9 research outputs found
Digital mental health: challenges and next steps
Digital innovations in mental health offer great potential, but present unique challenges. Using a consensus development panel approach, an expert, international, cross-disciplinary panel met to provide a framework to conceptualise digital mental health innovations, research into mechanisms and effectiveness and approaches for clinical implementation. Key questions and outputs from the group were agreed by consensus, and are presented and discussed in the text and supported by case examples in an accompanying appendix. A number of key themes emerged. (1) Digital approaches may work best across traditional diagnostic systems: we do not have effective ontologies of mental illness and transdiagnostic/symptom-based approaches may be more fruitful. (2) Approaches in clinical implementation of digital tools/interventions need to be creative and require organisational change: not only do clinicians and patients need training and education to be more confident and skilled in using digital technologies to support shared care decision-making, but traditional roles need to be extended, with clinicians working alongside digital navigators and non-clinicians who are delivering protocolised treatments. (3) Designing appropriate studies to measure the effectiveness of implementation is also key: including digital data raises unique ethical issues, and measurement of potential harms is only just beginning. (4) Accessibility and codesign are needed to ensure innovations are long lasting. (5) Standardised guidelines for reporting would ensure effective synthesis of the evidence to inform clinical implementation. COVID-19 and the transition to virtual consultations have shown us the potential for digital innovations to improve access and quality of care in mental health: now is the ideal time to act
Ăvaluation des troubles thymiques par lâĂ©tude des donnĂ©es passives : le concept de phĂ©notype digital Ă lâĂ©preuve de la culture de mĂ©tier de psychiatre
International audienceObjectivesThe search for objective clinical signs is a constant practitionersâ and researchersâ concern in psychiatry. New technologies (embedded sensors, artificial intelligence) give an easier access to untapped information such as passive data (i.e. that do not require patient intervention). The concept of âdigital phenotypeâ is emerging in psychiatry: a psychomotor alteration translated by accelerometer's modifications contrasting with the usual functioning of the subject, or the graphorrhea of patients presenting a manic episode which is replaced by an increase of SMS sent. Our main objective is to highlight the digital phenotype of mood disorders by means of a selective review of the literature.MethodWe conducted a selective review of the literature by querying the PubMed database until February 2017 with the terms [Computer] [Computerized] [Machine] [Automatic] [Automated] [Heart rate variability] [HRV] [actigraphy] [actimetry] [digital] [motion] [temperature] [Mood] [Bipolar] [Depression] [Depressive]. Eight hundred and forty-nine articles were submitted for evaluation, 37 articles were included.ResultsFor unipolar disorders, smartphones can diagnose depression with excellent accuracy by combining GPS and call log data. Actigraphic measurements showing daytime alteration in basal function while ECG sensors assessing variation in heart rate variability (HRV) and body temperature appear to be useful tools to diagnose a depressive episode. For bipolar disorders, systems which combine several sensors are described: MONARCA, PRIORI, SIMBA and PSYCHE. All these systems combine passive and active data on smartphones. From a synthesis of these data, a digital phenotype of the disorders is proposed based on the accelerometer and the GPS, the ECG, the body temperature, the use of the smartphone and the voice. This digital phenotype thus brings into question certain clinical paradigms in which psychiatrists evolve.ConclusionAll these systems can be used to computerize the clinical characteristics of the various mental states studied, sometimes with greater precision than a clinician could do. Most authors recommend the use of passive data rather than active data in the context of bipolar disorders because automatically generated data reduce biases and limit the feeling of intrusion that self-questionnaires may cause. The impact of these technologies questions the psychiatrist's professional culture, defined as a specific language and a set of common values. We address issues related to these changes. Impact on psychiatrists could be important because their unity seems to be questioned due to technologies that profoundly modify the collect and process of clinical data.ObjectifsLa recherche de signes cliniques objectifs est une prĂ©occupation constante des praticiens et des chercheurs en psychiatrie. Le dĂ©veloppement rĂ©cent de certaines technologies (miniaturisation des capteurs, intelligence artificielle) permet dâavoir accĂšs Ă certaines donnĂ©es dites passives (câest-Ă -dire qui ne nĂ©cessitent pas dâintervention du patient) jusquâalors non exploitables et de nouveaux modĂšles basĂ©s sur une sĂ©miologie qui serait mĂ©diĂ©e par ces nouvelles technologies commencent Ă se dĂ©velopper avec le concept de phĂ©notype digital : le ralentissement psychomoteur se traduisant par des modifications de lâaccĂ©lĂ©romĂštre, la graphorrhĂ©e par une augmentation du nombre dâappels et de SMS envoyĂ©, etc. Notre objectif principal est de mettre en Ă©vidence le phĂ©notype digital des troubles de lâhumeur Ă lâaide dâune revue sĂ©lective de la littĂ©rature.MĂ©thodeNous avons conduit une revue sĂ©lective de la littĂ©rature en interrogeant la base PubMed jusquâĂ fĂ©vrier 2017 avec les termes [Computer] [Computerised] [Mobile] [Automatic] [Automated] [Machine learning] [Sensor] [Heart rate variability] [HRV] [actigraphy] [actimetry] [digital] [motion] [temperature] [Mood] [Bipolar] [Depression] [Depressive]. Huit cent quarante-neuf articles rĂ©pertoriĂ©s ont Ă©tĂ© soumis Ă lâĂ©valuation, 37 articles ont Ă©tĂ© inclus.RĂ©sultatsPour les troubles unipolaires, les smartphones permettent de diagnostiquer la dĂ©pression avec une excellente prĂ©cision en combinant les donnĂ©es du GPS et du journal des appels. Les mesures actigraphiques mettant en Ă©vidence une altĂ©ration diurne dans le fonctionnement basal tandis que les capteurs ECG Ă©valuant la variation de la variabilitĂ© du rythme cardiaque (HRV) et la tempĂ©rature corporelle semblent ĂȘtre des outils utiles pour diagnostiquer un Ă©pisode dĂ©pressif. En ce qui concerne les troubles bipolaires, des systĂšmes qui combinent plusieurs capteurs sont dĂ©crits : MONARCA, PRIORI, SIMBA et PSYCHE. Tous ces systĂšmes associent des donnĂ©es passives et des donnĂ©es actives sur smartphone. Ă partir dâune synthĂšse de ces donnĂ©es, un phĂ©notype digital des troubles est proposĂ© en se basant sur lâaccĂ©lĂ©romĂštre et le GPS, lâECG, la tempĂ©rature corporelle, lâutilisation du smartphone et lâĂ©tude de la voix. Ce phĂ©notype digital vient ainsi remettre en question certains paradigmes cliniques au sein desquels les psychiatres Ă©voluent. Lâimpact de ces technologies interrogeant profondĂ©ment la culture de mĂ©tier du psychiatre.DiscussionCes systĂšmes peuvent ĂȘtre utilisĂ©s pour informatiser les caractĂ©ristiques cliniques des diffĂ©rents Ă©tats mentaux Ă©tudiĂ©s, parfois avec une plus grande prĂ©cision quâun clinicien ne pourrait le faire. Par ailleurs, la plupart des auteurs recommandent lâutilisation de donnĂ©es passives prĂ©fĂ©rentiellement aux donnĂ©es actives notamment en cas de troubles bipolaires car les donnĂ©es gĂ©nĂ©rĂ©es automatiquement rĂ©duisent les biais et limitent le sentiment dâintrusion que les autoquestionnaires peuvent causer. Lâimpact de ces technologies interroge la culture de mĂ©tier du psychiatre, dĂ©finie comme une langue spĂ©cifique et un ensemble de valeurs communes. Nous abordons les problĂšmes liĂ©s Ă ces changements en soulignant que lâimpact de ce changement de paradigme sur les psychiatres pourrait ĂȘtre important, leur unitĂ© semblant remise en cause par des technologies qui modifient profondĂ©ment la collecte et le traitement des donnĂ©es cliniques
Acceptability, attitudes and knowledge towards Transcranial Magnetic Stimulation (TMS) among psychiatrists in France
International audienc
Paris MEM: a study protocol for an effectiveness and efficiency trial on the treatment of traumatic stress in France after the 2015â16 terrorist attacks
International audienceBACKGROUND:The Paris and Nice terrorist attacks affected a thousand of trauma victims and first-line responders. Because there were concerns that this might represent the first of several attacks, there was a need to quickly enhance the local capacities to treat a large number of individuals suffering from trauma-related disorders. Since Reconsolidation Therapy (RT) is brief, relatively easy to learn, well tolerated and effective, it appeared as the ideal first-line treatment to teach to clinicians in this context.METHODS:This study protocol is a two-arm non-randomized, multicenter controlled trial, comparing RT to treatment as usual for the treatment of trauma-related disorders. RT consists of actively recalling one's traumatic event under the influence of the Ă-blocker propranolol, once a week, for 10-25âmin with a therapist, over 6 consecutive weeks. This protocol evaluates the feasibility, effectiveness, and cost-utility of implementing RT as part of a large multi-center (Nâ=â400) pragmatic trial with a one-year follow-up.DISCUSSION:Paris MEM is the largest trial to date assessing the efficiency of RT in the aftermath of a large-scale man-made disaster. RT could possibly reinforce the therapeutic arsenal for the treatment of patients suffering from trauma-related disorders, not only for communities in western countries but also worldwide for terror- or disaster-stricken communities