Evidence map›Paper›PMID 37867578›Full record

ArticleInternational journal of integrated care

Does Case-Finding for Admission to Aged Care Rapid Investigation and Assessment Unit for Older Patients Improve Hospital Length of Stay?

Sundhar R Balu, Angela Khoo, Carol Lu Hunter, Danielle Ní Chróinín

Abstract read
In one paragraph

Article in International journal of integrated care. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

4 authors.

Sundhar R BaluDepartment of Geriatric Medicine, Liverpool Hospital, Liverpool, AU.
Angela KhooDepartment of Geriatric Medicine, Liverpool Hospital, Liverpool, AU.
Carol Lu HunterDepartment of Geriatric Medicine, Liverpool Hospital, Liverpool, AU.ORCID https://orcid.org/0000-0001-9480-420X
Danielle Ní ChróinínDepartment of Geriatric Medicine, Liverpool Hospital, Liverpool, AU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Many older people present to emergency departments annually, often with complex geriatric syndromes, yet current acute care models and traditional admissions process may under-serve their needs. The multidisciplinary Aged Care Rapid Investigation and Assessment (ARIA) Unit seeks to bridge this gap, by actively identifying and assessing patients. Methods: A prospective case-control study was undertaken at a single-centre tertiary referral institution. Patients were eligible for inclusion in ARIA group if admitted to ARIA via case-finding by the geriatrician or Aged Care Services Emergency Team, whilst standard geriatric admissions formed the control group. This study evaluates whether ARIA reduced hospital length-of-stay (LOS) and representation rates. Results: 370 patients were included (185 each arm) with similar baseline demographics, frailty scores, and Charlson Comorbidity Indices. Patients admitted to ARIA had significantly shorter hospital LOS than those via standard pathway (3.3 days [IQR2.2-5.8] vs 7.5 days [IQR4.2-13.7], p < 0.00001). There were no significant differences in 90-day representation rates (n = 66 [35.7%] vs n = 64 [34.6%], p = 0.82). Discussion/Conclusion: Introduction of an ARIA unit with a targeted approach to frontline geriatric services and case-finding is associated with improved LOS of older acute hospital patients. An economical cost analysis of this study would be beneficial in exploring potential financial savings.

Indexed as

admission lengthemergency geriatricsrepresentation

Identifiers

PMID37867578
PMCPMC10588540

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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.