The Development of a Chatbot Technology to Disseminate Post-COVID-19 Information: Descriptive Implementation Study.

BACKGROUND: Post-COVID-19, or long COVID, has now affected millions of individuals, resulting in fatigue, neurocognitive symptoms, and an impact on daily life. The uncertainty of knowledge around this condition, including its overall prevalence, pathophysiology, and management, along with the growing numbers of affected individuals, has created an essential need for information and disease management. This has become even more critical in a time of abundant online misinformation and potential misleading of patients and health care professionals. OBJECTIVE: The RAFAEL platform is an ecosystem created to address the information about and management of post-COVID-19, integrating online information, webinars, and chatbot technology to answer a large number of individuals in a time- and resource-limited setting. This paper describes the development and deployment of the RAFAEL platform and chatbot in addressing post-COVID-19 in children and adults. METHODS: The RAFAEL study took place in Geneva, Switzerland. The RAFAEL platform and chatbot were made available online, and all users were considered participants of this study. The development phase started in December 2020 and included developing the concept, the backend, and the frontend, as well as beta testing. The specific strategy behind the RAFAEL chatbot balanced an accessible interactive approach with medical safety, aiming to relay correct and verified information for the management of post-COVID-19. Development was followed by deployment with the establishment of partnerships and communication strategies in the French-speaking world. The use of the chatbot and the answers provided were continuously monitored by community moderators and health care professionals, creating a safe fallback for users. RESULTS: To date, the RAFAEL chatbot has had 30,488 interactions, with an 79.6% (6417/8061) matching rate and a 73.2% (n=1795) positive feedback rate out of the 2451 users who provided feedback. Overall, 5807 unique users interacted with the chatbot, with 5.1 interactions per user, on average, and 8061 stories triggered. The use of the RAFAEL chatbot and platform was additionally driven by the monthly thematic webinars as well as communication campaigns, with an average of 250 participants at each webinar. User queries included questions about post-COVID-19 symptoms (n=5612, 69.2%), of which fatigue was the most predominant query (n=1255, 22.4%) in symptoms-related stories. Additional queries included questions about consultations (n=598, 7.4%), treatment (n=527, 6.5%), and general information (n=510, 6.3%). CONCLUSIONS: The RAFAEL chatbot is, to the best of our knowledge, the first chatbot developed to address post-COVID-19 in children and adults. Its innovation lies in the use of a scalable tool to disseminate verified information in a time- and resource-limited environment. Additionally, the use of machine learning could help professionals gain knowledge about a new condition, while concomitantly addressing patients' concerns. Lessons learned from the RAFAEL chatbot will further encourage a participative approach to learning and could potentially be applied to other chronic conditions.

[Pharmacological trials evaluating treatment options for neuropsychiatric symptoms in post-COVID. A narrative review]. / Essais pharmacologiques sur les traitements des symptômes neuropsychiatriques du post-Covid. Revue narrative de la littérature.

Post-COVID prevalence's is estimated at 10 % in the general population. The neuropsychiatric symptoms, which are frequent (up to 30 %), can severely affect the quality of life of patients affected by this condition, notably by significantly reducing their working ability. To date, no pharmacologic treatment is available for post-COVID, apart from symptomatic treatments. A large number of pharmacological clinical trials for post-COVID are underway since 2021. A number of these trials targets neuropsychiatric symptoms, based on the various underlying pathophysiological hypotheses. The objective of this narrative review is to provide an overview of these ongoing trials targeting neuropsychiatric symptoms in post-COVID.

La prévalence du syndrome post-Covid est évaluée à 10 % dans la population générale. Les symptômes neuropsychiatriques, fréquents (jusqu'à 30 %), peuvent sévèrement affecter la qualité de vie des patients qui en sont atteints et, notamment, en réduisant significativement leur capacité de travail. À ce jour, il n'existe pas de traitement médicamenteux pour le syndrome post-Covid, en dehors des traitements symptomatiques. C'est pourquoi, un grand nombre d'essais thérapeutiques concernant le post-Covid sont en cours depuis 2021. Un certain nombre d'entre eux ciblent les symptômes neuropsychiatriques en se basant sur les diverses hypothèses physiopathologiques élaborées sur le post-Covid. L'objectif de cette revue narrative est d'établir un état des lieux des essais thérapeutiques en cours ciblant les symptômes neuropsychiatriques du post-Covid.

[Post-Covid: 2022 updates and next steps.] / Post-Covid : nouveautés 2022 et prochaines étapes.

Post-Covid is defined by persistent symptoms following a SARS-CoV-2 infection, after excluding other causes. The prevalence of post-Covid is estimated at around 30% in the general population after an infection. Some of the risk factors include female sex, the number of symptoms in the acute phase, and comorbidities. Vaccination and Omicron infection are associated with a lower prevalence. The pathophysiology of post-Covid is not known to date, with hypotheses including immune dysregulation, viral persistence, endothelial dysfunction, microthrombosis and their consequences. Current management is defined by an adaptation of daily activities, and a symptom-based approach reducing their severity, frequency and impact. Clinical trials are underway to offer potential treatments for those affected.

Le post-Covid est défini par des symptômes persistant à la suite d'une infection par le SARS-CoV-2, après avoir exclu d'autres causes. La prévalence du post-Covid est estimée à 30 % dans la population générale après une infection. Les facteurs de risque identifiés sont le sexe féminin, le nombre de symptômes dans la phase aiguë et les comorbidités. La vaccination et le variant Omicron sont associés avec une prévalence diminuée. La physiopathologie est encore à l'étude, pouvant s'agir d'un dérèglement immunitaire, d'une persistance virale, d'une dysfonction endothéliale ou de microthromboses et de leurs conséquences. La prise en charge actuelle consiste à aménager le quotidien et cibler les symptômes pour réduire leurs sévérité, fréquence et impact. Des essais cliniques sont en cours pour offrir des traitements potentiels aux personnes atteintes.