Background
Clinical registries are effective for monitoring clinical practice, yet manual data
collection can limit their implementation and sustainability. The objective of this
study was to assess the feasibility of using a data capture tool to collect cardiac
rehabilitation (CR) minimum variables from electronic hospital administration databases
to populate a new CR registry in Australia.
Methods
Two CR facilities located in Melbourne, Australia participated, providing data on
42 variables including: patient socio-demographics, risk factors and co-morbidities,
CR program information (e.g. number of CR sessions), process indicators (e.g. wait
time) and patient outcomes (e.g. change in exercise capacity). A pre-programmed, automated
data capture tool (GeneRic Health Network Information for the Enterprise [
[20]
]: https://www.grhanite.com/) (GRHANITE™) was installed at the sites to extract data available in an electronic
format from hospital sites. Additionally, clinicians entered data on CR patients into
a purpose-built web-based tool (Research Electronic Data Capture: https://www.project-redcap.org/) (REDCap). Formative evaluation including staff feedback was collected.University of Melbourne. GRHANITE™ Health Informatics Unit. In: Boyle D, editor. https://www.grhanite.com/.
Results
The GRHANITE™ tool was successfully installed at the two CR sites and data from 176
patients (median age = 67 years, 76% male) were securely extracted between September–December
2017. Data pulled electronically from hospital databases was limited to seven of the
42 requested variables. This is due to CR sites only capturing basic patient information
(e.g. socio-demographics, CR appointment bookings) in hospital administrative databases.
The remaining clinical information required for the CR registry was collected in formats
(e.g. paper-based, scanned or Excel spreadsheet) deemed unusable for electronic data
capture. Manually entered data into the web-tool enabled data collection on all remaining
variables. Compared to historical methods of data collection, CR staff reported that
the REDCap tool reduced data entry time.
Conclusions
The key benefits of a scalable, automated data capture tool like GRHANITE™ cannot
be fully realised in settings with under-developed electronic health infrastructure.
While this approach remains promising for creating and maintaining a registry that
monitors the quality of CR provided to patients, further investment is required in
the digital platforms underpinning this approach.
Keywords
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Article info
Publication history
Published online: January 23, 2019
Accepted:
December 14,
2018
Received in revised form:
November 26,
2018
Received:
August 27,
2018
Identification
Copyright
© 2019 Australian and New Zealand Society of Cardiac and Thoracic Surgeons (ANZSCTS) and the Cardiac Society of Australia and New Zealand (CSANZ). Published by Elsevier B.V. All rights reserved.
