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Pending challenges to e-mental health in the COVID-19 era: Acceptability of a smartphone-based ecological momentary assessment application among patients with schizophrenia spectrum disorders

Published online by Cambridge University Press:  13 August 2021

J.-D. Lopez-Morinigo*
Affiliation:
Psychiatry, Universidad Autónoma de Madrid, Madrid, Spain
B.-E. Maria Luisa
Affiliation:
Psychiatry, Universidad Autonoma, Madrid, Spain
A. Porras-Segovia
Affiliation:
Psychiatry, Hospital Universitario Fundación Jiménez Díaz, Madrid, Spain
A. Sánchez-Escribano Martínez
Affiliation:
Psychiatry, Hospital Universitario Fundación Jiménez Díaz, Madrid, Spain
P.-J. Escobedo-Aedo
Affiliation:
Psychiatry, Hospital Universitario Fundación Jiménez Díaz, Madrid, Spain
V. González Ruiz-Ruano
Affiliation:
Psychiatry, Hospital Universitario Fundación Jiménez Díaz, Madrid, Spain
L. Mata-Iturralde
Affiliation:
Psychiatry, Hospital Universitario Fundación Jiménez Díaz, Madrid, Spain
L. Muñoz-Lorenzo
Affiliation:
Psychiatry, Hospital Universitario Fundación Jiménez Díaz, Madrid, Spain
S. Sánchez-Alonso
Affiliation:
Psychiatry, Hospital Universitario Fundación Jiménez Díaz, Madrid, Spain
A. Artés-Rodríguez
Affiliation:
Signal Theory And Communications, Universidad Carlos III, Madrid, Spain
E. Baca-Garcia
Affiliation:
Psychiatry, Universidad Autónoma de Madrid, Madrid, Spain
*
*Corresponding author.

Abstract

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Introduction

Concerns have been raised about ecological momentary assessment (EMA) acceptability among patients with schizophrenia spectrum disorders (SSD), which is of major relevance during the e-Mental health-focused COVID-19 pandemic.

Objectives

To investigate i) the levels of adherence to a passive smartphone-based EMA tool, the Evidence-Based Behavior (eB2), among SSD patients; and ii) putative predictors of this.

Methods

Sample: SSD (F20-29-ICD10) outpatients, age 18-64, without financial incentives, recruited over 17/06/2019-11/03/2020 at the Hospital Universitario Fundación Jiménez Díaz (Madrid, Spain). Those who accepted the eB2 installation -users- and those who did not -non-users- were compared in sociodemographic, clinical, premorbid adjustment, neurocognitive, psychopathological, insight and metacognitive variables by a multivariable binary logistic regression model.

Results

Sample (N=77): n=41 males; age: 47.69±9.76 years, n=24 users (31.2%). n=14 users (70%) had the eB2 installed at follow-up (median=14.50 weeks).

Multivariable binary logistic regression model on ‘user’ as outcome
βSEWaldpOR95% CI
Age-0.0750.0383.9100.0480.9280.861-0.999
Education level-0.9671.2890.5630.4530.3800.030-4.755
Early adolescence premorbid adjustment-0.2850.1106.6950.0100.7520.606-0.933
Trail Making Test A-0.0300.0251.4880.2220.9700.924-1.018
Trail Making Test B-0.0050.0100.2780.5980.9950.976-1.014
Cognitive Insight0.0620.0611.0430.3071.0640.944-1.200

X2=25.296,df=6,p<0.001. Nagelkerke-R2=44.7%. Correctly classified: 76.9%, users:54.5%, non-users:88.4%.

Conclusions

Acceptability of a smartphone-based EMA application among SSD patients was low. Age (young) and good premorbid adjustment predicted acceptability. e-Mental Health methods need to be tailored for patients with SSD. Otherwise, these highly vulnerable individuals may be neglected by e-health-based services in the post-COVID-19 years ahead.

Type
Abstract
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of the European Psychiatric Association
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