Related Experiment Video
Updated: Sep 5, 2025

08:25
Polar Histogram Visualization of Acute Stress Disorder Scale Scores for Comprehensive Clinical Assessment
Published on: December 6, 2024
514
Proximal Risk for Suicide: Protocol for an Ecological Momentary Assessment Study
Pravesh Sharma1,2, Robert Peck1, Anthony R Sinicrope2
1Department of Psychiatry and Psychology, Mayo Clinic Health Systems, Eau Claire, WI, United States.
JMIR Research Protocols
|July 12, 2022
Summary
This study will identify psychological and physiological risk factors predicting short-term suicide risk. Findings aim to improve clinical assessments and interventions for suicidal ideation and behaviors.
Area of Science:
- Psychiatry
- Public Health
- Digital Health
Background:
- Suicide is a major public health issue across all US age groups.
- Identifying short-term suicide risk factors (days to weeks) is crucial.
- Little is known about the relative significance of factors predicting short-term suicide risk or daily variability's impact.
Purpose of the Study:
- Identify psychological risk factors strongly associated with proximal changes in suicide risk.
- Evaluate theoretical assumptions of the Integrative-Motivational-Volitional Theory of Suicide.
- Determine how physiological arousal disruptions interact with risk mechanisms to predict suicidal thoughts and behaviors.
Main Methods:
- Utilize a daily diary/ecological momentary assessment design with 200 participants.
- Participants complete 3 daily assessments via the ilumivu research app over 3 weeks.
- Recruitment via chart review and standard care at Mayo Clinic Health System (MCHS) Eau Claire.
Main Results:
- This manuscript outlines the protocol for an upcoming study.
- The study protocol is designed to guide the forthcoming research on suicide risk factors.
Conclusions:
- The project will leverage technology to capture micro-changes in suicidal thinking/behavior over short timeframes.
- Results will guide future clinical assessment and management of suicidal patients.
- Findings will identify risk factors and their interactions to predict worsening suicidal ideation, informing new interventions.

