Literature DB >> 20346195

Estimating probability of sustained recovery from mild to moderate depression in primary care: evidence from the THREAD study.

C Dowrick1, C Flach, M Leese, J Chatwin, R Morriss, R Peveler, M Gabbay, R Byng, M Moore, A Tylee, T Kendrick.   

Abstract

BACKGROUND: It is important for doctors and patients to know what factors help recovery from depression. Our objectives were to predict the probability of sustained recovery for patients presenting with mild to moderate depression in primary care and to devise a means of estimating this probability on an individual basis.
METHOD: Participants in a randomized controlled trial were identified through general practitioners (GPs) around three academic centres in England. Participants were aged >18 years, with Hamilton Depression Rating Scale (HAMD) scores 12-19 inclusive, and at least one physical symptom on the Bradford Somatic Inventory (BSI). Baseline assessments included demographics, treatment preference, life events and difficulties and health and social care use. The outcome was sustained recovery, defined as HAMD score <8 at both 12 and 26 week follow-up. We produced a predictive model of outcome using logistic regression clustered by GP and created a probability tree to demonstrate estimated probability of recovery at the individual level.
RESULTS: Of 220 participants, 74% provided HAMD scores at 12 and 26 weeks. A total of 39 (24%) achieved sustained recovery, associated with being female, married/cohabiting, having a low BSI score and receiving preferred treatment. A linear predictor gives individual probabilities for sustained recovery given specific characteristics and probability trees illustrate the range of probabilities and their uncertainties for some important combinations of factors.
CONCLUSIONS: Sustained recovery from mild to moderate depression in primary care appears more likely for women, people who are married or cohabiting, have few somatic symptoms and receive their preferred treatment.

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Mesh:

Year:  2010        PMID: 20346195     DOI: 10.1017/S0033291710000437

Source DB:  PubMed          Journal:  Psychol Med        ISSN: 0033-2917            Impact factor:   7.723


  4 in total

1.  Association of Patient Treatment Preference With Dropout and Clinical Outcomes in Adult Psychosocial Mental Health Interventions: A Systematic Review and Meta-analysis.

Authors:  Emma Windle; Helena Tee; Alina Sabitova; Nikolina Jovanovic; Stefan Priebe; Catherine Carr
Journal:  JAMA Psychiatry       Date:  2020-03-01       Impact factor: 21.596

2.  Prognostic models for predicting relapse or recurrence of major depressive disorder in adults.

Authors:  Andrew S Moriarty; Nicholas Meader; Kym Ie Snell; Richard D Riley; Lewis W Paton; Carolyn A Chew-Graham; Simon Gilbody; Rachel Churchill; Robert S Phillips; Shehzad Ali; Dean McMillan
Journal:  Cochrane Database Syst Rev       Date:  2021-05-06

3.  Understanding the non-pharmacological correlates of self-reported efficacy of antidepressants.

Authors:  J Read; K Gibson; C Cartwright; C Shiels; C Dowrick; M Gabbay
Journal:  Acta Psychiatr Scand       Date:  2015-01-09       Impact factor: 6.392

4.  Target-D: a stratified individually randomized controlled trial of the diamond clinical prediction tool to triage and target treatment for depressive symptoms in general practice: study protocol for a randomized controlled trial.

Authors:  Jane Gunn; Caroline Wachtler; Susan Fletcher; Sandra Davidson; Cathrine Mihalopoulos; Victoria Palmer; Kelsey Hegarty; Amy Coe; Elizabeth Murray; Christopher Dowrick; Gavin Andrews; Patty Chondros
Journal:  Trials       Date:  2017-07-20       Impact factor: 2.279

  4 in total

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