Evidence map›Paper›PMID 39745701›Full record

Trial reportJAMA network open2025

Parent-Targeted Oral Health Text Messaging for Underserved Children Attending Pediatric Clinics: A Randomized Clinical Trial.

Belinda Borrelli, Romano Endrighi, Timothy Heeren, William G Adams, Stuart A Gansky, Scott Werntz, Nicolle Rueras, Danielle Stephens, Niloufar Ameli, Michelle M Henshaw

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03294590 (Randomized Controlled Trial of Interactive Parent-Targeted Text Messaging in Pediatric Clinics to Reduce Caries Among Urban Children), which is not on this map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

NCT03294590 nacompletednot on this map

Randomized Controlled Trial of Interactive Parent-Targeted Text Messaging in Pediatric Clinics to Reduce Caries Among Urban Children

TypeinterventionalSponsorBoston UniversityRan2018 to 2022Enrolled754ConditionsCaries, Dental, Health BehaviorArmsOHT Parent targeted text messages, CWT Parent targeted text messages
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Development and evaluation of an early childhood caries prediction model: a deep learning-based hybrid statistical modelling approach.European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Belinda BorrelliCenter for Behavioral Science Research, Boston University Henry M. Goldman School of Dental Medicine, Boston, Massachusetts.
Romano EndrighiCenter for Behavioral Science Research, Boston University Henry M. Goldman School of Dental Medicine, Boston, Massachusetts.
Timothy HeerenDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts.
William G AdamsDepartment of Pediatrics, Boston Medical Center and Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts.
Stuart A GanskyCenter to Address Disparities in Children's Oral Health, University of California, San Francisco School of Dentistry.
Scott WerntzAccrete Health Partners LLC, Lincolnshire, Illinois.
Nicolle RuerasBoston College School of Social Work, Boston, Massachusetts.
Danielle StephensAcademic Research Services, University of California, San Francisco.
Niloufar AmeliCenter to Address Disparities in Children's Oral Health, University of California, San Francisco School of Dentistry.
Michelle M HenshawOffice of Global and Population Health, Boston University Henry M. Goldman School of Dental Medicine, Boston, Massachusetts.

Funding

COORDINATING CENTER TO HELP ELIMINATE/REDUCE ORAL HEALTH INEQUALITIES IN CHILDRENU01DE025507 · NIDCR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GANSKY, STUART A · 2015 to 2020
$11.9M
Integrating Interactive Parent Text Messaging and Oral Health Guidelines into Pediatric Community Health Centers to Reduce Early Childhood CariesUH2DE025492 · NIDCR · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BORRELLI, BELINDA, HENSHAW, MICHELLE M · 2015 to 2016
$1.2M
NIDCR NIH HHS U01 DE025507NIDCR NIH HHS UH2 DE025492
6 · The paper itself

Abstract

Importance: Caries is the most common chronic childhood disease, with substantial health disparities. Objective: To test whether parent-targeted oral health text (OHT) messages outperform child wellness text (CWT) messages on pediatric caries increment and oral health behaviors among underserved children attending pediatric well-child visits. Design, Setting, and Participants: The parallel randomized clinical trial, Interactive Parent-Targeted Text Messaging in Pediatric Clinics to Reduce Caries Among Urban Children (iSmile), included participants who were recruited during pediatric medical clinic visits at 4 sites in Boston, Massachusetts, that serve low-income and racially and ethnically diverse (herein, underserved) populations. English-speaking or Spanish-speaking caregivers of children younger than 7 years with at least 1 tooth were eligible. The study, which had a dose-matched design, was conducted from March 9, 2018, to February 28, 2022, with a 24-month follow-up. Text messages were sent for 4 months, plus a 1-month booster at 12 months. Intervention: Text messages were bilingual, automated, interactive, customized, and gamified. OHT messages focused on child toothbrushing and preventive dental visits. CWT messages focused on reading and child safety. Both included a choice of other content topics pertinent to their randomized arm. Main Outcomes and Measures: The primary outcome was 24-month caries increment assessed by calibrated examiners. Secondary outcomes were oral health behaviors known to predict pediatric caries (eg, toothbrushing, sugar-sweetened beverages, diet, fluoride toothpaste use, and preventive dental visits), which were assessed by self-report, and participant satisfaction with the text message program. Caries examinations occurred at baseline and 12 and 24 months later. Self-report surveys occurred at these time points and at the end of the text message program (4 months). Results: Among 1388 caregivers who were approached for eligibility, 969 were eligible. Of these, 754 caregivers (mean [SD] age, 32.9 [7.2] years; 713 female [94.6%]) and 754 children (mean [SD] age, 2.9 [1.7] years; 377 female [50.0%]) were randomized (77.8%); 449 of 657 participants (68.3%) were below the poverty line. Responses to text messages were high (OHT group: 67.9%; CWT group: 69.6%). There were no significant group differences in caries increment (OHT group: 43.0% vs CWT group: 42.7%; adjusted odds ratio, 0.99 [95% CI, 0.63-1.56]). Children in the OHT messaging group were significantly more likely to meet toothbrushing guidelines (odds ratio [OR], 1.77 [95% CI, 1.13-2.78]), have preventive dental visits (pooled OR, 1.51 [95% CI, 1.18-1.94]), and use fluoride toothpaste (pooled OR, 1.46 [95% CI, 1.06-2.01]) compared with those in the CWT messaging group over 24 months. OHT messages had a significant effect on caregivers' own toothbrushing (pooled mean difference, 0.48 [95% CI, 0.03-0.92]). Conclusion and Relevance: The findings of this randomized clinical trial including underserved children and their caregivers suggest that OHT messages had significant and sustained effects on preventive dental behaviors known to reduce caries among both caregivers and children, but had no effect on caries increment in children. Highly appealing and low-burden text messages coupled with evidence of change in oral health behaviors may be important in reducing oral health disparities. Trial Registration: ClinicalTrials.gov Identifier: NCT03294590.

Indexed as

Dental CariesOral HealthParentsText MessagingAdultBostonChildChild, PreschoolFemaleHumansMaleVulnerable Populations

Identifiers

PMID39745701
PMCPMC11696445

What OpenQuestion holds

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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.