ArticleApplied clinical informatics2022
Caries Risk Documentation And Prevention: eMeasures For Dental Electronic Health Records.
Article in Applied clinical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 11 citations in OpenAlex.
- Visit-level quality measurement reveals missed opportunities and overuse in preventive oral health care.Journal of the American Dental Association (1939) · 2026Article
- Identifying Gaps in Caries Prevention and Management: A Multi-Institutional Mixed-Methods Study.Research square · 2025Article
- Learning from data in dentistry: Summary of the third annual OpenWide conference.Learning health systems · 2024Article
- Evaluation of caries risk assessment practices among dental practitioners in Guangzhou, China: a cross-sectional study.Frontiers in oral health · 2024Article
- Development of quality measures to assess tooth decay outcomes from electronic health record data.Journal of public health dentistry · 2023Article
- The Application of Dental Fluoride Varnish in Children: A Low Cost, High-Value Implementation Aided by Passive Clinical Decision Support.Applied clinical informatics · 2023Article
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Authors and funding
16 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundLongitudinal patient level data available in the electronic health record (EHR) allows for the development, implementation, and validations of dental quality measures (eMeasures).
objectiveWe report the feasibility and validity of implementing two eMeasures. The eMeasures determined the proportion of patients receiving a caries risk assessment (eCRA) and corresponding appropriate risk-based preventative treatments for patients at elevated risk of caries (appropriateness of care [eAoC]) in two academic institutions and one accountable care organization, in the 2019 reporting year.
methodsBoth eMeasures define the numerator and denominator beginning at the patient level, populations' specifications, and validated the automated queries. For eCRA, patients who completed a comprehensive or periodic oral evaluation formed the denominator, and patients of any age who received a CRA formed the numerator. The eAoC evaluated the proportion of patients at elevated caries risk who received the corresponding appropriate risk-based preventative treatments.
resultsEHR automated queries identified in three sites 269,536 patients who met the inclusion criteria for receiving a CRA. The overall proportion of patients who received a CRA was 94.4% (eCRA). In eAoC, patients at elevated caries risk levels (moderate, high, or extreme) received fluoride preventive treatment ranging from 56 to 93.8%. For patients at high and extreme risk, antimicrobials were prescribed more frequently site 3 (80.6%) than sites 2 (16.7%) and 1 (2.9%).
conclusionPatient-level data available in the EHRs can be used to implement process-of-care dental eCRA and AoC, eAoC measures identify gaps in clinical practice. EHR-based measures can be useful in improving delivery of evidence-based preventative treatments to reduce risk, prevent tooth decay, and improve oral health.
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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.