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Record W4409337780 · doi:10.5334/ijic.icic24252

Leveraging Community Partners to Reduce Health Inequities in Lower Limb Preservation

2025· article· en· W4409337780 on OpenAlexaboutno aff
Cynthia Zhang, Timothy Sukhu, Lori Seeton

Bibliographic record

VenueInternational Journal of Integrated Care · 2025
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal Disorders and Rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsNursingMedicineBusinessPublic relationsGerontologyPolitical science

Abstract

fetched live from OpenAlex

The Lower Limb Preservation (LLP) demonstration project is built on the Canadian Ontario Health Team (OHT) model, and is a new way of organizing and delivering care that is more connected to patients in local communities, with the goal of better coordinated, more integrated care. LLP project focus is on reducing health inequities and preventing avoidable lower limb amputations through community chiropody clinics and hospital-community-primary care partnerships. We aim to serve marginalized and underserved populations across Toronto, Canada. There is a concerted effort to reach transient communities (homeless or under housed), Black, Indigenous and People of Colour, and those who do not regularly seek health care. We have partnered with the following groups and organizations within the OHT to co-design the integrated clinical pathways and models of care: - Community Health Centers: non-profit organizations that provide primary health and health promotion programs for individuals, families and communities. - Homeless shelters and drop-in centers where hot meals are provided (including one specifically for Indigenous populations). - University Health Network: A multi-site hospital that provides quaternary, specialized care in downtown Toronto. - Primary Care networks including one that focuses on people living on the street and in shelters, encampments and precarious housing across Toronto Our project team led the co-design of an OHT integrated clinical pathway and care model with the goal to reduce incidence of avoidable lower limb amputations. Pathway includes early identification of those at risk, chiropody foot care services provided in high priority/need communities, and health promotion and education to enable person-centered control over health. Hospital-Community-Primary care partnerships include a shared resource delivering care in both community and hospital settings, collaboration between the hospital emergency department and community homeless shelters, primary care networks and hospital outpatient clinic, and joint health education and promotion session delivery by community and hospital providers. Partnering and building relationships at the Hospital-Community-Primary care level allows for a cross continuum, integrated care delivery of health care beyond hospital walls to congregate and underserved populations within Toronto. Results: Since October 2023 launch, LLP project has shown promising results and evoked great excitement amongst all partners. Community chiropody clinics are scheduled through Spring 2024. To date, all clinics have reached capacity and provided much needed chiropody and foot care services to many underserved pockets within the region. Joint health education and health promotion sessions have also been highly attended. As time progresses, impacts include: strengthened hospital-primary-community care partnerships, regular screening and foot care, earlier treatment and health promotion, and reduced incidence of avoidable lower limb amputations. Learning for International Audience: Power of Partnerships - Hospital-Community-Primary care partnerships have played a vital role in addressing health determinants by providing care to those in underserved, high priority communities, improving population health longer-term, and reducing health inequities. This partnership has helped to build new connections and establish trust with marginalized and underserved communities. Next Steps: Implement all aspects of the pathway, focusing on hospital ED and community shelters along with social medicine partnerships, and demonstrate value to obtain sustainable funding.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.445
Threshold uncertainty score0.306

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.030
GPT teacher head0.387
Teacher spread0.357 · 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 teacher head, 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
Published2025
Admission routes1
Has abstractyes

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