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Table 8 The proportions of participants with performance improvement exceeding MCIDs/MDCs

From: Augmented reality for stroke rehabilitation during COVID-19

Outcome

MCID/MDC

PP analysis (n=39)

ITT analysis (n=84)

  

AR-Centre (n = 23)

AR-Home (n = 16)

AR-Centre (n = 59)

AR-Home (n = 25)

  

% Post-pre > MCID

% Post-pre > MCID

% Post-pre > MCID

% Post-pre > MCID

FMA-UE

5.25 (MCID) [49]

34.78%

37.50%

13.56%

12.00%

FMA-LE

3.57 (MDC) [52]

52.17%

62.50%

20.34%

40.00%

BBS

2.7 (MDC) [53]

43.48%

37.50%

16.95%

24.00%

FAC

4\(^*\)

4.35%

6.25%

1.69%

4.00%

BI

1.85 (MCID) [50]

N/A

37.50%

N/A

24.00%

SF-12v2 PCS

2.5 (MCID) [51]

47.83%

68.75%

18.64%

44.00%

SF-12v2 MCS

10\(^{**}\)

30.43%

12.50%

11.86%

8.00%

  1. FMA Fugl-Meyer Assessment, FMA-UE FMA for Upper-Extremity, FMA-LE FMA for Lower-Extremity, BBS Berg Balance Scale, FAC Functional Ambulation Category, BI Barthel Index of Activities of Daily Living, SF-12v2 The 12-Item Short Form Health Survey (PCS = Physical Component Summary and MCS = Mental Component Summary), MCID minimal clinically important difference, MDC minimally detectable change
  2. \(^*\) A threshold of 4 was used. A participant’s performance gain on FAC is clinically significant if and only if she was with limited mobility in the baseline assessment (FAC \(<4\)) and become an independent walker after the trials (post-assessment FAC \(\ge\)4) [54]
  3. \(^{**}\) 10% of the maximum was used as the threshold