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. 2022 Nov 18;13:1036891. doi: 10.3389/fneur.2022.1036891

Table 5.

Methodological quality of included studies according to the “Quality Assessment Tool for Before-After (Pre-post)”.

Studies made on healthy volunteers Study made on stroke population
Cogiamanian et al. (38) Schabrun et al. (33) Kang et al. (39) Rocchi et al. (40) Tashiro et al. (15)
1. Was the study question or objective clearly stated? Yes Yes Yes Yes Yes
2. Were eligibility/selection criteria for the study population prespecified and clearly described? Yes Yes Yes Yes Yes
3. Were the participants in the study representative of those who would be eligible for the test/service/intervention in the Yes Yes Yes Yes Yes
general or clinical population of interest?
4. Were all eligible participants that met the prespecified entry criteria enrolled? Yes Yes Yes Yes Yes
5. Was the sample size sufficiently large to provide confidence in the findings? No No No No Yes
6. Was the test/service/intervention clearly described and delivered consistently across the study population? Yes Yes Yes Yes Yes
7. Were the outcome measures prespecified, clearly defined, valid, reliable, and assessed consistently across all study Yes Yes No Yes Yes
participants?
8. Were the people assessing the outcomes blinded to the participants' exposures/interventions? Yes Not reported Not reported Not reported Yes
9. Was the loss to follow-up after baseline 20% or less? Were those lost to follow-up accounted for in the analysis? Yes Not reported Yes Yes Yes
10. Did the statistical methods examine changes in outcome measures from before to after the intervention? Were statistical tests were done that provided p-values for the Yes Yes Yes Yes Yes
pre-to-post changes?
11. Were outcome measures of interest taken multiple times before the intervention and multiple times after the intervention (i.e., did they use an interrupted time-series Yes No Yes Yes No
design)?
12. If the intervention was conducted at a group level (e.g., a whole hospital, a community, etc.) did the statistical analysis take into account the use of individual-level data to No NA NA NA NA
determine effects at the group level?
Quality rating Fair Fair Poor Fair Good