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Record W2613569870 · doi:10.1097/rhu.0000000000000532

Defining Quality of Rheumatologic Care: Mexico

2017· article· en· W2613569870 on OpenAlexfundno aff
Carlos Pineda, Hugo Sandoval

Bibliographic record

VenueJCR Journal of Clinical Rheumatology · 2017
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsPaymentPrivate sectorRheumatologyQuality (philosophy)BusinessHealth carePopulationMedicinePublic healthSocial securityPrivate practiceActuarial scienceFamily medicineEnvironmental healthInternal medicineEconomic growthNursingFinancePolitical scienceEconomics

Abstract

fetched live from OpenAlex

We present an overview of rheumatology practices in Mexico, describing the national health care system as segmented and fragmentary, with a population separated into 3 main categories, according to employment-based coverage and income level: (1) private sector, (2) Social Security System, and (3) public insurance subsector.The rheumatology practice in the public and private sectors are described. We estimate that between 85%-90% of Mexican rheumatologists have a mixed (public and private)-type practice. Payments to rheumatologists are not currently affected by quality and value metrics, with low penetrance of electronic health records. Recent changes and challenges to health insurance coverage are illustrated.

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)0.006
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.369
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.216
GPT teacher head0.457
Teacher spread0.241 · 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.

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

Citations11
Published2017
Admission routes1
Has abstractyes

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