@article{PORRASSEGOVIA2022145,

title = {Real-world feasibility and acceptability of real-time suicide risk monitoring via smartphones: A 6-month follow-up cohort},

author = {Alejandro Porras-Segovia and Isaac D\'{i}az-Oliv\'{a}n and Maria Luisa Barrig\'{o}n and Manon Moreno and Antonio Art\'{e}s-Rodr\'{i}guez and Mercedes M Perez-Rodriguez and Enrique Baca-Garc\'{i}a},

url = {https://www.sciencedirect.com/science/article/pii/S0022395622001078},

doi = {https://doi.org/10.1016/j.jpsychires.2022.02.026},

issn = {0022-3956},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Journal of Psychiatric Research},

volume = {149},

pages = {145-154},

abstract = {Active and passive Ecological Momentary Assessment of suicide risk is crucial for suicide prevention. We aimed to assess the feasibility and acceptability of active and passive smartphone-based EMA in real-world conditions in patients at high risk for suicide. We followed 393 patients at high risk for suicide for six months using two mobile health applications: the MEmind (active) and the eB2 (passive). Retention with active EMA was 79.3% after 1 month and 22.6% after 6 months. Retention with passive EMA was 87.8% after 1 month and 46.6% after 6 months. Satisfaction with the MEmind app, uninstalling the eB2 app and diagnosis of eating disorders were independently associated with stopping active EMA. Satisfaction with the eB2 app and uninstalling the MEmind app were independently associated with stopping passive EMA. Smartphone-based active and passive EMA are feasible and may increase accessibility to mental healthcare.},

keywords = {Ecological momentary assessment, eHealth, Mhealth, Suicide, Suicide attempt, Suicide ideation},

pubstate = {published},

tppubtype = {article}

}

@article{AArtes20b,

title = {Ecological Momentary Assessment for Monitoring Risk of Suicide Behavior},

author = {Patricia Carretero and Juan Jos\'{e} Campa\~{n}a-Montes and Antonio Art\'{e}s-Rodr\'{i}guez},

doi = {https://doi.org/10.1007/7854_2020_170},

year  = {2020},

date = {2020-08-15},

journal = {Current Topics in Behavioral Neurosciences},

keywords = {Big data, Digital footprint, Digital phenotype, e-health, Ecological momentary assessment, Machine learning, Mobile health, Suicidal risk, Wearable devices},

pubstate = {published},

tppubtype = {article}

}

@article{AArtes20c,

title = {Smartphone-based ecological momentary assessment (EMA) in psychiatric patients and student controls: A real-world feasibility study},

author = {Alejandro Porras-Segovia and Rosa Mar\'{i}a Molina-Madue\~{n}o and Sofian Berrouiguet and Jorge L\'{o}pez-Castrom\'{a}n and Maria Luisa Barrig\'{o}n and Mar\'{i}a Sandra P\'{e}rez-Rodr\'{i}guez and Jos\'{e} Heliodoro Marco and Isaac D\'{i}az-Oliv\'{a}n and Santiago de Le\'{o}n and Philippe Courtet and Antonio Art\'{e}s-Rodr\'{i}guez and Enrique Baca-Garc\'{i}a},

doi = {https://doi.org/10.1016/j.jad.2020.05.067},

year  = {2020},

date = {2020-05-26},

urldate = {2020-05-26},

journal = {Journal of Affective Disorders},

volume = {274},

pages = {733-741},

keywords = {Ecological momentary assessment, Wearable devices},

pubstate = {published},

tppubtype = {article}

}

@article{AArtes20,

title = {Study protocol of a randomised clinical trial testing whether metacognitive training can improve insight and clinical outcomes in schizophrenia},

author = {Javier-David Lopez-Morinigo and Ver\'{o}nica Gonz\'{a}lez Ruiz-Ruano and Adela S\'{a}nchez Escribano Mart\'{i}nez and Mar\'{i}a Luisa Barrig\'{o}n and L. Mata-Iturralde and L. Mu\~{n}oz-Lorenzo and S. S\'{a}nchez-Alonso and Antonio Art\'{e}s-Rodr\'{i}guez and Anthony S David and Enrique Baca-Garc\'{i}a },

doi = {https://doi.org/10.1186/s12888-020-2431-x},

year  = {2020},

date = {2020-01-29},

urldate = {2020-01-29},

journal = {BMC Psychiatry},

volume = {20},

number = {30},

keywords = {Ecological momentary assessment, Insight, Metacognitive training, Schizophrenia spectrum disorders},

pubstate = {published},

tppubtype = {article}

}