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Street‐level workers’ criteria for identifying indigents to be exempted from user fees in Burkina Faso

2012· article· en· W1564396607 on OpenAlexaff
Valéry Ridde, Issa Sombié

Bibliographic record

VenueTropical Medicine & International Health · 2012
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsUniversité de MontréalCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsDelphi methodMedicineHealth careVulnerability (computing)NursingHarmEnvironmental healthMedical emergencyEconomic growthPsychology

Abstract

fetched live from OpenAlex

OBJECTIVES: Universal healthcare coverage cannot be achieved in Africa as long as the indigent, the poorest, are unable to access healthcare systems. This study was carried out in Burkina Faso to obtain street-level workers' perspectives on what criteria should be used to select indigents to be exempted from user fees. METHODS: Two group consensus techniques were used (Delphi and Concept Mapping). The participants were nurses (CM; n = 24), midwives (CM; n = 23) from a rural district and Social Action agents (CM; n = 31) and healthcare workers (Delphi n = 23) in training at two national schools. RESULTS: Altogether, 446 criteria were proposed. The nurses put forward criteria related to being ill without support and being a victim of society. The midwives focused more on the disabled poor and those who were ill and unsupported. The healthcare workers in training mentioned disabled persons and the elderly with no family support. The Social Action agents spoke about vulnerability related to illness or disability and the fact of being excluded or being a disaster victim. CONCLUSIONS: These criteria proposed by street-level workers add to other studies conducted in Burkina Faso and should help the State to improve indigents' access to care.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.042
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.127
GPT teacher head0.433
Teacher spread0.306 · 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

Citations15
Published2012
Admission routes1
Has abstractyes

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