From KIDSCREEN-10 to CHU9D: creating a unique mapping algorithm for application in economic evaluation

Table 5 Mapping equations from KIDSCREEN-10 index to UK Child Health Utility 9D utility scores

	Ordinary least squares estimator		Censored least absolute deviations estimator		MM-estimator		Generalised linear model
	Coeff.	SE^†	Coeff.	SE^†	Coeff.	SE^†	Coeff.	SE^†
Model 1
KS	0.032434	0.004171*	0.029623	0.004257*	0.032500	0.004142*	0.082786	0.007694*
KS²	−0.000249	0.000041*	−0.000218	0.000045*	−0.000246	0.000041*
Constant	−0.075688	0.102939	−0.006549	0.097355	−0.077689	0.102295	−1.749110	0.316079*
Model 2
KS_I1	0.026771	0.006051*	0.025167	0.008471*	0.022931	0.007461*	0.257334	0.038624*
KS_I2	0.010975	0.005552*	0.022333	0.006579*	0.018505	0.006152*
KS_I3	0.029050	0.006725*	0.028383	0.007295*	0.022030	0.006130*	0.298660	0.038848*
KS_I4	0.015820	0.005122*	0.015550	0.006502*	0.014684	0.005477*
KS_I9	0.013502	0.005639*	0.025567	0.004682*	0.023993	0.004852*
KS_I10	0.020093	0.007056*			0.012365	0.006212*	0.271802	0.037553*
Constant	0.437368	0.024759*	0.440167	0.032133*	0.451961	0.024881*	−1.080010	0.162497*

Note: Predicted utility values are for the UK scoring algorithm of the Child Health Utility 9D based on adult values elicited using standard gamble.
^†Heteroskedasticity robust standard errors. *significant at 5%. For generalised linear model, binomial family and logit link were used.
KS – the KIDSCREEN-10 index; KS_I1 – “fit and well”, KS_I2 – “energy”, KS_I3 – “sad”, KS_I4 – “lonely”, KS_I9 – “got on well at school”, KS_I10 – “been able to pay attention”.

ISSN: 1477-7525