MétaCan
Menu
← Back to cohort
Record W4386989360 · doi:10.1093/pch/pxad055.001

1 Youth Experiencing Homelessness Presenting to an Urban Paediatric Emergency Department: A Descriptive Study

2023· article· en· W4386989360 on OpenAlexaboutno aff
Amelie Lachance-Soulard, Megan Harrison, Sarah Reid

Bibliographic record

VenuePaediatrics & Child Health · 2023
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsEmergency departmentMental healthMedicineAttendanceDescriptive statisticsPopulationDepression (economics)PandemicDescriptive researchMedical emergencyFamily medicineCoronavirus disease 2019 (COVID-19)PsychiatryEnvironmental healthDisease

Abstract

fetched live from OpenAlex

Abstract Background Youth experiencing homelessness (YEH) have high rates of both mental and physical health concerns. This population faces multiple barriers in accessing care, resulting in unaddressed needs and reliance on Emergency Departments (ED). In Canada, the use of the paediatric ED by YEH has not been well described, and there is no data exploring the effects of the COVID-19 pandemic lockdown on ED attendance by this population. Objectives This study aims: 1) To review the frequency/nature of the presentations to the paediatric ED by YEH; 2) To compare pre- and post-COVID-19 data. Design/Methods Medical records were searched for ED encounters where a patient identified a youth shelter as their address and/or had terms documented such as “homeless”, during two time periods: pre-COVID-19 (May 1, 2018–March 15, 2020) and post-COVID-19 lockdown (March 16, 2021–Jan 31, 2022). Pertinent details of the encounters were documented, including chief complaint (CC). Descriptive statistics were used, as well as comparative analysis of the two time periods. Results A total of 1103 encounters were included. Over the total 45-month study time period, CCs were split between mental health-related (n=562, 50.9%) and physical health-related presentations (n=541, 49%). Of the mental health CCs, 396 (70.4%) were documented as “depression/overdose/suicidal/self-harm”. The most common CCs related to physical health were injuries (n=127, 23.4%), and pain (n=126, 23.2%). YEH most commonly attended the paediatric ED between 17:00-00:00 (n=504, 45%), and were triaged as CTAS 3/urgent (n = 676, 61.2%). Of those who completed an Ask Suicide-Screening Questionnaire (ASQ) (n=303), 45.8% (n=139) had an acute positive screen/imminent risk identified. The most common principal diagnoses documented at disposition were related to injuries/assault/pain (n= 224, 20%), and suicide attempt/self-harm (n=196, 17.7%). Of the 166 outpatient referrals made at discharge from ED, 105 (63%) were to mental health/psychiatry. While overall there were fewer ED encounters for this population “post COVID-lockdown” (n=465) as compared to “pre-COVID” (n=638) (p-value <0.05), there was a significant reduction in mental health-related CCs (pre-COVID n=365, post-COVID n=197; p-value <0.05), with no significant reduction in physical-related CCs after the pandemic lockdown (pre-COVID, n=273, n=268). Conclusion YEH utilize the paediatric ED for both their mental and physical healthcare and frequently report suicide risk. The findings that lower attendance to the paediatric ED for mental health-related concerns followed the pandemic lockdown, while physical health encounters remained steady, may reflect increased barriers to care or novel methods of mental health care delivery post-pandemic.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.070
GPT teacher head0.394
Teacher spread0.324 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venuePaediatrics & Child Health→Same topicHomelessness and Social Issues→French-language works237,207→