Evidence map›Paper›PMID 41026488›Full record

ArticleJAMA network open2025

Barriers to Discharge for Nursing Home Residents With Serious Mental Illness.

Charity M Hoffman, Hannah C Ratliff, Sarah L Krein, Kierstdea Petzold, Kathleen T Unroe, Kali S Thomas, Molly Turnwald, Erika Ratliff, Terrence Gatton, Donovan T Maust

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Charity M HoffmanDepartment of Psychiatry, University of Michigan, Ann Arbor.
Hannah C RatliffDepartment of Psychiatry, University of Michigan, Ann Arbor.
Sarah L KreinDepartment of Internal Medicine, University of Michigan, Ann Arbor.
Kierstdea PetzoldCenter for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan.
Kathleen T UnroeDepartment of Medicine, Geriatrics, Indiana University, Indianapolis.
Kali S ThomasJohns Hopkins School of Nursing, Baltimore, Maryland.
Molly TurnwaldDepartment of Psychiatry, University of Michigan, Ann Arbor.
Erika RatliffDepartment of Psychiatry, University of Michigan, Ann Arbor.
Terrence GattonDepartment of Psychiatry, University of Michigan, Ann Arbor.
Donovan T MaustDepartment of Psychiatry, University of Michigan, Ann Arbor.

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

Importance: Nursing homes deliver rehabilitative and long-term care for people with serious medical illnesses, functional impairment, and/or cognitive impairment. The population of nursing home residents with serious mental illness (ie, bipolar disorder, schizophrenia, other psychotic disorders) has grown substantially. Other than prisons and jails, nursing homes are the largest institutional care setting for adults (aged ≥18 years) with serious mental illness. Nursing home residents with serious mental illness become long-term residents despite less functional impairment, which may be a function of difficulty discharging these individuals to the community. Objective: To examine barriers associated with discharging nursing home residents with serious mental illness back to the community from the perspective of frontline staff and administrative leaders. Design, Setting, and Participants: This qualitative study included semistructured interviews conducted by phone and videoconferencing with staff members at nursing homes across the US between August 29, 2024, and January 9, 2025. Nursing homes that deliver care to patients with serious mental illness were identified using LTCFocus. Main Outcomes and Measures: Themes and subthemes that represented barriers to discharge were analyzed from interview notes and transcripts using a rapid qualitative analysis approach. Results: Interviews were conducted with 15 staff members (mean [SD] age, 44.7 [12.6] years; 13 women [86.7%]) from 8 nursing homes. Staff roles included social services directors (8 participants [53.3%]), social workers or related roles (3 participants [20.0%]), and administrators or other roles (eg, executive director, memory care coordinator, behavioral unit manager of a lock unit) (4 participants [26.7%]). Participants identified multiple barriers to discharge at individual (eg, behavioral issues, medication compliance, withholding information, refusal to leave, comorbidities), relational (eg, lack of family support, strain on professional relationships), and structural (eg, limitations of insurance coverage, barriers to facility admissions, lack of substance and psychiatric treatment, waiting lists, transportation) levels, which together limited pathways to community discharge for residents with serious mental illness. Conclusions and Relevance: This qualitative study found that multiple intersecting barriers are associated with discharging nursing home residents with serious mental illness back to the community, which may lead to clinically inappropriate long-term stays for those who could theoretically have been in a lower level of care setting. These findings suggest that enabling successful discharge to the community for nursing home residents with serious mental illness may require collaborative strategies that address individual, relational, and structural factors.

Indexed as

Mental DisordersNursing HomesPatient DischargeAdultAgedFemaleHumansMaleMiddle AgedQualitative ResearchUnited States

Identifiers

PMID41026488
PMCPMC12485640

What OpenQuestion holds

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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.