Quality Assessment of the Iran Intensive Care Unit Registry: A Validation Evaluation Using International Medical Registry Frameworks (2017-2024).
Background: The Iran intensive care unit registry (IICUR) was established to systematically collect high-quality clinical data from critically ill adult patients nationwide. This registry was created to fill a major gap in Iran by providing the first coordinated national intensive care unit (ICU) da...
| Publicado en: | Iranian Journal of Medical Sciences Vol. 51; no. 5; pp. 305 - 316 |
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| Autores principales: | , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Shiraz University of Medical Sciences
May2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=194404490&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 194404490 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02530716 8TQH jtl: Iranian Journal of Medical Sciences issn: 02530716 maglogo: N pubinfo: dt: May2026 vid: 51 iid: 5 pid: 65846 pub: Shiraz University of Medical Sciences place: Shiraz, <Blank> artinfo: ui: 194404490 194404490 194404490 10.30476/ijms.2026.108018.4279 194404490 ppf: 305 ppct: 11 formats: tig: atl: Quality Assessment of the Iran Intensive Care Unit Registry: A Validation Evaluation Using International Medical Registry Frameworks (2017-2024). aug: au: Zand, Farid Sabetian, Golnar Nematollahi, Mohtaram Saeedizadeh, Hamideh Salimi, Soha Farrokhi, Amirmohammad Banifatemi, Mahsa Aslami, Fahime Asmarian, Naeimehossadat affil: Anesthesiology and Critical Care Research Center, Department of Critical Care Medicine, Shiraz University of Medical Sciences, Shiraz, Iran sug: subj: Intensive Care Units Iran Resource Databases, Health Database Quality Evaluation Data Quality Evaluation Conceptual Framework Human Iran Funding Source Validation Studies Critically Ill Patients Inpatients Descriptive Statistics Hospital Mortality After Care Critical Care Benchmarking Data Analysis Software Adult Middle Age Aged Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years ab: Background: The Iran intensive care unit registry (IICUR) was established to systematically collect high-quality clinical data from critically ill adult patients nationwide. This registry was created to fill a major gap in Iran by providing the first coordinated national intensive care unit (ICU) data system to support benchmarking, quality improvement, and research. This study aimed to assess the registry's data quality, representativeness, and performance using internationally recognized evaluation frameworks. Methods: This validation study included consecutive adult ICU admissions (aged≥16 years) recorded in the IICUR between October 2017 and October 2024 across 39 ICUs in 16 hospitals from various regions of Iran. Data quality was assessed based on the directory of clinical databases (DoCDat) and Arts et al., frameworks. Evaluated domains included case representativeness, variable completeness, data validation processes, and coding reliability. Statistical analyses were performed using SPSS software (version 24). Results: Overall, 34,550 ICU admissions were registered (36% surgical, 64% medical). The patient's mean age was 49.4 years, with an average ICU stay of 6.7 days. The registry achieved a median DoCDat score of 3.0 (on a 1-4 scale), indicating strong national coverage, standardized data definitions, and high recruitment completeness. Trauma, neurological, and respiratory disorders were the most common admission causes. ICU and hospital mortality rates were 13.8% and 16.4%, respectively. Despite its strengths, enhanced data validation and post-discharge follow-up were required. Conclusion: The IICUR demonstrated high methodological standards, providing a robust national platform for benchmarking, policy development, and critical care research in Iran. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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