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Record W2983041379 · doi:10.2196/14247

An Interactive Parent-Targeted Text Messaging Intervention to Improve Oral Health in Children Attending Urban Pediatric Clinics: Feasibility Randomized Controlled Trial

2019· article· en· W2983041379 on OpenAlexvenueno aff
Belinda Borrelli, Michelle Henshaw, Romano Endrighi, William G. Adams, Timothy Heeren, Rochelle K. Rosen, Beth C. Bock, Scott Werntz

Bibliographic record

VenueJMIR mhealth and uhealth · 2019
Typearticle
Languageen
FieldHealth Professions
TopicMobile Health and mHealth Applications
Canadian institutionsnot available
FundersNational Institute of Dental and Craniofacial Research
KeywordsRandomized controlled trialMedicineText messagingmHealthFamily medicinePsychologyNursingPsychological interventionInternet privacy

Abstract

fetched live from OpenAlex

BACKGROUND: Effective preventive treatments for dental decay exist, but caries experience among preschoolers has not changed, with marked disparities in untreated decay. Despite near-universal use of SMS text messaging, there are no studies using text messages to improve the oral health of vulnerable children. OBJECTIVE: This randomized controlled feasibility trial aimed to test the effects of oral health text messages (OHT) versus a control (child wellness text messages or CWT). OHT was hypothesized to outperform CWT on improving pediatric oral health behaviors and parent attitudes. METHODS: Parents with a child aged <7 years were recruited at urban clinics during pediatric appointments (79% [41/52] below poverty line; 66% [36/55] black) and randomized to OHT (text messages on brushing, dental visits, bottle and sippy cups, healthy eating and sugary beverages, and fluoride) or CWT (text messages on reading, safety, physical activity and development, secondhand smoke, and stress) groups. Automated text messages based on Social Cognitive Theory were sent twice each day for 8-weeks. Groups were equivalent on the basis of the number of text messages sent, personalization, interactivity, and opportunity to earn electronic badges and unlock animated characters. Assessments were conducted at baseline and 8 weeks later. Data were analyzed with linear mixed-effects models. RESULTS: A total of 55 participants were randomized (28 OHT and 27 CWT). Only one participant dropped out during the text message program and 47 (24 OHT and 23 CWT) completed follow up surveys. Response rates exceeded 68.78% (1040/1512) and overall program satisfaction was high (OHT mean 6.3; CWT mean 6.2; 1-7 scale range). Of the OHT group participants, 84% (21/25) would recommend the program to others. Overall program likeability scores were high (OHT mean 5.90; CWT mean 6.0; 1-7 scale range). Participants reported high perceived impact of the OHT program on brushing their child's teeth, motivation to address their child's oral health, and knowledge of their child's oral health needs (mean 4.7, 4.6, and 4.6, respectively; 1-5 scale range). At follow up, compared with CWT, OHT group participants were more likely to brush their children's teeth twice per day (odds ratio [OR] 1.37, 95% CI 0.28-6.50) and demonstrated improved attitudes regarding the use of fluoride (OR 3.82, 95% CI 0.9-16.8) and toward getting regular dental checkups for their child (OR 4.68, 95% CI 0.24-91.4). There were modest, but not significant, changes in motivation (F1,53=0.60; P=.45) and self-efficacy (F1,53=0.24; P=.63) to engage in oral health behaviors, favoring OHT (d=0.28 and d=0.16 for motivation and self-efficacy, respectively). CONCLUSIONS: The OHT program demonstrated feasibility was well utilized and appealing to the target population and showed promise for efficacy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0120.001

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.

Opus teacher head0.048
GPT teacher head0.481
Teacher spread0.433 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations39
Published2019
Admission routes1
Has abstractyes

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