Experiences, perceptions and preferences of mothers towards childhood immunization reminder/recall in Ibadan, Nigeria: a cross-sectional study
Bibliographic record
Abstract
INTRODUCTION: Immunization reminder/recall system is proven as one of the effective ways of improving immunization rates. Prior to the development and implementation of an immunization reminder/recall system intervention, we explored the experiences, preferences and perceptions towards childhood immunization reminder/recall among 614 mothers of infants in Ibadan, Nigeria. METHODS: A cross-sectional health facility-based survey utilizing a semi-structured questionnaire was conducted in four Primary Health Care centers. Descriptive statistics were computed using SPSS. Logistic models were used to investigate the relationships with specific outcomes. RESULTS: Only 3.9% had ever heard of immunization reminder/recall and 1.5% had ever received one. However, 97.9% were willing to record their cellphone numbers in the clinics for immunization reminder/recall and 95.1% were willing to receive. Their preferred communication modes were cell phone calls (57.6%) or text messages/SMS (35.6%). Only 2.2% preferred home-visits and 0.4%, e-mails. About 4% were not willing to receive any form of immunization reminder/recall. Mothers with post-secondary education were more likely to prefer SMS than other mothers (OR 2.3, 95% CI 1.7-3.3, p. CONCLUSION: This study provided critical baseline data for designing a reminder/recall intervention for routine childhood immunization in the study communities. The findings may serve as a guide for public health professionals in designing reminder/recall strategies to improve childhood immunization.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | high |
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".