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Resume Introduction Le devoilement de soi par les professionnels de la sante est une pratique courante, bien que controversee quant au moment opportun, a l’etendue et au contenu des informations partagees et aux consequences cliniques. Objectif Cette etude qualitative vise a enqueter sur de devoilement de soi chez les professionnels de la sante et du monde socioeducatif. Methode Treize entretiens approfondis avec les animateurs d’une intervention pour ameliorer le plaisir et la motivation dans la schizophrenie. Les entretiens ont fait l’objet d’une analyse thematique. Resultats Les professionnels decrivent leurs devoilements comme un partage authentique d’experiences vecues. Du point de vue du contenu, les professionnels selectionnent des evenements simples de leur vie personnelle ou professionnelle, qu’ils trouvent faciles a partager avec les patients, en groupe. Les criteres de selection de ces experiences concernent principalement la valeur therapeutique et sont formules en termes de pertinence du contenu et de l’utilite envisagee pour le patient ainsi que d’authenticite. La revelation de soi genere une redefinition des places dans l’interaction conduisant a une relation plus egalitaire. Conclusions Le devoilement de soi s’avere etre un outil pour developper et maintenir la relation therapeutique. De plus amples etudes sur le phenomene seraient utiles pour concevoir la formation des professionnels.

Background: Negative symptoms are frequent in patients with schizophrenia and are associated with marked impairments in social functioning. The efficacy of drug-based treatments and psychological interventions on primary negative symptoms remains limited. The Positive Emotions Programme for Schizophrenia (PEPS) is designed to improve pleasure and motivation in schizophrenia patients by targeting emotion regulation and cognitive skills relevant to apathy and anhedonia. The main hypothesis of this study is that patients who attend 8 one-hour sessions of PEPS and treatment as usual (TAU) will have lower total apathy-avolition and anhedonia-asociality composite scores on the Scale for the Assessment of Negative Symptoms (SANS) than patients who attend only TAU. Methods: Eighty participants diagnosed with schizophrenia or schizoaffective disorder were randomized to receive either TAU or PEPS + TAU. The participants were assessed by independent evaluators before randomization (T0), in a post-test after 8 weeks of treatment (T1) and at a 6-month follow-up (T2). Results: The post-test results and 6-month follow-up assessments according to an intention-to-treat analysis showed that the apathy and anhedonia composite scores on the SANS indicated statistically greater clinical improvements in PEPS participants than in non-PEPS participants. In the post-test, anhedonia but not apathy was significantly improved, thus favouring the PEPS condition. These results were sustained at the 6-month follow-up. Conclusions: PEPS is an effective intervention to reduce anhedonia in schizophrenia. PEPS is a short, easy-to-use, group-based, freely available intervention that is easy to implement in a variety of environments (ClinicalTrials.gov ID: NCT02593058).

The European Mediterranean Seismological Centre (EMSC), one of the top global earthquake information centers, has been empirically developing a multichannel rapid information system comprising websites, a Twitter quakebot, and a smartphone app for global earthquake eyewitnesses. At the intersection between seismology, citizen science, and digital communication, its aim is twofold: to offer timely, appropriate information in regions where an earthquake is felt and to collect high numbers of eyewitnesses’ direct and indirect observations about the degree of shaking being felt and possible damage incurred. This, in turn, will improve rapid situation awareness and augment data at a relatively low cost. Engagement with eyewitnesses is based on the rapid provision of tremor detection (between few tens of seconds to a couple of minutes from when the earthquake strikes) which is derived from the analysis of indirect information, i.e., digital footprints of Internet and social media searches by eyewitnesses eager to find out the cause of the tremor. This detection generally precedes detection by seismic networks. Eyewitness’ behavior is comparable to real-time seismic sensors when using EMSC websites or LastQuake smartphone app. The hit times on our websites and launch times of our app closely follow seismic wave propagation. Crowdsourced data (felt reports, geo-located pictures, and open comments) is then fed back into the ongoing information product improvement and situation awareness which, in turn, attracts more eyewitnesses through a viral spread, thus creating a positive feedback loop. The use of visual communication for felt report collection, where traditional online questionnaires have been replaced by cartoons depicting different degrees of shaking and damage levels, has proven to be fast and efficient on a global scale with, on average, half of the felt reports being collected within 10 min. Following requests by Nepalese users after the devastating 2015 Gorkha, Nepal earthquake, the LastQuake app now includes timely geo-targeted safety checks to inform loved ones that one is safe and safety tips communicated using cartoons to describe behaviors to be encouraged or avoided after violent tremors. We argue that this simple and affordable system, based on standard Internet technologies and social media, can reduce anxiety by offering timely information and services to eyewitnesses and possibly contribute to immediate global seismic risk reduction by complementing well-established long-term strategies built around improving the seismic performance of the existing buildings by raising situation awareness and limiting potentially dangerous behaviors after violent ground shaking. Short abstract The EMSC, one of the top global earthquake information centers, has been empirically developing a multichannel rapid information system comprising websites, a Twitter quakebot and a smartphone app for global earthquake eyewitnesses. At the intersection between seismology, citizen science, and digital communication, its aim is twofold: to offer timely, appropriate information in regions where an earthquake is felt and to collect high numbers of eyewitnesses’ direct and indirect observations to improve rapid situation awareness. Engagement with eyewitnesses is based on the rapid provision of tremor detection (between few tens of seconds to a couple of minutes) which is derived from the analysis of indirect information, i.e., Internet and social media searches by eyewitnesses eager to find out the cause of the tremor. Eyewitness’ behavior is comparable to real-time seismic sensors when using EMSC websites or LastQuake smartphone app. Crowdsourced data is then fed back into the ongoing information product improvement and situation awareness which, in turn, attracts more eyewitnesses through a viral spread. The use of visual communication for felt report collection has proven to be fast and efficient on a global scale with, on average, 50% of felt reports being collected within 10 min. The LastQuake app now includes timely geo-targeted safety checks and safety tips to describe behaviors to be encouraged or avoided after violent tremors. We argue that this simple,affordable system, based on Internet technologies and social media, can reduce anxiety by offering timely information to eyewitnesses and possibly contribute to immediate global seismic risk reduction.