SystEmatic review and meta-aNAlysis of infanT and young child feeding Practices (ENAT-P) in Ethiopia: protocol
Bibliographic record
Abstract
Introduction Infant and young child feeding (IYCF) is the cornerstone of infant and child survival, healthy growth and development, healthy future generations and national development. In spite of the importance of optimal nutrition in low- and middle-income countries, there has been no review conducted in Ethiopia. Thus, the aim of this systematic review and meta-analysis is to estimate the national coverage and identify the associated factors of IYCF practices in Ethiopia. Methods PubMed, Scopus, EMBASE, CINHAL, EBSCO, Web of Science and WHO Global Health Library databases will be searched for all available publications from 1 January 2000 to 30 September 2017. All published studies on the timely initiation of breast feeding, exclusive breast feeding and timely initiation of complementary feeding practice in Ethiopia will be screened, selected and reviewed. Bibliographies of identified articles and grey literature will be hand-searched as well. Heterogeneity of studies will be quantified using Higgins's method where I 2 statistic >80% indicates substantial heterogeneity. Funnel plots and Egger's regression test will be used to assess potential publication bias. The Newcastle–Ottawa Scale (NOS) will be used to assess the quality of evidence and risk of bias. Meta-analysis and meta-regression will be carried out to estimate the pooled national prevalence rate and an OR of each associated factor of IYCF practices. Narrative synthesis will be performed if meta-analysis is not feasible due to the substantial heterogeneity of studies. Ethics and dissemination Ethical clearance is not required for this study because primary data will not be collected. The results of this systematic review and meta-analysis will be published in a peer-reviewed journal and presented at an (inter)national research symposium. Systematic review registration This systematic review and meta-analysis has been registered with the International Prospective Register of Systematic Reviews (PROSPERO), registration number CRD42017056768.
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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 | 0.063 | 0.063 |
| Meta-epidemiology (narrow) | 0.007 | 0.005 |
| Meta-epidemiology (broad) | 0.018 | 0.020 |
| Bibliometrics | 0.010 | 0.010 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.093 | 0.010 |
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".