Evidence map›Paper›PMID 32185614›Full record

ArticleThe journal of behavioral health services & research2021

Predictors of Frequent Emergency Department Utilization for Mental Health Reasons.

Gesthika Kaltsidis, Jean-Marie Bamvita, Guy Grenier, Marie-Josée Fleury

Abstract read
PubMed Publisher
In one paragraph

Article in The journal of behavioral health services & research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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.

Gesthika KaltsidisDepartment of Psychiatry, McGill University, Montreal, QC, Canada.
Jean-Marie BamvitaDouglas Mental Health University Institute Research Centre, Montreal, QC, Canada.
Guy GrenierDouglas Mental Health University Institute Research Centre, Montreal, QC, Canada.
Marie-Josée FleuryDepartment of Psychiatry, McGill University, Montreal, QC, Canada. flemar@douglas.mcgill.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Overcrowding in emergency departments (ED) jeopardizes quality and access to health care, which represents a major issue for service delivery. This study determined predictors of frequent ED utilization among 320 patients recruited from six hospital ED in Quebec (Canada). Data collection included patient interviews and administrative databanks. A hierarchical linear regression analysis was performed using the Andersen Behavioral Model as a framework, with variables organized into predisposing, enabling, and needs factors. Results showed that needs factors were most strongly associated with ED utilization, particularly schizophrenia and personality disorders. Predisposing and enabling factors each contributed one variable to the model: past hospitalization for Mental Health (MH) reasons, and having regular care from an outpatient psychiatrist over the 12 months prior to interview at the ED, respectively. Increasing integration of MH services in networks may reduce unnecessary ED utilization and overcrowding, while providing better accessibility and care continuity for patients who visit ED for MH reasons.

Indexed as

Mental HealthAdolescentAdultAgedAged, 80 and overCanadaEmergency Service, HospitalFemaleHealth Services AccessibilityHospitalizationHumansMaleMental Health ServicesMiddle AgedPatient Acceptance of Health CarePersonality DisordersEmergency department utilizationFrequent useMental healthOvercrowdingPredictors

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.