Literature DB >> 28276176

User profiles of an electronic mental health tool for ecological momentary assessment: MEmind.

María Luisa Barrigón1,2, Sofian Berrouiguet1,3, Juan José Carballo1,2,4, Covadonga Bonal-Giménez1, Pablo Fernández-Navarro5,6, Bernadette Pfang7, David Delgado-Gómez8, Philippe Courtet9, Fuensanta Aroca10, Jorge Lopez-Castroman11, Antonio Artés-Rodríguez12,13,14, Enrique Baca-García1,2,14,15,16,17.   

Abstract

Ecological momentary assessment (EMA) is gaining importance in psychiatry. This article assesses the characteristics of patients who used a new electronic EMA tool: the MEmind Wellness Tracker. Over one year, 13811 adult outpatients in our Psychiatry Department were asked to use MEmind. We collected information about socio-demographic data, psychiatric diagnoses, illness severity, stressful life events and suicidal thoughts/behavior. We compared active users (N = 2838) and non-active users (N = 10,973) of MEmind and performed a Random Forest analysis to assess which variables could predict its use. Univariate analyses revealed that MEmind-users were younger (42.2 ± 13.5 years versus 48.5 ± 16.3 years; χ2  = 18.85; P < 0.001) and more frequently diagnosed with anxiety related disorders (57.9% versus 46.7%; χ2  = 105.92; P = 0.000) than non-active users. They were more likely to report thoughts about death and suicide (up to 24% of active users expressed wish for death) and had experienced more stressful life events than non-active users (57% versus 48.5%; χ2  = 64.65; P < 0.001). In the Random Forest analysis, 31 variables showed mean decrease accuracy values higher than zero with a 95% confidence interval (CI), including sex, age, suicidal thoughts, life threatening events and several diagnoses. In the light of these results, strategies to improve EMA and e-Mental Health adherence are discussed.
Copyright © 2017 John Wiley & Sons, Ltd.

Entities:  

Keywords:  Random Forest analysis; experience sampling methods; health records; internet; smartphone; suicide

Mesh:

Year:  2017        PMID: 28276176      PMCID: PMC6877232          DOI: 10.1002/mpr.1554

Source DB:  PubMed          Journal:  Int J Methods Psychiatr Res        ISSN: 1049-8931            Impact factor:   4.035


  41 in total

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Review 9.  Ecological momentary assessment in borderline personality disorder: a review of recent findings and methodological challenges.

Authors:  Philip Santangelo; Martin Bohus; Ulrich W Ebner-Priemer
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Review 10.  Internet interventions for mental health and addictions: current findings and future directions.

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  16 in total

Review 1.  Review of Use and Integration of Mobile Apps Into Psychiatric Treatments.

Authors:  Steven Chan; Haley Godwin; Alvaro Gonzalez; Peter M Yellowlees; Donald M Hilty
Journal:  Curr Psychiatry Rep       Date:  2017-10-30       Impact factor: 5.285

2.  User profiles of an electronic mental health tool for ecological momentary assessment: MEmind.

Authors:  María Luisa Barrigón; Sofian Berrouiguet; Juan José Carballo; Covadonga Bonal-Giménez; Pablo Fernández-Navarro; Bernadette Pfang; David Delgado-Gómez; Philippe Courtet; Fuensanta Aroca; Jorge Lopez-Castroman; Antonio Artés-Rodríguez; Enrique Baca-García
Journal:  Int J Methods Psychiatr Res       Date:  2017-03-09       Impact factor: 4.035

3.  Ecological Momentary Assessment and Mood Disorders in Children and Adolescents: a Systematic Review.

Authors:  Itziar Baltasar-Tello; Carolina Miguélez-Fernández; Inmaculada Peñuelas-Calvo; Juan J Carballo
Journal:  Curr Psychiatry Rep       Date:  2018-08-01       Impact factor: 5.285

Review 4.  Precision Medicine and Suicide: an Opportunity for Digital Health.

Authors:  Maria Luisa Barrigon; Philippe Courtet; Maria Oquendo; Enrique Baca-García
Journal:  Curr Psychiatry Rep       Date:  2019-11-28       Impact factor: 5.285

5.  A cross-diagnostic study of Adherence to Ecological Momentary Assessment: Comparisons across study length and daily survey frequency find that early adherence is a potent predictor of study-long adherence.

Authors:  Sara E Jones; Raeanne C Moore; Amy E Pinkham; Colin A Depp; Eric Granholm; Philip D Harvey
Journal:  Pers Med Psychiatry       Date:  2021-07-16

6.  Characterizing the phenomenology of passive suicidal ideation: a systematic review and meta-analysis of its prevalence, psychiatric comorbidity, correlates, and comparisons with active suicidal ideation.

Authors:  Richard T Liu; Alexandra H Bettis; Taylor A Burke
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7.  Clinicians' Concerns About Mobile Ecological Momentary Assessment Tools Designed for Emerging Psychiatric Problems: Prospective Acceptability Assessment of the MEmind App.

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8.  WHODAS 2.0 as a Measure of Severity of Illness: Results of a FLDA Analysis.

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9.  Universal mental health screening with a focus on suicidal behaviour using smartphones in a Mexican rural community: protocol for the SMART-SCREEN population-based survey.

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Journal:  BMJ Open       Date:  2020-07-19       Impact factor: 2.692

10.  Combining mobile-health (mHealth) and artificial intelligence (AI) methods to avoid suicide attempts: the Smartcrises study protocol.

Authors:  Sofian Berrouiguet; María Luisa Barrigón; Jorge Lopez Castroman; Philippe Courtet; Antonio Artés-Rodríguez; Enrique Baca-García
Journal:  BMC Psychiatry       Date:  2019-09-07       Impact factor: 3.630

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