Fig. 2: SDoH variable importance in prediction of quality care gaps. | npj Digital Medicine

Fig. 2: SDoH variable importance in prediction of quality care gaps.

From: Predicting quality measure completion among 14 million low-income patients enrolled in medicaid

Fig. 2

APRN (advanced practice registered nurse), TANF (Temporary Assistance for Needy Families), SSI (Supplement Security Income), SSDI (Social Security Disability Insurance), AMM (antidepressant medication management), PBH (persistence of beta-blocker treatment after a heart attack), SPC (statin therapy for patients with cardiovascular disease), SPD (statin therapy for patients with diabetes), PCR (all-cause hospital readmissions), LBP (avoidance of unnecessary imaging for routine lower back pain), FUM30 (follow-up after emergency department visits for mental illness), PPC (prenatal and postpartum care visits), WCV (child and adolescent well-care visits). Variable importance for predicting quality care gaps: individual-level SDoH (panel a), healthcare access SDoH (panel b), and area-level SDoH (panel c).Variable importance values range from 0 to 1, with higher values indicating greater contribution to model predictions.

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