Evidence map›Paper›PMID 41075830›Full record

ArticleJournal of the American Medical Directors Association2025

Turnover in Nursing Homes That Serve Residents With Serious Mental Illness.

Hannah C Ratliff, Jenna Case, Hyungjin Myra Kim, Kali S Thomas, Kathleen T Unroe, Sarah L Krein, Steven C Marcus, Donovan T Maust

Abstract read
In one paragraph

Article in Journal of the American Medical Directors Association, 2025. 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

8 authors.

Hannah C RatliffDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, USA. Electronic address: Hratliff@umich.edu.
Jenna CaseDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
Hyungjin Myra KimCenter for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA; Institute of Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.
Kali S ThomasJohns Hopkins School of Nursing, Baltimore, MD, USA.
Kathleen T UnroeDivision of General Internal Medicine and Geriatrics, Indiana University School of Medicine, Indianapolis, IN, USA.
Sarah L KreinCenter for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA; Institute of Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA; Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Steven C MarcusSchool of Social Policy and Practice, University of Pennsylvania, Philadelphia, PA, USA.
Donovan T MaustDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, USA; Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA; Institute of Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.

Funding

The Impact of Alzheimer’s Disease and Related Dementias on Nursing Home Care and Quality for Persons with Serious Mental IllnessRF1AG082011 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DONOVAN T MAUST · 2023 to 2026
$3.7M
HSRD VA IK6 HX003399NIA NIH HHS RF1 AG082011
6 · The paper itself

Abstract

objectivesTo examine whether nursing facility proportion of residents with serious mental illness (SMI) is associated with nursing staff turnover.

designCross-sectional analysis of employee-level payroll data from the Centers for Medicare and Medicaid Services, examining facility-level annual staff turnover and the proportion of residents with SMI derived using the Minimum Data Set 3.0, adjusting for other facility, resident, and county characteristics. SETTING AND

participantsUS nursing homes in 2022 (N = 14,124).

methodsLinear mixed models with states as random intercepts. Dependent variables were annual turnover for nursing aides, licensed practical nurses, registered nurses, and nurse administrators. The primary exposure variable was the proportion of residents with SMI, categorized into 4 groups. Control variables included facility and resident characteristics, and employee hours per resident day.

resultsThe interquartile range for the percent of residents with SMI is 5.0% to 15.1%. Average annual turnover exceeded 50% for all staff types; registered nurses and nurse administrators had the highest turnover (54.1%; 95% CI, 53.7%-54.5% and 95% CI, 53.6%-54.6%, respectively). High SMI serving nursing homes generally had higher unadjusted turnover than low SMI serving facilities. Adjusting for covariates, however, there was no consistent relationship between SMI proportion and turnover within or between staffing roles. For example, relative to SMI quartile 1, turnover was higher for licensed practical nurses in quartile 2 (50.2%; 95% CI, 48.8%-51.6% vs 49.0%; 95% CI, 47.5%-50.5%; P = .03), for registered nurses in quartile 4 (53.9%; 95% CI, 52.3%-55.5% vs 51.6%; 95% CI, 50.2%-53.1%; P < .01), and for nurse administrators in quartile 3 (53.1%; 95% CI, 51.4%-54.9% vs 51.3%; 95% CI, 49.6%-53.1%; P = .02). CONCLUSION AND IMPLICATIONS: Nursing home staff turnover rates were high across staff types with no meaningful relationship or consistent trends between the proportion of residents with SMI and staff turnover. Nursing homes might focus on other factors when developing strategies to reduce turnover, rather than those specific to residents with SMI.

Indexed as

Mental DisordersNursing HomesNursing StaffPersonnel TurnoverAgedCross-Sectional StudiesFemaleHumansMaleUnited Statesdelivery of health caremental healthNursing homesnursing staffworkforce

Identifiers

PMID41075830
PMCPMC12614306

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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.