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Record W3127080074 · doi:10.1111/mcn.13148

Infant malnutrition treatment in Kenya: Health worker and breastfeeding peer supporter experiences

2021· article· en· W3127080074 on OpenAlexfundno aff
Sophie Chabeda, Dorothy Oluoch, Martha Mwangome, Caroline Jones

Bibliographic record

VenueMaternal and Child Nutrition · 2021
Typearticle
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsnot available
FundersMedical Research CouncilMedical Research Council Canada
KeywordsMedicineBreastfeedingMalnutritionRehabilitationNursingPublic healthVoluntary sectorEconomic shortageBreast feedingFamily medicineEnvironmental healthPediatricsEconomic growthPhysical therapyGovernment (linguistics)

Abstract

fetched live from OpenAlex

Acute malnutrition in infants under 6 months (u6m) is increasingly recognised as a global public health problem. The World Health Organisation (WHO) guidelines for inpatient nutritional rehabilitation of infants u6m is re-lactation: the re-establishment of exclusive breastfeeding. Evidence suggests these guidelines are rarely followed in many low-income settings. Two studies of infant nutritional rehabilitation undertaken in three public hospitals in coastal Kenya employed breastfeeding peer supporters (BFPSs) to facilitate WHO guideline implementation. To explore the acceptability of the strategy to health workers (HWs) and the BFPSs, in-depth interviews were conducted with 20 HWs and five BFPSs in the three study hospitals. The HWs reported that the presence of the BFPSs changed the way infant nutritional rehabilitation was managed, increasing efforts at relactation and decreasing reliance on supplemental milk. BFPSs were said to help address staff shortages and had dedicated time to support and assist the mothers. Key to the success of the BFPSs was the social relationships they were able to establish with the mothers due to the similarity in their experiences and backgrounds. Despite the success of the BFPSs, human resource management and infrastructure challenges remained. BFPSs can successfully be employed to facilitate the implementation of the WHO guidelines for the nutritional rehabilitation of acutely malnourished infants u6m in hospitals in Kenya, establishing supportive social relationships and trust with the mothers of the acutely malnourished infants and helping to address the issue of human resource shortages.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.655

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.261
Teacher spread0.250 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations9
Published2021
Admission routes1
Has abstractyes

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