Ecological momentary interventions for depression and anxiety

Research output: Research - peer-reviewReview article

Abstract

Ecological momentary interventions (EMIs) are becoming more popular and more powerful resources for the treatment and prevention of depression and anxiety due to advances in technological capacity and analytic sophistication. Previous work has demonstrated that EMIs can be effective at reducing symptoms of depression and anxiety as well as related outcomes of stress and at increasing positive psychological functioning. In this review, we highlight the differences between EMIs and other forms of treatment due to the nature of EMIs to be deeply integrated into the fabric of people's day-to-day lives. EMIs require unique considerations in their design, deployment, and evaluation. Furthermore, given that EMIs have been advanced by changes in technologies and that the use of behavioral intervention technologies for mental health has been increasing, we discuss how technologies and analytics might usher in a new era of EMIs. Future EMIs might reduce user burden and increase intervention personalization and sophistication by leveraging digital sensors and advances in natural language processing and machine learning. Thus, although current EMIs are effective, the EMIs of the future might be more engaging, responsive, and adaptable to different people and different contexts.

LanguageEnglish
Pages540-545
Number of pages6
JournalDepression and Anxiety
Volume34
Issue number6
DOIs
StatePublished - Jun 1 2017

Fingerprint

Anxiety
Depression
Technology
Natural Language Processing
Mental Health
Psychology
Machine Learning

Keywords

  • anxiety/anxiety disorders
  • CBT/cognitive–behavioral therapy
  • computer/Internet technology`
  • depression
  • treatment

ASJC Scopus subject areas

  • Clinical Psychology
  • Psychiatry and Mental health

Cite this

Ecological momentary interventions for depression and anxiety. / Schueller, Stephen M.; Aguilera, Adrian; Mohr, David C.

In: Depression and Anxiety, Vol. 34, No. 6, 01.06.2017, p. 540-545.

Research output: Research - peer-reviewReview article

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