User profiles of an electronic mental health tool for ecological momentary assessment: MEmind Articles uri icon

authors

  • BARRIGÓN ESTEVEZ, MARÍA LUISA
  • BERROUIGUET, SOFIAN
  • CARBALLO BELLOSO, JUAN JOSE
  • BONAL GIMENEZ, COVADONGA
  • FERNANDEZ-NAVARRO, PABLO
  • PFANG, BERNADETTE
  • DELGADO GOMEZ, DAVID
  • COURTET, PHILIPPE
  • AROCA, FUENSANTA
  • LOPEZ CASTROMAN, JORGE
  • ARTES RODRIGUEZ, ANTONIO
  • BACA GARCIA, ENRIQUE

publication date

  • March 2017

issue

  • 1

volume

  • 26

International Standard Serial Number (ISSN)

  • 1049-8931

Electronic International Standard Serial Number (EISSN)

  • 1557-0657

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 +/- 13.5years versus 48.5 +/- 16.3years; (2)=18.85; P<0.001) and more frequently diagnosed with anxiety related disorders (57.9% versus 46.7%; (2)=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%; (2)=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.

keywords

  • experience sampling methods; health records; internet; random forest analysis; smartphone; suicide; major depressive disorder; bulimia-nervosa; internet; validity; mood; life; classification; interventions; questionnaire; reliability