Patients’ Cardiac Self-Efficacy After Coronary Artery Angioplasty


Arsalan Salari 1 , Leila Rouhi Balasi 2 , * , Fatemeh Moaddab 2 , Fatemeh Zaersabet 2 , Azam Nouri Saeed 3 , Samaneh Habib Nejad 1

1 Department of Cardiology, Guilan Interventional Cardiovascular Research Center, Heshmat Hospital, Guilan University of Medical Sciences, Rasht, IR Iran

2 Department of Medical Surgical Nursing, Guilan Interventional Cardiovascular Research Center, Heshmat Hospital, Guilan University of Medical Sciences, Rasht, IR Iran

3 Department of Psychology, Islamic Azad University, Rasht, IR Iran

How to Cite: Salari A, Rouhi Balasi L, Moaddab F, Zaersabet F, Nouri Saeed A, et al. Patients’ Cardiac Self-Efficacy After Coronary Artery Angioplasty, Jundishapur J Chronic Dis Care. 2016 ; 5(2):e60308. doi: 10.17795/jjcdc-37251.


Jundishapur Journal of Chronic Disease Care: 5 (2); e60308
Published Online: April 26, 2016
Article Type: Research Article
Received: February 19, 2016
Revised: March 5, 2016
Accepted: March 15, 2016




Background: The patients undergoing coronary artery angioplasty should be motivated to adhere to lifestyle modifications. One of the factors affecting this issue is cardiac self-efficacy. Cardiac self-efficacy motivates individuals to select a lifestyle related to their cardiovascular diseases through creating the desire to adjust with such behaviors.

Objectives: The current research aimed to determine the cardiac self-efficacy predictors after coronary artery angioplasty.

Patients and Methods: In this cross-sectional study, 193 patients undergoing coronary artery angioplasty in Dr. Heshmat educational therapeutic center were selected through convenience sampling. The data were collected by a questionnaire consisted of two sections, including socio-demographic factors and cardiac self-efficacy after oral consent of the subjects. Then data were analyzed via descriptive (frequency distribution, mean and standard deviation) and inferential statistics (Pearson, ANOVA and independent t-test). To define cardiac self-efficacy predictors, multi-linear regression model was applied.

Results: Based on the obtained results, the mean age of subjects was 58.35 ± 9.97 years, the majority were male (60.6%) and the underlying diseases history (57.5%) and the mean time interval between repeated angioplasty was 17.48 ± 25.2 months. Also the mean score of cardiac self-efficacy among these patients was 8.43 ± 4.5. Also, based on the results of the statistical tests, there was a significant relationship between age (P < 0.001), gender (P = 0.024), education (P < 0.0001), hypertension history (P = 0.006), living conditions (P = 0.03), job (P = 0.001) and monthly income (P = 0.003) with cardiac self-efficacy. As the multi-linear regression test results suggested, age was the only cardiac self-efficacy predictor.

Conclusions: The current study results implied low cardiac self-efficacy score in the study units; then it is recommended to consider care plans to improve the cardiac self-efficacy.


Coronary Artery Disease Self-Efficacy Angioplasty Patients

Copyright © 2016, Ahvaz Jundishapur University of Medical Sciences. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License ( which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited.

1. Background

Cardiovascular diseases are identified as one of the most significant causes of death. Also, the prevalence of cardiovascular diseases in Iran is seriously increasing. Therefore in Iran, 39.9% of deaths are due to these diseases that can be considered as the main cause of death (1), among which coronary artery disease (CAD) is the most important one (2); hence, around 17 million people have the disease (1). Some CAD treatment methods are coronary artery bypass surgery (CABG) and coronary angioplasty (2). Cardiac catheterization and percutaneous coronary intervention (PCI) are the common invasive methods to diagnose and treat cardiac diseases and CAD (3, 4). These methods are successful in minimizing heart damage, limiting heart failure extent and decreasing coronary artery disease induced deaths (3). Generally, the patients undergoing PCI underestimate their CAD and have the wrong belief that during this short period of hospitalization and quick method, they are completely treated (4).

Not observing the recommended instructions is identified as a cause behind unfavorable outcomes and increased health care costs; especially the subjects with cardiovascular diseases acknowledge that (5). Many patients do not observe the recommended lifestyle changes (6). Thus, those with CAD are in need of boosting their empowerment skills in order to effectively control their symptoms and prevent the disease induced complications. One way to raise the individual’s capability is to build up their self-efficacy (7).

Bandura defines self-efficacy as the person's beliefs in his capabilities to succeed in special situations (1, 6, 8, 9). This theory suggests that the individuals’ beliefs about their capabilities predict their behavioral performance (1, 10). In fact, an individual’s self-efficacy level determines his thinking, feeling, behavior and motivation (11). Therefore, if the patients do not believe their capabilities to improve their health condition through changing behavior and drug taking for all their life time, it is not possible to achieve this goal (12). Self-efficacy stabilizes the condition of patients and helps them to effectively cope with stress and CAD induced stress (1). Generally speaking, working on promoting self-efficacy and empowering them is important in self-care regimen follow-up through self-efficacy promotion (13). It is depicted that self-efficacy affects health and health-related outcomes based on the behaviors in treating the patients with chronic diseases and is considered as one of the most significant predictors of behavioral modifications in the patients (4, 14, 15). On the other hand, self-efficacy is directly associated with healthy behaviors and indirectly influences healthy behaviors to achieve the goals, the challenges the individuals are facing and perseverance, commitment and effort to reach the goal (16).

Cardiac self-efficacy is indeed an exclusive cardiac scale about an individual’s belief about his capabilities to do the activities related to CAD symptoms and challenges (1, 14, 17). Cardiac self-efficacy motivates the individuals to select a lifestyle about their cardiovascular disease via creating enthusiasm to adjust with such behaviors (14). The studies indicated that the individuals with high self-confidence actively participate in health promoting health plans (4, 16). Therefore, low self-efficacy with low self-esteem is pessimistic thinking about oneself and lack of decent performance. High self-efficacy is associated with active coping strategies, searching social support and problem solving (optimism) (18).

It should be mentioned that the role of self-efficacy is proved at the beginning and maintaining health behaviors and observing treatment in other chronic diseases such as type 2 diabetes (19). Self-efficacy is a critical factor influencing management of risk factors in the primary and secondary cardiovascular disease prevention. Virtually, in the individuals with higher self-efficacy, it is more probable to cooperate for risk reducing behaviors and following designed treatment interventions to lower cardiac disease risk factors (2, 20). It seems that determining the cardiac self-efficacy predictors can help the medical staff to identify the patients’ self-efficacy promoting factors in order to take measures to boost health behaviors, self-management and as a result improve life quality.

2. Objectives

The current research aimed to determine the cardiac self-efficacy predictors after coronary artery angioplasty.

3. Patients and Methods

3.1. Research Environment and Patients

The population of this cross-sectional study included the patients undergoing coronary artery angioplasty in Dr. Heshmat medical-educational hospital in Rasht, Iran, in 2015. Based on the results of the study by Kang et al. (20) and confidence level of 95% the sample size of the study was defined 193 patients, selected by the convenient sampling method out of the people who had angioplasty at least six months ago referring to the Dr. Heshmat specialized clinic. The inclusion criteria were lack of psychological and mental diseases based on the patient’s record and asking the patient about the history of taking anti-psychotic drugs, doing angioplasty for the first time and at least six months passing it and patients were excluded if they did not have the inclusion criteria (Equation 1).


3.2. Questionnaire

Data collection was conducted through interview based on a questionnaire. The study questionnaire consisted of two sections including socio-demographic variables and cardiac self-efficacy scale. In the current research, in order to determine cardiac self-efficacy, Sullivan 5-item cardiac self-efficacy scale was applied, where each answer is assigned 5 scores based on the Likert scale and finally, self-efficacy scores from 0 to 20 and higher scores imply better self-efficacy to maintain performance (21). To validate this scale, the professionals in the field were polled and the results in all expressions suggested that CVR and CVI were over 75%. To establish the tool reliability, test re-test results showed the correlation between the two steps 92%, denoting the tool expressions reliability.

3.3. Ethical Considerations

Before data gathering, the ethics committee of Guilan University of Medical Science (proposal code: 93100813) approved the study. Also, data collection was conducted after explaining the research objective to the patients and obtaining their oral consent.

3.4. Statistical Analysis

The collected data were analyzed using descriptive statistics (frequency distribution, mean and standard deviation) and inferential statistics (Pearson, ANOVA and independent t-test) after determining normal distribution of variables by Kolmogorov Smirnov test by SPSS ver. 16. Pearson test was employed to determine the relationship between the two quantitative variables. ANOVA was used to compare the mean score of cardiac self-efficacy in three or more groups and independent t-test to compare the scores in the two groups. Also P < 0.05 was considered significant. Then to determine self-efficacy predictors, multi-linear regression model was used.

4. Results

The current study results showed that the mean age of the subjects was 58.35 ± 9.97 years. The majority of the subjects were male (60.6%), married (92.2%), illiterate (45.6%) and housewives (35.2%). The majority had hypertension (56.9%) and the underlying diseases history (57.5%), but no diabetes (92.7%). The mean time interval between repeated angioplasty was 17.48 ± 25.2 months.

The research results displayed that the mean score of cardiac self-efficacy in the patients was 8.43 ± 4.5. In addition, the statistical results showed a significant relationship between age (P < 0.0001), gender (P = 0.024), patient education level (P < 0.0001), hypertension history (P = 0.006), life conditions (P = 0.03), job (P = 0.001) and cardiac self-efficacy. But there was no significant relationship between marital status, family history of CAD, the underlying diseases history, coronary artery disease duration, and cardiac self-efficacy.

The multi-linear regression test results suggested that age was the only cardiac self-efficacy predictor. Therefore, younger age can be a better cardiac self-efficacy predictor (Table 1).

Table 1. Regression Coefficient Factors Associated With Cardiac-Efficacy Score Based on Multi-Linear Regression
Predictor variableΒSEaPEXP(β)95.0% C.I. for EXP (B)
Patients’ level of education0.5280.6470.4180.1140.7701.826
Hypertension history1.1131.2010.3580.1101.2973.523
Life conditions0.5291.1300.6420.0592.7971.740
Job 0.2080.4120.6150.0720.6191.035

aSE, standard error.

5. Discussion

The current study results indicated that the patients undergoing coronary artery angioplasty had low cardiac self-efficacy score. The research by Boroumand et al. (22) titled “analyzing self-efficacy and its related factors in patients with ischemic heart disease” showed that the majority of the patients had high self-efficacy and the study by Jalilian et al. (18) aimed to analyze the general self-efficacy and the perceived social support influencing the life quality of patients with cardiovascular disease showed that units had average self-efficacy. The reason behind these inconsistent findings can be the difference of the tools applied in the studies. Therefore, regarding several studies indicating a significant relationship between self-efficacy and health promoting behaviors such as diet, exercise, pharmaceutical compliance, quitting alcohol and smoking and weight control, it seems essential to take some measures to enhance self-efficacy in such patients because it facilitates the keen feeling of competency, cognitive process and health behaviors (4). On the other hand, empowering the person with coronary artery problem for self-care can prevent the disease complications and /or delay its outbreak (7).

The multi-linear regression results only depicted age as a cardiac self-efficacy predictor. Therefore, the findings revealed a significant statistical and reverse relationship between age and cardiac self-efficacy. This finding was in line with that of the study by Saveh et al. (23) aimed to discover self-efficacy status among patients with heart failure in Kurdistan province of Iran and also its related factors and how it was associated with self-care in the patients. The current research demonstrated that self-efficacy in younger age was higher and gradually by getting older, this level lowered. Of course, the results of the study by Paryad et al. (7), analyzing the self-efficacy of patients with coronary artery and its predictors and the research by Jeans titled “describing self-efficacy role, determining the role of self-efficacy, goal setting behaviors, health related quality of life, psychosocial factors and health care utilization in post-inpatient rehabilitation cardiac patients” (2), also stated this finding. While in the study by Parkinson et al. (11), titled “cardiac rehabilitation outcome psychosocial factors predictors”, no significant relationship was found between age and cardiac self-efficacy. It seems that by getting older, besides reduced physical capabilities, self-efficacy drops in the patients with ischemia; in addition, age increase is a factor that affects getting other chronic diseases and this issue influences lowered confidence compared with the disease personal control (22).

The limitations of the study included small sample size, non-random sampling method and the use of self-reported method for data gathering.

Unfortunately, the current study results indicated low cardiac self-efficacy score in the study units suggesting the requirement of the interventions to improve self-efficacy, since self-efficacy was a critical behavior predictor and acted as an independent part of individuals’ basic skills (24) and it can play an important role in the individuals’ health promotion and disease complications prevention and symptoms recurrence. Thus by training self-efficacy skills and self-control of internal-external stresses, it is possible to pave the ground for raising the general health and life quality of patients with cardiovascular disease (16).




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