Assessing the completeness of periodontal disease documentation in the EHR: a first step in measuring the quality of care

Author:

Mullins Joanna,Yansane Alfa,Kumar Shwetha V.,Bangar Suhasini,Neumann Ana,Johnson Todd R.,Olson Gregory W.,Kookal Krishna Kumar,Sedlock Emily,Kim Aram,Mertz Elizabeth,Brandon Ryan,Simmons Kristen,White Joel M.,Kalenderian Elsbeth,Walji Muhammad F.

Abstract

Abstract Background Our 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. Results The 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%). Conclusion Our 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.

Publisher

Springer Science and Business Media LLC

Subject

General Dentistry

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