Evidence map›Paper›PMID 34911354›Full record

ArticlePsychiatric services (Washington, D.C.)2022

Quality of Nursing Homes Admitting Working-Age Adults With Serious Mental Illness.

Julie Hugunin, Qiaoxi Chen, Jonggyu Baek, Robin E Clark, Kate L Lapane, Christine M Ulbricht

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Psychiatric services (Washington, D.C.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Turnover in Nursing Homes That Serve Residents With Serious Mental Illness.Journal of the American Medical Directors Association · 2025
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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

6 authors at 1 institution in 1 country.

Julie HuguninClinical and Population Health Research Program, Morningside Graduate School of Biomedical Sciences (Hugunin, Chen, Baek, Clark, Lapane), and Department of Population and Quantitative Health Sciences (Hugunin, Chen, Baek, Clark, Lapane, Ulbricht), UMass Chan Medical School, University of Massachusetts, Worcester; National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland (Ulbricht).
Qiaoxi ChenClinical and Population Health Research Program, Morningside Graduate School of Biomedical Sciences (Hugunin, Chen, Baek, Clark, Lapane), and Department of Population and Quantitative Health Sciences (Hugunin, Chen, Baek, Clark, Lapane, Ulbricht), UMass Chan Medical School, University of Massachusetts, Worcester; National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland (Ulbricht).
Jonggyu BaekClinical and Population Health Research Program, Morningside Graduate School of Biomedical Sciences (Hugunin, Chen, Baek, Clark, Lapane), and Department of Population and Quantitative Health Sciences (Hugunin, Chen, Baek, Clark, Lapane, Ulbricht), UMass Chan Medical School, University of Massachusetts, Worcester; National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland (Ulbricht).
Robin E ClarkClinical and Population Health Research Program, Morningside Graduate School of Biomedical Sciences (Hugunin, Chen, Baek, Clark, Lapane), and Department of Population and Quantitative Health Sciences (Hugunin, Chen, Baek, Clark, Lapane, Ulbricht), UMass Chan Medical School, University of Massachusetts, Worcester; National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland (Ulbricht).
Kate L LapaneClinical and Population Health Research Program, Morningside Graduate School of Biomedical Sciences (Hugunin, Chen, Baek, Clark, Lapane), and Department of Population and Quantitative Health Sciences (Hugunin, Chen, Baek, Clark, Lapane, Ulbricht), UMass Chan Medical School, University of Massachusetts, Worcester; National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland (Ulbricht).
Christine M UlbrichtClinical and Population Health Research Program, Morningside Graduate School of Biomedical Sciences (Hugunin, Chen, Baek, Clark, Lapane), and Department of Population and Quantitative Health Sciences (Hugunin, Chen, Baek, Clark, Lapane, Ulbricht), UMass Chan Medical School, University of Massachusetts, Worcester; National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland (Ulbricht).
Centralne Laboratorium Kryminalistyczne Policji · PL

Funding

Medical Scientist Training at UMMS Administrative SupplementT32GM107000 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI KIEFE, CATARINA I. · 2013 to 2022
$4.9M
University of Massachusetts Center for Clinical and Translational ScienceTL1TR001454 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LEWIS, BRIAN C · 2015 to 2024
$3.6M
Understanding working-age adults with mental illness living in nursing homesR21MH117262 · NIMH · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LAPANE, KATE L · 2018 to 2019
$600k
NCATS NIH HHS TL1 TR001454NIGMS NIH HHS T32 GM107000NIMH NIH HHS R21 MH117262
6 · The paper itself

Abstract

objectiveThis cross-sectional study examined the association between nursing home quality and admission of working-age persons (ages 22-64 years) with serious mental illness.

methodsThe study used 2015 national Minimum Data Set 3.0 and Nursing Home Compare (NHC) data. A logistic mixed-effects model estimated the likelihood (adjusted odds ratios [AORs] and 95% confidence intervals [CIs]) of a working-age nursing home resident having serious mental illness, by NHC health inspection quality rating. The variance partition coefficient (VPC) was calculated to quantify the variation in serious mental illness attributable to nursing home characteristics. Measures included serious mental illness (i.e., schizophrenia, bipolar disorder, and other psychotic disorders), health inspection quality rating (ranging from one star, below average, to five stars, above average), and other sociodemographic and clinical covariates.

resultsOf the 343,783 working-age adults newly admitted to a nursing home in 2015 (N=14,307 facilities), 15.5% had active serious mental illness. The odds of a working-age resident having serious mental illness was lowest among nursing homes of above-average quality, compared with nursing homes of below-average quality (five-star vs. one-star facility, AOR=0.78, 95% CI=0.73-0.84). The calculated VPC from the full model was 0.11.

conclusionsThese findings indicate an association between below-average nursing homes and admission of working-age persons with serious mental illness, suggesting that persons with serious mental illness may experience inequitable access to nursing homes of above-average quality. Access to alternatives to care, integration of mental health services in the community, and improving mental health care in nursing homes may help address this disparity.

Indexed as

Psychotic DisordersSchizophreniaAdultCross-Sectional StudiesHumansMiddle AgedNursing HomesPatient AdmissionUnited StatesYoung AdultNursing homesQuality of careSchizoaffective disordersSchizophreniaSerious mental illness

Identifiers

PMID34911354
PMCPMC9200905
OpenAlexW4200178324

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.