Development of quality measures to assess tooth decay outcomes from electronic health record data Article Swipe
Ryan Brandon
,
Suhasini Bangar
,
Alfa Yansane
,
Ana Neumann
,
Joanna Mullins
,
Elsbeth Kalenderian
,
Muhammad F. Walji
,
Joel M. White
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1111/jphd.12545
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1111/jphd.12545
Objectives To develop outcomes of care quality measures derived from the dental electronic health record (EHR) to assess the occurrence and timely treatment of tooth decay. Methods Quality measures were developed to assess whether decay was treated within 6 months and if new decay occurred in patients seen. Using EHR‐derived data of the state of each tooth surface, algorithms compared the patient's teeth at different dates to determine if decay was treated or new decay had occurred. Manual chart reviews were conducted at three sites to validate the measures. The measures were implemented and scores were calculated for three sites over four calendar years, 2016 through 2019. Results About 954 charts were manually reviewed for the timely treatment of tooth decay measure, with measure performance of sensitivity 97%, specificity 85%, positive predictive value (PPV) 91%, negative predictive value (NPV) 95%. About 739 charts were reviewed for new decay measure, with sensitivity 94%, specificity 99%, PPV 99%, and NPV 94%. Across all sites and years, 52.8% of patients with decay were fully treated within 6 months of diagnosis ( n = 247,959). A total of 23.8% of patients experienced new decay, measured at an annual exam ( n = 640,004). Conclusion Methods were developed and validated for assessing timely treatment of decay and occurrence of new decay derived from EHR data, creating effective outcome measures. These EHR‐based quality measures produce accurate and reliable results that support efforts and advancement in quality assessment, quality improvement, patient care and research.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1111/jphd.12545
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/jphd.12545
- OA Status
- hybrid
- Cited By
- 3
- References
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- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4304774411
All OpenAlex metadata
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https://openalex.org/W4304774411Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1111/jphd.12545Digital Object Identifier
- Title
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Development of quality measures to assess tooth decay outcomes from electronic health record dataWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-10-12Full publication date if available
- Authors
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Ryan Brandon, Suhasini Bangar, Alfa Yansane, Ana Neumann, Joanna Mullins, Elsbeth Kalenderian, Muhammad F. Walji, Joel M. WhiteList of authors in order
- Landing page
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https://doi.org/10.1111/jphd.12545Publisher landing page
- PDF URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/jphd.12545Direct link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/jphd.12545Direct OA link when available
- Concepts
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Medicine, Distance decay, Electronic health record, Predictive value, Chart, Quality (philosophy), Dental decay, Health care, Statistics, Dentistry, Oral health, Mathematics, Internal medicine, Economics, Biology, Epistemology, Philosophy, Economic growth, EcologyTop concepts (fields/topics) attached by OpenAlex
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3Total citation count in OpenAlex
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2024: 1, 2023: 2Per-year citation counts (last 5 years)
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15Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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