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Record W2735529749 · doi:10.1186/s12961-017-0210-z

Free versus subsidised healthcare: options for fee exemptions, access to care for vulnerable groups and effects on the health system in Burkina Faso

2017· article· en· W2735529749 on OpenAlexfundno aff
Maurice Yaogo

Bibliographic record

VenueHealth Research Policy and Systems · 2017
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Care Issues
Canadian institutionsnot available
FundersAgence Française de DéveloppementInternational Development Research Centre
KeywordsHealth careHealth services researchUser feeHealth policyPsychological interventionBusinessPublic economicsEconomic growthMedicinePolitical scienceNursingEconomicsLaw

Abstract

fetched live from OpenAlex

BACKGROUND: The many forms of healthcare fee exemptions implemented in Burkina Faso since the 2000s have varied between total exemption (free) and cost subsidisation. This article examines both options, their contextual variations and the ways in which they affect access to healthcare for vulnerable people as well as the operation of the health system. This research is part of an interdisciplinary regional program on the elimination of user fees for health services in West Africa (Burkina Faso, Mali and Niger). METHOD: A conceptual framework and a chronological review of policy interventions are used as references to summarise the results of the three qualitative studies presented. Historical reference points are used to describe the emergence of healthcare fee exemption policies in Burkina Faso and the events that influenced their adoption. The joint analysis of opinions on options for fee exemption focuses on the different types of repercussions on access to healthcare and the operation of the health system. RESULTS: In conjunction with the twists and turns of the gradual development of a national health policy and in response to international recommendations, healthcare fee exemptions have evolved since colonisation. The limitations of the changes introduced with cost recovery and the barriers to healthcare access for the poorest people led to the adoption of the current sectorial fee exemptions. The results provide information on the reasons for the changes that have occurred over time. The nuanced perspectives of different categories of people surveyed about fee exemption options show that, beyond the perceived effects on healthcare access and the health system, the issue is one of more equitable governance. CONCLUSIONS: In principle, the fee exemption measures are intended to provide improved healthcare access for vulnerable groups. In practice, the negative effects on the operation of the health system advocate for reforms to harmonise the changes to multifaceted fee exemptions and the actual needs to promote effectiveness and sustainability.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.005
Scholarly communication0.0030.004
Open science0.0000.003
Research integrity0.0010.001
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 head0.445
GPT teacher head0.609
Teacher spread0.164 · 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

Citations14
Published2017
Admission routes1
Has abstractyes

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