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Record W2939681774 · doi:10.1186/s40795-019-0270-2

Maternal nutritional supplement delivery in developing countries: a scoping review

2019· review· en· W2939681774 on OpenAlexafffund
L. McKerricher, Pammla Petrucka

Bibliographic record

VenueBMC Nutrition · 2019
Typereview
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsUniversity of Saskatchewan
FundersUniversity of Saskatchewan
KeywordsCINAHLScopusMedicineDeveloping countryMEDLINEFamily medicineEnvironmental healthNursingPsychological interventionEconomic growth

Abstract

fetched live from OpenAlex

BACKGROUND: Maternal under-nutrition in low-income countries has been inextricably linked to negative child outcomes. Developing countries lack policies for monitoring and evaluating maternal nutritional programs, which has led to a gap in data collection regarding the effectiveness of prenatal supplement delivery methods. The objective of this scoping review is to examine and determine the delivery methods of maternal nutritional supplements in developing countries. METHODS: Scoping review of maternal supplement programs delivery methods in low-income countries including Bangladesh, Ethiopia, India, Kenya, and Nepal are examined. A systematic search was performed in six databases; CINAHL (Cumulative Index to Nursing & Allied Health), MEDLINE, Web of Science, PubMed, Scopus, and FSTA (Food Science and Technology Abstracts). RESULTS: = 12). The 12 full-text articles were assessed for eligibility and 8 of these studies were excluded for not meeting the scoping review criteria. Data was extracted and charted from the four remaining studies. The findings were collated and summarized.Three modes of delivery were identified: 1. Volunteer maternal nutrition educator delivered supplements to the pregnant woman's home; 2. The pregnant woman received a maternal supplements from school, health/local center, or village market; and 3. The pregnant woman received a ration card for subsidized food. CONCLUSIONS: Barriers in delivering maternal supplements included lack of trained professional volunteers, limited support and guidance provided to volunteers, and a high cost of equipment, supplies, and buildings. Pregnant women in developing countries faced many obstacles in accessing maternal supplement programs including poverty, rural isolation, limited transportation, low social status, traditional, cultural, and religious practices. Strategies required to improve program delivery involved an earlier invitation to prenatal supplements, increase in partnerships, a focus on adolescent girls' health, paid maternal leave, increase in training and incentives for volunteers, and self-help groups focused on prenatal education and counseling services.

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)0.012
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.015
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.036
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0150.019
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.085
GPT teacher head0.376
Teacher spread0.292 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations7
Published2019
Admission routes2
Has abstractyes

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