. 2023 Feb 23;32(7):1909–1923. doi: 10.1007/s11136-023-03359-4

Table 3.

Best mapping equations from PedsQL to CHU9D utility scores

Variable	Total score model			Dimension score model			Item model
Variable	Parameter	SE	p	Parameter	SE	p	Parameter	SE	p
Constant	0.58679	0.04551	< .0001	0.58625	0.04064	< .0001	0.50166	0.03533	< .0001
Age	− 0.00272	0.00115	0.0178	− 0.00232	0.00105	0.0281	− 0.00160	0.00111	0.1516
PedsQL total	0.00484	0.00130	0.0002
PedsQL total²	− 0.00001	0.00001	0.4056
Physical dimension				− 0.00150	0.00106	0.1589
Emotional dimension				0.00570	0.00073	< .0001
School dimension				0.00106	0.00022	< .0001
Social dimension				0.00012	0.00104	0.9115
Physical dimension²				0.00002	0.00001	0.0404
Emotional dimension²				− 0.00002	0.00001	< .0001
Social dimension²				0.00000	0.00001	0.0281
Item 3							− 0.00028	0.00048	0.5635
Item 4							− 0.00023	0.00015	0.1355
Item 5							− 0.00021	0.00013	0.1009
Item 6							− 0.00008	0.00046	0.8585
Item 7							0.00163	0.00050	0.0012
Item 8							0.00067	0.00016	< .0001
Item 9							0.00213	0.00064	0.0009
Item 10							− 0.00027	0.00078	0.7265
Item 11							0.00157	0.00054	0.0037
Item 12							0.00111	0.00052	0.0329
Item 13							− 0.00087	0.00060	0.1452
Item 14							− 0.00088	0.00051	0.0822
Item 15							0.00149	0.00074	0.0456
Item 17							− 0.00084	0.00061	0.1662
Item 19							− 0.00090	0.00047	0.0546
Item 20							0.00165	0.00056	0.0031
Item 21							− 0.00015	0.00048	0.7557
Item 23							0.00186	0.00067	0.0061
Item 3²							0.000003	0.00000	0.3660
Item 6²							0.000003	0.00000	0.3876
Item 7²							− 0.00001	0.00000	0.0047
Item 9²							− 0.00001	0.00000	0.0057
Item 10²							0.000004	0.00001	0.4870
Item 11²							− 0.00001	0.00000	0.0460
Item 12²							− 0.000005	0.00000	0.2321
Item 13²							0.00001	0.00000	0.0788
Item 14²							0.00001	0.00000	0.2117
Item 15²							− 0.00001	0.00001	0.0782
Item 17²							0.00001	0.00000	0.1240
Item 19²							0.00001	0.00000	0.0518
Item 20²							− 0.00001	0.00000	0.0109
Item 21²							0.000004	0.00000	0.2700
Item 23²							− 0.00001	0.00000	0.0485

Variables selected based on AIC criterion and models estimated using OLS. The estimation sample was used (N = 674). See Table S2 for a listing of the PedsQL items included in the CYPHP mappings. To use these mappings, parameter estimates should be multiplied by the observed demographic and PedsQL score values. For example, the CHU9D value for a 10-year-old individual, with a total PedsQL score of 75 would be equal to 0.58679 + (− 0.00272 * 10) + (0.00484 * 75) + (− 0.00001 * 75²) = 0.866