RT Journal Article
SR Electronic
T1 Prediction of Primary Care Depression Outcomes at Six Months: Validation of DOC-6 ©
JF The Journal of the American Board of Family
                Medicine
JO J Am Board Fam Med
FD American Board of Family Medicine
SP 281
OP 287
DO 10.3122/jabfm.2017.03.160313
VO 30
IS 3
A1 Angstman, Kurt B.
A1 Garrison, Gregory M.
A1 Gonzalez, Cesar A.
A1 Cozine, Daniel W.
A1 Cozine, Elizabeth W.
A1 Katzelnick, David J.
YR 2017
UL http://www.jabfm.org/content/30/3/281.abstract
AB Background: The goal of this study was to develop and validate an assessment tool for adult primary care patients diagnosed with depression to determine predictive probability of clinical outcomes at 6 months.Methods: We retrospectively reviewed 3096 adult patients enrolled in collaborative care management (CCM) for depression. Patients enrolled on or before December 31, 2013, served as the training set (n = 2525), whereas those enrolled after that date served as the preliminary validation set (n = 571).Results: Six variables (2 demographic and 4 clinical) were statistically significant in determining clinical outcomes. Using the validation data set, the remission classifier produced the receiver operating characteristics (ROC) curve with a c-statistic or area under the curve (AUC) of 0.62 with predicted probabilities than ranged from 14.5% to 79.1%, with a median of 50.6%. The persistent depressive symptoms (PDS) classifier produced an ROC curve with a c-statistic or AUC of 0.67 and predicted probabilities that ranged from 5.5% to 73.1%, with a median of 23.5%.Conclusions: We were able to identify readily available variables and then validated these in the prediction of depression remission and PDS at 6 months. The DOC-6 tool may be used to predict which patients may be at risk for worse outcomes.