LinkedIn

 آمار

تعداد نشریات21
تعداد شماره‌ها1,274
تعداد مقالات11,624
تعداد مشاهده مقاله82,205,998
تعداد دریافت فایل اصل مقاله121,288,640
Zand, Farid, Sabetian, Golnar, Nematollahi, Mohtaram, Saeedizadeh, Hamideh, Salimi, Soha, Farrokhi, Amirmohammad, Banifatemi, Mahsa, Aslami, Fahime, Asmarian, Naeimehossadat. (1405). Quality Assessment of the Iran Intensive Care Unit Registry: A Validation Evaluation Using International Medical Registry Frameworks (2017–2024). سامانه مدیریت نشریات علمی, 51(5), 305-315. doi: 10.30476/ijms.2026.108018.4279
Farid Zand; Golnar Sabetian; Mohtaram Nematollahi; Hamideh Saeedizadeh; Soha Salimi; Amirmohammad Farrokhi; Mahsa Banifatemi; Fahime Aslami; Naeimehossadat Asmarian. "Quality Assessment of the Iran Intensive Care Unit Registry: A Validation Evaluation Using International Medical Registry Frameworks (2017–2024)". سامانه مدیریت نشریات علمی, 51, 5, 1405, 305-315. doi: 10.30476/ijms.2026.108018.4279
Zand, Farid, Sabetian, Golnar, Nematollahi, Mohtaram, Saeedizadeh, Hamideh, Salimi, Soha, Farrokhi, Amirmohammad, Banifatemi, Mahsa, Aslami, Fahime, Asmarian, Naeimehossadat. (1405). 'Quality Assessment of the Iran Intensive Care Unit Registry: A Validation Evaluation Using International Medical Registry Frameworks (2017–2024)', سامانه مدیریت نشریات علمی, 51(5), pp. 305-315. doi: 10.30476/ijms.2026.108018.4279
Zand, Farid, Sabetian, Golnar, Nematollahi, Mohtaram, Saeedizadeh, Hamideh, Salimi, Soha, Farrokhi, Amirmohammad, Banifatemi, Mahsa, Aslami, Fahime, Asmarian, Naeimehossadat. Quality Assessment of the Iran Intensive Care Unit Registry: A Validation Evaluation Using International Medical Registry Frameworks (2017–2024). سامانه مدیریت نشریات علمی, 1405; 51(5): 305-315. doi: 10.30476/ijms.2026.108018.4279

Quality Assessment of the Iran Intensive Care Unit Registry: A Validation Evaluation Using International Medical Registry Frameworks (2017–2024)

Iranian Journal of Medical Sciences
مقاله 2، دوره 51، شماره 5، مرداد 2026، صفحه 305-315    اصل مقاله (1.49 M)
نوع مقاله: Original Article(s)
شناسه دیجیتال (DOI): 10.30476/ijms.2026.108018.4279
نویسندگان
Farid Zand1؛ Golnar Sabetian2؛ Mohtaram Nematollahi3؛ Hamideh Saeedizadeh3؛ Soha Salimi4؛ Amirmohammad Farrokhi4؛ Mahsa Banifatemi3؛ Fahime Aslami3؛ Naeimehossadat Asmarian* 3
1Anesthesiology and Critical Care Research Center, Department of Critical Care Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
2Trauma Research Center, Department of Critical Care Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
3Anesthesiology and Critical Care Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
4Trauma Research Center, Rajaee Critical Care Medicine Department, Shahid Rajaee Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, Iran
چکیده
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.

تازه های تحقیق

Farid Zand (Google Scholar)  
Naeimehossadat Asmarian (Google Scholar) 

کلیدواژه‌ها
Critical care؛ Database؛ Benchmarking؛ Mortality؛ Iran
سایر فایل های مرتبط با مقاله
مراجع
  1. Ervin JN, Kahn JM, Cohen TR, Weingart LR. Teamwork in the intensive care unit. Am Psychol. 2018;73:468-77. doi: 10.1037/amp0000247. PubMed PMID: 29792461; PubMed Central PMCID: PMC6662208.
  2. Pollard TJ, Johnson AEW, Raffa JD, Celi LA, Mark RG, Badawi O. The eICU Collaborative Research Database, a freely available multi-center database for critical care research. Sci Data. 2018;5:180178. doi: 10.1038/sdata.2018.178. PubMed PMID: 30204154; PubMed Central PMCID: PMC6132188.
  3. van de Klundert N, Holman R, Dongelmans DA, de Keizer NF. Data Resource Profile: the Dutch National Intensive Care Evaluation (NICE) Registry of Admissions to Adult Intensive Care Units. Int J Epidemiol. 2015;44:1850-61. doi: 10.1093/ije/dyv291. PubMed PMID: 26613713.
  4. Tolppa T, Pari V, Pell C, Aryal D, Hashmi M, Shamal Ghalib M, et al. Determinants of Implementation of a Critical Care Registry in Asia: Lessons From a Qualitative Study. J Med Internet Res. 2023;25:e41028. doi: 10.2196/41028. PubMed PMID: 36877557; PubMed Central PMCID: PMC10028509.
  5. Hashmi M, Beane A, Taqi A, Memon MI, Athapattu P, Khan Z, et al. Pakistan Registry of Intensive CarE (PRICE): Expanding a lower middle-income, clinician-designed critical care registry in South Asia. J Intensive Care Soc. 2019;20:190-5. doi: 10.1177/1751143718814126. PubMed PMID: 31447910; PubMed Central PMCID: PMC6693123.
  6. Secombe P, Millar J, Litton E, Chavan S, Hensman T, Hart GK, et al. Thirty years of ANZICS CORE: A clinical quality success story. Crit Care Resusc. 2023;25:43-6. doi: 10.1016/j.ccrj.2023.04.009. PubMed PMID: 37876992; PubMed Central PMCID: PMC10581273.
  7. Kruk ME, Gage AD, Arsenault C, Jordan K, Leslie HH, Roder-DeWan S, et al. High-quality health systems in the Sustainable Development Goals era: time for a revolution. Lancet Glob Health. 2018;6:e1196-e252. doi: 10.1016/s2214-109x(18)30386-3. PubMed PMID: 30196093; PubMed Central PMCID: PMC7734391.
  8. Christiansen CF, Møller MH, Nielsen H, Christensen S. The Danish Intensive Care Database. Clin Epidemiol. 2016;8:525-30. doi: 10.2147/clep.s99476. PubMed PMID: 27822095; PubMed Central PMCID: PMC5094592.
  9. Australian Commission on Safety and Quality in Health Care. Australian framework for national clinical quality registries 2024. Sydney: ACSQHC; 2024.
  10. Pisani L, Quintairos A, Salluh JIF. ICU registries: From tracking to fostering better outcomes. J Crit Care. 2024;79:154462. doi: 10.1016/j.jcrc.2023.154462. PubMed PMID: 37981535.
  11. Salluh JIF, Quintairos A, Dongelmans DA, Aryal D, Bagshaw S, Beane A, et al. National ICU Registries as Enablers of Clinical Research and Quality Improvement. Crit Care Med. 2024;52:125-35. doi: 10.1097/ccm.0000000000006050. PubMed PMID: 37698452.
  12. Sultan M, Zewdie A, Priyadarshani D, Hassen E, Tilahun M, Geremew T, et al. Implementing an ICU registry in Ethiopia-Implications for critical care quality improvement. J Crit Care. 2024;81:154525. doi: 10.1016/j.jcrc.2024.154525. PubMed PMID: 38237203; PubMed Central PMCID: PMC10996997.
  13. Black N, Payne M. Directory of clinical databases: improving and promoting their use. Qual Saf Health Care. 2003;12:348-52. doi: 10.1136/qhc.12.5.348. PubMed PMID: 14532366; PubMed Central PMCID: PMC1743755.
  14. Arts DG, De Keizer NF, Scheffer GJ. Defining and improving data quality in medical registries: a literature review, case study, and generic framework. J Am Med Inform Assoc. 2002;9:600-11. doi: 10.1197/jamia.m1087. PubMed PMID: 12386111; PubMed Central PMCID: PMC349377.
  15. Stow PJ, Hart GK, Higlett T, George C, Herkes R, McWilliam D, et al. Development and implementation of a high-quality clinical database: the Australian and New Zealand Intensive Care Society Adult Patient Database. J Crit Care. 2006;21:133-41. doi: 10.1016/j.jcrc.2005.11.010. PubMed PMID: 16769456.
  16. Australian Commission on Safety and Quality in Health Care. Good clinical quality registry practice guide. Canberra: ACSQHC; 2025.
  17. Heavner SF, Kumar VK, Anderson W, Al-Hakim T, Dasher P, Armaignac DL, et al. Critical Data for Critical Care: A Primer on Leveraging Electronic Health Record Data for Research From Society of Critical Care Medicine’s Panel on Data Sharing and Harmonization. Crit Care Explor. 2024;6:e1179. doi: 10.1097/cce.0000000000001179. PubMed PMID: 39559555; PubMed Central PMCID: PMC11573330.
  18. Zajic P, Engelbrecht T, Graf A, Metnitz B, Moreno R, Posch M, et al. Intensive care unit caseload and workload and their association with outcomes in critically unwell patients: a large registry-based cohort analysis. Crit Care. 2024;28:304. doi: 10.1186/s13054-024-05090-z. PubMed PMID: 39277756; PubMed Central PMCID: PMC11401295.
  19. Noteboom SH, Kho E, Galanty M, Sánchez CI, Ten Bookum FCP, Veelo DP, et al. From intensive care monitors to cloud environments: a structured data pipeline for advanced clinical decision support. EBioMedicine. 2025;111:105529. doi: 10.1016/j.ebiom.2024.105529. PubMed PMID: 39731854; PubMed Central PMCID: PMC11743312.
  20. Pisani L, Rashan T, Shamal M, Ghose A, Kumar Tirupakuzhi Vijayaraghavan B, Tripathy S, et al. Performance evaluation of a multinational data platform for critical care in Asia. Wellcome Open Res. 2021;6:251. doi: 10.12688/wellcomeopenres.17122.2. PubMed PMID: 35141427; PubMed Central PMCID: PMC8812332.
  21. Ediboğlu Ö, Moçin Ö Y, Özyılmaz E, Saltürk C, Önalan T, Seydaoğlu G, et al. Current Statement of Intensive Care Units in Turkey: Data obtained from 67 Centers. Turk Thorac J. 2018;19:209-15. doi: 10.5152/TurkThoracJ.2018.170104. PubMed PMID: 30322437; PubMed Central PMCID: PMC6196900.
  22. Hassan IF, Alinier G. The inaugural Qatar Critical Care Conference with its Qatar Medical Journal Special Issue - An important milestone. Qatar Med J. 2019;2019:1. doi: 10.5339/qmj.2019.qccc.1. PubMed PMID: 31763204; PubMed Central PMCID: PMC6851948.
  23. Soares M, Borges LP, Bastos L, Zampieri FG, Miranda GA, Kurtz P, et al. Update on the Epimed Monitor Adult ICU Database: 15 years of its use in national registries, quality improvement initiatives and clinical research. Crit Care Sci. 2024;36:e20240150en. doi: 10.62675/2965-2774.20240150-en. PubMed PMID: 39230140; PubMed Central PMCID: PMC11463981.
  24. Atumanya P, Agaba PK, Mukisa J, Nakibuuka J, Kwizera A, Sendagire C. Characteristics and outcomes of patients admitted to intensive care units in Uganda: a descriptive nationwide multicentre prospective study. Sci Rep. 2024;14:9963. doi: 10.1038/s41598-024-59031-5. PubMed PMID: 38693185; PubMed Central PMCID: PMC11063042.
  25. Litton E, French C, Herschtal A, Stanworth S, Pellicano S, Palermo AM, et al. Iron and erythropoietin to heal and recover after intensive care (ITHRIVE): A pilot randomised clinical trial. Crit Care Resusc. 2023;25:201-6. doi: 10.1016/j.ccrj.2023.10.007. PubMed PMID: 38236513; PubMed Central PMCID: PMC10790015.
  26. Keuskamp D, Davies CE, Secombe PJ, Pilcher DV, Chavan S, Jones SL, et al. Intensive care admissions for adults with treated kidney failure in Australia: A national retrospective cohort study. Crit Care Resusc. 2025;27:100099. doi: 10.1016/j.ccrj.2025.100099. PubMed PMID: 40109289; PubMed Central PMCID: PMC11919582.
  27. Cecconi M, Greco M, Shickel B, Angus DC, Bailey H, Bignami E, et al. Implementing Artificial Intelligence in Critical Care Medicine: a consensus of 22. Crit Care. 2025;29:290. doi: 10.1186/s13054-025-05532-2. PubMed PMID: 40629428; PubMed Central PMCID: PMC12239397.
  28. Moralez GM, Ranzani OT, Quintairos A, Salluh JIF. Understanding ICU Outcomes: Lessons From National ICU Registries. Crit Care Med. 2025;53:e2338-e42. doi: 10.1097/ccm.0000000000006853. PubMed PMID: 40920041.
آمار
تعداد مشاهده مقاله: 73
تعداد دریافت فایل اصل مقاله: 133


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب