Our mapping algorithm was designed to estimate EQ-5D scores using the scores and standard errors in all five domains of the SAQ. 9 An important limitation is that we had to exclude studies that did not publish scores on all five domains of the SAQ.
With regard to distribution-based methods, we used the score's standard error of measurement, the score's standard deviation multiplied by the square root of 1 minus Cronbach's alpha [ 29, 30], and multiples of the score's standard deviation: 0.5, 0.20, 0.30, and 0.33 [ 23, 27- 29, 31] to calculate MID.
However, we have also presented our results using the standard scoring system 0-1000 scores), to enable comparisons with these previous studies.
Using the standard scoring algorithm [ 17], scales scores are linearly transformed to range from 0 to 100, with higher scores representing better health status.
The standard norm-based scoring (NBS) of eight health domains and summary components were obtained using the standard scoring algorithms (United States weights).
The performance of the score model became radically worse when morbidity risk in our ICU patients was discriminated using the standard scoring system, as originally proposed by Higgins et al. [ 11].
Using the standard scoring algorithm from RAND Corporation, eight conceptual attributes (subscales) are calculated by averaging values of 35 of the 36 ordinal scale items.
A notable proportion, 37%, of our focus group participants had scores on the CES-D suggestive of significantly depressed mood, using the standard score cut-off of 16.
The summary scores of PCS-12 and MCS-12, which were derived by the weighted sum of 12 items scores using the US standard SF-12 scoring algorithm [ 14], were considered as the primary outcomes of this study.
