Barriers and Facilitators to the Implementation of Large-Scale Nutrition Interventions in Africa: A Scoping Review
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.
Bibliographic record
Abstract
Abstract The effective implementation of large-scale nutrition interventions in Africa is an ongoing challenge. This scoping review identifies and explores the barriers and facilitators to the implementation of large-scale nutrition interventions in the African region. We searched PubMed, EMBASE, Scopus, ERIC, and Web of Science using search terms focused specifically on barriers and facilitators to the implementation of nutrition interventions in Africa. To supplement the database search, reference lists in publications included for full-text review were also examined to identify eligible articles for inclusion. Eligible studies underwent quality assessment, and a directed content analysis approach to data extraction was conducted and aligned to the Consolidated Framework for Implementation Research (CFIR) to facilitate narrative synthesis. The search identified 1452 citations and following removal of duplicates and our inclusion/exclusion criteria, 34 papers were eligible for inclusion. More than half of included studies ( n = 19) reflect research conducted in East Africa. Overarching thematic areas spanning the barriers and facilitators that were identified included policy and legislation; leadership management; resources mobilization; and cultural context and adaptability. Key activities that facilitate the development of successful implementation include (1) more supportive policy and legislation to improve government competency, (2) effective leadership, strategic partnership, and coordination across multiple sectors, (3) more effective resource mobilization, and (4) adequate adaptation of the intervention so that it is culturally relevant, tailored to local needs and aligned to research data. The barriers and facilitators identified under the CFIR domains can be used to build knowledge on how to adapt large-scale nutrition interventions to national and local settings. Registration Open Science Framework ( https://osf.io/6m8fy ).
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it