A National Survey of Patient Data Capture, Management, Reporting Practice in Australian Cardiac Rehabilitation Programs

Robyn Gallagher*, Susie Cartledge, Clara Zwack, Matthew Hollings, Ling Zhang, Sarah Gauci, Nicole Gordon, Robert Zecchin, Adrienne O'Neil, Rosy Tirimacco, Samara Phillips, Carolyn Astley, Tom Briffa, Karice Hyun, Georgia K Chaseling, Dion Candelaria, Julie Redfern

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

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Abstract

BACKGROUND: Lack of service data for cardiac rehabilitation limits understanding of program delivery, benchmarking and quality improvement. This study aimed to describe current practices, management, utilisation and engagement with quality indicators in Australian programs.

METHOD: Cardiac rehabilitation programs (n=396) were identified from national directories and networks. Program coordinators were surveyed on service data capture, management systems and adoption of published national quality indicators. Text responses were coded and classified. Logistic regression determined independent associates of the use of data for quality improvement.

RESULTS: A total of 319 (81%) coordinators completed the survey. Annual patient enrolments/programs were >200 (31.0%), 51-200 (46%) and ≤50 (23%). Most (79%) programs used an electronic system, alongside paper (63%) and/or another electronic system (19%), with 21% completely paper. While 84% knew of the national quality indicators, only 52% used them. Supplementary to patient care, data were used for reports to managers (57%) and funders (41%), to improve quality (56%), support funding (43%) and research (31%). Using data for quality improvement was more likely when enrolments where >200 (Odds ratio [OR] 3.83, 95% Confidence Interval [CI] 1.76-8.34) and less likely in Victoria (OR 0.24 95%, CI 0.08-0.77), New South Wales (OR 0.25 95%, CI 0.08-0.76) and Western Australia (OR 0.16 95%, CI 0.05-0.57).

CONCLUSIONS: The collection of service data for cardiac rehabilitation patient data and its justification is diverse, limiting our capacity to benchmark and drive clinical practice. The findings strengthen the case for a national low-burden approach to data capture for quality care.

Original languageEnglish
Pages (from-to)1361-1368
Number of pages8
JournalHeart Lung and Circulation
Volume32
Issue number11
DOIs
Publication statusPublished - Nov 2023
Externally publishedYes

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