Health behaviors and care seeking practices for childhood diarrhea and pneumonia in a rural district of Pakistan: A qualitative study
Bibliographic record
Abstract
Diarrhea and pneumonia are the leading causes of morbidity and mortality in children under five, and Pakistan is amongst the countries with the highest burden and low rates of related treatment coverage. We conducted a qualitative study as part of the formative phase to inform the design of the Community Mobilization and Community Incentivization (CoMIC) cluster randomized control trial (NCT03594279) in a rural district of Pakistan. We conducted in-dept interviews and focused group discussions with key stakeholders using a semi-structured study guide. Data underwent rigorous thematic analysis and major themes identified included socio-cultural dynamics, community mobilization and incentives, behavioral patterns and care seeking practices for childhood diarrhea and pneumonia, infant and young child feeding practices (IYCF), immunization, water sanitation and hygiene (WASH) and access to healthcare. This study highlights shortcomings in knowledge, health practices and health systems. There was to a certain extent awareness of the importance of hygiene, immunization, nutrition, and care-seeking, but the practices were poor due to various reasons. Poverty and lifestyle were considered prime factors for poor health behaviors, while health system inefficiencies added to these as rural facilities lack equipment and supplies, resources, and funding. The community identified that intensive inclusive community engagement and demand creation strategies tied to conditioned short term tangible incentives could help foster behavior change.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".