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A Data quality assurance process to improve the precision of analysis of routinely collected administrative data for the NHS (National Health Service) UK

COOK, Robert, DUBE, Alisen, ASADUZZAMAN, Md, BEALES, Tim, PEARCE, Ross, BLACKWELL, Luke, WHITEHOUSE, Claire, MILLER, Joshua, GOUGH, Malcolm, RADFORD, Mark, LEARY, Alison and JONES, Sarahjane (2025) A Data quality assurance process to improve the precision of analysis of routinely collected administrative data for the NHS (National Health Service) UK. Health Informatics Journal. (In Press)

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Abstract or description

Objective
This paper demonstrates a data quality assurance (DQA) process as a means to identify and handle flaws in data, and hence improve the accuracy of an investigation into the prevalence of harmful versus non-harmful/near-miss incident reports in a single NHS acute provider.
Methods
The three-step DQA process consists of an initial univariate data quality analysis, followed by a bivariate missingness analysis, and concluding with the design of appropriate multiple imputation techniques. With data quality established, the acuity and incident data were aggregated and aligned to the Ward-Month level for the period August 2015 to December 2020 inclusive. The final analysis was performed using binary regression, pooling results via Reuben’s Rule.
Results
The application of our three-step quality assurance process was able to detect and correct for common data quality issues. The resulting analysis identified a Ward dependency for the effect of Covid19 lockdown measures on incident reporting culture which would have been missed without the applied imputation strategy.
Conclusions
Our approach outlines a replicable methodology for understanding and fixing data quality issues in operational data. As daily operational decisions are being guided by data, it is important to leverage appropriate imputation techniques and ensure an optimal decision is reached.

Item Type: Article
Faculty: School of Health and Social Care > Nursing and Midwifery
Depositing User: Robert COOK
Date Deposited: 24 Mar 2025 11:34
Last Modified: 25 Mar 2025 04:30
URI: https://eprints.staffs.ac.uk/id/eprint/8832

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