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Patients at high risk of suicide before and during a COVID-19 lockdown: ecological momentary assessment study
- Source :
- BJPsych Open, e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid, instname
- Publication Year :
- 2021
- Publisher :
- Cambridge University Press, 2021.
-
Abstract
- The coronavirus disease 2019 (COVID-19) outbreak may have affected the mental health of patients at high risk of suicide. In this study we explored the wish to die and other suicide risk factors using smartphone-based ecological momentary assessment (EMA) in patients with a history of suicidal thoughts and behaviour. Contrary to our expectations we found a decrease in the wish to die during lockdown. This is consistent with previous studies showing that suicide rates decrease during periods of social emergency. Smartphone-based EMA can allow us to remotely assess patients and overcome the physical barriers imposed by lockdown. This study received grant support from Instituto de Salud Carlos III (ISCIII PI13/02200; PI16/ 01852; CM19/00026), Delegación del Gobierno para el Plan Nacional de Drogas (20151073), the American Foundation for Suicide Prevention (LSRG-1-005-16), the Ministerio de Ciencia, Innovación y Universidades (RTI2018-099655-B-I00; TEC2017-92552-EXP) and by the Comunidad de Madrid (Y2018/TCS-4705, PRACTICO-CM).
- Subjects :
- suicide attempt
2019-20 coronavirus outbreak
Coronavirus disease 2019 (COVID-19)
Short Report
Suicide rates
03 medical and health sciences
0302 clinical medicine
Machine learning
Technology and Mental Health
Suicide attempt
In patient
Suicide Risk
Ecological momentary assessment
Telecomunicaciones
Ecology
ecological momentary assessment
COVID-19
Mental health
Psicología
030227 psychiatry
Psychiatry and Mental health
Suicide
machine learning
Physical Barrier
Psychology
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- ISSN :
- 20564724
- Volume :
- 7
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- BJPsych Open
- Accession number :
- edsair.doi.dedup.....5d6b41a4c7a9916dca50f7e193b25398