Evidence map›Paper›PMID 42093840›Full record

ArticleHealth affairs scholar2026

Invisible staffing churn in nursing homes: CMS turnover metrics miss a growing short-term workforce.

Stephen Petterson, Katherine M Winter, J William Kerns, Danya M Qato, Linda Wastila, Nicole Brandt, Yu-Hua Fu, Roy T Sabo, YoonKyung Chung, Adam J Funk and 2 more

Abstract read
In one paragraph

Article in Health affairs scholar, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Stephen PettersonDepartment of Family Medicine and Population Health, Virginia Commonwealth University School of Medicine, Richmond, VA 23224, United States.ORCID https://orcid.org/0000-0002-2227-4307
Katherine M WinterShenandoah University School of Nursing, Winchester, VA 22601, United States.ORCID https://orcid.org/0009-0005-5781-2776
J William KernsDepartment of Family Medicine and Population Health, Virginia Commonwealth University School of Medicine, Richmond, VA 23224, United States.ORCID https://orcid.org/0009-0003-2056-273X
Danya M QatoDepartment of Practice, Sciences, and Health Outcomes Research, University of Maryland School of Pharmacy, Baltimore, MD 21201, United States.ORCID https://orcid.org/0000-0002-6355-1526
Linda WastilaDepartment of Practice, Sciences, and Health Outcomes Research, University of Maryland School of Pharmacy, Baltimore, MD 21201, United States.ORCID https://orcid.org/0000-0001-5363-1816
Nicole BrandtDepartment of Practice, Sciences, and Health Outcomes Research, University of Maryland School of Pharmacy, Baltimore, MD 21201, United States.ORCID https://orcid.org/0000-0003-2766-6120
Yu-Hua FuDepartment of Practice, Sciences, and Health Outcomes Research, University of Maryland School of Pharmacy, Baltimore, MD 21201, United States.ORCID https://orcid.org/0009-0000-9978-0323
Roy T SaboDepartment of Family Medicine and Population Health, Virginia Commonwealth University School of Medicine, Richmond, VA 23224, United States.ORCID https://orcid.org/0000-0001-9159-4876
YoonKyung ChungHarvey L. Neiman Health Policy Institute, Reston, VA 20191, United States.ORCID https://orcid.org/0000-0003-3162-1275
Adam J FunkDepartment of Family Medicine and Population Health, Virginia Commonwealth University School of Medicine, Richmond, VA 23224, United States.ORCID https://orcid.org/0009-0003-2304-7573
Alex H KristDepartment of Family Medicine and Population Health, Virginia Commonwealth University School of Medicine, Richmond, VA 23224, United States.ORCID https://orcid.org/0000-0003-4060-9155
Jonathan D WinterDepartment of Family Medicine and Population Health, Virginia Commonwealth University School of Medicine, Richmond, VA 23224, United States.ORCID https://orcid.org/0000-0001-8650-5066

Funding

Prescribing trends and associated outcomes of antiepileptic drugs and other psychoactive medications in US nursing homes surrounding the COVID-19 pandemicR01AG074358 · NIA · VIRGINIA COMMONWEALTH UNIVERSITY · PI Jonathan David Winter · 2022 to 2026
$3.6M
NIA NIH HHS R01 AG074358
6 · The paper itself

Abstract

Introduction: Federal policy mandates adequate nursing home (NH) staffing, yet staffing adequacy remains difficult to define and measure. In 2022, the Centers for Medicare & Medicaid Services (CMS) incorporated annual turnover into Five-Star Ratings but adopted a definition excluding staff below a 120-hour-in-90-days threshold, potentially underestimating turnover and weakening validity. Methods: Using Payroll-Based Journal and CareCompare data (2020Q2-2024Q1), we replicated CMS-reported turnover and constructed an inclusive measure counting new hires. We assessed divergence between definitions, associations with ten standardized CMS quality indicators, and changes in facility rankings. Results: By 2022-2023, 45% of nursing hires were excluded under CMS's definition. As short-term staffing increased, CMS-specification and inclusive turnover diverged (correlation 0.91-0.82). Associations with quality outcomes were modest and similar across definitions. However, facility rankings differed substantially: only 30% of facilities remained in the same turnover decile, with reclassification concentrated among NHs with high short-term attrition, greater contract use, and distinct ownership and payer mix. Conclusion: CMS turnover metrics miss nearly half of turnover, understating instability and reshaping facility comparisons without improving associations with quality outcomes. As short-term staffing expands, the CMS measure risks becoming less informative about workforce instability, underscoring how metric definitions shape oversight and reporting.

Indexed as

instabilitylong-term carenursing homequality-measurestabilitystaffingturnover

Identifiers

PMID42093840
PMCPMC13143168

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.