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The pandemic dramatically accelerated research on vaccine attitudes and uptake, a field which mobilizes researchers from the social sciences and humanities as well as biomedical and public health disciplines. The field has the potential to contribute much more, but the growth in research and the deeper connections between disciplines brings challenges as well as opportunities. This perspective article assesses the recent development of the field, exploring progress whilst emphasizing that not enough attention has been paid to national and local contexts. This lack of contextual attention limits the progress of research and hinders our capacity to learn from the COVID-19 crisis. We suggest three concrete responses: building and recognizing new publishing formats for reporting and synthesizing studies at a country level; establishing country-level interdisciplinary networks to connect research and praxis; and strengthening international comparative survey work by enhancing the focus on local contextual factors.

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.Conclusion and relevance This study highlights the negative impact of delayed hospitalisation on the health outcomes of French patients with severe COVID-19 symptoms during the first wave and underscores the influence of socioeconomic factors, such as lower education levels and limited connections to the medical field, on patients’ experiences.

This review outlines the outcome of the COVID-19 vaccination campaign in France and assesses the respective roles of information and coercion in its overall success. These data are then put into perspective of the evolution of vaccination acceptance in France., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Context: The role of political identities in determining attitudes to vaccines has attracted a lot of attention in the last decade. Explanations have tended to focus on the influence of party representatives on their sympathizers (partisan cues)., Methods: Four representative samples of the French adult population completed online questionnaires between July 2021 and May 2022 (N = 9,177). Bivariate and multivariate analyses were performed to test whether partisan differences in attitudes to vaccines are best explained by partisan cues or by parties' differences in propensity to attract people who distrust the actors involved in vaccination policies., Findings: People who feel close to parties on the far left, parties on the far right, and green parties are more vaccine hesitant. The authors found a small effect of partisan cues and a much stronger effect of trust. More importantly, they show that the more politically sophisticated are less vaccine hesitant and that the nonpartisan are the biggest and most vaccine hesitant group., Conclusions: The literature on vaccine attitudes has focused on the case of the United States, but turning attention toward countries where disenchantment with politics is more marked helps researchers better understand the different ways trust, partisanship, and political sophistication can affect attitudes to vaccines., (Copyright © 2024 by Duke University Press.)

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., (© The Author(s) 2022. Published by Oxford University Press. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

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., (Copyright © 2024 by Duke University Press.)

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., Conclusion and Relevance: This study highlights the negative impact of delayed hospitalisation on the health outcomes of French patients with severe COVID-19 symptoms during the first wave and underscores the influence of socioeconomic factors, such as lower education levels and limited connections to the medical field, on patients' experiences., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)