Non-Pharmaceutical Interventions on COVID-19 in Workers and Residents of Nursing Homes in Geneva: A Mixed Qualitative and Quantitative Study
Why this work is in the frame
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Bibliographic record
Abstract
The objective of this study was to examine the impact of varying levels of non-pharmaceutical interventions (NPIs) on COVID-19 transmission in nursing homes during the first wave of the pandemic. Background/Objectives: The primary aim involved exploring qualitative insights from staff and management regarding the implementation of NPIs. The secondary aim was to determine the cumulative incidence of PCR-confirmed COVID-19 cases among residents. Incident rate ratios (IRRs) were the calculated levels of NPI restrictiveness. Methods: We used a mixed methodology to identify factors that might have affected COVID-19 expansion in nursing homes in the canton of Geneva, Switzerland. For the qualitative component, we interviewed the Attending Physicians and/or Director of each nursing home. In the quantitative component, we calculated incident rate ratios (IRRs) for infection between the three levels of COVID-19-related measures taken in these nursing homes, and the cumulative incidence of PCR-confirmed COVID-19 cases in their resident population. This study was conducted in 12 nursing homes located in the canton of Geneva, Switzerland, between 1 March 2020, and 1 June 2020. Results: Most nursing homes mandated NPIs for their staff and residents during the first wave of COVID-19. We found an equal distribution of maximally (n = 4), moderately (n = 4), and minimally (n = 4) restrictive NPIs for nursing home workers and residents. The extent of NPIs implemented was not shown to be significantly associated with the cumulative incidence of COVID-19 cases among residents (maximally restrictive IRR = 3.90, 95%CI 0.82–45.54, p = 0.184; moderately restrictive IRR = 3.55, 95%CI 0.75–41.42, p = 0.212; minimally restrictive IRR = reference). Conclusions: Nursing homes in our study showed high variability in which NPIs, and to what extent, they implemented, with no significant relationship between the restrictiveness of NPIs and COVID-19 incidence among nursing home residents. This suggests that other factors influence the transmission of COVID-19 in these settings. Future research should explore additional determinants and the balance between strict NPIs and the overall well-being of residents.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it