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Context: In 2021, French health authorities strongly promoted vaccination against COVID-19. The authors assumed that refusing this vaccine became a stigma, and they investigated potential public stigma toward unvaccinated people among the French population. Methods: A representative sample of the French adult population (N = 2,015) completed an online questionnaire in September 2021. The authors focused on participants who were already vaccinated against COVID-19 or intended to get vaccinated (N = 1,742). A cluster analysis was used to obtain contrasted attitudinal profiles, and the authors investigated associated factors with logistic regressions. Findings: Regarding attitudes toward unvaccinated people, a majority of respondents supported several pejorative statements, and a significant minority also endorsed social rejection attitudes. The authors found four contrasting attitudinal profiles: moral condemnation only (32% of respondents), full stigma (26%), no stigma (26%), and stigma rejection (16%). Early vaccination, civic motives for it, faith in science, rejection of political extremes, and being aged 65 or older were the main factors associated with stigmatizing attitudes toward unvaccinated people. Conclusions: The authors found some evidence of stigmatization toward unvaccinated people, but further research is needed, especially to investigate perceived stigmatization among them. The authors discuss their results with reference to the concept of "folk devils" and from a public health perspective. [ABSTRACT FROM AUTHOR]

Background: Media coverage of Lyme disease (LD) has led to an increase in consultations for presumed LD in Europe. However, LD is confirmed in only 10%-20% of patients, with a significant number remaining in a diagnostic dead-end.Objectives: To reach a deeper understanding of how patients themselves contribute to the diagnostic process. To describe the genesis of the LD hypothesis in care pathways.Methods: In 2019, 30 patients from a prospective cohort consulting in the infectious diseases department at University Hospital in Marseille for presumed LD were recruited for semistructured interviews. The inclusion criteria were: suffering from subjective symptoms for 6 months, no clinical or paraclinical argument suggesting current LD. The patients' medical trajectories were collected using a biographical approach.Results: The diagnosis of LD was primarily triggered by identification with personal testimonies found on the Internet. Most of patients were leading their own diagnostic investigation. The majority of participants were convinced they had LD despite the lack of medical evidence and the scepticism of their referring GP.Conclusion: GPs should first systematically explore patients' aetiologic representations in order to improve adherence to the diagnosis especially in the management of medically unexplained symptoms. Long COVID-19 syndrome challenge offers an opportunity to promote active patient involvement in diagnosis. [ABSTRACT FROM AUTHOR]

Objectives: To our best knowledge, no study in France has comprehensively investigated the prehospital history of patients admitted for severe cases of COVID-19. 'Patients' voice is an excellent means to capture data on primary care pathways. We aimed to identify clusters of COVID-19 hospitalised patients with similar prehospital symptom sequences, and to test whether these clusters were associated with a higher risk of poor clinical outcomes. Design: Cross-sectional online survey using life-event calendars. Setting: All patients hospitalised for COVID-19 between September 2020 and May 2021 in the Infectious Disease Departments in Nice and in Marseilles in France. Participants: 312 patients responded to the survey. Main outcome measures: From the day of symptom onset to the day of hospitalisation, we defined a symptom sequence as the time-ordered vector of the successive symptom grades (grade 1, grade 2, grade 3). State sequence analysis with optimal matching was used to identify clusters of patients with similar symptom sequences. Multivariate logistic regressions were performed to test whether these clusters were associated with admission to intensive care unit (ICU) and COVID-19 sequelae after hospitalisation. Results: Three clusters of symptom sequences were identified among 312 complete prehospital pathways. A specific group of patients (29%) experienced extended symptoms of severe COVID-19, persisting for an average duration of 7.5 days before hospitalisation. This group had a significantly higher probability of being admitted to ICU (adjusted OR 2.01). They were less likely to know a loved one who was a healthcare worker, and more likely to have a lower level of education. Similarly, this group of patients, who were more likely to have previously visited the emergency room without exhibiting severe symptoms at that time, may have been inclined to postpone reassessment when their health worsened. Their relatives played a decisive role in their hospitalisation. [ABSTRACT FROM AUTHOR]

During the spring of 2020, because of the coronavirus disease (COVID-19) pandemic, >3 billion persons worldwide lived under lockdown, and many of them were probably angry, uncertain, and distrustful of [...]