Evidence map›Paper›PMID 42335042›Full record

ArticlePLoS medicine2026

Comparisons of core component delivery in cardiac rehabilitation programs by country income classification and decade based on the 2025 Global Audit Update: A survey study.

Gabriela Lima de Melo Ghisi, Rachael P Carson, Karam Turk Adawi, Rongjing Ding, Warner M Mampuya, Mariya P Jiandani, Jimena Martinez, Monserrat Cruz Rivero, Claudia V Anchique, Dinah L van Schalkwijk and 16 more

Abstract readComparative Study
In one paragraph

Article in PLoS medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

26 authors.

Gabriela Lima de Melo GhisiKITE Research Institute, University Health Network, University of Toronto, Toronto, Canada.ORCID https://orcid.org/0000-0001-7946-3718
Rachael P CarsonFaculty of Health, York University, Toronto, Canada.
Karam Turk AdawiDepartment of Public Health, College of Health Science, QU Health, Qatar University, Doha, Qatar.ORCID https://orcid.org/0000-0002-4162-7761
Rongjing DingCardiac Rehabilitation Center, Peking United Medical College Hospital, Beijing, China.
Warner M MampuyaDepartment of Medicine, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Canada.ORCID https://orcid.org/0000-0003-0994-932X
Mariya P JiandaniDepartment of Physical Therapy, Seth GS Medical College and KEM Hospital, Mumbai, India.ORCID https://orcid.org/0000-0002-9884-8055
Jimena MartinezInstituto Medico DAMIC, Córdoba, Argentina.
Monserrat Cruz RiveroCasa Corazón Otoch Puksikal, Mérida, Mexico.ORCID https://orcid.org/0009-0004-2319-1150
Claudia V AnchiqueMediagnóstica Tecmedi SAS, Duitama, Colombia.ORCID https://orcid.org/0000-0001-8649-7289
Dinah L van SchalkwijkDepartment of Cardiology, Radboud University Medical Center, Nijmegen, The Netherlands.ORCID https://orcid.org/0000-0002-0163-7762
Jonathan GallagherDepartment of Cardiology (Cardiac Rehabilitation), Beaumont Hospital, Dublin, Ireland.ORCID https://orcid.org/0000-0002-2342-8013
Buket AkinciPhysiotherapy and Rehabilitation Department, Faculty of Health Sciences, Biruni University, Istanbul, Turkey.
Dion CandelariaFaculty of Medicine and Health, Susan Wakil School of Nursing and Midwifery, The University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0001-7547-2860
Jirapa ChampaiboonDepartment of Rehabilitation Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.ORCID https://orcid.org/0000-0001-5901-5619
Daniel F Quesada-ChavesHospital San Vicente de Paul, Heredia, Costa Rica.ORCID https://orcid.org/0000-0003-4367-549X
Tone M NorekvålDepartment of Heart Disease, Haukeland University Hospital, Bergen, Norway.
Iwona SzadkowskaDepartment of Sports Medicine, Medical University of Lodz, Lodz, Poland.ORCID https://orcid.org/0000-0003-3804-145X
Borut JugCentre for Preventive Cardiology, Department of Vascular Medicine, University Medical Centre Ljubljana, Ljubljana, Slovenia.ORCID https://orcid.org/0000-0001-6015-2127
Evangelia KouidiLaboratory of Sports Medicine, Faculty of Physical Education and Sport Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece.ORCID https://orcid.org/0000-0002-5023-2542
Marta SuperviaDepartment of Physical Medicine and Rehabilitation, Gregorio Marañón General University Hospital, Gregorio Marañón Health Research Institute, Madrid, Spain.ORCID https://orcid.org/0000-0002-5178-8315
Won-Seok KimDepartment of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam-si, South Korea.ORCID https://orcid.org/0000-0002-1199-5707
Chamila MettanandaDepartment of Pharmacology, University of Kelaniya, Faculty of Medicine, Ragama, Sri Lanka.ORCID https://orcid.org/0000-0002-3328-1553
Lilian MbauCardiac Rehabilitation, Centre for Cardiovascular Prevention and Rehabilitation, Nairobi, Kenya.
Gulsim T AimakovaUMC Heart Centre, Astana, Kazakhstan.
Sherry L GraceFaculty of Health, York University, Toronto, Canada.ORCID https://orcid.org/0000-0001-7063-3610
ICCPR Global Cardiac Rehabilitation Audit Update Investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular disease (CVD) remains a leading global health burden. Cardiac rehabilitation (CR) is essential to reducing morbidity and improving patient outcomes. Since the COVID-19 pandemic, CR delivery worldwide has evolved, yet these changes have not been systematically charactemkjrized. The objective of this study was to characterize globally: (1) the delivery of core CR components, including risk factors assessed, patient education practices, and program resources; (2) differences in these elements by country income classification and relative to the initial 2016 Global CR Audit. METHODS AND

findingsA cross-sectional Audit update was conducted. Program-level data were collected from May 1st to September 1st 2025 using a REDCap survey adapted from previous Audits. Eligible respondents were leads of phase II/post-discharge CR programs providing at least an initial assessment, structured aerobic exercise, and ≥1 additional core component. ICCPR associations and local leaders supported program identification. Main outcomes were core components delivered (10 assessed), risk factors assessed (14 assessed), patient education dose (hours/patient/program), and program resources (17 assessed). Generalized linear mixed models (GLMM) tested differences by income classification and (when applicable) changes since 2016. Of 7,025 programs identified globally, 1,505 (62% median country response rate) initiated a survey from 90/113 (80%) countries with CR. The median number of core components offered was 8/program (p25, p75 = 6, 10), with upper-middle income countries offering significantly more components overall (median = 9), and also high-income countries offering more than low-income countries (8 versus 6, p < 0.001; decade change not tested). Programs assessed 11 risk factors/program (median; p25, p75 = 8, 12). This significantly differed by country income class (GLMM p < 0.001), with programs in lower-middle income countries assessing fewer risk factors than those in both upper-middle-income (mean difference = 2.2; p < 0.001) and high-income countries (mean difference = 1.6, p < 0.001). There were significant increases in 2025 for glucose, sleep apnea and sedentariness, among others (ps < 0.01). Patient education dose was 3 hours/supervised program (median; p25, p75 = 1, 7), a significant reduction in many high-income countries since 2016 (p = 0.01). Globally, gym space, resistance training equipment, and individual assessment/counseling space were the most common resources (all >90%; median = 11; p25, p75 = 8, 14). Resource availability differed significantly by country income class (GLMM p < 0.001), with programs in upper-middle-income countries reporting more resources than those in high-income (mean difference = 1.5), lower-middle-income (mean difference = 2.6), and low-income countries (mean difference = 4.8; all p < 0.001). While there were no significant differences in total resources, resistance training equipment, electronic patient charts, body composition analyzers, and stress testing with O2 were more available in 2025, and the availability of administrative office space and group education room less so (ps < .01). Limitations include potential selection and ascertainment bias from incomplete program identification as well as variable, modest program response rates, limited representation from low-income settings, reliance on self-reported survey data, as well as measurement differences across Audit cycles, which may affect generalizability and precision of findings.

conclusionsCR programs worldwide continue to deliver guideline-concordant care, with education potentially shifting modality. However, modest inequities persist for resource-constrained programs.

Indexed as

Cardiac RehabilitationCOVID-19IncomeCross-Sectional StudiesGlobal HealthHumansPatient Education as TopicRisk FactorsSARS-CoV-2Surveys and Questionnaires

Identifiers

PMID42335042
PMCPMC13289909

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.