Table 6.
Limitations and caveats of multidimensional measures
| Interpretation may not be straightforward, particularly if clinical relevance of (some) components are not immediately obvious |
| An overall score lacks a clear dimension, which complicates the interpretability of the score |
| Components should be normalized or weighted without obscuring the clinical meaning |
| Components may shift in opposite directions (improvement vs harm) which might obscure interpretation of treatment efficacy |
| Components should capture the expected (biological) effects of the intervention under investigation |
| Increasing the number of components not necessarily increases sensitivity |
| Redundant components might cause a large change in the composite score in patients that have symptoms in that domain, while the change may be smaller or absent in patients with symptoms in other domains |
| Increasing sensitivity to change does not necessarily lead to higher sensitivity for treatment effects |
| Dichotomization of the results (e.g. ‘no evidence of disease activity’) will inherently cause loss of information |