| Literature DB >> 35609305 |
Thomas Hellstén1,2, Jari Arokoski1,3, Tuulikki Sjögren4, Anna-Maija Jäppinen5, Jyrki Kettunen6.
Abstract
BACKGROUND: The ongoing COVID-19 pandemic has required social, health, and rehabilitation organizations to implement remote physiotherapy (RP) as a part of physiotherapists' daily practice. RP may improve access to physiotherapy as it delivers physiotherapy services to rehabilitees through information and communications technology. Even if RP has already been introduced in this century, physiotherapists' opinion, amount of use, and form in daily practice have not been studied extensively.Entities:
Keywords: COVID-19; COVID-19 pandemic; competence of physiotherapist; current state; remote physiotherapy; suitability in disease groups
Year: 2022 PMID: 35609305 PMCID: PMC9177171 DOI: 10.2196/35569
Source DB: PubMed Journal: JMIR Rehabil Assist Technol ISSN: 2369-2529
Characteristics of the study physiotherapists.
|
| Total group (n=579) | Public sector (n= 152) | Private sector (n=423) | |||
|
| ||||||
|
| Total | 48.8 (11.9) | 48.6 (11.9) | 49.0 (11.9) | .73a | |
|
| Female | 49.3 (11.9) | 49.3 (11.9) | 49.3 (11.7) | .93a | |
|
| Male | 46.2 (12.2) | 42.3 (10.3) | 47.3 (12.3) | .15a | |
| Time from physiotherapy degree (years), mean (SD) | 22.3 (12.6) | 21.4 (12.5) | 22.7 (12.5) | .27a | ||
|
| .47b | |||||
|
| <1 year | 18 (3.1) | 7 (4.6) | 10 (2.4) |
| |
|
| ≥1 year and <5 years | 65 (11.2) | 17 (11.2) | 47 (11.1) |
| |
|
| ≥5 years and <10 years | 56 (9.7) | 12 (7.9) | 43 (10.2) |
| |
|
| ≥10 years | 440 (76.0) | 116 (76.3) | 323 (76.4) |
| |
|
| <.001b | |||||
|
| No experience | 210 (36.3) | 77 (50.7) | 130 (30.7) |
| |
|
| <1 year | 209 (36.1) | 26 (30.3) | 162 (38.3) |
| |
|
| 1 year to 2 years | 135 (23.3) | 26 (17.1) | 109 (25.8) |
| |
|
| >2 to 4 years | 13 (2.2) | 1 (0.7) | 12 (2.8) |
| |
|
| >4 years | 12 (2.1) | 2 (1.3) | 10 (2.4) |
| |
aP values are based on Student t test.
bP values are based on chi-square test.
Suitability score of remote physiotherapy in different disease groupsa.
| Connected disease groups and subgroups | Total group, mean (SD) | Public sector, mean (SD) | Private sector, mean (SD) | Mean difference (95% CI) | |||||||
|
| 6.1 (2.4) | 6.5 (2.1) | 5.9 (2.5) | 0.6 (0.1 to 1.1) | .02 | ||||||
|
| Asthma | 6.6 (2.5) | 6.8 (2.3) | 6.5 (2.5) | 0.3 (–0.3 to 0.8) | .31 | |||||
|
| COPDc | 5.6 (2.6) | 6.2 (2.2) | 5.4 (2.7) | 0.8 (0.3 to 1.3) | .003 | |||||
|
| 5.7 (2.2) | 6.1 (1.9) | 5.6 (2.3) | 0.6 (0.1 to 1.0) | .01 | ||||||
|
| Knee and hip osteoarthritis | 6.6 (2.5) | 7.2 (2.1) | 6.4 (2.6) | 0.8 (0.3 to 1.2) | .001 | |||||
|
| Low back pain | 5.9 (2.6) | 5.9 (2.5) | 5.9 (2.6) | 0.0 (–0.5 to 0.5) | .98 | |||||
|
| Repetitive strain injury of the hand and forearm | 5.9 (2.8) | 6.5 (2.7) | 5.6 (2.8) | 0.9 (0.3 to 1.5) | .002 | |||||
|
| Tendon disorder of the shoulder | 5.8 (2.7) | 6.0 (2.6) | 5.7 (2.7) | 0.4 (–0.2 to 0.9) | .19 | |||||
|
| Rheumatoid arthritis | 5.7 (2.5) | 6.1 (2.3) | 5.5 (2.6) | 0.6 (0.1 to 1.2) | .02 | |||||
|
| Pain patient | 5.2 (2.7) | 5.3 (2.6) | 5.1 (2.7) | 0.2 (–0.4 to 0.8) | .50 | |||||
|
| Neck pain | 4.8 (2.7) | 4.7 (2.6) | 4.8 (2.7) | –0.1 (–0.7 to 0.5) | .75 | |||||
|
| 4.9 (2.7) | 5.3 (2.6) | 4.7 (2.7) | 0.6 (0.0 to 1.2) | .06 | ||||||
|
| Anxiety disorder | 5.2 (3.0) | 5.6 (3.1) | 5.0 (3.0) | 0.6 (0.0 to 1.3) | .045 | |||||
|
| Depression | 5.0 (2.9) | 5.3 (2.8) | 4.8 (2.9) | 0.5 (–0.2 to 1.1) | .15 | |||||
|
| Personality disorder | 4.7 (2.9) | 4.9 (2.9) | 4.6 (2.9) | 0.4 (–0.2 to 1.0) | .23 | |||||
|
| 3.3 (2.1) | 3.3 (1.9) | 3.3 (2.2) | 0.1 (–0.5 to 0.4) | .81 | ||||||
|
| Multiple sclerosis | 4.4 (2.6) | 4.3 (2.4) | 4.4 (2.7) | –0.1 (–0.6 to 0.5) | .85 | |||||
|
| Parkinson disease | 4.0 (2.6) | 4.1 (2.5) | 4.0 (2.6) | 0.1 (–0.5 to 0.7) | .69 | |||||
|
| Cerebral infarction (eg, stroke) | 3.3 (2.6) | 3.1 (2.4) | 3.4 (2.6) | –0.2 (–0.8 to 0.3) | .45 | |||||
|
| Spinal cord injury | 3.2 (2.7) | 2.9 (2.3) | 3.3 (2.8) | –0.5 (–1.1 to 0.1) | .09 | |||||
|
| Brain injury | 3.2 (2.5) | 2.9 (2.4) | 3.2 (2.6) | –0.3 (–0.8 to 0.2) | .25 | |||||
|
| Memory disorder | 2.1 (2.2) | 2.3 (2.3) | 2.0 (2.2) | 0.3 (–0.2 to 0.8) | .21 | |||||
|
| |||||||||||
|
| Heart disease/failure | 5.8 (2.7) | 6.1 (2.5) | 5.7 (2.8) | 0.4 (–0.1 to 1.0) | .14 | |||||
|
| Cancer | 5.2 (2.8) | 5.3 (2.7) | 5.2 (2.8) | 0.1 (–0.5 to 0.7) | .75 | |||||
|
| Multimorbid patient | 3.6 (2.6) | 3.7 (2.6) | 3.5 (2.7) | 0.2 (–0.4 to 0.8) | .46 | |||||
aSuitability score (0=not suitable at all to 10=fully suitable).
bP values are based on Student t test.
cCOPD: chronic obstructive pulmonary disease.
Proportion of physiotherapists who used remote physiotherapy before (early 2020) and during the COVID-19 pandemic (spring 2021).
| Proportion of practice time (%) | Total group, n (%) | Public sector, n (%) | Private sector, n (%) | |||
|
| .03 | |||||
|
| 0 | 212 (76.8) | 41 (66.1) | 171 (80.3) |
| |
|
| 1-20 | 60 (21.7) | 19 (30.6) | 40 (18.8) |
| |
|
| >20 | 4 (1.4) | 2 (3.2) | 2 (0.9) |
| |
|
| .20 | |||||
|
| 0 | 65 (23.7) | 15 (24.6) | 50 (23.5) |
| |
|
| 1-20 | 177 (64.6) | 35 (57.4) | 142 (66.7) |
| |
|
| >20 | 32 (11.7) | 11 (18.0) | 21 (9.9) |
| |
aP values are based on chi-square tests.
Methods and equipment used in remote physiotherapy on a weekly basis.
|
| Total group, n (%) | Public sector, n (%) | Private sector, n (%) | |||||||
|
| .47 | |||||||||
|
| Real-time method | 203 (71.0) | 46 (69.7) | 157 (71.7) |
| |||||
|
| Method not tied to time | 11 (3.8) | 1 (1.5) | 10 (4.6) |
| |||||
|
| Real-time method and method not tied to time | 25 (8.7) | 5 (7.6) | 20 (9.1) |
| |||||
|
| ||||||||||
|
| Computer/tablet | 229 (79.0) | 46 (67.6) | 183 (82.8) | .01 | |||||
|
| Smartphone | 149 (51.4) | 33 (48.5) | 116 (52.5) | .58 | |||||
|
| Phone | 51 (17.6) | 18 (26.5) | 33 (14.9) | .04 | |||||
|
| Activity trackerb | 18 (6.2) | 3 (4.4) | 15 (6.8) | .58 | |||||
|
| Othersc | 10 (1.7) | 1 (1.5) | 9 (4.1) | .76 | |||||
aP values are based on chi-square tests.
bFor example, pedometer and accelerometer.
cExergame, television application, virtual reality, computer vision, artificial intelligence, robotics, smart textile, or augmented reality.