Voluntary asymptomatic rapid antigen testing for COVID-19 in staff of inpatient units of an academic mental health hospital
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Significant COVID-19 transmission occurs from people not experiencing symptoms. We aimed to investigate whether rapid antigen testing among pre-symptomatic or asymptomatic healthcare workers along with symptom and exposure screening may help to identify COVID-19 cases. Methods: We invited staff on two inpatient geriatric mental health units to voluntarily undergo testing with the Abbott PanbioTM rapid antigen test kit on site, up to three times weekly for up to eight weeks per participant. We expanded the study to two more units due to low recruitment. Results: From March 30 to July 23, 2021, we tested 28 participants who underwent on average 16.5 tests participating for an average of 46 days. Of 462 rapid tests, one was positive, which was followed by a negative confirmatory polymerase chain reaction (PCR) test. The participation rate among the initially targeted population was low (16.7%). Discussion: Our study occurred during initially moderate to high but dropping community incidence rates. The positive result occurred when community transmission was low. It was likely a false positive. There were no detected or reported cases of COVID-19 among staff participants. Conclusions: Rapid antigen testing did not identify cases when used in addition to symptom- and exposure-based screening in asymptomatic staff in our small study. Recruitment was low and we suspect repeated testing by appointment was perceived as onerous.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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 it