Feasibility of implementing a cellphone-based reminder/recall strategy to improve childhood routine immunization in a low-resource setting: a descriptive report
Bibliographic record
Abstract
BACKGROUND: Reminder/recall systems are effective ways to improve immunization rates, but their feasibility in primary health care (PHC) settings in Nigeria has not been adequately evaluated. In this study we describe the acceptability and adaptability of immunization reminder/recall system in an urban setting in southwest Nigeria. METHODS: This is a descriptive report of a cluster randomized controlled trial. Four local government areas (LGAs) were randomly assigned into a cellphone reminder/recall intervention group or a usual care control group. Within each LGA, PHC centers were purposively selected to participate in the study. In each PHC center, mothers and their infants aged 0-3 months were enrolled into the two groups during the infants' first immunization visit. Mothers (or other contact persons) in the intervention group received cellphone calls reminding them to take their child for scheduled immunizations. Follow-up of all the children lasted till the final scheduled immunization visit for each child. The intervention lasted for 13 months. RESULTS: A total of 595 mothers/infants pairs (295 in the intervention group and 300 in the control group) participated in the study. Almost all mothers (n = 590, 99.2%) had access to their own cellphone or had access to a cellphone belonging to a significant other. Ninety-eight percent (n = 584) of all mothers were willing to receive immunization reminder/recall phone calls. Eighty-seven percent (n = 2023) of all calls (n = 2324) for the reminder/recall intervention went through to the recipients and of these calls, 1948 (96.3%) were received. The mean cost of each call in US Dollars was about 5 cents. Immunization compliance rate (the receipt of required number of doses of routine vaccines at the appropriate age at recommended interval) was 79.2% among the children in intervention group and 46.4% in the control group (p < 0.001). CONCLUSION: Results demonstrate that cellphone reminder/recall interventions to improve routine childhood immunization are feasible in PHC settings in limited-resource settings with wide cellphone coverage, such as urban areas in Nigeria. Further research to test the potential for scale up in a variety of settings is recommended. TRIAL REGISTRATION: PACTR201702002043415 ; Date of registration: 17 February 2017. (Retrospectively registered).
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How this classification was reachedexpand
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 | 0.015 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".