ArticleJournal of public health dentistry2014
The willingness of US pediatric dentists to use atraumatic restorative treatment (ART) with their patients: a conjoint analysis.
Article in Journal of public health dentistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 12 citations in OpenAlex.
- Treatment Gaps Among Young Medicaid-Enrolled Children with Tooth Decay in Pediatric Primary Care.medRxiv : the preprint server for health sciences · 2026Article
- Effectiveness of Dental Restorative Materials in the Atraumatic Treatment of Carious Primary Teeth in Pediatric Dentistry: A Systematic Review.Children (Basel, Switzerland) · 2025Review
- Understanding decision making for the use of atraumatic restorative approach based on non-clinical factors by Indian pedodontists - a conjoint analysis.F1000Research · 2024Article
- Understanding Pediatric Dentists' Dental Caries Management Treatment Decisions: A Conjoint Experiment.JDR clinical and translational research · 2016Article
- Fertility Desires among Women Living with HIV.PloS one · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
Abstract
objectivesThe atraumatic restorative treatment (ART) was developed as an affordable, patient-friendly dental caries management procedure that does not need extensive operator training or special skills. The aim of this study was to determine factors that influence the decision to use ART using an innovative marketing research technique known as conjoint analysis.
methodsA conjoint survey was completed by 723 members of the American Academy of Pediatric Dentistry. Three factors (age of the child, level of cooperation, type of insurance) were varied across three levels to create nine patient scenarios. The weights that practitioners placed on these factors in decisions to use ART in treating carious lesions were determined by conjoint analysis. Factors such as lesion location, depth, and extension were fixed in the nine clinical scenarios.
resultsSeven-hundred twenty-three pediatric dentists completed the survey (32 percent). Age of the child was the most important factor in pediatric dentists' decisions to use ART (46 percent) compared with level of cooperation (41 percent) and type of insurance coverage (11 percent). For the age factor, the age of 2 years had the greatest utility (0.55) compared with age 4 (-0.09) and age 6 (-0.46). For types of insurance coverage, having no insurance (0.124) had the greatest utility compared with having public insurance (-0.119).
conclusionsAlthough insurance coverage was the least important among the factors, being without insurance, being very young, and being uncooperative was the scenario where pediatric dentists most favored ART when making trade offs between different factors using the conjoint design.
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What OpenQuestion holds
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.