Background: Since 2011, an algorithmically-designed test for adult major depressive disorder (AMD Test) has been used to score level of depression, provide approximated scores for several common instruments (MDI, etc.) and track treatment effectiveness. Patients, by e-tablet, answer 15-50 questions (# depends on symptom severity), in 2-4 minutes.
Methods: Using EMRs from 3 clinics (2:TX; 1:CO), test and control groups were established out of a census of 487 adult patients who took the AMD Test ≥2 times since 2011. De-identified patient data, prior/new treatments, date of depression diagnosis (ICD9 311) and visit dates were merged with AMD Test scores. For the Test Group (TG) (N=90), visit one was when first diagnosis/treatment of depression were undertaken, with treatment ongoing at visit two. Two control groups were used. Control Group (CG) 1 (N=20): never diagnosed/treated for depression. CG 2 (N=89): prior diagnosis and ongoing treatment of depression. SPSS used for statistical analyses.
Results: For TG patients, AMD Test scores decreased from 82±28 (moderate) to 52±36 (mild) (P<.001). Strong Pearson correlations were found between number of test questions and scores at both visits (r=.445 and .832). For control groups, AMD Test scores were normal (CG 1) or close to normal (CG 2). For all groups/visit 1, strong correlations (r≥.908) were found between AMD Test scores and approximated scores for MDI, Zung-SDS, MADRS, CES-D and HAM-D.
Conclusions: Based on Test/Control Groups comparison results from census data, the AMD Test may be a generally valid and reliable instrument for diagnosing and monitoring depression.