ArticleBMC oral health2021
Assessing the completeness of periodontal disease documentation in the EHR: a first step in measuring the quality of care.
Article in BMC oral health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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
8 citing papers in PubMed.
- Nonsteroidal Anti-Inflammatory Drugs and the Risk of Periodontitis Among Adults With Osteoarthritis: A Target Trial Emulation.Journal of clinical periodontology · 2026Article
- Implications of artificial intelligence in periodontal treatment maintenance: a scoping review.Frontiers in oral health · 2025Review
- Evaluating the completeness of electronic health records in dental education: a big data study.Frontiers in oral health · 2025Article
- Comparing gingivitis diagnoses by bleeding on probing (BOP) exclusively versus BOP combined with visual signs using large electronic dental records.Scientific reports · 2023Article
- Developing Automated Computer Algorithms to Track Periodontal Disease Change from Longitudinal Electronic Dental Records.Diagnostics (Basel, Switzerland) · 2023Article
- Developing Automated Computer Algorithms to Phenotype Periodontal Disease Diagnoses in Electronic Dental Records.Methods of information in medicine · 2022Article
- Comparing the effectiveness of competition as a method of reminding primary oral health care dentists to record diagnoses with two alternative methods used to enhance the recording of diagnoses in primary health care.International journal of circumpolar health · 2022Observational
- Translating periodontal data to knowledge in a learning health system.Journal of the American Dental Association (1939) · 2022Article
Corrections and comments
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Authors and funding
16 authors.
Funding
Abstract
backgroundOur objective was to measure the proportion of patients for which comprehensive periodontal charting, periodontal disease risk factors (diabetes status, tobacco use, and oral home care compliance), and periodontal diagnoses were documented in the electronic health record (EHR). We developed an EHR-based quality measure to assess how well four dental institutions documented periodontal disease-related information. An automated database script was developed and implemented in the EHR at each institution. The measure was validated by comparing the findings from the measure with a manual review of charts.
resultsThe overall measure scores varied significantly across the four institutions (institution 1 = 20.47%, institution 2 = 0.97%, institution 3 = 22.27% institution 4 = 99.49%, p-value < 0.0001). The largest gaps in documentation were related to periodontal diagnoses and capturing oral homecare compliance. A random sample of 1224 charts were manually reviewed and showed excellent validity when compared with the data generated from the EHR-based measure (Sensitivity, Specificity, PPV, and NPV > 80%).
conclusionOur results demonstrate the feasibility of developing automated data extraction scripts using structured data from EHRs, and successfully implementing these to identify and measure the periodontal documentation completeness within and across different dental institutions.
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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.