Michael A Bushey1, Kurt Kroenke2, Fitsum Baye3, Spencer Lourens3. 1. Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, United States. Electronic address: mabushey@iu.edu. 2. VA HSR&D Center for Health Information and Communication, Roudebush VA Medical Center, Indianapolis, IN, United States; Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States; Regenstrief Institute, Inc., Indianapolis, IN, United States. 3. Department of Biostatistics, Indiana University Fairbanks School of Public Health, Indianapolis, IN, United States.
Abstract
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.
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.
Authors: Robert M Bossarte; Ronald C Kessler; Andrew A Nierenberg; Ambarish Chattopadhyay; Pim Cuijpers; Angel Enrique; Phyllis M Foxworth; Sarah M Gildea; Bea Herbeck Belnap; Marc W Haut; Kari B Law; William D Lewis; Howard Liu; Alexander R Luedtke; Wilfred R Pigeon; Larry A Rhodes; Derek Richards; Bruce L Rollman; Nancy A Sampson; Cara M Stokes; John Torous; Tyler D Webb; Jose R Zubizarreta Journal: Trials Date: 2022-06-20 Impact factor: 2.728
Authors: Kurt Kroenke; Timothy E Stump; Chen X Chen; Jacob Kean; Teresa M Damush; Matthew J Bair; Erin E Krebs; Patrick O Monahan Journal: Health Qual Life Outcomes Date: 2021-02-04 Impact factor: 3.186