Evidence map›Paper›PMID 34919836›Full record

ArticleJournal of the American Medical Directors Association2022

Characteristics of Working-Age Adults With Schizophrenia Newly Admitted to Nursing Homes.

Julie Hugunin, Yiyang Yuan, Jonggyu Baek, Robin E Clark, Anthony J Rothschild, Kate L Lapane, Christine M Ulbricht

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

Article in Journal of the American Medical Directors Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 1 country.

Julie HuguninClinical and Population Health Research PhD Program, Graduate School of Biomedical Sciences, University of Massachusetts Medical School, Worcester, MA, USA; Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA. Electronic address: julie.hugunin@umassmed.edu.
Yiyang YuanClinical and Population Health Research PhD Program, Graduate School of Biomedical Sciences, University of Massachusetts Medical School, Worcester, MA, USA; Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA.
Jonggyu BaekClinical and Population Health Research PhD Program, Graduate School of Biomedical Sciences, University of Massachusetts Medical School, Worcester, MA, USA; Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA.
Robin E ClarkClinical and Population Health Research PhD Program, Graduate School of Biomedical Sciences, University of Massachusetts Medical School, Worcester, MA, USA; Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA; Department of Family Medicine and Community Health, University of Massachusetts Medical School, Worcester, MA, USA.
Anthony J RothschildDepartment of Psychiatry, University of Massachusetts Medical School, Worcester, MA, USA; UMass Memorial Healthcare, Worcester, MA, USA.
Kate L LapaneClinical and Population Health Research PhD Program, Graduate School of Biomedical Sciences, University of Massachusetts Medical School, Worcester, MA, USA; Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA.
Christine M UlbrichtClinical and Population Health Research PhD Program, Graduate School of Biomedical Sciences, University of Massachusetts Medical School, Worcester, MA, USA; Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA; Department of Psychiatry, University of Massachusetts Medical School, Worcester, MA, USA.
University of Massachusetts Chan Medical School · USUMass Memorial Health Care · US

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

objectivesPersons aged <65 years account for a considerable proportion of US nursing home residents with schizophrenia. Because they are often excluded from psychiatric and long-term care studies, a contemporary understanding of the characteristics and management of working-age adults (22-64 years old) with schizophrenia living in nursing homes is lacking. This study describes characteristics of working-age adults with schizophrenia admitted to US nursing homes in 2015 and examines variations in these characteristics by age and admission location. Factors associated with length of stay and discharge destination were also explored.

designThis is a cross-sectional study using the Minimum Data Set 3.0 merged to Nursing Home Compare. SETTING AND

participantsThis study examines working-age (22-64 years) adults with schizophrenia at admission to a nursing home.

methodsDescriptive statistics of resident characteristics (sociodemographic, clinical comorbidities, functional status, and treatments) and facility characteristics (ownership, geography, size, and star ratings) were examined overall, stratified by age and by admission location. Generalized estimating equation models were used to explore the associations of age, discharge to the community, and length of stay with relevant resident and facility characteristics. Coefficient estimates, adjusted odds ratios, and 95% CIs are presented.

resultsOverall, many of the 28,330 working-age adults with schizophrenia had hypertension, diabetes, and obesity. Those in older age subcategories tended to have physical functional dependencies, cognitive impairments, and clinical comorbidities. Those in younger age subcategories tended to exhibit higher risk of psychiatric symptoms. CONCLUSIONS AND IMPLICATIONS: Nursing home admission is likely inappropriate for many nursing home residents with schizophrenia aged <65 years, especially those in younger age categories. Future psychiatric and long-term care research should include these residents to better understand the role of nursing homes in their care and should explore facility-level characteristics that may impact quality of care.

Indexed as

SchizophreniaAdultCross-Sectional StudiesHumansLong-Term CareMiddle AgedNursing HomesPatient DischargeYoung Adultdelivery of health carelong-term carenursing homespsychiatric careSchizophrenia

Identifiers

PMID34919836
PMCPMC9192830
OpenAlexW4200322610

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.