2024
Porras-Segovia, Alejandro; Granda-Beltrán, Ana Maria De; Gallardo, Claudia; Abascal-Peiró, Sofía; Barrigón, María Luisa; Artés-Rodríguez, Antonio; López-Castroman, Jorge; Courtet, Philippe; Baca-García, Enrique
Smartphone-based safety plan for suicidal crisis: The SmartCrisis 2.0 pilot study Artículo de revista
En: Journal of Psychiatric Research, vol. 169, pp. 284-291, 2024, ISSN: 0022-3956.
Resumen | Enlaces | BibTeX | Etiquetas: Ecological momentary intervention, Experience-sampling method, Suicide, Suicide attempt, Suicide ideation, Time-sampling procedures
@article{PORRASSEGOVIA2024284,
title = {Smartphone-based safety plan for suicidal crisis: The SmartCrisis 2.0 pilot study},
author = {Alejandro Porras-Segovia and Ana Maria De Granda-Beltr\'{a}n and Claudia Gallardo and Sof\'{i}a Abascal-Peir\'{o} and Mar\'{i}a Luisa Barrig\'{o}n and Antonio Art\'{e}s-Rodr\'{i}guez and Jorge L\'{o}pez-Castroman and Philippe Courtet and Enrique Baca-Garc\'{i}a},
url = {https://www.sciencedirect.com/science/article/pii/S0022395623005526},
doi = {https://doi.org/10.1016/j.jpsychires.2023.11.039},
issn = {0022-3956},
year = {2024},
date = {2024-01-01},
journal = {Journal of Psychiatric Research},
volume = {169},
pages = {284-291},
abstract = {Here we present the findings of the pilot phase of the SmartCrisis 2.0 Randomized Clinical Trial. This pilot study aimed to explore the feasibility and acceptability of a safety plan contained in a smartphone app. Our sample consisted patients with a history of recent suicidal behaviour who installed a smartphone-based safety plan. To explore the satisfaction with of the safety plan, two patient satisfaction surveys were conducted: one qualitative and one quantitative. To explore the objective use of the safety plan, we gained access to texts contained in the safety plans completed by the patients. Participation rate was 77%, while 48.9% patients completed both satisfaction surveys at the end of the pilot phase. N = 105 successfully installed the safety plan. In a scale from 1 to 10, users rated the usefulness of the security plan at 7.4, the usability at 8.9, the degree to which they would recommend it to others at 8.6 and the overall satisfaction with the project including evaluations at 9.6. The most widely completed tab was warning signs. Feeling sad or lonely was the warning sign most commonly reported by patients. The second most completed tab was internal coping strategies. Walking or practicing any other exercise was the strategy most commonly resorted to. Our smartphone-based safety plan appears to be a feasible intervention. Data obtained from this pilot study showed high participation rates and high acceptability by patients. This, together with the general satisfaction with the project, supports its implementation in the clinical practice.},
keywords = {Ecological momentary intervention, Experience-sampling method, Suicide, Suicide attempt, Suicide ideation, Time-sampling procedures},
pubstate = {published},
tppubtype = {article}
}
2022
Porras-Segovia, Alejandro; Díaz-Oliván, Isaac; Barrigón, Maria Luisa; Moreno, Manon; Artés-Rodríguez, Antonio; Perez-Rodriguez, Mercedes M; Baca-García, Enrique
Real-world feasibility and acceptability of real-time suicide risk monitoring via smartphones: A 6-month follow-up cohort Artículo de revista
En: Journal of Psychiatric Research, vol. 149, pp. 145-154, 2022, ISSN: 0022-3956.
Resumen | Enlaces | BibTeX | Etiquetas: Ecological momentary assessment, eHealth, Mhealth, Suicide, Suicide attempt, Suicide ideation
@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}
}
2021
Porras-Segovia, Alejandro; Cobo, Aurora; Díaz-Oliván, Isaac; Artés-Rodríguez, Antonio; Berrouiguet, Sofian; Lopez-Castroman, Jorge; Courtet, Philippe; Barrigón, Maria Luisa; Oquendo, María A; Baca-García, Enrique
Disturbed sleep as a clinical marker of wish to die: A smartphone monitoring study over three months of observation Artículo de revista
En: Journal of Affective Disorders, 2021, ISSN: 0165-0327.
Resumen | Enlaces | BibTeX | Etiquetas: Mhealth, Sleep, Smartphone, Suicide, Suicide attempt, Suicide ideation
@article{PORRASSEGOVIA2021,
title = {Disturbed sleep as a clinical marker of wish to die: A smartphone monitoring study over three months of observation},
author = {Alejandro Porras-Segovia and Aurora Cobo and Isaac D\'{i}az-Oliv\'{a}n and Antonio Art\'{e}s-Rodr\'{i}guez and Sofian Berrouiguet and Jorge Lopez-Castroman and Philippe Courtet and Maria Luisa Barrig\'{o}n and Mar\'{i}a A Oquendo and Enrique Baca-Garc\'{i}a},
url = {https://www.sciencedirect.com/science/article/pii/S0165032721001932},
doi = {https://doi.org/10.1016/j.jad.2021.02.059},
issn = {0165-0327},
year = {2021},
date = {2021-01-01},
journal = {Journal of Affective Disorders},
abstract = {Background
: Smartphone monitoring could contribute to the elucidation of the correlates of suicidal thoughts and behaviors (STB). In this study, we employ smartphone monitoring and machine learning techniques to explore the association of wish to die (passive suicidal ideation) with disturbed sleep, altered appetite and negative feelings.
Methods
: This is a prospective cohort study carried out among adult psychiatric outpatients with a history of STB. A daily questionnaire was administered through the MEmind smartphone application. Participants were followed-up for a median of 89.8 days, resulting in 9,878 person-days. Data analysis employed a machine learning technique called Indian Buffet Process.
Results
: 165 patients were recruited, 139 had the MEmind mobile application installed on their smartphone, and 110 answered questions regularly enough to be included in the final analysis. We found that the combination of wish to die and sleep problems was one of the most relevant latent features found across the sample, showing that these variables tend to be present during the same time frame (96 hours).
Conclusions
: Disturbed sleep emerges as a potential clinical marker for passive suicidal ideation. Our findings stress the importance of evaluating sleep as part of the screening for suicidal behavior. Compared to previous smartphone monitoring studies on suicidal behavior, this study includes a long follow-up period and a large sample.},
keywords = {Mhealth, Sleep, Smartphone, Suicide, Suicide attempt, Suicide ideation},
pubstate = {published},
tppubtype = {article}
}
: Smartphone monitoring could contribute to the elucidation of the correlates of suicidal thoughts and behaviors (STB). In this study, we employ smartphone monitoring and machine learning techniques to explore the association of wish to die (passive suicidal ideation) with disturbed sleep, altered appetite and negative feelings.
Methods
: This is a prospective cohort study carried out among adult psychiatric outpatients with a history of STB. A daily questionnaire was administered through the MEmind smartphone application. Participants were followed-up for a median of 89.8 days, resulting in 9,878 person-days. Data analysis employed a machine learning technique called Indian Buffet Process.
Results
: 165 patients were recruited, 139 had the MEmind mobile application installed on their smartphone, and 110 answered questions regularly enough to be included in the final analysis. We found that the combination of wish to die and sleep problems was one of the most relevant latent features found across the sample, showing that these variables tend to be present during the same time frame (96 hours).
Conclusions
: Disturbed sleep emerges as a potential clinical marker for passive suicidal ideation. Our findings stress the importance of evaluating sleep as part of the screening for suicidal behavior. Compared to previous smartphone monitoring studies on suicidal behavior, this study includes a long follow-up period and a large sample.