1471. Treatment of Influenza with Baloxavir was Associated with Reduced Absenteeism Compared with Oseltamivir in a Patient-Generated Health Data Study
Bibliographic record
Abstract
Abstract Background Lost productivity from workplace absenteeism is a significant component of the economic burden of influenza [1]. Antiviral treatment together with influenza vaccination may help reduce work time lost from influenza illness [2]. In clinical trials, baloxavir, an oral single dose treatment for influenza, demonstrated comparable symptom resolution to oseltamivir taken twice daily for 5 days [3]. We examined baloxavir real-world outcomes using patient generated health data (PGHD) to investigate the association between antiviral use and workplace absenteeism. Methods Using data from a participatory influenza-like illness (ILI) surveillance program (ISP), we identified participants who self-reported ILI using the online Evidation platform during the 2019-2020 influenza season in the United States. Participants who self-reported treatment with baloxavir or oseltamivir were included. We conducted an ordinal logistic regression to estimate the odds of missing work due to ILI, while adjusting for use of over-the-counter (OTC) medication, age, number of symptoms, US region, and comorbidities. Results Of 3658 participants eligible for inclusion in the analysis, 3285 (89.8%) were prescribed oseltamivir and 373 (10.2%) were prescribed baloxavir. A majority of participants (81.7%) reported missing at least one day of work. In the ordinal logistic regression, use of baloxavir was associated with lower odds of absenteeism, compared to oseltamivir (odds ratio [OR]: 0.748, 95% confidence interval [CI]: 0.616, 0.907). In addition, a higher number of symptoms (OR 2.922, 95% CI: 2.454, 3.481), older age (OR: 1.425, 95% CI: 1.162, 1.747), and use of OTC medication (OR: 1.242, 95% CI: 1.086, 1.420) were associated with higher odds of absenteeism. Due to a high rate of missing data on the timing of antiviral use (24.5% missing), its association with absenteeism could not be adequately assessed. Conclusion Treatment of patients with ILI with single dose baloxavir was associated with reduced workplace absenteeism compared to oseltamivir after adjusting for measured confounders. This study provides useful insight into factors associated with ILI-related workplace absenteeism and the potential real-world utility of baloxavir. Disclosures Hao Xu, MSc, Hoffmann-La Roche Limited: Employee Vincent Ukachukwu, n/a, Roche Products Ltd: Employee Devika Chawla, PhD, Genentech: Employee.
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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 | 0.005 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".