Health Management & Information Science

Health Management & Information Science

Investigating and Modeling the significant reasons of Percutaneous Coronary Intervention patients to participate rarely in cardiac rehabilitation - A data mining approach

Document Type : Articles

Authors
Tara Zamir 1
Mohammad Mehdi Sepehri 2
Hassan Aghajani 3
Morteza Khakzar Bafruei 4
Toktam Khatibi 2
1 Faculty of Industrial and Systems Engineering (IT Engineering Group), Tarbiat Modares University, Tehran, Iran.
2 Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran.
3 Department of Cardiology, Tehran University of Medical Sciences, Tehran, Iran.
4 Department of Industrial Engineering, Technology Development Institute (ACECR), Tehran, Iran.
Abstract
Objective: The high prevalence of cardiovascular diseases has caused many health problems in countries. Cardiac Rehabilitation Programs (CRPs) is a complementary therapy for Percutaneous Coronary Intervention (PCI) patients. However, PCI patients hardly attend CRPs. This study aims to decipher the reasons why PCI patients rarely participate in CRPs after PCI.Methods: The parameters affecting the attendance of the patients at CRPs were identified by using the previous studies and opinions of experts. A questionnaire was designed based on the identified parameters and distributed among PCI patients who were referred to Tehran Heart Center Hospital.Results: According to data mining approach, 184 samples were collected and classified with three algorithms (Decision Trees, k-Nearest Neighbor (kNN), and Naïve Bayes). The obtained results by decision trees were superior with the average accuracy of 82%, while kNN and Naïve Bayes obtained 81.2% and 78%, respectively. Results showed that lack of physician’s advice was the most significant reason for non-participation of PCI patients in CRPs (P< .0001). Other factors were family and friends’ encouragement, paying expenses by insurance, awareness of the benefits of the CRPs, and comorbidity, respectively.Conclusion: Results of the best model can enhance the quality of services, promote health and prevent additional costs for patients. Keywords: Cardiovascular Disease, Percutaneous Coronary Intervention, Cardiac Rehabilitation Programs, Data Mining, Classification
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Health Management & Information Science
Volume 6, Issue 2 - Serial Number 2
39
Spring 2019
Pages 56-65