Trial reportBMJ quality & safety2025
Effect of text message reminders to improve paediatric immunisation rates: a randomised controlled quality improvement project.
Trial report in BMJ quality & safety, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Bridging the Gap: Portal Messages as a Tool to Improve Breast Cancer and Diabetes Screening Rates.Journal of general internal medicine · 2026Trial
- Behaviorally Informed Text Messaging to Promote Colon Cancer Screening: A Quality Improvement Randomized Clinical Trial.JAMA network open · 2026Trial
- The Influence of Artificial Intelligence Scribes on Clinician Experience and Efficiency among Pediatric Subspecialists: A Rapid, Randomized Quality Improvement Trial.Applied clinical informatics · 2025Trial
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Previous studies have demonstrated that text message reminders can improve pediatric vaccination rates, including low income & diverse settings such as those served by federally qualified health centers. In this study, we aimed to improve compliance with routine childhood immunizations via a text message intervention in a network of urban, federally qualified health centers at a large academic medical center. We targeted parents or guardians of children aged 0-2 years who were overdue or due within 14 days for at least one routine childhood immunization without a scheduled appointment. In Round 1, two versions of a text were compared to a control (no text). In subsequent Rounds, a new text was compared to a control (no text). In each round the content, wording, and frequency of texts changed. Subjects were randomized to receive a text (treatment group(s)) or to not receive a text (control group) in each round between 2020 and 2022. The primary outcome was whether overdue vaccines had been given by 12 week follow up. The secondary outcome was appointment scheduling within the 72 hours after text messages were sent. In Round 1 (n=1203) no significant differences were found between groups in overdue vaccine administration per group or per patient at follow up, or in appointment scheduling. In Round 2 (n=251) there was no significant difference in vaccine administration per group or per patient. However, significantly more patients in the intervention group scheduled an appointment (9.1% vs. 1.7%, p=0.01). In Round 3 (n=1034), vaccine administration was significantly higher in the intervention group compared to the control overall (7.0% vs. 5.5%, 0.016) and per subject (p=0.02). Significantly more patients in the intervention group scheduled an appointment compared to the control (3.3% vs. 1.2%, p=0.02). We found that text messaging can be an effective intervention to promote health service utilization such as pediatric vaccination rates, which although improved in this study, remain low.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.