Table 3 –

Classification performance for competing prediction models using data available from either claims or electronic health records (EHRs) vs. only data typically available from insurance claims.

ALL MENTAL HEALTH ENCOUNTERS
Percentile Cut-point	Predicted Risk Cut-point	Sensitivity		Positive Predictive Value
		EHR and Claims	Claims only	EHR and Claims	Claims only
50%	0.002	0.924	0.920	0.012	0.012
75%	0.006	0.787	0.788	0.020	0.020
90%	0.014	0.566	0.567	0.036	0.036
95%	0.023	0.422	0.423	0.053	0.053
99%	0.073	0.173	0.167	0.107	0.107
99.5%	0.097	0.115	0.108	0.139	0.139
LIMITED TO HEALTH SYSTEMS AND YEARS WITH >50% RECORDING OF PHQ-9 RESULTS
Percentile Cut-point	Predicted Risk Cut-point	Sensitivity		Positive Predictive Value
		EHR and Claims	Claims only	EHR and Claims	Claims only
50%	0.003	0.956	0.916	0.015	0.017
75%	0.007	0.853	0.779	0.026	0.029
90%	0.016	0.624	0.555	0.046	0.050
95%	0.026	0.436	0.402	0.064	0.073
99%	0.093	0.176	0.162	0.153	0.151
99.5%	0.133	0.099	0.107	0.195	0.190