Conversion of NIHSS index and item scores to QALY-weights The index-based NIHSS algorithm failed to reach statistical significance at the 0.05 level in the full study sample (F = 1.35, df = (2,595), p = 0.259).
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Can we derive an 'exchange rate' between descriptive and preference-based outcome measures for stroke? Results from the transfer to utility (TTU) technique.
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While mean predicted AQoL utility scores from the index-based severity-specific Barthel algorithms were not significantly different from their corresponding mean observed scores at the 0.05 level in NIHSS = 0 (t = 1.578, p = 0.115), NIHSS = 1–5 (t = -1.840, p = 0.066) and NIHSS ≥ 6 subgroup (t = -0.360, p = 0.719) subgroups, differences approaching clinical significance were observed for the NIHSS = 1–5 subgroup.