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

Humans Cardiac Rehabilitation Western Australia Benchmarking Quality of Health Care Victoria
Cardiac rehabilitation Computerised Medical record system Data Electronic records Informatics Quality improvement

Journal

Heart, lung & circulation
ISSN: 1444-2892
Titre abrégé: Heart Lung Circ
Pays: Australia
ID NLM: 100963739

Informations de publication

Date de publication:
Nov 2023
Historique:
received: 16 04 2023
revised: 29 07 2023
accepted: 12 09 2023
medline: 7 12 2023
pubmed: 28 10 2023
entrez: 27 10 2023
Statut: ppublish

Résumé

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. 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. 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). 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.

Sections du résumé

BACKGROUND 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 METHODS
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 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 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.

Identifiants

DOI: 10.1016/j.hlc.2023.09.013 PMID: 37891145
pubmed: 37891145
pii: S1443-9506(23)04328-7
doi: 10.1016/j.hlc.2023.09.013
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1361-1368

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.

Auteurs

Robyn Gallagher (R)

Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia. Electronic address: robyn.gallagher@sydney.edu.au.

Susie Cartledge (S)

Faculty of Medicine, Nursing and Health Sciences Monash University, Melbourne, Vic, Australia.

Clara Zwack (C)

Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.

Matthew Hollings (M)

Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.

Ling Zhang (L)

Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.

Sarah Gauci (S)

Faculty of Health Deakin University, Deakin University, Victoria, Australia.

Nicole Gordon (N)

Heart Health and Fitness Western Australia, Perth, WA, Australia.

Robert Zecchin (R)

Western Sydney Local Health District, Sydney, NSW, Australia.

Adrienne O'Neil (A)

Faculty of Health Deakin University, Deakin University, Victoria, Australia.

Rosy Tirimacco (R)

Integrated Cardiovascular Clinical Network Country Health South Australia (iCCnet SA), Adelaide, SA, Australia.

Samara Phillips (S)

Metro South Health Queensland, Brisbane, QLD, Australia.

Carolyn Astley (C)

South Australian Academic Health Science and Translation Centre, South Australian Health and Medical Research Institute, Adelaide, SA, Australia.

Tom Briffa (T)

School of Population and Global Health University of Western Australia, University of Western Australia, Perth, WA, Australia.

Karice Hyun (K)

Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia; ANZAC Research Institute, Department of Cardiology, Concord Hospital, Sydney, NSW, Australia.

Georgia K Chaseling (GK)

Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.

Dion Candelaria (D)

Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.

Julie Redfern (J)

Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.

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Classifications MeSH

questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › A National Survey of Patient Data Capture,...
questionsmedicales.fr › Établissements, main d'oeuvre et services de soins de santé › Services de santé › Réadaptation › Réadaptation cardiaque › A National Survey of Patient Data Capture,...
questionsmedicales.fr › Régions géographiques › Océanie › Australasie › Australie › Australie occidentale › A National Survey of Patient Data Capture,...
questionsmedicales.fr › Qualité, accès, évaluation des soins de santé › Qualité des soins de santé › Mécanismes d'évaluation des soins de santé › Évaluation de programme › Référenciation › A National Survey of Patient Data Capture,...
questionsmedicales.fr › Qualité, accès, évaluation des soins de santé › Qualité des soins de santé › A National Survey of Patient Data Capture,...
questionsmedicales.fr › Régions géographiques › Océanie › Australasie › Australie › Victoria › A National Survey of Patient Data Capture,...