Krishna Kumar Kookal MS, Muhammad F. Walji PhD, MS, BS, Ryan Brandon MS, Ferit Kivanc MS, Elizabeth Mertz PhD, MA, Aubri Kottek MPH, Joanna Mullins RDH, BSDH, MHI, Shuang Liang MS, Larry E. Jenson DDS, Joel M. White DDS, MS
{"title":"系统评估牙科电子健康记录数据的质量,以调查口腔健康护理差异。","authors":"Krishna Kumar Kookal MS, Muhammad F. Walji PhD, MS, BS, Ryan Brandon MS, Ferit Kivanc MS, Elizabeth Mertz PhD, MA, Aubri Kottek MPH, Joanna Mullins RDH, BSDH, MHI, Shuang Liang MS, Larry E. Jenson DDS, Joel M. White DDS, MS","doi":"10.1111/jphd.12618","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objectives</h3>\n \n <p>This work describes the process by which the quality of electronic health care data for a public health study was determined. The objectives were to adapt, develop, and implement data quality assessments (DQAs) based on the National Institutes of Health Pragmatic Trials Collaboratory (NIHPTC) data quality framework within the three domains of completeness, accuracy, and consistency, for an investigation into oral health care disparities of a preventive care program.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Electronic health record data for eligible children in a dental accountable care organization of 30 offices, in Oregon, were extracted iteratively from January 1, 2014, through March 31, 2022. Baseline eligibility criteria included: children ages 0–18 with a baseline examination, Oregon home address, and either Medicaid or commercial dental benefits at least once between 2014 and 2108. Using the NIHPTC framework as a guide, DQAs were conducted throughout data element identification, extraction, staging, profiling, review, and documentation.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The data set included 91,487 subjects, 11 data tables comprising 75 data variables (columns), with a total of 6,861,525 data elements. Data completeness was 97.2%, the accuracy of EHR data elements in extracts was 100%, and consistency between offices was strong; 29 of 30 offices within 2 standard deviations of the mean (<i>s</i> = 94%).</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>The NIHPTC framework proved to be a useful approach, to identify, document, and characterize the dataset. The concepts of completeness, accuracy, and consistency were adapted by the multidisciplinary research team and the overall quality of the data are demonstrated to be of high quality.</p>\n </section>\n </div>","PeriodicalId":16913,"journal":{"name":"Journal of public health dentistry","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jphd.12618","citationCount":"0","resultStr":"{\"title\":\"Systematically assessing the quality of dental electronic health record data for an investigation into oral health care disparities\",\"authors\":\"Krishna Kumar Kookal MS, Muhammad F. Walji PhD, MS, BS, Ryan Brandon MS, Ferit Kivanc MS, Elizabeth Mertz PhD, MA, Aubri Kottek MPH, Joanna Mullins RDH, BSDH, MHI, Shuang Liang MS, Larry E. Jenson DDS, Joel M. White DDS, MS\",\"doi\":\"10.1111/jphd.12618\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objectives</h3>\\n \\n <p>This work describes the process by which the quality of electronic health care data for a public health study was determined. The objectives were to adapt, develop, and implement data quality assessments (DQAs) based on the National Institutes of Health Pragmatic Trials Collaboratory (NIHPTC) data quality framework within the three domains of completeness, accuracy, and consistency, for an investigation into oral health care disparities of a preventive care program.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>Electronic health record data for eligible children in a dental accountable care organization of 30 offices, in Oregon, were extracted iteratively from January 1, 2014, through March 31, 2022. Baseline eligibility criteria included: children ages 0–18 with a baseline examination, Oregon home address, and either Medicaid or commercial dental benefits at least once between 2014 and 2108. Using the NIHPTC framework as a guide, DQAs were conducted throughout data element identification, extraction, staging, profiling, review, and documentation.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>The data set included 91,487 subjects, 11 data tables comprising 75 data variables (columns), with a total of 6,861,525 data elements. Data completeness was 97.2%, the accuracy of EHR data elements in extracts was 100%, and consistency between offices was strong; 29 of 30 offices within 2 standard deviations of the mean (<i>s</i> = 94%).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>The NIHPTC framework proved to be a useful approach, to identify, document, and characterize the dataset. 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Systematically assessing the quality of dental electronic health record data for an investigation into oral health care disparities
Objectives
This work describes the process by which the quality of electronic health care data for a public health study was determined. The objectives were to adapt, develop, and implement data quality assessments (DQAs) based on the National Institutes of Health Pragmatic Trials Collaboratory (NIHPTC) data quality framework within the three domains of completeness, accuracy, and consistency, for an investigation into oral health care disparities of a preventive care program.
Methods
Electronic health record data for eligible children in a dental accountable care organization of 30 offices, in Oregon, were extracted iteratively from January 1, 2014, through March 31, 2022. Baseline eligibility criteria included: children ages 0–18 with a baseline examination, Oregon home address, and either Medicaid or commercial dental benefits at least once between 2014 and 2108. Using the NIHPTC framework as a guide, DQAs were conducted throughout data element identification, extraction, staging, profiling, review, and documentation.
Results
The data set included 91,487 subjects, 11 data tables comprising 75 data variables (columns), with a total of 6,861,525 data elements. Data completeness was 97.2%, the accuracy of EHR data elements in extracts was 100%, and consistency between offices was strong; 29 of 30 offices within 2 standard deviations of the mean (s = 94%).
Conclusions
The NIHPTC framework proved to be a useful approach, to identify, document, and characterize the dataset. The concepts of completeness, accuracy, and consistency were adapted by the multidisciplinary research team and the overall quality of the data are demonstrated to be of high quality.
期刊介绍:
The Journal of Public Health Dentistry is devoted to the advancement of public health dentistry through the exploration of related research, practice, and policy developments. Three main types of articles are published: original research articles that provide a significant contribution to knowledge in the breadth of dental public health, including oral epidemiology, dental health services, the behavioral sciences, and the public health practice areas of assessment, policy development, and assurance; methods articles that report the development and testing of new approaches to research design, data collection and analysis, or the delivery of public health services; and review articles that synthesize previous research in the discipline and provide guidance to others conducting research as well as to policy makers, managers, and other dental public health practitioners.