Abstract
Objective: Studies suggest that people with major depressive disorder (MDD) often receive treatment that is not concordant with practice guidelines. To evaluate this, we (1) developed a guideline concordance algorithm for MDD pharmacotherapy (GCA-8), (2) scored it using clinical data, and (3) compared its explanation of patient-reported symptom severity to a traditional concordance measure. Methods: This study evaluated 1,403 adults (67% female, 85% non-Hispanic/ Latino White, mean age 43 years) with non-psychotic MDD (per ICD-10 codes), from the Penn State Psychiatry Clinical Assessment and Rating Evaluation System (PCARES) registry (visits from February 1, 2015, to April 13, 2021). We (1) scored 1-year concordance using the Canadian Network for Mood and Anxiety Treatments (CANMAT) guidelines and deviation from 8 pharmacotherapy-related criteria and (2) examined associations between concordance and Patient Health Questionnaire depression module (PHQ-9) scores. Results: The mean GCA-8 score was 6.37 (standard deviation [SD]=1.30; 8.00=perfect concordance). Among those who switched drugs (n=671), 81% (n=542) did not have their dose increased to the recommended maximum before switching. In our adjusted analyses, we found that a 1 SD increase in the GCA-8 was associated with a 0.78 improvement in the mean PHQ-9 score (P<.001). The comparison concordance measure was not associated with the mean PHQ-9 score (β=−0.20; P=.20; R2=0.53), and adding the GCA-8 score significantly improved the model (R2=0.54; Vuong test P=.008). Conclusions: By measuring naturalistic MDD pharmacotherapy guideline concordance with the GCA-8, we revealed potential treatment gaps and an inverse association between guideline concordance and MDD symptom severity.
| Original language | English (US) |
|---|---|
| Journal | Journal of Clinical Psychiatry |
| Volume | 85 |
| Issue number | 1 |
| State | Published - Mar 2024 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Psychiatry and Mental health
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