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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

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 p...

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Detalles Bibliográficos
Autores principales: Lopez-Morinigo, J.-D., Luisa, B.-E. Maria, Porras-Segovia, A., Martínez, A. Sánchez-Escribano, Escobedo-Aedo, P.-J., Ruiz-Ruano, V. González, Mata-Iturralde, L., Muñoz-Lorenzo, L., Sánchez-Alonso, S., Artés-Rodríguez, A., Baca-Garcia, E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9470873/
http://dx.doi.org/10.1192/j.eurpsy.2021.920
Descripción
Sumario: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). [Table: see text] X(2)=25.296,df=6,p<0.001. Nagelkerke-R(2)=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.