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

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.

Authors

Institutions

Publication Details

Journal
Health Affairs Scholar
Published
2026-04-17
DOI
https://doi.org/10.1093/haschl/qxag094
Primary Topic
Geriatric Care and Nursing Homes
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Nicole Brandt, YoonKyung Chung, Alex H. Krist, J. William Kerns et al.
Health Affairs Scholar
Geriatric Care and Nursing Homes
article

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

Nicole Brandt, YoonKyung Chung, Alex H. Krist, J. William Kerns, Danya M. Qato, Linda Simoni‐Wastila, Jonathan D. Winter, Yu‐Hua Fu, Roy Sabo, Adam J. Funk, Stephen Petterson, Katherine M Winter CFNP
article en

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.

Health Affairs ScholarVol. 4(5)
University of Maryland, Baltimore (US), Virginia Commonwealth University (US), Shenandoah University (US), Harvey L. Neiman Health Policy Institute (US), National Institute on Aging (US)
National Institutes of Health, National Institute on Aging
Openalex Percentile: Top 19%
Geriatric Care and Nursing Homes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.