Table 6 Results of all the RCTs which explored the effect of mobile app types on activities of daily living
From: Effect of mobile application types on stroke rehabilitation: a systematic review
| Â | Author, year | Measure | Results | Study conclusion |
|---|---|---|---|---|
Therapy apps | Grau-Pellicer et al., 2020 | BI | IG 97.50 ± 5.40, CG 84.62 ± 14.21 Difference: 12.88 ± 8.81, p = 0.013 | Post-intervention, the IG improved from mildly dependent to independent for ADLs whereas the CG remained mildly dependent for ADLs |
Knoche et al., 2016 | FIM Motor | No data reported | No significant effects of WAM play time on FIM motor or FIM cognitive scores | |
FIM Cognitive | No data reported | |||
Prokopenko et al., 2013 | iADL scale | IG: 20.5 [13, 24] 20.5 [18, 24], p = 0.1 CG: 17 [13, 20] 16 [14.5,21], p = 0.123 | No significant changes found in the IADLs, possibly due to the short study period and small sampling | |
Rehab videos | Chung et al., 2020 | Δ mBI | IG 20.9 ± 13.9, CG 19.4 ± 13.1, p = 0.808 | Exercise videos were not superior to paper-based exercise programs for basic ADL gain for patients |
Rehab videos + reminders | Kamal et al., 2020 | % treatment arm BI: 0–50 | Base: IG 50.3%, CG 50.3%, p = 0.94 6-months: IG 16.3%, CG 17.8%, p = 0.16 1-year: IG 14.0%, CG 18.3%, p = 0.35 | Baseline IG and CG had equal % of participants with total to severe dependency for ADLs. At 6 and 12 months, a smaller percentage of the IG had total to severe dependency compared to the CG |