Evidence map›Paper›PMID 25853822›Full record

Observational studyPloS one2015

Unscheduled-return-visits after an emergency department (ED) attendance and clinical link between both visits in patients aged 75 years and over: a prospective observational study.

Laurent Pereira, Christophe Choquet, Anne Perozziello, Mathias Wargon, Gaelle Juillien, Luisa Colosi, Romain Hellmann, Michel Ranaivoson, Enrique Casalino

Abstract readObservational Study
In one paragraph

Observational study in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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

9 authors.

Laurent PereiraAssistance Publique-Hôpitaux de Paris (AP-HP), University Hospital Bichat-Claude Bernard, Emergency Department, Paris, France; Study Group for Efficiency and Quality of Emergency Departments and Non-Scheduled Activities Departments, Paris, France.
Christophe ChoquetAssistance Publique-Hôpitaux de Paris (AP-HP), University Hospital Bichat-Claude Bernard, Emergency Department, Paris, France; Study Group for Efficiency and Quality of Emergency Departments and Non-Scheduled Activities Departments, Paris, France.
Anne PerozzielloStudy Group for Efficiency and Quality of Emergency Departments and Non-Scheduled Activities Departments, Paris, France; Medical Information Systems Program (PMSI), University Hospital Bichat-Claude Bernard, Paris, France.
Mathias WargonStudy Group for Efficiency and Quality of Emergency Departments and Non-Scheduled Activities Departments, Paris, France; Hôpital Saint Camille, Bry sur Marne, France.
Gaelle JuillienAssistance Publique-Hôpitaux de Paris (AP-HP), University Hospital Bichat-Claude Bernard, Emergency Department, Paris, France; Study Group for Efficiency and Quality of Emergency Departments and Non-Scheduled Activities Departments, Paris, France.
Luisa ColosiAssistance Publique-Hôpitaux de Paris (AP-HP), University Hospital Bichat-Claude Bernard, Emergency Department, Paris, France; Study Group for Efficiency and Quality of Emergency Departments and Non-Scheduled Activities Departments, Paris, France.
Romain HellmannAssistance Publique-Hôpitaux de Paris (AP-HP), University Hospital Bichat-Claude Bernard, Emergency Department, Paris, France; Study Group for Efficiency and Quality of Emergency Departments and Non-Scheduled Activities Departments, Paris, France.
Michel RanaivosonAssistance Publique-Hôpitaux de Paris (AP-HP), University Hospital Bichat-Claude Bernard, Emergency Department, Paris, France; Study Group for Efficiency and Quality of Emergency Departments and Non-Scheduled Activities Departments, Paris, France.
Enrique CasalinoAssistance Publique-Hôpitaux de Paris (AP-HP), University Hospital Bichat-Claude Bernard, Emergency Department, Paris, France; Study Group for Efficiency and Quality of Emergency Departments and Non-Scheduled Activities Departments, Paris, France; EA 7334 REMES, Université Paris Diderot, Sorbonne Paris Cité, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPredictors of unscheduled return visits (URV), best time-frame to evaluate URV rate and clinical relationship between both visits have not yet been determined for the elderly following an ED visit.

methodsWe conducted a prospective-observational study including 11,521 patients aged ≥75-years and discharged from ED (5,368 patients (53.5%)) or hospitalized after ED visit (6,153 patients). Logistic Regression and time-to-failure analyses including Cox proportional model were performed.

resultsMean time to URV was 17 days; 72-hour, 30-day and 90-day URV rates were 1.8%, 6.1% and 10% respectively. Multivariate analysis indicates that care-pathway and final disposition decisions were significantly associated with a 30-day URV. Thus, we evaluated predictors of 30-day URV rates among non-admitted and hospitalized patient groups. By using the Cox model we found that, for non-admitted patients, triage acuity and diagnostic category and, for hospitalized patients, that visit time (day, night) and diagnostic categories were significant predictors (p<0.001). For URV, we found that 25% were due to closely related-clinical conditions. Time lapses between both visits constituted the strongest predictor of closely related-clinical conditions.

conclusionOur study shows that a decision of non-admission in emergency departments is linked with an accrued risk of URV, and that some diagnostic categories are also related for non-admitted and hospitalized subjects alike. Our study also demonstrates that the best time frame to evaluate the URV rate after an ED visit is 30 days, because this is the time period during which most URVs and cases with close clinical relationships between two visits are concentrated. Our results suggest that URV can be used as an indicator or quality.

Indexed as

AgedAged, 80 and overEmergency Service, HospitalFemaleFranceHumansLogistic ModelsMalePatient AdmissionPatient DischargePatient ReadmissionProportional Hazards ModelsProspective StudiesTime FactorsTriage

Identifiers

PMID25853822
PMCPMC4390330

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.