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Record W2724970501 · doi:10.1186/s41256-017-0043-x

Health financing policies in Sub-Saharan Africa: government ownership or donors’ influence? A scoping review of policymaking processes

2017· review· en· W2724970501 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueGlobal Health Research and Policy · 2017
Typereview
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Systems and Reforms
Canadian institutionsUniversité de Montréal
FundersCanadian Institutes of Health Research
KeywordsGovernment (linguistics)BusinessPromotion (chess)Public financeHealth policyFinancePublic policyPublic economicsEconomic growthPublic administrationEconomicsHealth carePolitical sciencePolitics

Abstract

fetched live from OpenAlex

BACKGROUND: The rise on the international scene of advocacy for universal health coverage (UHC) was accompanied by the promotion of a variety of health financing policies. Major donors presented health insurance, user fee exemption, and results-based financing policies as relevant instruments for achieving UHC in Sub-Saharan Africa. The "donor-driven" push for policies aiming at UHC raises concerns about governments' effective buy-in of such policies. Because the latter has implications on the success of such policies, we searched for evidence of government ownership of the policymaking process. METHODS: We conducted a scoping review of the English and French literature from January 2001 to December 2015 on government ownership of decision-making on policies aiming at UHC in Sub-Saharan Africa. Thirty-five (35) results were retrieved. We extracted, synthesized and analyzed data in order to provide insights on ownership at five stages of the policymaking process: emergence, formulation, funding, implementation, and evaluation. RESULTS: The majority of articles (24/35) showed mixed results (i.e. ownership was identified at one or more levels of policymaking process but not all) in terms of government ownership. Authors of only five papers provided evidence of ownership at all reviewed policymaking stages. When results demonstrated some lack of government ownership at any of the five stages, we noticed that donors did not necessarily play a role: other actors' involvement was contributing to undermining government-owned decision-making, such as the private sector. We also found evidence that both government ownership and donors' influence can successfully coexist. DISCUSSION: Future research should look beyond indicators of government ownership, by analyzing historical factors behind the imbalance of power between the different actors during policy negotiations. There is a need to investigate how some national actors become policy champions and thereby influence policy formulation. In order to effectively achieve government ownership of financing policies aiming at UHC, we recommend strengthening the State's coordination and domestic funding mobilization roles, together with securing a higher involvement of governmental (both political and technical) actors by donors.

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.

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)0.009
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.507
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
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 head0.466
GPT teacher head0.538
Teacher spread0.071 · 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