Evidence map›Paper›PMID 39687045›Full record

ArticleHealth affairs scholar2024

Incorporating staffing instability in the nursing home Five-Star Staffing Composite.

Dana B Mukamel, Debra Saliba, Heather Ladd, R Tamara Konetzka

Abstract read
In one paragraph

Article in Health affairs scholar, 2024. 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

4 authors.

Dana B MukameliTEQC Research Program, Department of Medicine, Division of General Internal Medicine, University of California, Irvine, Irvine, CA 92617-3056, United States.
Debra SalibaDepartment of Medicine, UCLA Borun Center, David Geffen School of Medicine, University of california, Los Angeles, CA 90095-1687, United States.ORCID https://orcid.org/0000-0001-5177-6616
Heather LaddiTEQC Research Program, Department of Medicine, Division of General Internal Medicine, University of California, Irvine, Irvine, CA 92617-3056, United States.ORCID https://orcid.org/0000-0003-4427-7178
R Tamara KonetzkaLouis Block Professor of Public Health Sciences and the College, Department of Medicine, The University of Chicago, Chicago, IL 60637-1447, United States.

Funding

Staffing and Health Outcomes in Nursing Homes for Residents with and without DementiaR01AG066742 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI MUKAMEL, DANA B · 2020 to 2024
$3.0M
NIA NIH HHS R01 AG066742
6 · The paper itself

Abstract

Staffing is an important indicator of nursing home quality and resident health outcomes. The Five-Star staffing ratings in Nursing Home Care Compare, the report card published by the Centers for Medicare and Medicaid Services, is based on average hours per resident-day and turnover measures. Studies have shown that a new measure of staffing instability, capturing day-to-day staffing variation, is associated with resident outcomes and provides additional information about quality not reflected in the current Five-Star staffing ratings. In this paper we simulate the impact of including the new staffing instability measure on staffing ratings for 13 641 nursing homes nationwide, using data for the third quarter of 2023. We found that, under a conservative scenario, 21% of nursing homes perform well or poorly enough on instability that this addition would change their current staffing rating, providing consumers with additional information about quality for these facilities, with minimal disruptions to the rating system as a whole. We also demonstrate that the choice of weights for each of the measures included in the Five-Star ratings matters. These weights should reflect policy priorities. We conclude that the Centers for Medicare and Medicaid Services can and should add staffing instability to its Five-Star staffing ratings.

Indexed as

nursing homesquality report cardsstaffing

Identifiers

PMID39687045
PMCPMC11646700

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.