Evidence map›Paper›PMID 34529958›Full record

ArticleJournal of the American Medical Directors Association2021

SARS-CoV-2 and Wisconsin Nursing Homes: Temporal Dynamics During the COVID-19 Pandemic.

Cameron G Gmehlin, Frida Rivera, Jorge A Ramos-Castaneda, Liliana E Pezzin, Diane Ehn, Edmund H Duthie, L Silvia Muñoz-Price

Abstract read
In one paragraph

Article in Journal of the American Medical Directors Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Cameron G GmehlinDivision of Infectious Diseases, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.
Frida RiveraDivision of Infectious Diseases, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.
Jorge A Ramos-CastanedaResearch Group Innovación y Cuidado, Faculty of Nursing, Universidad Antonio Nariño, Neiva, Colombia.
Liliana E PezzinCollaborative for Healthcare Delivery Science, Medical College of Wisconsin, Milwaukee, WI, USA; Institute for Health and Equity, Medical College of Wisconsin, Milwaukee, WI, USA.
Diane EhnFroedtert Health, Milwaukee, WI, USA.
Edmund H DuthieDivision of Geriatrics and Palliative Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.
L Silvia Muñoz-PriceDivision of Infectious Diseases, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA. Electronic address: smunozprice@mcw.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesEvidence suggests that quality, location, and staffing levels may be associated with COVID-19 incidence in nursing homes. However, it is unknown if these relationships remain constant over time. We describe incidence rates of COVID-19 across Wisconsin nursing homes while examining factors associated with their trajectory during 5 months of the pandemic.

designRetrospective cohort study. SETTING/

participantsWisconsin nursing homes.

methodsPublicly available data from June 1, 2020, to October 31, 2020, were obtained. These included facility size, staffing, 5-star Medicare rating score, and components. Nursing home characteristics were compared using Pearson chi-square and Kruskal-Wallis tests. Multiple linear regressions were used to evaluate the effect of rurality on COVID-19.

resultsThere were a total of 2459 COVID-19 cases across 246 Wisconsin nursing homes. Number of beds (P < .001), average count of residents per day (P < .001), and governmental ownership (P = .014) were associated with a higher number of COVID-19 cases. Temporal analysis showed that the highest incidence rates of COVID-19 were observed in October 2020 (30.33 cases per 10,000 nursing home occupied-bed days, respectively). Urban nursing homes experienced higher incidence rates until September 2020; then incidence rates among rural nursing homes surged. In the first half of the study period, nursing homes with lower-quality scores (1-3 stars) had higher COVID-19 incidence rates. However, since August 2020, incidence was highest among nursing homes with higher-quality scores (4 or 5 stars). Multivariate analysis indicated that over time rural location was associated with increased incidence of COVID-19 (β = 0.05, P = .03). CONCLUSIONS AND IMPLICATIONS: Higher COVID-19 incidence rates were first observed in large, urban nursing homes with low-quality rating. By October 2020, the disease had spread to rural and smaller nursing homes and those with higher-quality ratings, suggesting that community transmission of SARS-CoV-2 may have propelled its spread.

Indexed as

COVID-19PandemicsAgedHumansMedicareNursing HomesRetrospective StudiesSARS-CoV-2United StatesWisconsin5-star ratingCOVID-19nursing homesqualitySARS-CoV-2

Identifiers

PMID34529958
PMCPMC8390373

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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.