ArticleJournal of policy analysis and management : [the journal of the Association for Public Policy Analysis and Management]2021
WHO'S IN AND WHO'S OUT UNDER WORKPLACE COVID SYMPTOM SCREENING?
Article in Journal of policy analysis and management : [the journal of the Association for Public Policy Analysis and Management], 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed, 4 citations in OpenAlex.
- COVID-19 and Indigenous health in the Brazilian Amazon.Economic modelling · 2022Article
- Wearable technology for early detection of COVID-19: A systematic scoping review.Preventive medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
COVID symptom screening, a new workplace practice, is already affecting many millions of American workers. As of this writing, 34 states already require, and federal guidance recommends, frequent screening of at least some employees for fever or other symptoms. This paper provides the first empirical work identifying major features of symptom screening in a broad population and exploring the trade-offs employers face in using daily symptom screening. First, we find that common symptom checkers could screen out up to 7 percent of workers each day, depending on the measure used. Second, we find that the measures used will matter for three reasons: Many respondents report any given symptom, survey design affects responses, and demographic groups report symptoms at different rates, even absent fluctuations in likely COVID exposure. This last pattern can potentially lead to disparate impacts and is important from an equity standpoint.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.