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Record W7070200496

Optometry Outreach in Indigenous Communities in British Columbia, Saskatchewan, and Manitoba

2023· dissertation· en· W7070200496 on OpenAlexafffundabout

Bibliographic record

VenueUWSpace (University of Waterloo) · 2023
Typedissertation
Languageen
FieldMedicine
TopicOphthalmology and Visual Impairment Studies
Canadian institutionsUniversity of Waterloo
FundersCanadian Optometric Education Trust Fund
KeywordsOutreachIndigenousStakeholderThematic analysisPublic healthHealth careReferralPresentation (obstetrics)
DOInot available

Abstract

fetched live from OpenAlex

Introduction: Inuit, Métis, and First Nations, the three main Indigenous groups within Canada, face disproportionate barriers to access for primary eye and vision care. Optometrists visit rural and remote Indigenous communities to provide outreach care to areas without a local optometrist; however, the approach is fragmented and not well represented. The purpose of this project is to assess the current state of outreach optometry within Indigenous communities by surveying optometrists who provide outreach care. \n \n \nMethods: In collaboration with the provincial optometry regulatory bodies, eligible participants were identified as optometrists who travel outside of their primary clinics to provide care within non-urban Indigenous communities. A questionnaire was developed through iterative stakeholder review for phase I of the study. The online questionnaire captured the delivery of care across one year (2022). The process of planning logistics, distances travelled, patient care provided and associated expenses were queried. A Semi-structured interview guide was developed for phase II of the study. One-on-one interviews expanded on questionnaire themes, providing insight into individual experiences. Data was collated through descriptive statistics and thematic coding for case and cross-case analysis. \n \n \nResults: The overall response rate was 50% (18/36) for the questionnaire and 30.5% (11/36) for the interview. Total questionnaire responses represent 96 outreach visits, 312.5 optometry clinic days, and 8,386 patient encounters across 64 communities in the three provinces. Optometrists coordinate with health center employees and school contacts to plan outreach visits, travelling primarily north to some of the most remote areas within each province. Overall Euclidean distances between participants primary clinic locations and communities visited ranged from 65 to 1405 kilometers (kms) (median: 438 kms). Costs per clinic day were highly variable ($174.44 - $3,800, mean: $765 per clinic day). Challenges reported were related to logistics, economic burden, and organizational challenges. Complementary enablers were identified, and recommendations are provided. \n \n \nConclusions: This study is the first to provide visibility to the current state of outreach optometry care to Indigenous communities in British Columbia, Saskatchewan, and Manitoba. The process of planning outreach visits was variable for individual optometrists and between provinces. High variability in reported costs associated with outreach visits requires additional investigation. Multi-stakeholder collaboration to support optometry outreach programming would encourage outreach participation and improve services towards reducing eye and vision health inequity experienced by non-urban Indigenous populations. \n \n \nAcknowledgements: Project supported by Anonymous Philanthropic Foundation, Canadian Institute for Health Research Canadian Graduate Scholarship, and Canadian Optometric Education Trust Fund. No conflicts to declare.

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 score0.036
Threshold uncertainty score0.263

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0110.002
Scholarly communication0.0020.001
Open science0.0020.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.269
Teacher spread0.252 · 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 routes3
Has abstractyes

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