| Literature DB >> 35720445 |
Tsuneari Takahashi1, Ryusuke Ae2, Koki Kosami2, Kensuke Minami3, Meiwa Shibata4, Tatsuya Kubo1,5, Katsushi Takeshita1.
Abstract
Background: Hospital-related coronavirus disease 2019 (COVID-19) infection is of utmost concern among patients and health care workers. Expanding the use of telemedicine may be required in daily outpatient practice; however, the acceptance of telemedicine use is still low, especially among older patients. In an orthopedic practice, no studies have investigated potential factors that can contribute to changes in the acceptance of using telemedicine. Focusing on older outpatients with knee osteoarthritis (KOA), we hypothesized that a drastic surge in the number of patients with COVID-19 could trigger changes in attitudes regarding the acceptance of telemedicine use.Entities:
Keywords: acceptance; coronavirus disease 2019; knee osteoarthritis; orthopedic practice; outpatient; telemedicine
Year: 2022 PMID: 35720445 PMCID: PMC8989095 DOI: 10.1089/tmr.2021.0052
Source DB: PubMed Journal: Telemed Rep ISSN: 2692-4366
FIG. 1.Baseline and follow-up survey periods and number of patients with coronavirus disease 2019 in Tochigi Prefecture, Japan. The date is the calendar year 2020.
FIG. 2.Patient selection. KOA, knee osteoarthritis.
Patient Characteristics at the Baseline Survey (N = 43)
| Variables | |
|---|---|
| Age, mean ± SD, years | 76.5 ± 5.2 |
| 70–79 | 31 (72.1) |
| 80–89 | 12 (27.9) |
| Gender | |
| Male | 15 (34.9) |
| Female | 28 (65.1) |
| Smartphone possession | |
| Yes | 15 (34.9) |
| No | 28 (65.1) |
| Time required to visit hospitals, mean ± SD, min | 24.0 ± 20.1 |
| Numeric rating scale for pain, mean ± SD | 25.3 ± 20.4 |
| KL classification | |
| Grade 2 | 15 (34.9) |
| Grade 3 | 10 (23.3) |
| Grade 4 | 18 (41.9) |
| Willingness of adopting telemedicine | |
| Yes (Group Y) | 11 (25.6) |
| No (Group N) | 32 (74.4) |
KL, Kellegren–Lawrence; SD, standard deviation.
Comparison of Patients Based on Willingness to Use Telemedicine at the Baseline Survey (N = 43)
| Variables | Willingness to use telemedicine |
| |
|---|---|---|---|
| Yes (Group Y), | No (Group N), | ||
| Age (years old) | 74.7 ± 5.2 | 77.1 ± 5.2 | 0.193 |
| Gender (male/female) | 3/8 | 12/20 | 0.539 |
| Smartphone possession (yes/no) | 7/4 (63.6%) | 8/24 (25.0%) | 0.020[ |
| Time required to visit hospitals (min) | 30.3 ± 28.7 | 21.8 ± 16.2 | 0.231 |
| Numeric rating scale for pain | 23.2 ± 16.2 | 26.0 ± 21.9 | 0.699 |
| KL classification (Grades 2/3/4) | 7/1/3 | 8/9/15 | 0.063 |
Data are presented as mean ± SD or number of patients. Numerical and categorical variables were compared using t-tests and chi-square tests, respectively.
Significant difference in the percentage of smartphone use.
Change in Willingness to Use Telemedicine and Knee Pain Status Between Baseline and Follow-Up Surveys (N = 43)
| Surveys |
| ||
|---|---|---|---|
| Baseline ( | Follow-up ( | ||
| Willingness to use telemedicine, | 1.000 | ||
| Yes | 11 (25.6) | 11 (25.6) | |
| No | 32 (74.4) | 32 (74.4) | |
| Numeric rating scale, mean ± SD | 25.3 ± 20.4 | 22.6 ± 19.5 | 0.550 |
Percentages for willingness to use telemedicine were compared using chi-square tests, whereas the mean of the numeric rating scale was compared using t-tests.
Change in Knee Pain Status Based on Willingness to Use Telemedicine (N = 43)
| Knee pain status | Willingness to use telemedicine at baseline survey |
| |
|---|---|---|---|
| Yes (Group Y), | No (Group N), | ||
| Unchanged | 10 (90.9) | 25 (78.1) | 0.347 |
| Improved | 1 (9.1) | 7/32 (21.9) | |
Knee pain status was based on a numeric rating scale. Chi-square test was performed.