Evidence map›Paper›PMID 41430142›Full record

Observational studyBMC emergency medicine2025

Validation of predictive factors for hospital admission in elderly patients transported by emergency medical services: a retrospective observational study.

Makoto Suzuki, Daisuke Usuda, Tomohisa Nomura, Manabu Sugita

Abstract readObservational StudyValidation Study
In one paragraph

Observational study in BMC emergency medicine, 2025. 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
–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. 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

4 authors.

Makoto SuzukiDepartment of Emergency and Disaster Medicine, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan. m.suzuki.qr@juntendo.ac.jp.
Daisuke UsudaDepartment of Emergency and Disaster Medicine, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
Tomohisa NomuraDepartment of Emergency and Disaster Medicine, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
Manabu SugitaDepartment of Emergency and Disaster Medicine, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aging global population has led to rising emergency department (ED) visits and hospital admissions among older adults, many of whom have complex medical and social backgrounds. A substantial proportion of these visits may be avoidable, particularly among individuals receiving home medical care. Such avoidable hospitalizations can lead to adverse outcomes such as functional decline and iatrogenic complications, while placing additional strain on healthcare systems. Identifying predictive factors for hospital admission in this population is essential for improving care quality, optimizing resource utilization, and guiding decision-making in prehospital settings.

methodsWe conducted a retrospective observational study at the Juntendo University Nerima Hospital in Japan. "Tokyo Rule" (TR), a policy enacted on August 1, 2009, by the Tokyo Metropolitan Government, applies to difficult emergency transport cases and mandates that designated hospitals accept unanticipated ambulances. TR criteria included: (1) the patient's clinical condition was generally moderate or mild; and (2) ≥ 5 medical institutions refused ambulance transfer requests or 20 min had elapsed since the selection of medical institutions by an emergency medical technician. If the case meets both criterion (1) and criterion (2), it is regarded as a TR case. Our institution proactively accepts patients transferred by ambulance, including those under TR. Patients aged 75 years or older who were receiving house call medical services at home or in a nursing home (NH) and were transported to our hospital by emergency medical service (EMS) were included in this study. Clinical, demographic, and situational data were obtained from electronic medical records. The primary outcome was hospital admission. Univariate analyses were performed to identify potential predictors, followed by multivariate logistic regression analysis to determine independent predictors. A two-tailed significance level of 0.05 was applied.

resultsOf the 853 patients transported to our hospital during the study period, 738 met the inclusion criteria. Among them, 503 were admitted, and 235 were discharged from the ED. In the univariate analysis, factors significantly associated with admission included a lower Glasgow Coma Scale score; higher National Early Warning Score; oxygen therapy in the ED; and suspected diagnoses of infection, cerebrovascular disease, or cardiovascular disease. In the multivariate analysis, independent predictors included suspected infection, cerebrovascular disease, cardiovascular disease, digestive disease, oxygen therapy in the ED, and reduced consciousness. Minor trauma and transient loss of consciousness were associated with lower odds of hospital admission.

conclusionsThis is the first study to identify clinical and situational factors associated with hospital admission among older patients receiving home call medical services at home or in the NH who were transported by EMS. Among these patients, hospital admission was associated with suspected infection; cardiovascular, cerebrovascular, and digestive diseases; oxygen therapy in the ED; and reduced consciousness. These findings may help guide triage and decision-making in emergency care for this vulnerable population.

Indexed as

Emergency Medical ServicesEmergency Service, HospitalHospitalizationPatient AdmissionAgedAged, 80 and overAmbulancesFemaleHumansJapanMaleRetrospective StudiesRisk FactorsAvoidable emergency visitsAvoidable transferFactors for hospital admissionRetrospective observational studyThe elderlyUnnecessary transfer

Identifiers

PMID41430142
PMCPMC12723851

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LicenceCC BY-NC-ND
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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.