AQoL 7D utility predicted from VisQoL data
Obtaining VisQoL score and predicted AQoL-7D utility
The VisQoL is a six item dimension (items 21, 22, 23, 24, 25 26) for measuring the quality of life associated with visual impairment.
Please read the below carefully:
- If you have the data for all 26 items of the AQoL-7D, this algorithm will produce a VisQoL Dimension Value plus an AQoL-7D utility plus values for all the dimensions.
- If you have the raw data for only the 6 VisQoL items this algorithm will produce a Visqol Dimension Value. You can then obtain a predicted AQoL-7D Utility by inserting the VisQoL Dimension Value into equation A or by inserting the raw scores into equation B.
- If you have only the VisQoL Dimension Value (and no raw data) insert it into equation A to produce a predicted AQoL-7D utility.
Alternately, using the 5 raw scores in equation B (The score for item 24 is insignificant)
AQoL-7D Predicted utility = exp (-0.007715 – (0.028823 x aqol21) – (0.056232 x aqol22) – (0.027130 x aqol23) – (0.039109 x aqol25) – (0.038673 x aqol26))
Note: If you are experiencing any problem in executing the algorithm please contact the AQoL team.
Richardson, Iezzi, Peacock, Sinha, Khan, Misajon and Keefe. (2012) Utility weights for the Vision-related Assessment of Quality of Life (AQoL) 7D instrument. Opthalmic Epidemiology, 19:3, 172-182. doi: 10.3109/09286586.2012.674613