | 0 | 20 | 0 | |
| Center D | |||||
| Appt | <.0001 | ||||
| FollowUp | 65 | 36 | 32 | 47 | |
| NewPatient | 7 | 2 | 1 | 1 | |
| Other | 14 | 6 | 7 | 8 | |
| PostOp | 15 | 56 | 60 | 44 |
Appt, Appointment type.