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Details

Autor(en) / Beteiligte
Titel
National ICU Registries as Enablers of Clinical Research and Quality Improvement
Ist Teil von
  • Critical care medicine, 2024-01, Vol.52 (1), p.125-135
Ort / Verlag
United States
Erscheinungsjahr
2024
Quelle
MEDLINE
Beschreibungen/Notizen
  • Clinical quality registries (CQRs) have been implemented worldwide by several medical specialties aiming to generate a better characterization of epidemiology, treatments, and outcomes of patients. National ICU registries were created almost 3 decades ago to improve the understanding of case-mix, resource use, and outcomes of critically ill patients. This narrative review describes the challenges, proposed solutions, and evidence generated by National ICU registries as facilitators for research and quality improvement. English language articles were identified in PubMed using phrases related to ICU registries, CQRs, outcomes, and case-mix. Original research, review articles, letters, and commentaries, were considered. Data from relevant literature were identified, reviewed, and integrated into a concise narrative review. CQRs have been implemented worldwide by several medical specialties aiming to generate a better characterization of epidemiology, treatments, and outcomes of patients. National ICU registries were created almost 3 decades ago to improve the understanding of case-mix, resource use, and outcomes of critically ill patients. The initial experience in European countries and in Oceania ensured that through locally generated data, ICUs could assess their performances by using risk-adjusted measures and compare their results through fair and validated benchmarking metrics with other ICUs contributing to the CQR. The accomplishment of these initiatives, coupled with the increasing adoption of information technology, resulted in a broad geographic expansion of CQRs as well as their use in quality improvement studies, clinical trials as well as international comparisons, and benchmarking for ICUs. ICU registries have provided increased knowledge of case-mix and outcomes of ICU patients based on real-world data and contributed to improve care delivery through quality improvement initiatives and trials. Recent increases in adoption of new technologies (i.e., cloud-based structures, artificial intelligence, machine learning) will ensure a broader and better use of data for epidemiology, healthcare policies, quality improvement, and clinical trials.
Sprache
Englisch
Identifikatoren
ISSN: 0090-3493
eISSN: 1530-0293
DOI: 10.1097/CCM.0000000000006050
Titel-ID: cdi_pubmed_primary_37698452

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