1. Designing the Coronary Artery Disease Registry with Data Management Processes Approach: A Comparative Systematic Review in Selected Registries.
- Author
-
Garavand, Ali, Emami, Hassan, Rabiei, Reza, Pishgahi, Mehdi, and Vahidi-Asl, Mojtaba
- Subjects
CORONARY heart disease risk factors ,CORONARY heart disease treatment ,COMPARATIVE studies ,CORONARY disease ,DATABASE management ,CLINICAL pathology ,REPORTING of diseases ,ELECTROCARDIOGRAPHY ,HEALTH status indicators ,PATIENT aftercare ,POPULATION geography ,RISK assessment ,OPERATIVE surgery ,VITAL signs ,SYSTEMATIC reviews ,SEARCH engines ,DISCHARGE planning ,ELECTRONIC health records - Abstract
Context: The use of registries to Coronary Artery Disease (CAD) data management plays an important role in the improvement of healthcare processes and reduction of outcomes for patients and healthcare providers. The present study aimed to compare the data management processes of CAD registries in the selected countries. Evidence Acquisition: This review study was conducted comparatively in 2019. After selecting countries based on some criteria, the required data were collected by searching valid databases, more useful search engines, and related websites to CAD registries for the selected countries as well as by sending E-mails containing a data extraction form to the related organizations. Results: Totally, five registries were chosen in the selected countries as follows: CADOSA (Australia), APPROACH (Canada), START (Italy), CLARIFY (Spain), and GWTG-CAD (US). The results showed that 60% of the selected registries made use of the electronic case report form for data gathering. The main data elements included demographic and general information, risk factors, vital sings, medication, laboratory tests results, examination results, ECG results, invasive measures and interventions, patient's status on discharge, results of follow-ups, and post-discharge outcomes. Conclusion: Developing CAD registries based on the data management principles provides the context to conduct cohort studies with very low costs. With regard to the study results, attention should be paid to data management processes, include data gathering, data processing, and information distribution, in development of CAD registries. [ABSTRACT FROM AUTHOR]
- Published
- 2020