Evidence map›Paper›PMID 31011096›Full record

ArticleGeriatrics (Basel, Switzerland)2018

The Acute Care for Elders Unit Model of Care.

Robert M Palmer

Open access · goldAbstract read
In one paragraph

Article in Geriatrics (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 5% 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 99 citations in OpenAlex.

  1. Prevalence of Hospital-Associated Disability in Older Adults: A Meta-analysis.Journal of the American Medical Directors Association · 2020
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  19. Research progress in the hospitalization-associated disability among elderly patients.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2023
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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

1 author at 1 institution in 1 country.

Robert M PalmerInternal Medicine, Eastern Virginia Medical School 825 Fairfax Avenue, Suite 201 Norfolk, VA 23507, USA. palmerrm@evms.edu.
Eastern Virginia Medical School · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Older patients are at risk for loss of self-care abilities during the course of an acute medical illness that results in hospitalization. The Acute Care for Elders (ACE) Unit is a continuous quality improvement model of care designed to prevent the patient's loss of independence from admission to discharge in the performance of activities of daily living (hospital-associated disability). The ACE unit intervention includes principles of a prepared environment that encourages safe patient self-care, a set of clinical guidelines for bedside care by nurses and other health professionals to prevent patient disability and restore self-care lost by the acute illness, and planning for transitions of care and medical care. By applying a structured process, an interdisciplinary team completes a geriatric assessment, follows clinical guidelines, and initiates plans for care transitions in concert with the patient and family. Three randomized clinical trials and systematic reviews of ACE or related interventions demonstrate reduced functional disability among patients, reduced risk of nursing home admission, and lower costs of hospitalization. ACE principles could improve elderly care in any acute setting. The aim of this commentary is to describe the ACE model and the basis of its effectiveness.

Indexed as

acute hospital caregeriatric assessmentinterdisciplinary teamolder adults

Identifiers

PMID31011096
PMCPMC6319242
OpenAlexW2890378601

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.