Table 1.

Checklist used for the assessment of clinimetric properties of the studies included in the review

Clinimetric property	Definition	Criteria
Reproducibility	Degree to which repeated measurements in stable persons provide similar answers	K: nominal/ordinal data ICC: ordinal/parametric data
Reliability	The extent to which patients can be distinguished from each other, despite measurement error	+ Adequate design, method; intraobserver ICC > 0.85 or K > 0.41; interobserver ICC >0.70 or K>0.61 ± Information unclear or method doubtful - Adequate design, method; intraobserver ICC < 0.85 or K < 0.40; interobserver ICC < 0.70 or K < 0.60 ? No information found
Agreement	The ability to achieve the same value with repeated measurements	Limits of agreement, SEM or SDC are presented + Sufficient information, bias unlikely ± Information unclear or method doubtful - Information sufficient, instrument did not meet criteria ? No information
Construct validity	The extent to which a test actually measures the concept or trait which is being measured	Pearson's R or Spearman Rho + Adequate design, method; r >0.65 ± Information unclear or method doubtful - Information sufficient, instrument did not meet criteria ? No information
Responsiveness	Ability of an instrument to detect important change over time in the concept being measured	Hypotheses were formulated and results are in agreement + Adequate design, method; intraobserver ICC > 0.85 or K > 0.41; interobserver ICC >0.70 or K>0.61 ± Information unclear or method doubtful - Adequate design, method; intraobserver ICC < 0.85 or K < 0.40; interobserver ICC < 0.70 or K < 0.60 ? No information
Interpretability	The degree to which one can assign qualitative meaning to quantitative scores	Authors provided information on the interpretation of scores, MIC-defined Mean and SD scores before and after treatment

* K = Kappa statistics; ICC = intraclass correlation coefficient, SEM = standard error of measurement, SDC = smallest detectable change, MIC = minimal important change, and SD = standard deviation