Unique ID issued by UMIN | UMIN000032265 |
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Receipt number | R000036635 |
Scientific Title | Efficacy of pedometer monitoring in patients undergoing subacute rehabilitation: a pilot study |
Date of disclosure of the study information | 2018/05/07 |
Last modified on | 2023/04/20 19:57:24 |
Efficacy of pedometer monitoring in patients undergoing subacute rehabilitation: a pilot study
Efficacy of pedometer monitoring in rehabilitation
Efficacy of pedometer monitoring in patients undergoing subacute rehabilitation: a pilot study
Efficacy of pedometer monitoring in rehabilitation
Japan |
Patients admitted to a convalescent rehabilitation ward
Rehabilitation medicine |
Others
NO
To evaluate efficacy and feasibility of step counts monitoring and feedback for improving gait ability
Safety,Efficacy
Change rate of 6 minutes walking distance during intervention period
steps per day, 10 meter walking test,, chair stand test, Berg Balance Scale, Timed Up&Go Test, Falls Efficacy Scale-International
Interventional
Parallel
Randomized
Individual
Single blind -investigator(s) and assessor(s) are blinded
No treatment
NO
NO
Institution is not considered as adjustment factor.
YES
Central registration
2
Treatment
Behavior,custom |
Intervention group
Participants wear a pedometer all day except bath time during study period. The participants are instructed to record steps per day by themselves in a diary, and are given feedbacks about step counts and goal settings weekly. They are encouraged to increase steps per day by 10% compared with the average step counts in the previous week.
All the participants undergo physical therapy and occupational therapy, 60 minutes per day each, 6 days a week throughout the study period.
Control group
Participants wear a pedometer all day except bath time during study period. For the control group, not the participants themselves but examiners record steps per day; and feedbacks about step counts are not given.
All the participants undergo physical therapy and occupational therapy, 60 minutes per day each, 6 days a week throughout the study period.
Not applicable |
Not applicable |
Male and Female
1. Consent to participate in the study
2. Functional Ambulation Category 3 (Dependent, Supervision) or more
3. Mini-Mental State Examination score 24 or more
1. Walking speed less than 0.4m/sec in 10 meter walking test
2. Unable to understand verbal instructions due to aphasia or cognitive dysfunctions
3. Contraindications for encouragement to walk
-Conditions that need rest, i.e. acute phase of vertebral compression fracture, uncontrolled pain due to musculoskeletal diseases
-Respiratory and/or circulatory dysfunction that need restriction of activity
-Other conditions that need restriction of activity
4. Other conditions which physiatrists consider inappropriate to participate in the study
30
1st name | Eri |
Middle name | |
Last name | Otaka |
Kariya Toyota General Hospital
Department of Rehabilitation Medicine
448-8505
5-15 Sumiyoshi-cho, Kariya, Aichi Japan 448-8505
0566-21-2450
eyokohama93@gmail.com
1st name | Eri |
Middle name | |
Last name | Otaka |
Kariya Toyota General Hospital
Department of Rehabilitation Medicine
448-8505
5-15 Sumiyoshi-cho, Kariya, Aichi Japan 448-8505
0566-21-2450
eyokohama93@gmail.com
Kariya Toyota General Hospital
Kariya Toyota General Hospital
Other
Department of Rehabilitation Medicine I, School of Medicine, Fujita Health University
Kariya Toyota General Hospital research ethics committee
5-15 Sumiyoshi-cho, Kariya, Aichi Japan 448-8505
0566-21-2450
KTGH.kouhou@toyota-kai.or.jp
NO
刈谷豊田総合病院(愛知県)
2018 | Year | 05 | Month | 07 | Day |
not available
Published
https://www.frontiersin.org/articles/10.3389/fresc.2023.1050638/full
29
Regarding feasibility outcomes, the data acquisition rate was 94.1% and the number of falls during the observation period was one in the feedback group. Regarding efficacy outcomes, change in 6MD was not significantly greater in the feedback group [mean (standard deviation): 79.1 (51.7) m] than in the no-feedback group [86.1 (65.4) m] (p = 0.774) and the other five secondary outcomes showed no between-group difference.
2023 | Year | 04 | Month | 20 | Day |
A total of 29 participants were randomly assigned to the feedback group (n = 16) or the no-feedback group (n = 13).
The participants characteristics, including the primary disease, are shown in Table 1.
There were no significant differences in the demographic and disease characteristics and baseline assessments between the two groups.
Of these, two participants in the feedback group had missing outcome data due to the failure of the monitoring device. Two other participants, one in the feedback group and one in the no-feedback group, refused to continue receiving the allocated intervention. One participant withdrew because of ankle pain on the unaffected side.
https://www.frontiersin.org/files/Articles/1050638/fresc-04-1050638-HTML/image_m/fresc-04-1050638-t001.jpg
The flow diagram of the participants is shown in Figure 2.
https://www.frontiersin.org/files/Articles/1050638/fresc-04-1050638-HTML/image_m/fresc-04-1050638-g002.jpg
Regarding adverse events, the number of falls during the observational period was zero in the no-feedback group and one in the feedback group, which was calculated as 3.6 per 1,000 person-days fall rate. This fall rate was sufficiently small in comparison with the fall rate in Japanese rehabilitation wards reported previously, ranging from 4.6 (35) to 13.9 (36). No other adverse events were reported.
The primary outcome was the change in the 6-minute walking distance (6MD) during the observational period, that is, from the day the participants were permitted to walk independently in a ward until the day before discharge. As secondary efficacy outcomes, blinded assessors performed a 10-meter walking test, a 30-second chair stand test (31) as a measure of lower muscle power, Berg Balance Scale (32) as a measure of balance (0: worst-56: best), and Timed Up and Go Test (33) to assess functional mobility. The number of steps per day recorded by the Fitbit device was also analyzed as a secondary efficacy outcome.
Regarding feasibility outcomes, two kinds of indicators were assessed. First, the pedometer data acquisition rate, which was calculated as the ratio of the number of days that pedometer data was obtained to the days of the whole observational period, was examined as an indicator of adherence. Secondly, the number of falls during the monitoring period was examined as an indicator of safety as increased activity may result in a greater risk of falling for these fall-prone populations.
Completed
2017 | Year | 12 | Month | 21 | Day |
2017 | Year | 12 | Month | 21 | Day |
2018 | Year | 05 | Month | 07 | Day |
2020 | Year | 03 | Month | 31 | Day |
2020 | Year | 04 | Month | 09 | Day |
2020 | Year | 04 | Month | 09 | Day |
2018 | Year | 04 | Month | 16 | Day |
2023 | Year | 04 | Month | 20 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000036635
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