Suicidal thoughts, suicidal behaviours and self-harm in daily life: A systematic review of ecological momentary assessment studies. (November 2020)

• Record Type: Journal Article
• Authors: Gee, Brendan Loo; Han, Jin; Benassi, Helen; Batterham, Philip J
• Is Part Of: Digital health. Volume 6(2020)
• Publication Date: 2020-11
• Subjects: Ecological momentary assessment -- self-injurious behaviour -- suicide -- telemedicine -- systematic review; Medical care -- Data processing -- Periodicals; Medical informatics -- Periodicals; 362.10285
• DOI: 10.1177/2055207620963958
• Languages: English
• ISSNs: 2055-2076

Abstract

Background: Ecological Momentary Assessments (EMA) offer an approach to understand the daily risk factors of suicide and self-harm of individuals through the use of self-monitoring techniques using mobile technologies. Objectives: This systematic review aimed to examine the results of studies on suicidality risk factors and self-harm that used Ecological Momentary Assessments. Methods: Pubmed and PsycINFO databases were searched up to April 2020. Bibliographies of eligible studies were hand-searched, and 744 abstracts were screened and double-coded for inclusion. Results: The 49 studies using EMA included in the review found associations between daily affect, rumination and interpersonal interactions and daily non-suicidal self-injury (NSSI). Studies also found associations between daily negative affect and positive affect, social support, sleep, and emotions and a person's history of suicide and self-harm. Associations between daily suicide thoughts and self-harm, and psychopathology factors measured at baseline were also observed. Conclusions: Research using EMA has the potential to offer clinicians the ability to understand the daily predictors, or risk factors, of suicide and self-harm. However, there are no clear reporting standards for EMA studies on risk factors for suicide. Further research should utilise longitudinal study designs, harmonise datasets and use machine learning techniques to identify patterns of proximal risk factors for suicide behaviours.