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Record W4409337835 · doi:10.5334/ijic.icic24115

Identifying barriers to integrated and equitable care for older adults from minority groups leading to potentially avoidable emergency department visits.

2025· article· en· W4409337835 on OpenAlexaboutno aff
Krystal Kehoe MacLeod, Katelyn Wang, Karyle Nama Flores, Evelyn Hammond, Sharon Johnston, Laura Jamieson, Kavish Chandra

Bibliographic record

VenueInternational Journal of Integrated Care · 2025
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsnot available
Fundersnot available
KeywordsEmergency departmentMedicineMedical emergencyIntegrated careHealth careNursingPolitical science

Abstract

fetched live from OpenAlex

Introduction: Emergency departments (ED) around the world are overcrowded and wait times are long. Many ED visits could be avoided if patients’ needs could be met in a more appropriate care setting. Yet, patients, especially older adults from minority linguistic and ethno-cultural groups, continue to experience multiple and intersecting systemic and structural barriers to accessing equitable and culturally safe care. Our team has shown that when patients and their health care providers in the hospital do not speak the same first language, it is associated with increased health system use and poor health outcomes for patients1. This study argues for movement towards a more integrated, interprofessional care approach to the management and delivery of more culturally informed and linguistically appropriate health care as a means of reducing potentially avoidable ED use. Approach: In collaboration with patient and caregiver partners and ED staff, we collected data on patients’ primary care use and perceived barriers to care. In 2023, we recruited older adults (65+) (n=90) and caregivers (n=10) during a visit to an ED in two Canadian provinces. Using statistical and reflexive thematic analyses, we triangulated data from surveys, short answer questions, and chart review to identify a subset of older adults who (1) self-identified as belonging to a linguistic and/or ethno-cultural minority group and (2) had experienced a visit to the ED that was classified as “potentially avoidable” using a tool we co-developed with ED physicians. We are now conducting in-depth interviews with older adults (n=10) to better understand their care experiences using an intersectionality framework. Results: Our findings to date have indicated that when older adults experience difficulties accessing a family physician who can provide timely care, they visit an ED instead. They also do not perceive having the choice to seek out linguistic and/or culturally safe care because of the lack of availability of suitable care providers in the community. We also heard about perceived patient-care provider power imbalances involved in the current processes to request and use a translator during health care provision. Patients suggested that there is not yet a good solution to deal with cultural discordance in care provision but viewed the expansion of interprofessional practice in the ED and better integration of community-based primary care with resources and support for cultural and linguistic minorities as promising ways forward. International Learnings: This project highlights both gaps and promising approaches in the delivery of linguistically appropriate and culturally safe care for older adults, highlighting the need for more integrated and interprofessional approaches to management and service delivery. Next steps include work to amplify the voices of older adult patients and caregivers through co-design work to develop recommendations for improvements to service delivery in the ED and community that will be pilot tested and evaluated with community partners and care providers in a bilingual Canadian hospital. 1 Seale E, et al. Patient–physician language concordance and quality and safety outcomes among frail home care recipients admitted to hospital in Ontario, Canada. CMAJ 2022 Jul; 194(26): E899-E908; DOI: 10.1503/cmaj.212155.

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)0.007
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.383
Threshold uncertainty score0.761

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0050.001
Scholarly communication0.0020.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.396
Teacher spread0.378 · 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 designQualitative
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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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