Systematically assessing the quality of dental electronic health record data for an investigation into oral health care disparities

IF 1.8 4区 医学 Q2 DENTISTRY, ORAL SURGERY & MEDICINE Journal of public health dentistry Pub Date : 2024-04-24 DOI:10.1111/jphd.12618
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
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Abstract

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.

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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。
目的:本研究描述了确定一项公共卫生研究的电子医疗数据质量的过程。其目的是根据美国国立卫生研究院实用试验合作组织(NIHPTC)的数据质量框架,在完整性、准确性和一致性三个领域内,调整、开发和实施数据质量评估(DQAs),以调查预防性保健计划的口腔保健差异。方法从 2014 年 1 月 1 日到 2022 年 3 月 31 日,反复提取俄勒冈州一家牙科责任医疗机构 30 个诊室中符合条件的儿童的电子健康记录数据。基线资格标准包括:在 2014 年至 2108 年期间至少接受过一次基线检查、俄勒冈州家庭住址以及医疗补助或商业牙科福利的 0-18 岁儿童。以 NIHPTC 框架为指导,在数据元素识别、提取、分期、剖析、审查和记录的整个过程中都进行了 DQA。结果数据集包括 91,487 个受试者、由 75 个数据变量(列)组成的 11 个数据表以及共计 6,861,525 个数据元素。数据完整性为 97.2%,提取的电子病历数据元素准确率为 100%,各诊室之间的一致性很强;30 个诊室中有 29 个诊室的数据在平均值的 2 个标准差以内(s = 94%)。多学科研究小组对完整性、准确性和一致性的概念进行了调整,数据的整体质量被证明是高质量的。
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来源期刊
Journal of public health dentistry
Journal of public health dentistry 医学-公共卫生、环境卫生与职业卫生
CiteScore
3.80
自引率
4.30%
发文量
69
审稿时长
6-12 weeks
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.
期刊最新文献
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