Maternal Perceptions and Experiences with an Intervention to Increase Adherence to WHO‐Recommended Zinc (Zn) + Oral Rehydration Salts (ORS) for Diarrhea Treatment in Western Guatemala
Bibliographic record
Abstract
Background Diarrheal is one of the major causes of mortality and morbidity among Guatemalan children. As Zn+ORS in diarrhea therapy has potential to save lives and reduce illness in children, it is recommended by the WHO. In Guatemala, little is known about Zn+ORS adherence and the influencing factors among caregivers Objective To understand caregivers' knowledge, attitudes and beliefs that influence adherence to Zn+ORS for diarrhea treatment in children 蠄5y and how these were impacted by a Zn+ORS co‐packaging intervention Methods We report the qualitative findings from a larger community‐based randomized intervention trial, in which Zn+ORS was co‐packaged at the facility and provider counseling for diarrhea treatment was strengthened. In‐depth interviews were conducted with 40 caregivers of children <5y in 20 health posts in Western Guatemala Results Mothers perceived the co‐packaging of Zn+ORS as an added value and a motivation to adhere to treatment. Enablers to adherence included receiving respectful and treatment specific counseling in their mother tongue, treatment without‐cost, a good‐graphical explanation of dose and preparation, and home visits to follow‐up on child´s health improvement by health care representatives. Conclusion The co‐packaging of Zn+ORS and respectful counseling both increased the perceived value of regular diarrhea treatment. The intervention positively influenced mothers' adherence to the prescription and created demand for treatment Financed by Grand Challenges Canada & Micronutrient Initiative
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".