Evidence map›Paper›PMID 37218116›Full record

ArticleJournal of the American Geriatrics Society2023

Nursing home infection control strategies during the COVID-19 pandemic.

Natalia Festa, Nina Katz-Christy, Max Weiss, Rebecca Lisk, Sharon-Lise Normand, David C Grabowski, Joseph P Newhouse, John Hsu

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 2 institutions in 1 country.

Natalia FestaDepartment of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0003-4487-6832
Nina Katz-ChristyMongan Institute, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Max WeissMongan Institute, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Rebecca LiskMongan Institute, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-0946-8190
Sharon-Lise NormandDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
David C GrabowskiDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts, USA.
Joseph P NewhouseDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts, USA.
John HsuMongan Institute, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Harvard University · USNational Bureau of Economic Research · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Tradeoffs in the Design of Public Long-Term Care BenefitsP01AG032952 · NIA · HARVARD MEDICAL SCHOOL · PI Bruce E. Landon · 2009 to 2026
$39.0M
NRSA Training CoreTL1TR001864 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$9.9M
Yale Training Program in Geriatric Clinical Epidemiology and Aging-Related ResearchT32AG019134 · NIA · YALE UNIVERSITY · PI Terri R. Fried · 2001 to 2026
$7.5M
COVID-19 and Acute Medical Care: Impact on Dementia PatientsR01AG062282 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI HSU, JOHN · 2018 to 2022
$4.5M
Impact of the COVID-19 Pandemic on Patients with Alzheimer's Disease and Alzheimer's Disease Related DementiasU01AG076478 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI HSU, JOHN · 2021 to 2025
$4.1M
Impact of Medicare Polices on Beneficiaries with ADRDRF1AG083033 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI JOHN HSU, SHARON-LISE Teresa NORMAND · 2023 to 2026
$4.1M
NCATS NIH HHS TL1 TR001864NCATS NIH HHS UL1 TR001863NIA NIH HHS P01 AG032952NIA NIH HHS R01 AG062282NIA NIH HHS RF1 AG083033NIA NIH HHS T32 AG019134NIA NIH HHS U01 AG076478
6 · The paper itself

Abstract

backgroundThe American Rescue Plan Act of 2021 awarded $500 million toward scaling "strike teams" to mitigate the impact of Coronavirus Disease 2019 (COVID-19) within nursing homes. The Massachusetts Nursing Facility Accountability and Support Package (NFASP) piloted one such model during the first weeks of the pandemic, providing nursing homes financial, administrative, and educational support. For a subset of nursing homes deemed high-risk, the state offered supplemental, in-person technical infection control support.

methodsUsing state death certificate data and federal nursing home occupancy data, we examined longitudinal all-cause mortality per 100,000 residents and changes in occupancy across NFASP participants and subgroups that varied in their receipt of the supplemental intervention.

resultsNursing home mortality peaked in the weeks preceding the NFASP, with a steeper increase among those receiving the supplemental intervention. There were contemporaneous declines in weekly occupancy. The potential for temporal confounding and differential selection across NFASP subgroups precluded estimation of causal effects of the intervention on mortality.

conclusionsWe offer policy and design suggestions for future strike team iterations that could inform the allocation of state and federal funding. We recommend expanded data collection infrastructure and, ideally, randomized assignment to intervention subgroups to support causal inference as strike team models are scaled under the direction of state and federal agencies.

Indexed as

COVID-19HumansInfection ControlNursing HomesPandemicsSkilled Nursing FacilitiesAmerican Rescue Plan Act of 2021COVID-19nursing homesolder adultsstrike teams

Identifiers

PMID37218116
PMCPMC10702332
OpenAlexW4377565203

What OpenQuestion holds

Textmetadata
LicenceTDM
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.