Evidence map›Paper›PMID 29267333›Full record

ArticlePloS one

Potentially preventable visits to the emergency department in older adults: Results from a national survey in Italy.

Beatrice Gasperini, Antonio Cherubini, Francesca Pierri, Pamela Barbadoro, Massimiliano Fedecostante, Emilia Prospero

Registry-linked trialAbstract read
In one paragraph

Article in PloS one. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05221697 (Effect of an Electronic Alert Management System Using Caregivers' Observations and Machine Learning Algorithm to Reduce the Use of Emergency Department Visits and Unplanned Hospitalizations Among Older People), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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.

NCT05221697 naunknown statusnot on this map

Effect of an Electronic Alert Management System Using Caregivers' Observations and Machine Learning Algorithm to Reduce the Use of Emergency Department Visits and Unplanned Hospitalizations Among Older People

TypeinterventionalSponsorPresageRan2020 to 2024Enrolled800ConditionsEmergenciesArmsPRESAGE CARE
3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Observational
  3. Healthcare Providers' Perceptions of Potentially Preventable Rural Hospitalisations: A Qualitative Study.International journal of environmental research and public health · 2021
    Article
  4. Predictors of Frequent Emergency Department Utilization for Mental Health Reasons.The journal of behavioral health services & research · 2021
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Observational
  10. 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

6 authors.

Beatrice GasperiniDepartment of Biomedical Sciences and Public Health, Section of Hygiene, Preventive Medicine and Public Health, Università Politecnica delle Marche, Ancona, Italy.ORCID http://orcid.org/0000-0002-9981-3460
Antonio CherubiniGeriatria, Accettazione geriatrica e Centro di ricerca per l'invecchiamento, IRCCS-INRCA, Ancona, Italy.
Francesca PierriDepartment of Economy, Section of Statistics, University of Perugia, Perugia, Italy.
Pamela BarbadoroDepartment of Biomedical Sciences and Public Health, Section of Hygiene, Preventive Medicine and Public Health, Università Politecnica delle Marche, Ancona, Italy.
Massimiliano FedecostanteGeriatria, Accettazione geriatrica e Centro di ricerca per l'invecchiamento, IRCCS-INRCA, Ancona, Italy.
Emilia ProsperoDepartment of Biomedical Sciences and Public Health, Section of Hygiene, Preventive Medicine and Public Health, Università Politecnica delle Marche, Ancona, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite older adults use emergency department more appropriately than other age groups, there is a significant share of admissions that can be considered potentially preventable.

objectiveTo identify socio-demographic characteristics and health care resources use of older adults admitted to emergency department for a potentially preventable visit.

designData come from the Multipurpose Survey "Health conditions and use of health services", edition 2012-2013. A stratified multi-stage probability design was used to select a sample using municipal lists of households. SUBJECT: 50474 community dwelling Italians were interviewed. In this analysis, 27003 subjects aged 65 years or older were considered.

methodsPotentially preventable visits were defined as an emergency department visit that did not result in inpatient admission. Independent variables were classified based on the socio-behavioral model of Andersen-Newman. Descriptive statistics and a logistic regression model were developed.

resultsIn the twelve months before the interview 3872 subjects (14.3%) had at least one potentially preventable visit. Factors associated with an increased risk of a potentially preventable visit were older age (75-84 years: OR 1.096, CI 1.001-1.199; 85+years: OR 1.022, CI 1.071-1.391), at least one hospital admission (OR 3.869, IC 3.547-4.221), to waive a visit (OR 1.188, CI 1.017-1.389) or an exam (OR 1.300, CI 1.077-1.570). Factors associated with a lower risk were female gender (OR 0.893, CI 0.819-0.975), area of residence (Center: OR 0.850; CI 0.766-0.943; Islands: OR 0.617, CI 0.539-0.706, South: OR 0.560; CI 0.505-0.622), private paid assistance (OR 0.761, CI 0.602-0.962); a better health-related quality of life (PCS score 46-54: OR 0.744, CI 0.659-0.841; PCS score >55: OR 0.746, CI 0.644-0.865).

conclusionsOur study identified several characteristics associated with an increased risk of potentially preventable visits to the emergency department. This might allow the development of specific interventions to prevent the access of at risk subjects to the emergency department.

Indexed as

AgedAged, 80 and overEmergency Service, HospitalFemaleHumansItalyMaleSurveys and Questionnaires

Identifiers

PMID29267333
PMCPMC5739429

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.