Literature DB >> 28110678

Addressing the treatment gap: A key challenge for extending evidence-based psychosocial interventions.

Alan E Kazdin1.   

Abstract

Remarkable progress has been made in developing psychosocial interventions for a broad range of psychiatric disorders for children, adolescents, and adults. In addition many efforts are well underway to address the research-practice gap, which refers to the dissemination evidence-based treatments from controlled settings to clinical care. The present article focuses on the treatment gap, which refers to the discrepancy in the proportion of the population in need of services and the proportion that actually receives them. Currently, in the United States (and worldwide), the vast majority of individuals in need of mental health services receive no treatment. Although there are many reasons, the dominant model of delivering psychosocial interventions in both research and clinical practice makes it difficult to scale treatment to reach the large swaths of individuals in need. That model includes one-to-one, in person treatment, with a trained mental health professional, and provided in clinical setting (e.g., clinic, private practice office, health-care facility). The article discusses the development of delivery models that would permit reaching more individuals in need, highlights criteria for developing such models, and illustrates novel models already available. The article proposes that our next challenge is to reach individuals in need with the many excellent interventions we have developed but through a diversified set of delivery models.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Models of intervention delivery; Treatment gap

Mesh:

Year:  2017        PMID: 28110678     DOI: 10.1016/j.brat.2016.06.004

Source DB:  PubMed          Journal:  Behav Res Ther        ISSN: 0005-7967


  75 in total

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Authors:  John A Naslund; Kelly A Aschbrenner
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4.  Opportunities for and Tensions Surrounding the Use of Technology-Enabled Mental Health Services in Community Mental Health Care.

Authors:  Emily G Lattie; Jennifer Nicholas; Ashley A Knapp; Joshua J Skerl; Susan M Kaiser; David C Mohr
Journal:  Adm Policy Ment Health       Date:  2020-01

5.  A Weakly Supervised Learning Framework for Detecting Social Anxiety and Depression.

Authors:  Asif Salekin; Jeremy W Eberle; Jeffrey J Glenn; Bethany A Teachman; John A Stankovic
Journal:  Proc ACM Interact Mob Wearable Ubiquitous Technol       Date:  2018-06

6.  Exploring opportunities to support mental health care using social media: A survey of social media users with mental illness.

Authors:  John A Naslund; Kelly A Aschbrenner; Gregory J McHugo; Jürgen Unützer; Lisa A Marsch; Stephen J Bartels
Journal:  Early Interv Psychiatry       Date:  2017-10-20       Impact factor: 2.732

7.  Age Moderates Link Between Training Effects and Treatment Response to Attention Bias Modification Treatment for Social Anxiety Disorder.

Authors:  Rany Abend; Reut Naim; Lee Pergamin-Hight; Nathan A Fox; Daniel S Pine; Yair Bar-Haim
Journal:  J Abnorm Child Psychol       Date:  2019-05

8.  Challenges and Opportunities to Meet the Mental Health Needs of Underserved and Disenfranchised Populations in the United States.

Authors:  Francesca Mongelli; Penelope Georgakopoulos; Michele T Pato
Journal:  Focus (Am Psychiatr Publ)       Date:  2020-01-24

9.  The efficacy of app-supported smartphone interventions for mental health problems: a meta-analysis of randomized controlled trials.

Authors:  Jake Linardon; Pim Cuijpers; Per Carlbring; Mariel Messer; Matthew Fuller-Tyszkiewicz
Journal:  World Psychiatry       Date:  2019-10       Impact factor: 49.548

10.  A Cost Analysis of a Stepped Care Treatment Approach for Anxiety Disorders in Youth.

Authors:  Carlos E Yeguez; Timothy F Page; Yasmin Rey; Wendy K Silverman; Jeremy W Pettit
Journal:  J Clin Child Adolesc Psychol       Date:  2019-01-15
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