| Literature DB >> 32364233 |
Shanoja Naik1, Stephanie Voong1, Megan Bamford1, Kyle Smith1, Angela Joyce1, Doris Grinspun1.
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.Keywords: data quality assessment; data quality index; evidence-based nursing; framework; health service organization
Mesh:
Year: 2020 PMID: 32364233 PMCID: PMC7647324 DOI: 10.1093/jamia/ocaa031
Source DB: PubMed Journal: J Am Med Inform Assoc ISSN: 1067-5027 Impact factor: 4.497