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Record W1983531107 · doi:10.1177/10105395070190010701

Maternal Understanding of Diarrhoea-Related Dehydration and Its Influence on ORS Use in Indonesia

2007· article· en· W1983531107 on OpenAlexaff
Shannon E. MacDonald, Donna Moralejo, M. Kay Matthews

Bibliographic record

VenueAsia Pacific Journal of Public Health · 2007
Typearticle
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsMemorial University of NewfoundlandUniversity of Alberta
Fundersnot available
KeywordsOral rehydration therapyMedicineDehydrationDiarrheaIntervention (counseling)PediatricsFamily medicineEnvironmental healthNursingHealth servicesPopulationInternal medicine

Abstract

fetched live from OpenAlex

Dehydration resulting from diarrhoea remains a significant cause of death for young children in developing countries such as Indonesia. Although Oral Rehydration Solution (ORS) is effective in preventing and treating dehydration, its use in home treatment is not widespread. This study sought to assess whether mothers' understanding of diarrhoea-related dehydration influenced their use of ORS in home treatment. One hundred mothers of children under the age of five years in rural Indonesia were surveyed using a structured questionnaire, administered in an interview format in their homes. Only 38 (38%) of the mothers surveyed could identify two or more correct signs of dehydration. Significant relationship was found between maternal knowledge of correct signs of dehydration and the use of ORS in home treatment (OR 3.36, 95% CI 1.24, 10.63). Resulting recommendations include improved health education programming for mothers of young children, as well as future programme evaluation and intervention studies.

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)0.003
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 score0.010
Threshold uncertainty score0.446

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.063
GPT teacher head0.315
Teacher spread0.251 · 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

Citations21
Published2007
Admission routes1
Has abstractyes

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