Evidence map›Paper›PMID 32845314›Full record

SynthesisEuropean heart journal. Quality of care & clinical outcomes2022

European Society of Cardiology methodology for the development of quality indicators for the quantification of cardiovascular care and outcomes.

Suleman Aktaa, Gorav Batra, Lars Wallentin, Colin Baigent, David Erlinge, Stefan James, Peter Ludman, Aldo P Maggioni, Susanna Price, Clive Weston and 2 more

Registry-linked trialAbstract readSystematic Review
In one paragraph

Synthesis in European heart journal. Quality of care & clinical outcomes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07283809 (European Unified Registries for Heart Care Evaluation and Randomised Trials), which is not on this map. Cited by 30 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 8 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

NCT07283809 recruitingnot on this mapstarted 2024, after this paper: background citation

European Unified Registries for Heart Care Evaluation and Randomised Trials

Typeobservational_patient_registrySponsorHeart Care FoundationRan2024 to 2027Enrolled5,000ConditionsACS - Acute Coronary SyndromeArmsAdherence to European Society of Cardiology (ESC) quality indicators
3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 8 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. European Society of Cardiology quality indicators for the management of patients with ventricular arrhythmias and the prevention of sudden cardiac death.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023
    Guideline
  6. Guideline
  7. Pooled it
  8. European Society of Cardiology Quality Indicators for the care and outcomes of cardiac pacing: developed by the Working Group for Cardiac Pacing Quality Indicators in collaboration with the European Heart Rhythm Association of the European Society of Cardiology.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2022
    Pooled it
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Suleman AktaaLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9JT, UK.ORCID 0000-0002-9854-481X
Gorav BatraDepartment of Medical Sciences, Cardiology and Uppsala Clinical Research Center, Uppsala University, Uppsala 751 85, Sweden.
Lars WallentinDepartment of Medical Sciences, Cardiology and Uppsala Clinical Research Center, Uppsala University, Uppsala 751 85, Sweden.ORCID 0000-0003-0378-6531
Colin BaigentMRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.ORCID 0000-0003-4856-7420
David ErlingeDepartment of Cardiology, Clinical Sciences, Lund University, Lund SE-221 85, Sweden.ORCID 0000-0003-3042-5766
Stefan JamesDepartment of Medical Sciences, Cardiology and Uppsala Clinical Research Center, Uppsala University, Uppsala 751 85, Sweden.
Peter LudmanInstitute of Cardiovascular Sciences, University of Birmingham, Birmingham B15 2TT, UK.
Aldo P MaggioniNational Association of Hospital Cardiologists Research Center (ANMCO), Florence 50121, Italy.
Susanna PriceDepartment of Adult Intensive Care, Royal Brompton & Harefield NHS Foundation Trust, Royal Brompton Hospital, National Heart & Lung Institute, Imperial College, London SW3 6NP, UK.
Clive WestonDepartment of Cardiology, Hywel Dda University Health Board, Wales SA6 6NL, UK.
Barbara CasadeiDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford OX3 9DU, UK.ORCID 0000-0002-6801-1617
Chris P GaleLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9JT, UK.ORCID 0000-0003-4732-382X

Funding

British Heart Foundation CH/12/3/29609British Heart Foundation RG/16/12/32451Department of Health
6 · The paper itself

Abstract

aimsIt is increasingly recognized that tools are required for assessing and benchmarking quality of care in order to improve it. The European Society of Cardiology (ESC) is developing a suite of quality indicators (QIs) to evaluate cardiovascular care and support the delivery of evidence-based care. This paper describes the methodology used for their development. METHODS AND

resultsWe propose a four-step process for the development of the ESC QIs. For a specific clinical area with a gap in care delivery, the QI development process includes: (i) the identification of key domains of care by constructing a conceptual framework of care; (ii) the construction of candidate QIs by conducting a systematic review of the literature; (iii) the selection of a final set of QIs by obtaining expert opinions using the modified Delphi method; and (iv) the undertaking of a feasibility assessment by evaluating different ways of defining the QI specifications for the proposed data collection source. For each of the four steps, key methodological areas need to be addressed to inform the implementation process and avoid misinterpretation of the measurement results.

conclusionDetailing the methodology for the ESC QIs construction enables healthcare providers to develop valid and feasible metrics to measure and improve the quality of cardiovascular care. As such, high-quality evidence may be translated into clinical practice and the 'evidence-practice' gap closed.

Indexed as

CardiologyQuality Indicators, Health CareDelivery of Health CareHumansCardiovascular diseaseClinical practice guidelinesQuality improvementQuality indicators

Identifiers

PMID32845314
PMCPMC8727982

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.