Impact of the COVID-19 pandemic on work productivity in patients with spondyloarthritis: results from the Dutch SpA-Net registry
Bibliographic record
Abstract
OBJECTIVE: To investigate whether work productivity in patients with spondyloarthritis (SpA) changed following the onset of the COVID-19 pandemic. METHODS: Data from the Dutch SpA-Net registry were used. Work productivity was assessed with the Work Productivity and Activity Impairment General Health questionnaire. Proportions of patients employed and their overall work impairment (0%-100%) were compared during a 1-year period before ('pre-pandemic') and a 1-year period after the onset ('post-onset') of the pandemic (March 2020). Generalised estimating equation analysis of all assessments since 2016 explored whether overall work impairment (absenteeism and presenteeism) in employed patients changed with pandemic onset, adjusting for confounders. Similar analyses with disease activity as outcome were used to facilitate interpretation of work productivity results. RESULTS: Data were available during pre-pandemic and post-onset years for 204 patients. Pre-pandemic, 128 (62%) patients were employed. Post-onset, 7 (3.4%) had lost employment, while another 7 (3.4%) originally unemployed gained employment. Overall work impairment was worse following pandemic onset (37.0%) compared with pre-pandemic (27.0%) (p<0.01). Post-onset increase in overall work impairment was mainly observed in patients with lower education (B=9.57, 95% CI 5.63 to 13.51) and largely attributable to absenteeism (B=11.15, 95% CI 7.44 to 14.86). In patients with high education, no such increase was seen. Disease activity did not change with pandemic onset. CONCLUSIONS: Work productivity worsened in patients with SpA after pandemic onset, especially in patients with lower education, while employment losses were limited and disease activity remained stable. Work support should be considered during the COVID-19 pandemic and thereafter for those vulnerable to adverse work outcome.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".