Evidence map›Paper›PMID 38980678›Full record

Trial reportJAMA network open2024

Multilevel Interventions and Dental Attendance in Pediatric Primary Care: A Cluster Randomized Clinical Trial.

Suchitra Nelson, Jeffrey M Albert, David Selvaraj, Shelley Curtan, Hasina Momotaz, Gloria Bales, Sarah Ronis, Siran Koroukian, Johnie Rose

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03385629 (Multi-Level Interventions to Reduce Caries Disparities in Primary Care Settings), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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.

NCT03385629 nacompletednot on this map

Multi-Level Interventions to Reduce Caries Disparities in Primary Care Settings

TypeinterventionalSponsorCase Western Reserve UniversityRan2017 to 2022Enrolled2,108ConditionsDental CariesArmsCSM theory-based didactic education and skills training, AAP-based didactic education, Practice EMR changes
3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Observational
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

9 authors.

Suchitra NelsonDepartment of Community Dentistry, Case Western Reserve University School of Dental Medicine, Cleveland, Ohio.
Jeffrey M AlbertDepartment of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio.
David SelvarajDepartment of Community Dentistry, Case Western Reserve University School of Dental Medicine, Cleveland, Ohio.
Shelley CurtanDepartment of Community Dentistry, Case Western Reserve University School of Dental Medicine, Cleveland, Ohio.
Hasina MomotazDepartment of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio.
Gloria BalesDepartment of Community Dentistry, Case Western Reserve University School of Dental Medicine, Cleveland, Ohio.
Sarah RonisUniversity Hospitals Rainbow Center for Child Health & Policy, Cleveland, Ohio.
Siran KoroukianDepartment of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio.
Johnie RoseDepartment of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio.

Funding

TUMOR METABOLISM PROGRAMP30CA043703 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI Amar Desai · 1987 to 2026
$142.3M
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
Multi-Level Interventions to Reduce Caries Disparities in Primary Care SettingsUH3DE025487 · NIDCR · CASE WESTERN RESERVE UNIVERSITY · PI NELSON, SUCHITRA S. · 2017 to 2021
$5.6M
Long-Term Effects of COVID-19 and Health Care Delivery Changes on Populations Living with Multiple Chronic ConditionsR01AG074946 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI COOK, NICOLE JILL, STANGE, KURT C · 2021 to 2025
$2.5M
NCCDPHP CDC HHS U48 DP005030NCCDPHP CDC HHS U48 DP006404NCI NIH HHS P30 CA043703NIA NIH HHS R01 AG074946NIDCR NIH HHS U01 DE025507NIDCR NIH HHS UH3 DE025487
6 · The paper itself

Abstract

Importance: Untreated tooth decay is disproportionately present among low-income young children. While American Academy of Pediatrics (AAP) guidelines require pediatric clinicians to implement oral health care, the effectiveness of these oral health interventions has been inconclusive. Objective: To test the effectiveness of multilevel interventions in increasing dental attendance and reducing untreated decay among young children attending well-child visits (WCVs). Design, Setting, and Participants: The Pediatric Providers Against Cavities in Children's Teeth study is a cluster randomized clinical trial that was conducted at 18 pediatric primary care practices in northeast Ohio. The trial data were collected between November 2017 and July 2022, with data analyses conducted from August 2022 to March 2023. Eligible participants included Medicaid-enrolled preschoolers aged 3 to 6 years attending WCVs at participating practices who were enrolled at baseline (WCV 1) and followed-up for 2 consecutive examinations (WCV 2 and WCV 3). Interventions: Clinicians in the intervention group received both the practice-level (electronic medical record changes to document oral health) and clinician-level (common-sense model of self-regulation theory-based oral health education and skills training) interventions. Control group clinicians received AAP-based standard oral health education alone. Main Outcomes and Measures: Dental attendance was determined through clinical dental examinations conducted by hygienists utilizing International Caries Detection and Assessment System criteria and also from Medicaid claims data. Untreated decay was determined through clinical examinations. A generalized estimating equations (GEE) approach was used for both clinical examinations and Medicaid claims data. Results: Eighteen practices were randomized to either intervention or control. Participants included 63 clinicians (mean [SD] age, 47.0 [11.3] years; 48 female [76.2%] and 15 male [23.8%]; 28 in the intervention group [44.4%]; 35 in the control group [55.6%]) and 1023 parent-child dyads (mean [SD] child age, 56.1 [14.0] months; 555 male children [54.4%] and 466 female children [45.6%]; 517 in the intervention group [50.5%]; 506 in the control group [49.5%]). Dental attendance from clinical examinations was significantly higher in the intervention group (170 children [52.0%]) vs control group (150 children [43.1%]) with a difference of 8.9% (95% CI, 1.4% to 16.4%; P = .02). The GEE model using clinical examinations showed a significant increase in dental attendance in the intervention group vs control group (adjusted odds ratio, 1.34; 95% CI, 1.07 to 1.69). From Medicaid claims, the control group had significantly higher dental attendance than the intervention group at 2 years (332 children [79.6%] vs 330 children [73.7%]; P = .04) but not at 3 years. A clinically but not statistically significant reduction in mean number of untreated decay was found in the intervention group compared with controls (B = -0.27; 95% CI, -0.56 to 0.02). Conclusions and Relevance: In this cluster randomized clinical trial, children in the intervention group had better dental outcomes as was evidenced by increased dental attendance and lower untreated decay. These findings suggest that intervention group clinicians comprehensively integrated oral health services into WCVs. Trial Registration: ClinicalTrials.gov Identifier: NCT03385629.

Indexed as

Dental CariesPrimary Health CareChildChild, PreschoolDental Care for ChildrenFemaleHumansMaleMedicaidOhioOral HealthUnited States

Identifiers

PMID38980678
PMCPMC11234234

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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.