Literature DB >> 30855297

Depression: more treatment but no drop in prevalence: how effective is treatment? And can we do better?

Johan Ormel1, Ronald C Kessler2, Robert Schoevers1.   

Abstract

PURPOSE OF REVIEW: Since the 70s, treatment of depression, especially pharmacologically, has expanded enormously. However, epidemiological studies show that 12-month population prevalence rates have not dropped. This observation raises multiple questions. How good are treatments of depression actually? Do they improve long-term outcomes? Have the treatment gaps narrowed? And how can we make mental healthcare more effective at the population level? RECENT
FINDINGS: Recent publications suggest some answers. Controlled treatment trials show that effectiveness of specific treatments (pharmacological, psychological) is modest and probably overestimated owing to substantial spontaneous recovery and nonspecific therapeutic effects. Treatment gaps are still substantial and prevention has unclear long-term effects and is not structurally embedded. Future relevance of genetic information for better personalized treatment is potentially high but uncertain. Increasingly, the potential of treatment to improve long-term outcome is being questioned.
SUMMARY: To reduce prevalence, it is essential to narrow the treatment gaps, provide timely interventions and high-quality treatment, eradicate waiting lists, prescribe antidepressants more cautiously and better managed, consider psychological alternatives, and provide more psychosocial treatment in primary care with physician-assistants. In addition, research is needed on long-term outcome of different treatment modalities, and least but not last the value of structurally socially embedded preventive interventions.

Entities:  

Mesh:

Substances:

Year:  2019        PMID: 30855297     DOI: 10.1097/YCO.0000000000000505

Source DB:  PubMed          Journal:  Curr Opin Psychiatry        ISSN: 0951-7367            Impact factor:   4.741


  8 in total

1.  An Integrated Sleep and Reward Processing Model of Major Depressive Disorder.

Authors:  Elaine M Boland; Jennifer R Goldschmied; Emily Wakschal; Robin Nusslock; Philip R Gehrman
Journal:  Behav Ther       Date:  2020-01-13

2.  Anxiety-Related Frontocortical Activity Is Associated With Dampened Stressor Reactivity in the Real World.

Authors:  Juyoen Hur; Manuel Kuhn; Shannon E Grogans; Allegra S Anderson; Samiha Islam; Hyung Cho Kim; Rachael M Tillman; Andrew S Fox; Jason F Smith; Kathryn A DeYoung; Alexander J Shackman
Journal:  Psychol Sci       Date:  2022-06-03

3.  Hierarchical Structure of Depression Knowledge Network and Co-word Analysis of Focus Areas.

Authors:  Qingyue Yu; Zihao Wang; Zeyu Li; Xuejun Liu; Fredrick Oteng Agyeman; Xinxing Wang
Journal:  Front Psychol       Date:  2022-05-19

4.  Multifactorial prediction of depression diagnosis and symptom dimensions.

Authors:  Mary E McNamara; Jason Shumake; Rochelle A Stewart; Jocelyn Labrada; Alexandra Alario; John J B Allen; Rohan Palmer; David M Schnyer; John E McGeary; Christopher G Beevers
Journal:  Psychiatry Res       Date:  2021-02-13       Impact factor: 3.222

5.  Fecal Microbiota Transplantation (FMT) as an Adjunctive Therapy for Depression-Case Report.

Authors:  Jessica P K Doll; Jorge F Vázquez-Castellanos; Anna-Chiara Schaub; Nina Schweinfurth; Cedric Kettelhack; Else Schneider; Gulnara Yamanbaeva; Laura Mählmann; Serge Brand; Christoph Beglinger; Stefan Borgwardt; Jeroen Raes; André Schmidt; Undine E Lang
Journal:  Front Psychiatry       Date:  2022-02-17       Impact factor: 4.157

6.  Road Traffic Noise Exposure and Depression/Anxiety: An Updated Systematic Review and Meta-Analysis.

Authors:  Angel M Dzhambov; Peter Lercher
Journal:  Int J Environ Res Public Health       Date:  2019-10-27       Impact factor: 3.390

7.  Trends in the prevalence and treatment of depressive symptoms in Peru: a population-based study.

Authors:  David Villarreal-Zegarra; Milagros Cabrera-Alva; Rodrigo M Carrillo-Larco; Antonio Bernabe-Ortiz
Journal:  BMJ Open       Date:  2020-07-19       Impact factor: 2.692

8.  Neural correlates of mindful emotion regulation in high and low ruminators.

Authors:  David Rosenbaum; Agnes M Kroczek; Justin Hudak; Julian Rubel; Moritz J Maier; Theresa Sorg; Lucca Weisbender; Lara Goldau; Douglas Mennin; David M Fresco; Andreas J Fallgatter; Ann-Christine Ehlis
Journal:  Sci Rep       Date:  2020-09-24       Impact factor: 4.379

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.