Evidence map›Paper›PMID 33408208›Full record

Observational studyBMJ open2021

Compress the curve: a cross-sectional study of variations in COVID-19 infections across California nursing homes.

Ram Gopal, Xu Han, Niam Yaraghi

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
7.3field-weighted citation impact, top 3% of its field
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Article
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  5. Article
  6. Review
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Managing the Impact of COVID-19 in Nursing Homes and Long-Term Care Facilities: An Update.Journal of the American Medical Directors Association · 2022
    Article
  12. Article
  13. Nursing Home Design and COVID-19: Implications for Guidelines and Regulation.Journal of the American Medical Directors Association · 2022
    Article
  14. Article
  15. Risk Factors Associated with Nursing Home COVID-19 Outbreaks: A Retrospective Cohort Study.International journal of environmental research and public health · 2021
    Article
  16. Article
  17. 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

3 authors at 3 institutions in 2 countries.

Ram Gopal *Warwick Business School, University of Warwick, Coventry, UK.ORCID 0000-0003-4241-9355
Xu Han *Gabelli School of Business, Fordham University, New York, New York, USA.
Niam Yaraghi *Miami Herbert Business School, University of Miami, Coral Gables, Florida, USA niamyaraghi@miami.edu.ORCID 0000-0003-3497-0251
Brookings Institution · USFordham University · USUniversity of Warwick · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveNursing homes' residents and staff constitute the largest proportion of the fatalities associated with COVID-19 epidemic. Although there is a significant variation in COVID-19 outbreaks among the US nursing homes, we still do not know why such outbreaks are larger and more likely in some nursing homes than others. This research aims to understand why some nursing homes are more susceptible to larger COVID-19 outbreaks.

designObservational study of all nursing homes in the state of California until 1 May 2020.

settingThe state of California.

participants713 long-term care facilities in the state of California that participate in public reporting of COVID-19 infections as of 1 May 2020 and their infections data could be matched with data on ratings and governance features of nursing homes provided by Centers for Medicare & Medicaid Services (CMS).

main outcome measureThe number of reported COVID-19 infections among staff and residents.

resultsStudy sample included 713 nursing homes. The size of outbreaks among residents in for-profit nursing homes is 12.7 times larger than their non-profit counterparts (log count=2.54; 95% CI, 1.97 to 3.11; p<0.001). Higher ratings in CMS-reported health inspections are associated with lower number of infections among both staff (log count=-0.19; 95% CI, -0.37 to -0.01; p=0.05) and residents (log count=-0.20; 95% CI, -0.27 to -0.14; p<0.001). Nursing homes with higher discrepancy between their CMS-reported and self-reported ratings have higher number of infections among their staff (log count=0.41; 95% CI, 0.31 to 0.51; p<0.001) and residents (log count=0.13; 95% CI, 0.08 to 0.18; p<0.001).

conclusionsThe size of COVID-19 outbreaks in nursing homes is associated with their ratings and governance features. To prepare for the possible next waves of COVID-19 epidemic, policy makers should use these insights to identify the nursing homes who are more likely to experience large outbreaks.

Indexed as

PandemicsSARS-CoV-2AgedCaliforniaCOVID-19Cross-Sectional StudiesFemaleHumansMaleNursing HomesCOVID-19geriatric medicinehealth policy

Identifiers

PMID33408208
PMCPMC7789209
OpenAlexW3119164755

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.