Assessing depression improvement with the remission evaluation and mood inventory tool (REMIT).


Journal

General hospital psychiatry
ISSN: 1873-7714
Titre abrégé: Gen Hosp Psychiatry
Pays: United States
ID NLM: 7905527

Informations de publication

Date de publication:
Historique:
received: 11 04 2019
revised: 08 07 2019
accepted: 11 07 2019
pubmed: 22 7 2019
medline: 14 4 2020
entrez: 21 7 2019
Statut: ppublish

Résumé

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. 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. 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. 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.

Identifiants

pubmed: 31325806
pii: S0163-8343(19)30156-2
doi: 10.1016/j.genhosppsych.2019.07.007
pii:
doi:

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S. Validation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

44-49

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Michael A Bushey (MA)

Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, United States. Electronic address: mabushey@iu.edu.

Kurt Kroenke (K)

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.

Fitsum Baye (F)

Department of Biostatistics, Indiana University Fairbanks School of Public Health, Indianapolis, IN, United States.

Spencer Lourens (S)

Department of Biostatistics, Indiana University Fairbanks School of Public Health, Indianapolis, IN, United States.

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