Transferring the Purchasing Role from International to National Organizations During the Scale-Up Phase of Performance-Based Financing in Cameroon
Bibliographic record
Abstract
—The World Bank and the government of Cameroon launched a performance-based financing (PBF) program in Cameroon in 2011. To ensure its rapid implementation, the performance purchasing role was sub-contracted to a consultancy firm and a nongovernmental organization, both international. However, since the early stage, it was agreed upon that this role would later be transferred to a national entity. This explanatory case study aims at analyzing the process of this transfer using Dolowitz and Marsh's framework. We performed a document review and interviews with various stakeholders (n = 33) and then conducted thematic analysis of interview recordings. Sustainability, ownership, and integration of the PBF intervention into the health system emerged as the main reasons for the transfer. The different aspects of transfer from international entities to a national body consisted of (1) the decision-making power, (2) the “soft” elements (e.g., ideas, expertise), and (3) the “hard” elements (e.g., computers, vehicles). Factors facilitating the transfer included the fact that it was planned from the start and the modification of the legal status of the national organization that became responsible for strategic purchasing. Other factors hindered the transfer, such as the lack of a legal act clarifying the conditions of the transfer and the lack of posttransition support agreements. The Cameroonian experience suggests that key components of a successful transfer of PBF functions from international to national organizations may include clear guidelines, co-ownership and planning of the transition by all parties, and posttransition support to new actors.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".