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Record W2164178637 · doi:10.1017/s1744133109004836

Access as a policy-relevant concept in low- and middle-income countries

2009· article· en· W2164178637 on OpenAlexfundno aff
Di McIntyre, Michael Thiede, Stephen Birch

Bibliographic record

VenueHealth Economics Policy and Law · 2009
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsnot available
FundersDepartment of Science and Technology, Ministry of Science and Technology, IndiaNational Research FoundationInternational Development Research Centre
KeywordsReceiptHealth careEmpowermentProxy (statistics)BusinessDimension (graph theory)Meaning (existential)Public economicsEconomic growthPsychologyEconomicsComputer science

Abstract

fetched live from OpenAlex

Although access to health care is frequently identified as a goal for health care policy, the precise meaning of access to health care often remains unclear. We present a conceptual framework that defines access to health care as the empowerment of an individual to use health care and as a multidimensional concept based on the interaction (or degree of fit) between health care systems and individuals, households, and communities. Three dimensions of access are identified: availability, affordability, and acceptability, through which access can be evaluated directly instead of focusing on utilisation of care as a proxy for access. We present the case for the comprehensive evaluation of health care systems as well as the dimensions of access, and the factors underlying each dimension. Such systemic analyses can inform policy-makers about the 'fit' between needs for health care and receipt of care, and provide the basis for developing policies that promote improvements in the empowerment to use 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 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)0.005
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0030.013
Scholarly communication0.0080.006
Open science0.0010.006
Research integrity0.0010.002
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 head0.020
GPT teacher head0.341
Teacher spread0.321 · 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 designTheoretical or conceptual
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

Citations326
Published2009
Admission routes1
Has abstractyes

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