Literature DB >> 26067572

Dropout from individual psychotherapy for major depression: A meta-analysis of randomized clinical trials.

Andrew A Cooper1, Laren R Conklin2.   

Abstract

Dropout from mental health treatment poses a substantial problem, but rates vary substantially across studies and diagnoses. Focused reviews are needed to provide more detailed estimates for specific areas of research. Randomized clinical trials involving individual psychotherapy for unipolar depression are ubiquitous and important, but empirical data on average dropout rates from these studies is lacking. We conducted a random-effects meta-analysis of 54 such studies (N=5852) including 80 psychotherapy conditions, and evaluated a number of predictors of treatment- and study-level dropout rates. Our overall weighted dropout estimates were 19.9% at the study level, and 17.5% for psychotherapy conditions specifically. Therapy orientation did not significantly account for variance in dropout estimates, but estimates were significantly higher in psychotherapy conditions with more patients of minority racial status or with comorbid personality disorders. Treatment duration was also positively associated with dropout rates at trend level. Studies with an inactive control comparison had higher dropout rates than those without such a condition. Limitations include the inability to test certain potential predictors (e.g., socioeconomic status) due to infrequent reporting. Overall, our findings suggest the need to consider how specific patient and study characteristics may influence dropout rates in clinical research on individual therapy for depression.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Dropout; Major depression; Meta-analysis; Outpatient; Psychotherapy

Mesh:

Year:  2015        PMID: 26067572     DOI: 10.1016/j.cpr.2015.05.001

Source DB:  PubMed          Journal:  Clin Psychol Rev        ISSN: 0272-7358


  41 in total

1.  What we know, what we do not know, and where are we heading? Efficacy and acceptability of psychological interventions for depression.

Authors:  N Solomonov; J P Barber
Journal:  Epidemiol Psychiatr Sci       Date:  2015-09-28       Impact factor: 6.892

2.  Efficacy of digital CBT for insomnia to reduce depression across demographic groups: a randomized trial.

Authors:  Philip Cheng; Annemarie I Luik; Cynthia Fellman-Couture; Edward Peterson; Christine L M Joseph; Gabriel Tallent; Kieulinh Michelle Tran; Brian K Ahmedani; Timothy Roehrs; Thomas Roth; Christopher L Drake
Journal:  Psychol Med       Date:  2018-05-24       Impact factor: 7.723

3.  The waiting list is an inadequate benchmark for estimating the effectiveness of psychotherapy for depression.

Authors:  Ioana A Cristea
Journal:  Epidemiol Psychiatr Sci       Date:  2018-11-27       Impact factor: 6.892

Review 4.  Advances in Drug Discovery and Development in Geriatric Psychiatry.

Authors:  Alexander C Conley; Paul A Newhouse
Journal:  Curr Psychiatry Rep       Date:  2018-03-05       Impact factor: 5.285

5.  Patterns of care and dropout rates from outpatient mental healthcare in low-, middle- and high-income countries from the World Health Organization's World Mental Health Survey Initiative.

Authors:  Daniel Fernández; Daniel Vigo; Nancy A Sampson; Irving Hwang; Sergio Aguilar-Gaxiola; Ali O Al-Hamzawi; Jordi Alonso; Laura Helena Andrade; Evelyn J Bromet; Giovanni de Girolamo; Peter de Jonge; Silvia Florescu; Oye Gureje; Hristo Hinkov; Chiyi Hu; Elie G Karam; Georges Karam; Norito Kawakami; Andrzej Kiejna; Viviane Kovess-Masfety; Maria E Medina-Mora; Fernando Navarro-Mateu; Akin Ojagbemi; Siobhan O'Neill; Marina Piazza; Jose Posada-Villa; Charlene Rapsey; David R Williams; Miguel Xavier; Yuval Ziv; Ronald C Kessler; Josep M Haro
Journal:  Psychol Med       Date:  2020-04-28       Impact factor: 7.723

6.  Future Directions of Training and Fieldwork in Diversity Issues in Applied Behavior Analysis.

Authors:  Brian Conners; Ashlynn Johnson; Jacqueline Duarte; Ranim Murriky; Kevin Marks
Journal:  Behav Anal Pract       Date:  2019-04-08

Review 7.  Internet-Based Cognitive-Behavioral Therapy for Depression: Current Progress and Future Directions.

Authors:  Christian A Webb; Isabelle M Rosso; Scott L Rauch
Journal:  Harv Rev Psychiatry       Date:  2017 May/Jun       Impact factor: 3.732

8.  Efficacy of Guided iCBT for Depression and Mediation of Change by Cognitive Skill Acquisition.

Authors:  Nicholas R Forand; Jeffrey G Barnett; Daniel R Strunk; Mohammed U Hindiyeh; Jason E Feinberg; John R Keefe
Journal:  Behav Ther       Date:  2017-05-01

9.  The impact of race and ethnicity on rates of return to psychotherapy for depression.

Authors:  John E Zeber; Karen J Coleman; Heidi Fischer; Tae K Yoon; Brian K Ahmedani; Arne Beck; Samuel Hubley; Zac E Imel; Rebecca C Rossom; Susan M Shortreed; Christine Stewart; Beth E Waitzfelder; Greg E Simon
Journal:  Depress Anxiety       Date:  2017-11-02       Impact factor: 6.505

10.  An intervention for parents with severe personality difficulties whose children have mental health problems: a feasibility RCT.

Authors:  Crispin Day; Jackie Briskman; Mike J Crawford; Lisa Foote; Lucy Harris; Janet Boadu; Paul McCrone; Mary McMurran; Daniel Michelson; Paul Moran; Liberty Mosse; Stephen Scott; Daniel Stahl; Paul Ramchandani; Timothy Weaver
Journal:  Health Technol Assess       Date:  2020-03       Impact factor: 4.014

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