Long-term Behavioral Changes During the COVID-19 Pandemic and Impact of Vaccination in Patients With Inflammatory Rheumatic Diseases
Bibliographic record
Abstract
OBJECTIVE: To explore anxiety and self-isolation in patients with inflammatory rheumatic disease (IRD)15 months into the coronavirus disease 2019 (COVID-19) pandemic, including attitudes toward and effects of SARS-CoV-2 vaccination. METHODS: A nationwide online survey was conducted at 3 timepoints: May 2020, November 2020, and May 2021. Patients with IRD followed in the Danish Rheumatology Quality Registry (DANBIO) were asked about the effects of the pandemic, including SARS-CoV-2 infection and their behavior, anxiety, and concerns. The May 2021 survey included attitudes toward SARS-CoV-2 and influenza vaccination. Characteristics associated with self-isolation in May 2021 were explored with adjusted logistic regression analyses that included patient characteristics and SARS-CoV-2 vaccination status. RESULTS: Respondents to surveys 1, 2, and 3 included 12,789; 14,755; and 13,921 patients, respectively; 64% had rheumatoid arthritis and 63% were female. Anxiety and concerns were highest in May 2020 and decreased to stable levels in November 2020 and May 2021; 86%, 50%, and 52% of respondents reported self-isolation, respectively. In May 2021, 4% of respondents self-reported previous SARS-CoV-2 infection. The SARS-CoV-2 vaccine acceptance rate was 86%, and the proportion of patients vaccinated against influenza had increased from 50% in winter 2019-2020 to 64% in winter 2020-2021. The proportion of patients with anxiety appeared similar among those vaccinated and unvaccinated against SARS-CoV-2. In multivariable analyses, being unvaccinated, female gender, receiving biologic drugs, and poor quality of life were independently associated with self-isolation. CONCLUSION: Levels of anxiety and self-isolation decreased after the initial lockdown period in patients with IRD. Half of the patients reported self-isolation in May 2021, a phase that included widespread reopening of society and large-scale vaccination. The lack of prepandemic data prevented a full understanding of the long-term effects of the pandemic on anxiety and self-isolation in patients with IRD.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".