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Record W4412548254 · doi:10.61171/v01.02.14

Knowledge about childhood diarrhea among mothers: A systematic review of 2020 onwards

2024· review· en· W4412548254 on OpenAlexaff
Abdul Islam Hanif, Sadia Yasmeen

Bibliographic record

VenuePioneer Journal of Biostatistics and Medical Research · 2024
Typereview
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsMount Sinai Hospital
Fundersnot available
KeywordsDiarrheaMedicinePediatricsPsychologyPathology

Abstract

fetched live from OpenAlex

Background: Childhood diarrhea is still a challenge in healthcare, and mother’s knowledge about it can play a vital role in its management. Recent reviews to assess mother’s knowledge may help in future strategies. Objective: To review the mother’s knowledge about the management of diarrhea. Materials and Methods: The study was conducted using studies available free and in full on the internet and reported using Preferred Reporting Items for Systematic Review and Meta-Analysis Statement (PRISMA) guidelines. All original studies that were freely available were included. Google Scholar was used for searching for relevant articles. BOOLEAN search criteria were tried using the AND and OR operations for specific terms. The data was entered in a Microsoft Excel document with the same heading as in the table. Results: A total of 15 studies were shortlisted and published from 2020 onwards. The Knowledge was very varying, ranging from 5.6% to 82.2% with statistical significance. Conclusion: The knowledge of mothers is quite varied about childhood diarrhea, even in recent literature. More studies should be done to find risk factors for such variation, and awareness campaigns should be given to increase knowledge among mothers, as they are the primary caregivers for their children. Keywords: Childhood diarrhea, knowledge, mothers, prevalence, management

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)0.008
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
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 score0.163
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.053
GPT teacher head0.443
Teacher spread0.389 · 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.

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

Citations0
Published2024
Admission routes1
Has abstractyes

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