Evidence map›Paper›PMID 35248837›Full record

ArticleGeriatric nursing (New York, N.Y.)

A 2-year pandemic period analysis of facility and county-level characteristics of nursing home coronavirus deaths in the United States, January 1, 2020-December 18, 2021.

Ayodeji Emmanuel Iyanda, Kwadwo Adu Boakye

Open access · greenAbstract read
In one paragraph

Article in Geriatric nursing (New York, N.Y.). 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
1.7field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Observational
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

2 authors at 2 institutions in 1 country.

Ayodeji Emmanuel IyandaDivision of Social Sciences, Prairie View A&M University, Prairie View, TX 77446, USA. Electronic address: aeiyanda@pvamu.edu.
Kwadwo Adu BoakyeSchool of Biological and Population Health Sciences, Oregon State University, Corvallis, OR, USA.
Oregon State University · USPrairie View A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nursing home residents are highly susceptible to COVID-19 infection and complications. We used a generalized linear mixed Poisson model and spatial statistics to examine the determinants of COVID-19 deaths in 13,350 nursing homes in the first 2-year pandemic period using the Centers for Medicare and Medicaid Services and county-level related data. The average prevalence of COVID-19 mortality among residents was 9.02 (Interquartile range = 10.18) per 100 nursing home beds in the first 2-year of the pandemic. Fully-adjusted mixed model shows that nursing homes COVID-19 deaths reduced by 5% (Q2 versus Q1: IRR = 0.949, 95% CI 0.901- 0.999), 14.4% (Q3 versus Q1: IRR = 0.815, 95% CI 0.718 - 0.926), and 25% (Q2 versus Q1: IRR = 0.751, 95% CI 0.701- 0.805) of facility ratings. Spatial analysis showed a significant hotspot of nursing home COVID-19 deaths in the Northeast US. This study contributes to nursing home quality assessment for improving residents' health.

Indexed as

COVID-19PandemicsAgedDemographyHumansMedicareNursing HomesUnited StatesCOVID-19 deathsMedical geographyNortheast USNursing homesSARS-CoV-2Spatial analysis

Identifiers

PMID35248837
PMCPMC8858698
OpenAlexW4213372725

What OpenQuestion holds

Textmetadata
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.