Restorative Treatment Decisions for Deep Proximal Carious Lesions in Primary Molars

Abstract

To assess clinicians' individual variables that might influence decision-making for the restoration of deep proximal carious lesions in primary molars. A pre-coded questionnaire that sought participants' treatment choices for a deeply carious second mandibular primary molar, as depicted in a simulated periapical radiograph, along with a specific clinical scenario, was distributed among a random sample of 157 dentists and 15 paediatric dentists. Participants were asked to answer questions. After combining the pulpotomy and pulpectomy treatment choices under a 'pulp therapy' category, a binary dependent variable was constructed. Logistic regression of the ratio of the participants who would restore the questioned tooth by a method in question, was run. A total of 155 dentists (116 males and 39 females) completed the survey, giving a response rate of 90%. Of these 53% of dentists recommended pulpotomy followed by definitive restoration and 39% recommended removal of caries and restoration without pulp therapy. In the logistic regression model, males and graduates of English language undergraduate dental programs had higher probabilities of restoring without prior pulp therapy (p<0.03 and p<0.02, respectively). Compared with graduates of Asian programs, dentists who graduated from Eastern Europe and the Middle East, showed lower likelihoods of restoring the tooth without prior pulp therapy (p<0.01 and p<0.004, respectively). Dentists who treated an average of 6-16 child patients during a week had a lower probability of restoring the tooth without prior pulp therapy than those who were not currently involved in treating children (p<0.01). No other measured variables were associated with participant's treatment choices. The lack of agreement among dentists regarding their optimal treatment recommendations for deep proximal carious lesions appears to be due mainly to inter-individual, educational, training and practice characteristic factors.