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Record W7132880797

Sex-related Differences in Healthcare Access and Utilization in Adult Patients with Inflammatory Arthritis in Ontario

2023· dissertation· W7132880797 on OpenAlexaboutno aff
Sanjana Tarannum

Bibliographic record

VenueTSpace · 2023
Typedissertation
Language
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAnkylosing spondylitisRheumatoid arthritisHealth carePsoriatic arthritisInflammatory arthritisDisease
DOInot available

Abstract

fetched live from OpenAlex

This thesis compared healthcare access and utilization between male and female patients with inflammatory arthritis (IA) in Ontario. Using Ontario health administrative data, inception cohorts of adult patients with rheumatoid arthritis (RA), ankylosing spondylitis (AS) and psoriatic arthritis (PsA) diagnosed between 2010 and 2017 were assembled. Annual healthcare access and utilization patterns were assessed for 3 years before and after diagnosis, and compared between male and female patients using regression models. Before and after diagnosis, female patients were more likely to visit family physicians and rheumatologists, and undergo musculoskeletal imaging and laboratory tests across the cohorts. Opioids and NSAIDs were more likely to be dispensed to older female RA patients and, conventional disease modifying anti-rheumatic drugs to older female AS patients. In summary, female IA patients have higher musculoskeletal-related healthcare utilization than male patients, either due to biological differences in disease activity or sociocultural differences in healthcare seeking behaviour.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.056
Threshold uncertainty score0.113

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.028
GPT teacher head0.313
Teacher spread0.285 · 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

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