Table 3

MAPE (Mean absolute prediction error) expressed as a percentage of the average cost of different models based on case-mix systems, using different regression models
Linear regression (OLS) Two-part Hierarchical models
ACG-PM CRG DCG-HCC ACG-PM CRG DCG-HCC ACG-PM CRG DCG-HCC
Recalibration Variables
Age and Sex (A&S) 106.80% 109.09% 106.52%
A&S + Only Dx 92.36% 96.36% 91.26% 114.59% 104.74% 109.74% 95.27% 95.97% 91.52%
A&S + Only Rx 93.57% 91.87% 113.84% 115.74% 93.74% 91.98%
A&S + Dx + Rx 88.41% 87.02% 114.96% 114.44% 89.87% 87.26%
A&S + Dx + Rx + cost percentile 85.99% 87.70% 85.05% 98.52% 96.11% 97.92% 86.97% 87.72% 85.37%
A&S + Dx + Rx + cost percentile + DI 86.02% 87.70% 85.06% 98.49% 96.09% 97.89% 86.97% 87.72% 85.37%

Dx diagnoses, Rx prescriptions, DI Deprivation index.

Orueta et al.

Orueta et al. BMC Health Services Research 2013 13:269   doi:10.1186/1472-6963-13-269

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