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Comparative Study of Data Elements and Data Analysis Methods in Myocardial Infarction Registry in Selected Countries and Iran

Hamidreza Tadayon, Masoumeh Sadeghi, Sakineh Saghaeiannejad Isfahani, Mahmoud Keyvanara, Monireh Sadeqi Jabali
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Abstract

Introduction: Cardiovascular diseases have high morbidity and mortality rate. Disease registry system is a clinical information system designed and implemented for patient information management and one of the essential steps in its implementation is the analysis of collected data. Since the basis of data collection in each data registry system is data element, this research was conducted to compare data elements and data analysis in myocardial infarction registry system in selected countries and Iran.

Material and Methods: This research was applied in a comparative way. The research community included the registry of myocardial infarction in the United States, Switzerland, Malaysia and Iran. The data collection method was to study the documentation and interview with the registry specialists and analyze the findings was done by drawing comparative tables.

Results: Of the 26 extracted data elements, there were only 16 cases in Iran's registry system. In all registry systems, data elements were defined in the data dictionary in order to unify the definitions. Data analysis was done regularly in all three countries of the United States, Switzerland and Malaysia, but in Iran, data analysis was limited to the number of patients and the distribution of age and sex of patients.

Conclusion: In this study, an overview of the data elements and the method of data analysis in the myocardial infarction registry system was presented that could be used in designing this registry system.

References

World Health Organization. Cardiovascular diseases, key facts. [Internet]. 2017 [cited: 2018 Sept 1]. Available from: http://www.who.int/news-room/factsheets/detail/ cardiovascular-diseases-(cvds).

Chu C-Y, Lin T-H, Lai W-T. The management and prognostic factors of acute coronary syndrome: Evidence from the Taiwan acute coronary syndrome full spectrum registry. Acta Cardiol Sin. 2017; 33(4): 329-38.

Smith JN, Negrelli JM, Manek MB, Hawes EM, Viera AJ. Diagnosis and management of acute coronary syndrome: An evidence-based update. J Am Board Fam Med. 2015; 28(2): 283-93.

Babalis D. Is quality improvement for treatment of acute coronary syndromes worthwhile? Results from the EQUIP-ACS trial. [PhD Thesis]. London: National Heart and Lung Institute, Faculty of Medicine, Imperial College London, 2015.

Beyranvand MR, Kolahi AA, Ghafelebashi SHR. Characteristics and final diagnosis of patients with primary diagnosis of acute coronary syndrome. Journal of Babol University of Medical Sciences. 2008; 10(3): 76-82.

Talaei M, Sarrafzadegan N, Sadeghi M, Oveisgharan S, Marshall T, Thomas GN, Iranipour R. Incidence of cardiovascular diseases in an Iranian population: The Isfahan cohort study. Archives of Iranian Medicine. 2013; 16(3): 138-44.

Rezaei Hachesu P, Oliyaee A, Safaie N, Ferdousi R. Comparison of coronary artery disease guidelines with extracted knowledge from data mining. J Cardiovasc Thorac Res. 2017; 9(2): 95-101.

Bove AA. President's page: Preventing cardiovascular disease is a global effort. J Am Coll Cardiol. 2009; 53(22): 2099-2100.

Gliklich RE, Dreyer NA, Leavy MB. Registries for evaluating patient outcomes: A user’s guide. 3rd ed. Agency for Healthcare Research and Quality (US); Report No.: 13(14)-EHC111: 2014.

Pillay M, Noor Hisham A, Zaki Morad MZ, Lim TO, Jamaiyah H, Jaya Purany SP. Patient registries in Malaysia and the role of the clinical research centre of the ministry of health. Med J Malaysia. 2008; 63(Suppl C): 1-4.

Ministry of Health Malaysia. About NCVD. [Internet]. 2009 [cited: 2017 Oct 4]. Available from: http:/www.acrm.org.my/ncvd/aboutNCVD.htm.

Rezaei Ardani A, Ahmadian L, Kimiyafar K, Rohani F, Ebnehoseini Z. Comparative study of data elements in psychiatric history and assessment forms in selected countries. Journal of Health and Biomedical Informatics. 2016; 3(1): 57-64.

Karimi S, Saghaeiannejad Isfahani S, Farzandipour M, Esmaeili Ghayoumabadi M. Comparative study of minimum data sets of health information management of organ transplantation in selected countries and presenting appropriate solution for Iran. Journal of Health Information Management. 2011; 7(Special Issue): 497-505.

Keyvanara M, Sadeghi M, Saghaeiannejad Isfahani S, Tadayon H. A comparative review of national registry systems of acute coronary syndrome in selected countries. Journal of Health Information Management. 2012; 9(2): 172-179.

Jahanbakhsh M. A comparative study for hospital diabetes registry in selected countries and designing a model for Iran [MSc Thesis]. Tehran: Shahid Beheshti university of medical Sciences, School of Allied Medical Sciences, 2005.

Center for Outcomes Research. GRACE: Initial forms. [Internet]. 2006 [cited: 2017 Jan 5]. Available from: https://www.outcomesumassmed.org/grace/publicfiles/Main_GRACE_CRF.pdf

Gitt AK, Boyle R, Flynn R, Seabra-Gomes R, Hernandez JM, Indolfi C. Cardiology audit and registration data standards for percutaneous coronary intervention (PCI). A report of the CARDS expert committee on percutaneous coronary intervention. [Internet]. 2004 [cited: 2017 Sept 1]. Available from: https://www.escardio.org/static_file/Escardio/EU-affairs/CARDS-dataset-PCI-1104.pdf

Bedi, B.S. National efforts for standardization in health informatics. [Internet]. 2008 [cited: 2016 Jan 14]. Available from: http://medinfo.cdac.in/resourses/events/mig-symp-08/pdf/presentation/Bedi.pdf.


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