| Literature DB >> 35960841 |
Tatsunori Murakami1,2, Yumi Higuchi1, Tetsuya Ueda1, Wataru Kozuki1, Aki Gen1.
Abstract
BACKGROUND: The spread of COVID-19 has affected stroke rehabilitation. Given that inpatient visits are restricted in most institutions, alternative ways of providing information to family members are imperative. Informing families about patients' rehabilitation progress via the web may help involve families in the rehabilitation process, enhance patients' motivation to continue rehabilitation, and contribute overall to patients' improvement in activities of daily living (ADL).Entities:
Keywords: COVID-19; activities of daily living; case-control; family; health information; information communication technology; internet-based; physical function; recovery; rehabilitation; stroke
Year: 2022 PMID: 35960841 PMCID: PMC9533205 DOI: 10.2196/38489
Source DB: PubMed Journal: JMIR Rehabil Assist Technol ISSN: 2369-2529
Figure 1The overview diagram of Internet-Based Rehabilitation Information Sharing (IRIS).
Comparison of ICT and control groups by matching. P values are all based on comparisons with the ICT group.
| Variable | ICTa group (n=16) | Control group (n=16) | Non-ICT group (n=115) | |||
| Age (years), mean (SD) | 78.6 (7.2) | 78.6 (8.2) | .96b | 77.3 (8.2) | .53b | |
| Sex, female, n (%) | 6 (37.5) | 5 (31.2) | >.99c | 50 (43.5) | .79c | |
|
| .45c |
| .81c | |||
|
| Ischemic | 10 (62.5) | 7 (43.8) |
| 79 (68.7) |
|
|
| Hemorrhagic | 5 (31.2) | 6 (37.5) |
| 32 (27.8) |
|
|
| Subarachnoid hemorrhage | 1 (6.2) | 3 (18.8) |
| 4 (3.5) |
|
| Discharge destination, home, n (%) | 10 (62.5) | 8 (50) | .72c | 85 (73.9) | .38c | |
| Length of hospital stay (days), mean (SD) | 95.3 (37.4) | 70.6 (33.5) | .06b | 66.0 (37.3) | .004b | |
| Onset to hospitalization (days), mean (SD) | 31.4 (17.5) | 30.9 (15.3) | .93b | 27.7 (15.7) | .38b | |
|
| ||||||
|
| Admission | 37.0 (28.8-79.3) | 40.5 (22.8-81.8) | .90e | 75.0 (55.0-97.0) | .004e |
|
| Discharge | 81.0 (60.3-105.0) | 62.5 (29.5-109.5) | .21e | 105.0 (78.0-119.0) | .03e |
|
| Difference | 28.5 (20.3-53.0) | 11.0 (2.8-30.0) | .02e | 22.0 (10.0-31.0) | .02e |
|
| ||||||
|
| Admission | 21.5 (13.0-51.3) | 20.5 (13.0-53.0) | .90e | 51.0 (31.0-66.0) | .003e |
|
| Discharge | 64.0 (38.8-76.3) | 42.5 (16.0-80.0) | .14e | 79.0 (54.0-87.0) | .06e |
|
| Difference | 24.0 (17.0-46.0) | 10.5 (3.0-25.8) | .03e | 20.0 (9.0-27.0) | .048e |
|
| ||||||
|
| Admission | 19.0 (12.3-26.5) | 20.0 (9.3-28.5) | .93e | 26.0 (20.0-32.0) | .01e |
|
| Discharge | 22.0 (16.3-29.0) | 21.0 (11.3-30.0) | .78e | 28.0 (21.0-33.0) | .02e |
|
| Difference | 2.0 (0.0-5.0) | 0.0 (0.0-1.8) | .29e | 0.0 (0.0-3.0) | .28e |
aICT: information and communication technology.
bUnpaired 2-tailed t test.
cχ2 test.
dFIM: Functional Independence Measure.
eMann-Whitney U test.
Figure 2Flow of the study participants. FIM: Functional Independence Measure; ICT: information and communication technology.
Factors associated with activities of daily living improvement. Multiple regression analysis (forced imputation method) was used, with the dependent variable being the total Functional Independence Measure difference (R2=0.420). The number of participants is the sum of those in the ICTa and control groups (n=32).
| Factor | B |
| 95% CI | |
| Group (1: ICT group) | 11.97 | 0.32 | 0.094-23.840 | .048 |
| Length of hospital stay (days) | 0.19 | 0.37 | 0.031-0.356 | .02 |
| Onset to hospitalization (days) | –0.37 | –0.31 | –0.719 to –0.018 | .04 |
aICT: information and communication technology.
Families’ characteristics in the information and communication technology group.
| Characteristic | Family member (n=16), n (%) | |
|
| ||
|
| 30-39 | 2 (12) |
|
| 40-49 | 7 (44) |
|
| 50-59 | 5 (31) |
|
| 60-69 | 1 (6) |
|
| 70-79 | 1 (6) |
|
| ||
|
| Working | 13 (81) |
|
| Not working | 3 (19) |