Evidence map›Paper›PMID 36745839›Full record

ArticleHealth affairs (Project Hope)2023

Differences In Nursing Home Staff COVID-19 Testing Rates And Odds Of Vaccination Across Work Shifts.

Elizabeth M White, Jasmine L Travers, Natalia Gouskova, Gahee Oh, Maggie Syme, Xiaofei Yang, Ana Montoya, Richard A Feifer, David C Grabowski, Vincent Mor and 1 more

Abstract read
In one paragraph

Article in Health affairs (Project Hope), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Elizabeth M WhiteElizabeth M. White (elizabeth_white@brown.edu), Brown University, Providence, Rhode Island.
Jasmine L TraversJasmine L. Travers, New York University, New York, New York.
Natalia GouskovaNatalia Gouskova, Hebrew SeniorLife, Boston, Massachusetts.
Gahee OhGahee Oh, Hebrew SeniorLife.
Maggie SymeMaggie Syme, Hebrew SeniorLife.
Xiaofei YangXiaofei Yang, Brown University.
Ana MontoyaAna Montoya, University of Michigan, Ann Arbor, Michigan.
Richard A FeiferRichard A. Feifer, RAF Healthcare Solutions, Simsbury, Connecticut.
David C GrabowskiDavid C. Grabowski, Harvard University, Cambridge, Massachusetts.
Vincent MorVincent Mor, Brown University.
Sarah D BerrySarah D. Berry, Hebrew SeniorLife.

Funding

Training Core (I)U54AG063546 · NIA · BROWN UNIVERSITY · PI Vincent Mor · 2019 to 2026
$125.9M
NIA NIH HHS U54 AG063546
6 · The paper itself

Abstract

COVID-19 vaccination and regular testing of nursing home staff have been critical interventions for mitigating COVID-19 outbreaks in US nursing homes. Although implementation of testing has largely been left to nursing home organizations to coordinate, vaccination occurred through a combination of state, federal, and organization efforts. Little research has focused on structural variation in these processes. We examined whether one structural factor, the primary shift worked by staff, was associated with differences in COVID-19 testing rates and odds of vaccination, using staff-level data from a multistate sample of 294 nursing homes. In facility fixed effects analyses, we found that night-shift staff had the lowest testing rates and lowest odds of vaccination, whereas day-shift staff had the highest testing rates and odds of vaccination. These findings highlight the need to coordinate resources and communication evenly across shifts when implementing large-scale processes in nursing homes and other organizations with shift-based workforces.

Indexed as

COVID-19COVID-19 TestingCOVID-19 VaccinesHumansNursing HomesVaccinationCOVID-19 Vaccines

Identifiers

PMID36745839
PMCPMC9990769

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.