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Record W4403129632 · doi:10.1177/01632787241288225

Health Care Utilization and Perceived Quality of Care in a Colombian Indigenous Health Organization

2024· article· en· W4403129632 on OpenAlexaff
Aynslie Hinds, Beda Suárez Aguilar, Yercine Duarte, Dorian Ospina, John Harold Gómez Vargas, Javier Mignone

Bibliographic record

VenueEvaluation & the Health Professions · 2024
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Health and Education
Canadian institutionsUniversity of ManitobaUniversity of Winnipeg
FundersInter-American Development Bank
KeywordsIndigenousHealth careService (business)MedicineBusinessEnvironmental healthPolitical scienceMarketing

Abstract

fetched live from OpenAlex

Indigenous governance of health care has increasingly been advocated among Indigenous peoples in many countries. However, there is limited research that has empirically examined its benefits. In 2020/21, we conducted a survey of 2113 Indigenous Wayuu individuals in Colombia who received services from the Indigenous Wayuu led health care insurance organization Anas Wayuu and its network of service providers, and Wayuu individuals who received services from non-Indigenous health insurance organizations. We compared their health care utilization and perception of quality of care. A main finding of the study was that Anas Wayuu enrollees were more than twice as likely to access health care than enrollees from non-Indigenous health insurance organizations, even when controlling for the demographic and health characteristics. The study provided compelling evidence suggesting that Anas Wayuu, being an Indigenous led health organization improves access to, and quality of care, among Indigenous health service recipients.

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)0.002
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 score0.222
Threshold uncertainty score0.440

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.192
GPT teacher head0.555
Teacher spread0.362 · 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

Citations3
Published2024
Admission routes1
Has abstractyes

Explore more

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