Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR mHealth and uHealth

Date Submitted: Sep 19, 2019
Date Accepted: Jun 3, 2020

The final, peer-reviewed published version of this preprint can be found here:

A Digital Companion, the Emma App, for Ecological Momentary Assessment and Prevention of Suicide: Quantitative Case Series Study

Morgiève M, Genty C, Azé J, Dubois J, Leboyer M, Vaiva G, Berrouiguet S, Courtet P

A Digital Companion, the Emma App, for Ecological Momentary Assessment and Prevention of Suicide: Quantitative Case Series Study

JMIR Mhealth Uhealth 2020;8(10):e15741

DOI: 10.2196/15741

PMID: 33034567

PMCID: 7584985

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

A digital companion for ecological momentary assessment and prevention of suicide: A case series on the use of the emma app

  • Margot Morgiève; 
  • Catherine Genty; 
  • Jérôme Azé; 
  • Jonathan Dubois; 
  • Marion Leboyer; 
  • Guillaume Vaiva; 
  • Sofian Berrouiguet; 
  • Philippe Courtet

ABSTRACT

Background:

Many suicide risk factors have been identified, but traditional clinical methods do not allow the accurate prediction of suicide behaviors. To face this challenge, we developed emma, an app for Ecological Momentary Assessment/Intervention (EMA/EMI) and prediction of suicide risk in high risk patients.

Objective:

We wanted to test the feasibility of implementing this mHealth-based suicide risk assessment and prevention tool and its impact in subjects at high risk of suicide in real world conditions.

Methods:

The EMMA Study is an ongoing longitudinal interventional multicenter trial in which patients at high-risk for suicide (n=100) use emma for 6 months. During this period, they complete four EMA types (daily, weekly, monthly, spontaneous) and may use EMI modules. Participants undergo clinical assessment at month 0, 1, 3 and 6 after inclusion.

Results:

Among the 43 patients already recruited in the EMMA Study, 14 participants had completed the follow-up. Their data were analyzed to evaluate emma implementation and impact on suicide risk management. EMA completion rates were extremely heterogeneous among the 14 participants with a sharp decrease over time. The completion rates of the weekly EMA (25% to 87.5%) were higher than for the daily EMA (0% to 53.3%). Most patients (n=10/14) answered the EMA questionnaires spontaneously. Similarly, the Safety Plan Modules use was very heterogeneous (2 to 75 times). Specifically, 11 patients used the Call Module (1 to 29 times), designed by our team to help them to get in touch with healthcare professionals and/or relatives during a crisis. All patients used the Breathing Space Module and 8 the Emotion Regulation Module (1 to 46 times). The diversity of patient profiles and use of the EMA and EMI modules proposed by emma was highlighted by three case reports.

Conclusions:

These preliminary results suggest that it is possible and acceptable to collect longitudinal fine-grained contextualized data (EMA) and to offer personalized intervention (EMI) in real time to people at high risk of suicide. Patients have different clinical and digital profiles and needs that require a highly scalable, interactive and customizable app. To become a complementary tool for suicide prevention, emma should be integrated in the existing emergency procedures. Clinical Trial: ClinicalTrials.gov NCT03410381; https://clinicaltrials.gov/ct2/show/NCT03410381.


 Citation

Please cite as:

Morgiève M, Genty C, Azé J, Dubois J, Leboyer M, Vaiva G, Berrouiguet S, Courtet P

A Digital Companion, the Emma App, for Ecological Momentary Assessment and Prevention of Suicide: Quantitative Case Series Study

JMIR Mhealth Uhealth 2020;8(10):e15741

DOI: 10.2196/15741

PMID: 33034567

PMCID: 7584985

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.