A5090657467- Suicide and Self-Harm Studies
- Digital Mental Health Interventions
- Mental Health Research Topics
- Mental Health Treatment and Access
- Psychosomatic Disorders and Their Treatments
- Mental Health via Writing
- Psychoanalysis and Psychopathology Research
- Health, Medicine and Society
- Sleep and related disorders
- Salivary Gland Disorders and Functions
- Child and Adolescent Psychosocial and Emotional Development
- Tryptophan and brain disorders
- Mobile Health and mHealth Applications
- COVID-19 and Mental Health
- Schizophrenia research and treatment
- Fibromyalgia and Chronic Fatigue Syndrome Research
- Sleep and Wakefulness Research
- Eating Disorders and Behaviors
- Data-Driven Disease Surveillance
- Obstructive Sleep Apnea Research
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Impact of Technology on Adolescents
- Grief, Bereavement, and Mental Health
- Body Image and Dysmorphia Studies
- Healthcare Systems and Practices
Centre Hospitalier Régional Universitaire de Brest
2015-2024
Laboratoire de Traitement de l'Information Médicale
2020-2024
Université de Bretagne Occidentale
2014-2024
Inserm
2022-2024
Hôpital de l'Antiquaille
2016-2023
IMT Atlantique
2017-2022
Laboratoire des Sciences et Techniques de l’Information de la Communication et de la Connaissance
2017-2022
Centre National de la Recherche Scientifique
2017-2022
Gestion de l'Eau, Acteurs, Usages
2016-2018
Registre général des cancers de Lille et de sa région
2018
Clinical assessment in psychiatry is commonly based on findings from brief, regularly scheduled in-person appointments. Although critically important, this approach reduces to cross-sectional observations that miss essential information about disease course. The mental health provider makes all medical decisions limited information. Thanks recent technological advances such as mobile phones and other personal devices, electronic (eHealth) data collection strategies now can provide access...
The screening of digital footprint for clinical purposes relies on the capacity wearable technologies to collect data and extract relevant information's patient management. Artificial intelligence (AI) techniques allow processing real-time observational information continuously learning from build understanding. We designed a system able get sense footprints based smartphone's native sensors advanced machine signal in order identify suicide risk.The Smartcrisis study is cross-national...
Abstract Ecological momentary assessment (EMA) is gaining importance in psychiatry. This article assesses the characteristics of patients who used a new electronic EMA tool: MEmind Wellness Tracker. Over one year, 13811 adult outpatients our Psychiatry Department were asked to use MEmind. We collected information about socio‐demographic data, psychiatric diagnoses, illness severity, stressful life events and suicidal thoughts/behavior. compared active users ( N = 2838) non‐active 10,973)...
Suicidal behaviour and deliberate self-harm are common among adults. Research indicates that maintaining contact either via letter or postcard with at-risk adults following discharge from care services can reduce reattempt risk. Feasibility trials demonstrated intervention through text message was also effective in preventing suicide repetition amongst attempters. The aim of the current study is to investigate effect versus traditional treatment on reducing risk attempt after self-harm. will...
Background: The emergence of smartphones, wearable sensor technologies, and smart homes allows the nonintrusive collection activity data. Thus, health-related events, such as activities daily living (ADLs; eg, mobility patterns, feeding, sleeping, ...) can be captured without patients' active participation. We designed a system to detect changes in patterns based on smartphone's native sensors advanced machine learning signal processing techniques. Objective: principal objective this work is...
Research indicates that maintaining contact either via letter or postcard with at-risk adults following discharge from care services after a suicide attempt (SA) can reduce reattempt risk. Pilot studies have demonstrated interventions using mobile health (mHealth) technologies are feasible in prevention setting.The aim of this study was to report three cases patients recruited the Suicide Intervention Assisted by Messages (SIAM) describe how intervention may influence follow-up.SIAM is...
Background Many suicide risk factors have been identified, but traditional clinical methods do not allow for the accurate prediction of behaviors. To face this challenge, emma, an app ecological momentary assessment (EMA), intervention (EMI), and in high-risk patients, was developed. Objective The aim case report study to describe how subjects at high use emma real-world conditions. Methods Ecological Mental Momentary Assessment (EMMA) is ongoing, longitudinal, interventional, multicenter...
Article Abstract Background: There is growing evidence in the literature that brief contact interventions (BCIs) might be reliable suicide prevention strategies. Objective: To assess effectiveness of a decision-making algorithm for (ALGOS) combining existing BCIs reducing reattempts patients discharged after attempt. Methods: A randomized, multicenter, controlled, parallel trial was conducted 23 hospitals. The study from January 26, 2010, to February 28, 2013. People who had made attempt...
Background Suicide is a leading cause of death, particularly among young people. Continuity care following discharge from hospital critical, yet this time when individuals often lose contact with health services. Offline brief interventions suicide attempt can reduce the number repeat attempts, and text message (short service, SMS) are currently being evaluated. Objective The aim study was to extend postattempt caring contacts by designing Web-based intervention targeting proximal risk...
The early postattempt period is considered to be one of the most at-risk time windows for suicide reattempt or completion. Among postcrisis prevention programmes developed compensate this risk, brief contact interventions (BCIs) have been proven efficient but not equally each subpopulation attempters. VigilanS a region-wide programme that relies on an algorithmic system tailor surveillance and BCI provisions individuals discharged from hospital after attempt.VigilanS' main objective reduce...
Purpose The emergence of electronic prescribing devices with clinical decision support systems (CDSS) is able to significantly improve management pharmacological treatments. We developed a web application available on smartphones in order help clinicians monitor prescription and further propose CDSS. Method A (www.MEmind.net) was assess patients collect data regarding gender, age, diagnosis treatment. analyzed antipsychotic prescriptions 4345 attended five Psychiatric Community Mental Health...
Background: Electronic prescribing devices with clinical decision support systems (CDSSs) hold the potential to significantly improve pharmacological treatment management. Objective: The aim of our study was develop a novel Web- and mobile phone–based application provide dynamic CDSS by monitoring analyzing practitioners' antipsychotic prescription habits simultaneously linking these data inpatients' symptom changes. Methods: We recruited 353 psychiatric inpatients whose levels prescribed...
Background In an electronic health context, combining traditional structured clinical assessment methods and routine health–based data capture may be a reliable method to build dynamic decision-support system (CDSS) for suicide prevention. Objective The aim of this study was describe the mining module Web-based CDSS identify repetition risk in sample attempters. Methods We analyzed database 2802 Clustering were used groups similar patients, regression trees applied estimate number attempts...