Evidence map›Paper›PMID 26645272›Full record

ArticleInternational journal for equity in health2015

Characterizing the vulnerability of frequent emergency department users by applying a conceptual framework: a controlled, cross-sectional study.

Patrick Bodenmann, Stéphanie Baggio, Katia Iglesias, Fabrice Althaus, Venetia-Sofia Velonaki, Stephanie Stucki, Corine Ansermet, Sophie Paroz, Lionel Trueb, Olivier Hugli and 2 more

Registry-linked trialAbstract readClinical Study
In one paragraph

Article in International journal for equity in health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03641274 (Implementing a Case Management Intervention for Frequent Users of the Emergency Department), which is not on this map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 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.

NCT03641274 unknown statusnot on this mapstarted 2018, after this paper: background citation

Implementing a Case Management Intervention for Frequent Users of the Emergency Department: An Effectiveness-Implementation Hybrid Trial Study Protocol

TypeobservationalSponsorUniversity of Lausanne HospitalsRan2018 to 2020Enrolled120ConditionsFrequent Users of Emergency Department (FUEDs)ArmsCase-management intervention for frequent users of the emergency department
3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Using case management in a universal health coverage system to improve quality of life of frequent Emergency Department users: a randomized controlled trial.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2018
    Trial
  5. Trial
  6. Article
  7. Article
  8. [Black box: Attenders with psychosocial needs in the emergency department].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
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  15. Article
  16. Predictors of Recurrent High Emergency Department Use among Patients with Mental Disorders.International journal of environmental research and public health · 2021
    Article
  17. Review
  18. Article
  19. Article
  20. 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

12 authors.

Patrick BodenmannVulnerable Populations Center, Department of Ambulatory Care and Community Medicine, University of Lausanne & Lausanne University Hospital, Lausanne, CH-1015, Switzerland. patrick.bodenmann@hospvd.ch.
Stéphanie BaggioLife Course and Inequality Research Center, Faculty of Social and Political Sciences, University of Lausanne, Lausanne, CH-1015, Switzerland. stephanie.baggio@unil.ch.
Katia IglesiasInstitute of Social and Preventive Medicine, Lausanne University Hospital, Lausanne, CH-1011, Switzerland. katia.iglesias@unine.ch.
Fabrice AlthausVulnerable Populations Center, Department of Ambulatory Care and Community Medicine, University of Lausanne & Lausanne University Hospital, Lausanne, CH-1015, Switzerland. Fabrice.Althaus@hospvd.ch.
Venetia-Sofia VelonakiInstitute of Higher Education and Research in Healthcare, Lausanne University Hospital, Lausanne, CH-1010, Switzerland. venetia.velonaki@chuv.ch.
Stephanie StuckiAddiction Switzerland, Research Institute, Lausanne, CH-1001, Switzerland. Stephanie.Stucki@chuv.ch.
Corine AnsermetDepartment of Community Medicine and Public Health, Lausanne University Hospital, Lausanne, CH-1011, Switzerland. corine.ansermet@hospvd.ch.
Sophie ParozDepartment of Community Medicine and Public Health, Lausanne University Hospital, Lausanne, CH-1011, Switzerland. sophie.paroz@chuv.ch.
Lionel TruebEmergency Department, Lausanne University Hospital, Lausanne, CH-1011, Switzerland. lionel.trueb@chuv.ch.
Olivier HugliEmergency Department, Lausanne University Hospital, Lausanne, CH-1011, Switzerland. olivier.hugli@chuv.ch.
Judith L GriffinVulnerable Populations Center, Department of Ambulatory Care and Community Medicine, University of Lausanne & Lausanne University Hospital, Lausanne, CH-1015, Switzerland. Judith-Louise.Griffin@hospvd.ch.
Jean-Bernard DaeppenAlcohol Treatment Service, Lausanne University Hospital, Lausanne, CH-1011, Switzerland. jean-bernard.daeppen@chuv.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFrequent emergency department (ED) users meet several of the criteria of vulnerability, but this needs to be further examined taking into consideration all vulnerability's different dimensions. This study aimed to characterize frequent ED users and to define risk factors of frequent ED use within a universal health care coverage system, applying a conceptual framework of vulnerability.

methodsA controlled, cross-sectional study comparing frequent ED users to a control group of non-frequent users was conducted at the Lausanne University Hospital, Switzerland. Frequent users were defined as patients with five or more visits to the ED in the previous 12 months. The two groups were compared using validated scales for each one of the five dimensions of an innovative conceptual framework: socio-demographic characteristics; somatic, mental, and risk-behavior indicators; and use of health care services. Independent t-tests, Wilcoxon rank-sum tests, Pearson's Chi-squared test and Fisher's exact test were used for the comparison. To examine the -related to vulnerability- risk factors for being a frequent ED user, univariate and multivariate logistic regression models were used.

resultsWe compared 226 frequent users and 173 controls. Frequent users had more vulnerabilities in all five dimensions of the conceptual framework. They were younger, and more often immigrants from low/middle-income countries or unemployed, had more somatic and psychiatric comorbidities, were more often tobacco users, and had more primary care physician (PCP) visits. The most significant frequent ED use risk factors were a history of more than three hospital admissions in the previous 12 months (adj OR:23.2, 95%CI = 9.1-59.2), the absence of a PCP (adj OR:8.4, 95%CI = 2.1-32.7), living less than 5 km from an ED (adj OR:4.4, 95%CI = 2.1-9.0), and household income lower than USD 2,800/month (adj OR:4.3, 95%CI = 2.0-9.2).

conclusionsFrequent ED users within a universal health coverage system form a highly vulnerable population, when taking into account all five dimensions of a conceptual framework of vulnerability. The predictive factors identified could be useful in the early detection of future frequent users, in order to address their specific needs and decrease vulnerability, a key priority for health care policy makers. Application of the conceptual framework in future research is warranted.

Indexed as

AdultAgedCross-Sectional StudiesEmergency Service, HospitalFemaleHealth ServicesHumansLogistic ModelsMaleMiddle AgedRetrospective StudiesRisk FactorsSocioeconomic FactorsSurveys and QuestionnairesSwitzerlandUniversal Health Insurance

Identifiers

PMID26645272
PMCPMC4673736

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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.