Utilising a data capture tool to populate a cardiac rehabilitation registry: a feasibility study

O�Neil, Adrienne; Cadilhac, Dominique A.; Grace, Sherry L.; Thomas, Emma; Grace, Sherry; Boyle, Douglas; Gallagher, Robyn; Neubeck, Lis; Cox, Nicholas; Manski-Nankervis, Jo-Anne; Henley-Smith, Sandra; Cadilhac, Dominique; O'Neil, Adrienne

Abstract

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 Victorian CR facilities 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 (GRHANITE™) was installed at the sites to extract data available in an electronic format from hospital sites. Formative evaluation including staff feedback was collected.
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. However, only seven of the 42 requested variables were available in an appropriate electronic format. 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 were collected in formats (e.g. paper-based, scanned or Excel spreadsheet) deemed unusable for electronic data capture. Consequently, manual data entry into a purpose-built online template housed on the REDCap platform was undertaken to complement data capture. 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.

Citation

O’Neil, A., Cadilhac, D. A., Grace, S. L., Thomas, E., Grace, S., Boyle, D., Gallagher, R., Neubeck, L., Cox, N., Manski-Nankervis, J., Henley-Smith, S., Cadilhac, D., & O'Neil, A. (2020). Utilising a data capture tool to populate a cardiac rehabilitation registry: a feasibility study. Heart, Lung and Circulation, 29(2), 224-232. https://doi.org/10.1016/j.hlc.2018.12.012

• Journal Article Type: Article
• Acceptance Date: Dec 14, 2018
• Online Publication Date: Jan 23, 2019
• Publication Date: 2020-02
• Deposit Date: Dec 18, 2018
• Publicly Available Date: Dec 19, 2018
• Journal: Heart, Lung and Circulation
• Print ISSN: 1443-9506
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 29
• Issue: 2
• Pages: 224-232
• DOI: https://doi.org/10.1016/j.hlc.2018.12.012
• Keywords: Cardiac rehabilitation, Registry, Data scraping,
• Public URL: http://researchrepository.napier.ac.uk/Output/1447360
• Contract Date: Dec 18, 2018