Evidence map›Paper›PMID 36573624›Full record

ArticleJournal of the American Geriatrics Society2023

Ambulance use and subsequent fragmented hospital readmission among older adults.

Sara D Turbow, Steven D Culler, Camille P Vaughan, Kimberly J Rask, Molly M Perkins, Carolyn K Clevenger, Mohammed K Ali

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2023. 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 13% 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, 9 citations in OpenAlex.

  1. Article
  2. Fragmented Readmissions From a Nursing Facility in Medicare Beneficiaries.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2024
    Article
  3. Observational
  4. 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.

Sara D TurbowDivision of General Internal Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA.ORCID 0000-0002-5228-9606
Steven D CullerDepartment of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
Camille P VaughanDivision of Geriatrics & Gerontology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA.ORCID 0000-0001-6713-794X
Kimberly J RaskAlliant Health Group, Atlanta, Georgia, USA.
Molly M PerkinsDivision of Geriatrics & Gerontology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA.
Carolyn K ClevengerNell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia, USA.ORCID 0000-0003-3247-7017
Mohammed K AliDepartment of Family & Preventive Medicine, Emory University School of Medicine, Atlanta, Georgia, USA.
Emory University · USAlliant Energy (United States) · US

Funding

Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
iCAREFOR: Interhospital Care Fragmentation in Older Adults with DementiaK23AG065505 · NIA · EMORY UNIVERSITY · PI TURBOW, SARA DIANE · 2020 to 2024
$732k
NCATS NIH HHS UL1 TR002378NIA NIH HHS K23 AG065505
6 · The paper itself

Abstract

backgroundInterhospital care fragmentation, when a patient is readmitted to a different hospital than they were originally discharged from, occurs in 20%-25% of readmissions. Mode of transport to the hospital, specifically ambulance use, may be a risk factor for fragmented readmissions. Our study seeks to further understand the relationship between ambulance transport and fragmented readmissions in older adults, a population that is at increased risk for poor outcomes following fragmented readmissions.

methodsWe analyzed inpatient claims from Medicare beneficiaries in 2018 who had a hospital admission for select Hospital Readmission Reduction Program Conditions (acute myocardial infarction, congestive heart failure, chronic obstructive pulmonary disease, pneumonia) as well as dehydration, syncope, urinary tract infection, or behavioral issues. We evaluated the associations between ambulance transport and a fragmented readmission using logistic regression models adjusted for demographic, clinical, and hospital characteristics.

resultsThe study included 1,186,600 30-day readmissions. Of these, 46.8% (n = 555,847) required ambulance transport. In fully adjusted models, taking an ambulance to the readmission hospital increased the odds of a fragmented readmission by 38% (95% CI 1.32, 1.44). When this association was examined by readmission major diagnostic category (MDC), the strongest associations were seen for Factors Influencing Health Status and Other Contacts with Health Services (i.e., rehabilitation, aftercare) (AOR 3.66, 95% CI 3.11, 4.32), Mental Diseases and Disorders (AOR 2.69, 95% CI 2.44, 2.97), and Multiple Significant Trauma (AOR 2.61, 95% CI 1.56, 4.35). When the model was stratified by patient origin, ambulance use remained associated with fragmented readmissions across all locations.

conclusionsAmbulance use is associated with increased odds of a fragmented readmission, though the strength of the association varies by readmission diagnosis and origin. Patient-, hospital-, and system-level interventions should be developed, implemented, and evaluated to address this modifiable risk factor.

Indexed as

AmbulancesPatient ReadmissionAgedHospitalizationHumansMedicarePatient DischargeRetrospective StudiesUnited Statesambulancecare fragmentationMedicareolder adultsreadmission

Identifiers

PMID36573624
PMCPMC10175179
OpenAlexW4313249086

What OpenQuestion holds

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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.