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Record W4307054448 · doi:10.1093/pch/pxac100.094

95 Prevalence and Characterization of Food Insecurity in a Canadian Paediatric Emergency Department

2022· article· en· W4307054448 on OpenAlexaffabout
Elspeth MacBain, Stacey Marjerrison, Gita Wahi, Mohamed Eltorki, Alim Pardhan, Quang Ngo

Bibliographic record

VenuePaediatrics & Child Health · 2022
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsMcMaster Children's HospitalMcMaster University
Fundersnot available
KeywordsMedicineFood insecurityEmergency departmentPandemicLogistic regressionEnvironmental healthFamily medicineFood securityDemographyCoronavirus disease 2019 (COVID-19)PsychiatryGeography

Abstract

fetched live from OpenAlex

Abstract Background Food insecurity (FI), defined as inadequate or insecure access to food, is a key determinant of child health. FI is associated with a number of adverse physical, psychological and developmental health outcomes and increased emergency department (ED) use. The COVID-19 pandemic has exacerbated financial hardship faced by many families with an unprecedented rise in use of charitable food programs. Objectives We sought to determine the prevalence of FI among pediatric ED visits during the COVID-19 pandemic, compare this to pre-pandemic rates, and describe associated risk factors. Design/Methods From September to December 2021, families presenting to a tertiary Canadian paediatric ED were asked to complete a survey screening for FI with a validated two-item questionnaire, along with socio-demographic and child health information. Results were compared to data collected in 2012. Multivariable logistic regression was used to measure associations with FI. Results In 2021, 26% (n=173/665) of families identified as food insecure compared to 22.7% in 2012 (n=146/644), which was not statistically different (3.3%, 95% CI [-1.4%, 8.1%]). When the definition of FI is expanded to include use of charitable food assistance, the prevalence increased to 29.2%. In univariate analysis, FI was significantly associated with lack of primary care, caregivers born outside of Canada, status other than Canadian citizenship, having a child with a chronic medical condition, having financial strain related to medical expenses and reason for the ED visit being the child’s chronic condition. In multivariable analysis, only having more children in the home (OR 1.19, 95% CI [1.01, 1.41]), financial strain from medical expenses (OR 5.31, 95% CI [3.45, 8.18]) and lack of primary care access (OR 1.27, 95% CI [1.08, 1.51]) remained independent predictors of FI. Approximately half (48.5%) of food insecure families reported use of food charity, most commonly food banks (31.7%), while one-quarter (26%) received help from family or friends. Food insecure families indicated their preferred means of support in hospital would be free/low cost meals and financial assistance with medical expenses. Conclusion Greater than one in four families attending a Canadian tertiary pediatric ED screened positive for FI. FI was independently associated with lack of access to primary care, financial strain related to medical expenses, and greater number of children in the household. Further research is necessary to examine the effect of support interventions for families admitted to medical care facilities and financial support for chronic conditions.

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)0.003
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 score0.031
Threshold uncertainty score0.115

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.005
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0020.001
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 head0.049
GPT teacher head0.351
Teacher spread0.302 · 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
Published2022
Admission routes2
Has abstractyes

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