Literature DB >> 28756959

Association of Failed Root Canal Treatment with Dentist and Institutional Volumes: A Population-based Cohort Study in Taiwan.

Chiachi Bonnie Lee1, Ya-Hui Chang2, Pei-Chun Wen2, Chung-Yi Li3.   

Abstract

INTRODUCTION: The volume-outcome relationships in failed root canal treatments (RCTs) are rarely studied. Thus, we aimed to examine the association of failed RCTs with dentist and institutional volumes.
METHODS: Ambulatory dental claims (2005-2010) of 1 million beneficiaries randomly selected from the National Health Insurance Research Database of Taiwan were used. This study is a population-based cohort study using a marginal Cox proportional hazards regression model in which the outcome variables cluster around individual patients. A total of 458,557 teeth that received first-ever RCT from 2005 to 2010 and were followed up until the end of 2010 were identified as the tooth cohort. These teeth were aggregated to 244,368 patients, 10,901 dentists, and 7122 institutions for analysis.
RESULTS: Dentists in the second, third, and highest quartiles all showed a significantly lower hazard ratio of failed RCTs than those with the lowest case volume, and their adjusted hazard ratios (aHRs) were 0.93, 0.92, and 0.90, respectively. Medical institutions in the second, third, and highest quartiles also showed a significantly lower hazard ratio of failed RCTs than those with the lowest case volume, and their aHRs were 0.93, 0.89, and 0.81, respectively. Teeth with a history of periodontitis also exhibited a significantly higher aHR of failure events. The use of rubber dams significantly reduced the rates of failed RCTs.
CONCLUSIONS: Dentists and institutions with high care volumes tended to show good RCT outcomes. Such an effect was prominent and robust among dental institutions.
Copyright © 2017 American Association of Endodontists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cox regression; dentist case volume; institutional case volume; root canal treatment; survival rate

Mesh:

Year:  2017        PMID: 28756959     DOI: 10.1016/j.joen.2017.06.016

Source DB:  PubMed          Journal:  J Endod        ISSN: 0099-2399            Impact factor:   4.171


  4 in total

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  4 in total

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