Evidence map›Paper›PMID 39170452›Full record

ArticleHeliyon2024

Nonmedical problems among older adults visiting the emergency department for low acuity conditions: A prospective multicentre cohort study.

Katherine Tanguay, Alexandra Nadeau, Audrey-Anne Brousseau, Patrick M Archambault, Pierre-Hugues Carmichael, Marcel Emond, Jean-Francois Deshaies, Marie-Josée Sirois, Fabrice I Mowbray, Pierre-Gilles Blanchard and 1 more

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Katherine TanguayDépartement de médecine familiale et de médecine d'urgence, Faculté de médecine, Université Laval, Québec, QC, Canada.
Alexandra NadeauCentre de recherche du CHU de Québec - Université Laval, Axe santé des populations et pratiques optimales en santé, Québec, Canada.
Audrey-Anne BrousseauDépartement de médecine de famille et de médecine d'urgence, Faculté de médecine et sciences de la santé, Université de Sherbrooke, Sherbrooke, QC, Canada.
Patrick M ArchambaultDépartement de médecine familiale et de médecine d'urgence, Faculté de médecine, Université Laval, Québec, QC, Canada.
Pierre-Hugues CarmichaelCentre de recherche du CHU de Québec - Université Laval, Axe de recherche en vieillissement, Québec, QC, Canada.
Marcel EmondDépartement de médecine familiale et de médecine d'urgence, Faculté de médecine, Université Laval, Québec, QC, Canada.
Jean-Francois DeshaiesDépartement de médecine de famille et de médecine d'urgence, Faculté de médecine et sciences de la santé, Université de Sherbrooke, Sherbrooke, QC, Canada.
Marie-Josée SiroisCentre de recherche du CHU de Québec - Université Laval, Axe santé des populations et pratiques optimales en santé, Québec, Canada.
Fabrice I MowbrayCollege of Nursing, Michigan State University, East Lansing, MI, USA.
Pierre-Gilles BlanchardDépartement de médecine familiale et de médecine d'urgence, Faculté de médecine, Université Laval, Québec, QC, Canada.
Eric MercierDépartement de médecine familiale et de médecine d'urgence, Faculté de médecine, Université Laval, Québec, QC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Data on the predictors of nonmedical problems (NMP) in older adults attending the emergency department (ED) for low acuity conditions is lacking and could help rapid identification of patients with NMP and integration of these needs into care planning. Objectives: To determine the prevalence and predictors of NMP among older adults attending EDs for low acuity conditions. Methods: Prospective cohort study in eight EDs (May-August 2021). We included cognitively intact ≥65 years old adults assigned a low triage acuity (3-5) using the CTAS. A questionnaire focusing on 11 NMP was administered. We used multiple logistic regression to identify predictors of NMP. Results: Among the 1,061 participants included, the mean age was 77.1 ± 7.6, majority were female, and 41.6 % lived alone. At least one NMP was reported by 704 persons. Prevalence of each NMP: outdoor (41.1 %) and indoor (30.2 %) mobility issues, difficult access to dental care (35.1 %), transportation (4.1 %) and medication (5.4 %), loneliness (29.5 %), food insecurity (10.3 %), financial difficulties (9.5 %), unsafe living situation (4.1 %), physical/psychological violence (3.4 %), and abuse/neglect (3.3 %). Predictors of NMP were: age (OR 1.04 for each additional year), living alone (OR 2.20), pre-existing mental health conditions (OR 3.12), heart failure (OR 1.42), recent surgery/admission (OR 1.75), memory decline (OR 2.76), no family physician (OR 1.74) and consulting for a fall/functional decline (OR 2.48). Conclusions: Nonmedical problems are frequent among older adults. We need to implement holistic ED processes that integrate these problems into care planning.

Identifiers

PMID39170452
PMCPMC11336578

What OpenQuestion holds

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Registered trials

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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.