Evidence map›Paper›PMID 38487822›Full record

ArticleInfection control and hospital epidemiology2024

Comparing multiple infection control measures in a nursing home setting: a simulation study.

Haomin Li, Daniel K Sewell, Ted Herman, Sriram V Pemmeraju, Alberto M Segre, Aaron C Miller, Philip M Polgreen, CDC MInD-Healthcare Group

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Infection control and hospital epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 96% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. 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

8 authors at 1 institution in 1 country.

Haomin LiDepartment of Biostatistics, University of Iowa, Iowa City, IA, USA.
Daniel K SewellDepartment of Biostatistics, University of Iowa, Iowa City, IA, USA.ORCID https://orcid.org/0000-0002-9238-4026
Ted HermanDepartment of Computer Science, University of Iowa, Iowa City, IA, USA.
Sriram V PemmerajuDepartment of Computer Science, University of Iowa, Iowa City, IA, USA.
Alberto M SegreDepartment of Computer Science, University of Iowa, Iowa City, IA, USA.ORCID https://orcid.org/0000-0002-8886-6559
Aaron C MillerDepartment of Internal Medicine, University of Iowa, Iowa City, IA, USA.
Philip M PolgreenDepartment of Internal Medicine, University of Iowa, Iowa City, IA, USA.
CDC MInD-Healthcare Group
University of Iowa · US

Funding

Vector Core-Core 2P30DK054759 · NIDDK · UNIVERSITY OF IOWA · PI Alejandro Antonio Pezzulo · 1998 to 2026
$30.5M
NCEZID CDC HHS U01 CK000594NIDDK NIH HHS P30 DK054759
6 · The paper itself

Abstract

objectiveCompare the effectiveness of multiple mitigation measures designed to protect nursing home residents from infectious disease outbreaks.

designAgent-based simulation study.

settingSimulation environment of a small nursing home.

methodsWe collected temporally detailed and spatially fine-grained location information from nursing home healthcare workers (HCWs) using sensor motes. We used these data to power an agent-based simulation of a COVID-19 outbreak using realistic time-varying estimates of infectivity and diagnostic sensitivity. Under varying community prevalence and transmissibility, we compared the mitigating effects of (i) regular screening and isolation, (ii) inter-resident contact restrictions, (iii) reduced HCW presenteeism, and (iv) modified HCW scheduling.

resultsAcross all configurations tested, screening every other day and isolating positive cases decreased the attack rate by an average of 27% to 0.501 on average, while contact restrictions decreased the attack rate by an average of 35%, resulting in an attack rate of only 0.240, approximately half that of screening/isolation. Combining both interventions impressively produced an attack rate of only 0.029. Halving the observed presenteeism rate led to an 18% decrease in the attack rate, but if combined with screening every 6 days, the effect of reducing presenteeism was negligible. Altering work schedules had negligible effects on the attack rate.

conclusionsUniversal contact restrictions are highly effective for protecting vulnerable nursing home residents, yet adversely affect physical and mental health. In high transmission and/or high community prevalence situations, restricting inter-resident contact to groups of 4 was effective and made highly effective when paired with weekly testing.

Indexed as

COVID-19Infection ControlNursing HomesComputer SimulationHealth PersonnelHumansPresenteeismSARS-CoV-2

Identifiers

PMID38487822
PMCPMC11439596
OpenAlexW4392863636

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.