Evidence map›Paper›PMID 35412383›Full record

ArticleJournal of applied gerontology : the official journal of the Southern Gerontological Society2022

Southeastern United States Predictors of COVID-19 in Nursing Homes.

Sandi J Lane, Maggie Sugg, Trent J Spaulding, Adam Hege, Lakshmi Iyer

Abstract read
In one paragraph

Article in Journal of applied gerontology : the official journal of the Southern Gerontological Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Evaluating Policies to Decrease the Risk of Introducing SARS-CoV-2 Infections to Nursing Home Facilities.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2023
    Article
  4. Residential Environment Assessment by Older Adults in Nursing Homes during COVID-19 Outbreak.International journal of environmental research and public health · 2022
    Article
  5. 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

5 authors.

Sandi J LaneDepartment of Nutrition and Health Care Management, 539559Appalachian State University, Boone, NC, USA.ORCID 0000-0001-6729-3555
Maggie SuggDepartment of Geography and Planning, 539559Appalachian State University, Boone, NC, USA.
Trent J SpauldingDepartment of Nutrition and Health Care Management, 539559Appalachian State University, Boone, NC, USA.
Adam HegeDepartment of Public Health, 539559Appalachian State University, Boone, NC, USA.
Lakshmi IyerDepartment of Computer Information Systems, 539559Appalachian State University, Boone, NC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study's aim was to determine nursing home (NH) and county-level predictors of COVID-19 outbreaks in nursing homes (NHs) in the southeastern region of the United States across three time periods. NH-level data compiled from census data and from NH compare and NH COVID-19 infection datasets provided by the Center for Medicare and Medicaid Services cover 2951 NHs located in 836 counties in nine states. A generalized linear mixed-effect model with a random effect was applied to significant factors identified in the final stepwise regression. County-level COVID-19 estimates and NHs with more certified beds were predictors of COVID-19 outbreaks in NHs across all time periods. Predictors of NH cases varied across the time periods with fewer community and NH variables predicting COVID-19 in NH during the late period. Future research should investigate predictors of COVID-19 in NH in other regions of the US from the early periods through March 2021.

Indexed as

COVID-19Nursing HomesAgedCenters for Medicare and Medicaid Services, U.S.HumansMedicareSoutheastern United StatesUnited StatesCOVID-19Nursing homeSoutheastern United States

Identifiers

PMID35412383
PMCPMC9098783

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.