Assessment of the Nursing Quality Indicators for Reporting and Evaluation (NQuIRE) database using a data quality index. (2nd May 2020)

• Record Type: Journal Article
• Authors: Naik, Shanoja; Voong, Stephanie; Bamford, Megan; Smith, Kyle; Joyce, Angela; Grinspun, Doris
• Is Part Of: Journal of the American Medical Informatics Association. Volume 27:Number 5(2020)
• Page Start: 776
• Page End: 782
• Publication Date: 2020-05-02
• Subjects: data quality assessment -- data quality index -- evidence-based nursing -- framework -- health service organization; Medical informatics -- Periodicals; Information Services -- Periodicals; Medical Informatics -- Periodicals; Médecine -- Informatique -- Périodiques; Informatica; Geneeskunde; Informatique médicale; Computer network resources; Electronic journals; 610.285
• DOI: 10.1093/jamia/ocaa031
• Languages: English
• ISSNs: 1067-5027

Abstract

Abstract: A comprehensive data quality assessment is necessary to expand a nursing database that is designed for evaluating the impact of implementing Best Practice Guidelines (BPG) developed by the Registered Nurses' Association of Ontario (RNAO). This case report presents a method to standardize data quality assessments of the Nursing Quality Indicators for Reporting and Evaluation (NQuIRE) database by developing a data quality framework (DQF) and assessing key dimensions of the framework using a data quality index (DQI). The data quality index is a single key performance metric for assessing the quality of the database. The aims of sharing this case report are 2-fold: (1) to promote best practices for assessing data quality by developing and implementing a data quality framework and (2) to demonstrate an unprecedented method of assessing the data quality of a nursing database.