Using a linked database for epidemiology across the primary and secondary care divide: acute kidney injury.

ABSTRACT:

Background

NHS England has mandated the use in hospital laboratories of an automated early warning algorithm to create a consistent method for the detection of acute kidney injury (AKI). It generates an 'alert' based on changes in serum creatinine level to notify attending clinicians of a possible incident case of the condition, and to provide an assessment of its severity. We aimed to explore the feasibility of secondary data analysis to reproduce the algorithm outside of the hospital laboratory, and to describe the epidemiology of AKI across primary and secondary care within a region.

Methods

Using the Hampshire Health Record Analytical database, a patient-anonymised database linking primary care, secondary care and hospital laboratory data, we applied the algorithm to one

SUBMITTER: Johnson M 

PROVIDER: S-EPMC5504785 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature