Ontology highlight
ABSTRACT: Objective
To examine whether quality of dental care varies by age and over time and whether community-level characteristics explain these patterns.Data source
Deidentified medical and dental claims from a commercial insurer from January 2015 to December 2019.Study design
A retrospective cohort study. The primary outcome was a composite quality score, derived from seven dental quality measures (DQMs), with higher values corresponding to better quality. Hierarchical regression models identified person- and zip code-level factors associated with the quality.Data collection/extraction methods
Continuously enrolled US dental insurance beneficiaries younger than 21 years of age.Principal findings
Quality was assessed for 4.88 million person-years covering
SUBMITTER: Choi SE
PROVIDER: S-EPMC8763286 | biostudies-literature | 2022 Feb
REPOSITORIES: biostudies-literature