Evidence map›Paper›PMID 34106397›Full record

Observational studyInternal and emergency medicine2022

How the coronavirus disease 2019 pandemic changed the patterns of healthcare utilization by geriatric patients and the crowding: a call to action for effective solutions to the access block.

Gabriele Savioli, Iride Francesca Ceresa, Viola Novelli, Giovanni Ricevuti, Maria Antonietta Bressan, Enrico Oddone

Abstract readObservational Study
In one paragraph

Observational study in Internal and emergency medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Blood Transfusion for Major Trauma in Emergency Department.Diagnostics (Basel, Switzerland) · 2024
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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

6 authors.

Gabriele SavioliEmergency Department, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.ORCID 0000-0002-8679-5435
Iride Francesca CeresaEmergency Department, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Viola NovelliMedical Direction, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Giovanni RicevutiDepartment of Drug Science, University of Pavia, Italy and, Saint Camillus International, University of Health Sciences, Rome , Italy.
Maria Antonietta BressanEmergency Department, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Enrico OddoneDepartment of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy. enrico.oddone@unipv.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The geriatric population constitutes a large slice of the population of Western countries and a class of fragile patients, with greater deaths due to COVID-19. The patterns of healthcare utilization change during pandemic disease outbreaks. Identifying the patterns of changes of this particular fragile subpopulation is important for future preparedness and response. Overcrowding in the emergency department (ED) can occur because of the volume of patients waiting to be seen, delays in patient assessment or treatment in the ED, or impediments to leaving the ED once the treatment has been completed. Overcrowding has become a serious and growing issue globally, which represents a serious impediment to healthcare utilization. To estimate the rate of ED visits attributable to the outbreak and guide the planning of strategies for managing ED access or after the outbreak of transmittable respiratory diseases. This observational study was based on a retrospective review of the epidemiological and clinical records of patients aged > 75 years who visited the Foundation IRCCS Policlinic San Matteo during the first wave of COVID-19 outbreak (February 21 to May 1, 2020; pandemic group). The analysis methods included estimation of the changes in the epidemiological and clinical data from the annual baseline data after the start of the COVID-19 pandemic. Outcome measures and analysis: Primary objective is the evaluation of ED admission rate change and ED overcrowding. Secondary objectives are the evaluation of modes of ED access by reason and triage code, access types, clinical outcomes (such as admission and mortality rates). During the pandemic, ED crowding increased dramatically, although the overall number of patients decreased, in the face of a percentage increase in those with high-acuity conditions, because of changes in patient management that have prolonged length of stay (LOS) and increased rates of access block. Overcrowding during the COVID-19 pandemic can be attributed to the Access Block. Access Block solutions are hence required to prevent a recurrence of crowding to any new viral wave or new epidemic in the future.

Indexed as

COVID-19AgedCrowdingEmergency Service, HospitalHumansLength of StayPandemicsPatient Acceptance of Health CareAccess blockCoronavirus diseaseCrowdingEmergency care utilizationEmergency departmentExit blockPandemic

Identifiers

PMID34106397
PMCPMC8188157

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.