Browsing by Subject "measurement-based care"

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    Assessing Depression Improvement with the Remission Evaluation and Mood Inventory Tool (REMIT)
    (Elsevier, 2019-09) Bushey, Michael A.; Kroenke, Kurt; Baye, Fitsum; Lourens, Spencer; Psychiatry, School of Medicine
    Objective The Remission Evaluation and Mood Inventory Tool (REMIT) was developed as a brief complementary measure to provide a more robust assessment of depression improvement than tracking DSM-V symptom improvement alone. This study provides further validation of the REMIT tool and examines its utility in predicting depression improvement. Methods The sample comprised 294 primary care patients enrolled in a telecare trial of pain plus depression and/or anxiety. Assessments collected included: REMIT, PHQ-9 and measures assessing anxiety, pain, sleep, fatigue, somatization, health-related quality of life and disability. Data was analyzed to assess the REMIT's validity, its minimally important difference (MID), and its utility in predicting 6-month depression improvement. Results Convergent and construct validity of REMIT was supported by moderate correlations with mental health measures and weaker correlation with physical health measures. MID of approximately 2 points for REMIT was estimated by two metrics: 0.5 standard deviation and 1 standard error of measurement. Both baseline and 3-month change in REMIT scores predicted depression improvement at 6 months. Indeed, REMIT was as good or better predictor than the PHQ-9. Conclusion The REMIT measure is a brief 5-item tool that augments core DSM-V symptom-oriented metrics in assessing and predicting recovery from major depression.