Acceptability and Feasibility of an Ecological Momentary Intervention for Managing Emotional Distress Among Psychiatric Inpatients at Risk for Suicide

医学 心理干预 干预(咨询) 苦恼 人口 精神科 临床心理学 环境卫生
作者
Evan M. Kleiman,Kate H. Bentley,Adam C. Jaroszewski,Joseph S. Maimone,Rebecca G. Fortgang,Kelly L. Zuromski,Erin N. Kilbury,Michelle B. Stein,Stuart Beck,Jeff C. Huffman,Matthew K. Nock
出处
期刊:Archives of Suicide Research [Taylor & Francis]
卷期号:: 1-18 被引量:3
标识
DOI:10.1080/13811118.2024.2391293
摘要

The weeks following an inpatient psychiatric hospitalization are known to be the highest-risk time for suicide. Interventions are needed that are well-matched to the dynamic nature of suicidal thoughts and easily implementable during this high-risk time. We sought to determine the feasibility and acceptability of a novel registered clinical trial that combined three brief in-person sessions to teach core cognitive-behavioral therapy (CBT) skills during hospitalization followed by smartphone-based ecological momentary intervention (EMI) to facilitate real-time practice of the emotion management skills during the 28 days after hospital discharge. Results from this pilot study (N = 26) supported some aspects of feasibility and acceptability. Regarding feasibility, 14.7% of all screened inpatients met study eligibility criteria. Half (50.3%) of those who were ineligible were ineligible because they were not part of the population for whom this treatment was designed (e.g., symptoms such as psychosis rendered them ineligible for the current study). Those who were otherwise eligible based on symptoms were primarily ineligible due to inpatient stays that were too short. Nearly half (48%) of study participants did not receive all three in-person sessions during their hospitalization. Among enrolled participants, rates of engagement with the smartphone-based assessment and EMI prompts were 51.47%. Regarding acceptability, quantitative and qualitative data supported the perceived acceptability of the intervention, and provided recommendations for future iterations. Well-powered effectiveness (and effectiveness-implementation) studies are needed to determine the effects of this promising and highly scalable intervention approach.
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