The Association Between Self Efficacy, Perceived Social Support and Adherence to Treatment in Patients with Heart Failure

AUTHORS

Sepideh Djafari Naeini 1 , * , Narges Sadat Razavi 1 , Maziar Taheri 1 , Amir Reza Ehsani 2 , Hooman Bakhshandeh 1 , Ali Ansari Far 1 , Ahmad Amin 1 , Sepideh Taghavi 1 , Nasim Naderi 1

1 Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran

2 Iran University of Medical Sciences, Tehran, Iran

How to Cite: Djafari Naeini S, Razavi N S, Taheri M, Ehsani A R , Bakhshandeh H, et al. The Association Between Self Efficacy, Perceived Social Support and Adherence to Treatment in Patients with Heart Failure, Multidiscip Cardio Annal. Online ahead of Print ; 11(1):e98118. doi: 10.5812/mca.98118.

ARTICLE INFORMATION

Multidisciplinary Cardiovascular Annals: 11 (1); e98118
Published Online: December 24, 2019
Article Type: Research Article
Received: September 15, 2019
Revised: October 21, 2019
Accepted: November 3, 2019
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Abstract

Background: Poor adherence to treatment in heart failure patients is associated with frequent hospital readmissions, worsening of symptoms and premature death. Since the progression of heart failure is also affected by the psychological and social aspects of life, identifying psychosocial variables associated with health-promoting behaviors in these patients is essential.

Objectives: The aim of this study was to investigate the relationship between cardiac self-efficacy, perceived social support (PSS) and adherence to treatment in patients with heart failure reduced ejection fraction (HFrEF).

Methods: Among patients referred to the outpatient heart failure clinic at Rajaie Cardiovascular, Medical and Research Center, a total of 120 patients with a diagnosis of HFrEF (left ventricular ejection fraction ≤ 35%), were consecutively enrolled. They were asked to complete demographic, cardiac self-efficacy, perceived social support (PSS) and adherence to treatment questionnaires.

Results: A total of 120 heart failure patients (70% male, 67% with ischemic etiology) were enrolled. Most patients were between 40 - 59 years old. The mean (SD) score of cardiac self-efficacy was 30.6 (2.4), which shows a fair self-efficacy in our study population. The mean (SD) score for PSS was 94.6 (10) which showed more than 75% of heart failure patients have enjoyed high levels of PSS. The mean (SD) scores for the three domains of adherence to treatment were 7.4 (1.5) for diet, 13.2 (2) for physical activity and 10 (1.4) for medications which shows a poor adherence to the diet. Both PSS and adherence to treatment were significantly correlated with NYHA function class. Multivariable logistic regression indicated that cardiac self-efficacy might be a better independent predictor of treatment adherence than PSS in patients with HFrEF.

Conclusions: According to the analyzed data of this study, social support, treatment adherence and self-efficacy among all patients with HFrEF were in acceptable levels. However, both patients and their care givers should be more educated in this regard.

Keywords

Self- Efficacy Perceived Social Support Treatment Adherence Heart Failure

Copyright © 2019, Multidisciplinary Cardiovascular Annals. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited.

1. Background

Heart failure as an epidemic disease, with different etiologies and wide variety of symptoms finally leads to high rate of mortality and morbidity which is increasing in spite of development of new therapeutic options due to longer survival and ageing of population in recent years (1). Its prevalence in Asia pacific area is between 1.26% - 6.7% and affected patients are younger and more symptomatic (1).

Heart failure has poor prognosis such as many cancers or even worse (2). Psychosocial factors have prognostic importance in the management of heart failure patients (3). Self- management had been a pivotal component of adherence to treatment and can reduce heart failure mortality (4) and morbidity (5) according to different studies.

A known important factor in patient compliance and prognosis is self-efficacy and perceived social support (PSS) which plays an effective role in patient-care giver interactions and has a positive effect on patient activity and taking medications (6). Cardiac self-efficacy is defined as a person’s belief in her/his ability to manage the challenges posed by a cardiac disease. A systematic review in 2014 in Iran revealed that interventional programs can improve the level of self-efficacy and can also affect the patient activity (7). It made the idea of the importance of determining the level of self-efficacy in order to improve patients’ health status with appropriate interventional programs. Self-efficacy was not in an acceptable level in heart failure patients evaluated in Sanandaj (8). Another study in Isfahan in 2018, expressed that there is a strong relationship between the quality of life and self-efficacy in these patients (9).

Some studies show unacceptable rate of treatment compliance in HF patients which leads to higher mortality and rehospitalization (10, 11). It is estimated that hospitalization in 2/3 of HF patients might be prevented by increasing patient compliance (12). Patients’ compliance is affected by self-efficacy which can predict better treatment outcome in patients’ suffering from chronic diseases regardless of the severity of disease or disability (10).

Perceived social support (PSS) is another factor that can improve the quality of life in heart failure patients. There is also a correlation between social support with self-care (13), level of stress, adherence to treatment (14), rehospitalization and mortality rate (15). PSS is defined as the patient’s cognition toward available support, high quality assessment of his disease and the quality of this assessment in emergent situations (16). It could also be defined as a guaranteed potential life support and cooperation for the patient’s therapy during disabled time. Supporting health care team and relatives can help patients and motivate them to react to their diseases in a very different way (17).

2. Objectives

The aim of this study is to evaluate the level of self-efficacy, PSS and patient adherence to treatment in a selected group of patients with HFrEF. According to our knowledge, limited similar studies have been conducted in our country which can be influenced by different regional cultures (18, 19). Results of this study can help patients, caregivers and physicians to make a sense for improvement of psychosocial support for heart failure patients. Appropriate interventions in patients with low levels of self-efficacy and PSS and adherence to treatment could have a positive impact on treatment outcomes and reduce morbidity and even mortality rate of heart failure.

3. Methods

3.1. Patients’ Selection

Between October - December 2014 among patients referred to heart failure clinic at Rajaie Cardiovascular, Medical and Research Center, a total of 120 patients were consecutively enrolled by convenient sampling according to the following inclusion criteria:

Definite heart failure with reduced left ventricular ejection fraction (LVEF ≤ 35%) with any etiology (ischemic or non-ischemic) diagnosed by expert heart failure cardiologist according to the international heart failure guidelines who were on guideline directed medical therapies, the age of 18 years or more, New York Heart Association function class (NYHA FC) 1 - 3, ability to read, write and speak and not having mental, neurological and cognitive disorders.

The study was approved by the Ethics Committee of Rajaie Cardiovascular Medical and Research Center and informed consent was given to all study population.

3.2. Research Tools

Four different questionnaires were explained for patients:

3.2.1. Demographic Characteristics Questionnaire

It designed by the study investigators (including some questions which are explained in Table 1).

Table 1. Demographic, Clinical Findings and Past Medical History of Study Population (N = 120)a
VariableValue
Sex, male84 (70)
Age50 ± 10
Marital status, married98(82)
LVEF20 [10 - 30]
Education status
Primary school69 (57.5)
High school22 (18.5)
Academic education29 (24)
NYHA class
I4 (3.3)
I - II, II31 (25.8)
II - III, III76 (63.3)
III - IV9 (7.5)
Heart failure etiology
Ischemic80 (67)
Non-Ischemic40 (33)
Diabetes mellitus36 (30)
Hypertension28 (23.3)
Chronic lung disease9 (7.5)
Chronic kidney disease13 (10.8)
Drug history
ACEI/ARB84 (70)
Beta blocker91 (75)
Diuretics94 (78.3)
MRA77 (64.2)
Digoxin46 (38.3)
Aspirin/Clopidogrel81 (67)
Warfarin35 (29.2)

Abbreviations: ACEI, angiotensin converting enzyme inhibitors; ARB, angiotensin receptor blocker; LVEF, left ventricular ejection fraction; MRA, mineralocorticoid receptor blocker; NYHA, New York Heart Association.

aValues are expressed as mean ± SD, No. (%), or median [IQR].

3.2.2. Self-Efficacy Questionnaire

This questionnaire has been designed by Bajelani et al. (13) to measure cardiac self-efficacy in patients with cardiovascular diseases in Iran. Its reliability was reported using Cronbach’s alpha coefficient for a total scale from 0.84. This questionnaire has 10 questions, in which patients were asked to rate how confident they are that they know or can ... on a five-point Likert scale (1 = not at all, 2 = somewhat confident, 3 = moderately confident, 4 = very confident, 5 = completely confident). Total score would be between 10 to 50 based on patients' answers. The higher score they take, the more efficacy is expected.

3.2.3. Perceived Social Support (PSS) Questionnaire

This questionnaire was comprised of 30 questions in 3 domains [emotional (questions 1 to 12), informational (questions 13 to 20) and positive social interaction (questions 21 to 30)], graded based on a 4-point Likert scale. (1 = never, 2 = sometimes, 3 = often,4 = always). This questionnaire has been designed by Cheraghi and Davari Dolatabadi (20). Its reliability was reported using Cronbach’s alpha coefficient for a total scale from 0.87 and test-retest consistency was from 0.895.

Emotional questions is related to patients’ feelings about the people around them and their support. Informative questions discuss about the information that patients receives from family and caregivers about the disease and finally positive social interactions ask about any kind of financial support (from family, friends or support organizations) or if the patient needs help for his/her activities.

The patients are categorized into 3 categories for PSS, based on their achieving score as low, median and high. The scores between 30 - 59, 60 - 89 and 90 - 120 show low, median and high PSS, respectively

3.2.4. Adherence to Treatment Questionnaires

This questionnaire was designed by Thomas in 2004 (21) and the validity and reliability of its Farsi version has been determined by Ahrari et al. (22) (Cronbach’s alpha coefficient for the overall questionnaire was 0.76).

The questionnaire consists of three domains for adherence: adherence to the diet (questions 1 to 4), adherence to the physical activity (questions 5 to 8), and adherence to the medications (questions 9 to 12). Questions 5, 6, 7, 8, and 12 of this questionnaire are rated on a 4-point Likert scale from never (1 point) to ever (4 points). Questions 1, 2, 4, 9, and 11 are rated from never (4 points) to ever (1 point). These questions are recoded statistically and higher scores indicate better adherence.

3.3. Statistical Analysis

SPSS 20 (IBM Corp, Armonk, NY, USA) was used for all statistical analyses. All data were initially analyzed using the Kolmogorov-Smirnov test to assess normal distribution. Quantitative variables were presented as means (standard deviation [SD]) and categorical variables as counts and percentages. The chi-square test, Fisher’s exact test, or the Mann-Whitney tests, Kruskal-Wallis, Spearman correlation coefficient (CC) were used to compare variables or find their correlation. Multivariate binary logistic regression analyses were used for multivariable analyses and determination independent predictors of treatment adherence. The values of P < 0.05 was considered significant.

4. Results

A total of 120 patients with chronic heart failure were enrolled according to the inclusion criteria. The mean (SD) of age was 50 (± 10) years. Most patients were male, between 40 - 59 years old. The median (IQR) of LVEF was 20 (10 - 30) and most of them had a NYHA FC III. Table 1 shows demographic, clinical findings and past medical history of study population.

4.1. Cardiac Self-Efficacy

In this study the mean (SD) score of cardiac self-efficacy was 30.6 (± 2.4), between 23 and 36, which shows a fair self-efficacy in our study population.

4.2. Perceived Social Support (PSS)

The mean (SD) score for PSS was 94.6 (± 10), between 53 - 115, which shows a high social support in our study population. Among the different dimensions of PSS, the emotional domain showed better score than the two other domains (informational and positive social interaction).

The mean (SD) scores for emotional, informational and positive social interaction were 35 (± 4), 27 (± 3), and 26 (± 4) respectively.

4.3. Adherence to Treatment

The mean (SD) score for adherence to treatment in our study population was 33.2 (± 4.8), between 17 and 147. The mean (SD) scores for the three domains of adherence to treatment were 7.4 (± 1.5) for diet, 13.2 (± 2) for physical activity and 10 (± 1.4) for medications which shows a poor adherence to the diet in our study population.

4.4. Relationship Between Study Variables

There was no relationship between sex, marital status, educational status, LVEF, functional capacity, presence of comorbidities including diabetes mellitus (DM), hypertension (HTN), chronic lung disease (CLD), chronic kidney disease (CKD) and cardiac self-efficacy (All P > 0.05, between 0.06 - 0.94).

PSS was significantly correlated with marital status (P = 0.001) and NYHA FC (P = 0.001) (lower PSS in single persons with higher NYHA function class).

Adherence to treatment was significantly correlated with NYHA FC (P = 0.02) and presence of HTN (P = 0.05) (lower adherence in hypertensive patients with higher NYHA FC).

4.5. Relationship Between Adherence to Treatment, Cardiac Self-Efficacy and PSS

There was no statistically significant correlation between adherence to treatment and PSS (Spearman’s correlation coefficient (CC) = 0.15, P = 0.1). However, a weak but significant correlation was noticed between adherence to treatment and informational domain of PSS (Spearman’s CC = 0.18, P = 0.04).

Also PSS was not statistically correlated with cardiac self-efficacy (Spearman’s CC = 0.17, P = 0.06).

However, there was a weak but significant correlation between cardiac self-efficacy and adherence to treatment (Spearman’s CC = 0.22, P = 0.01) which was because of a modest but significant correlation between the domain of physical activity and cardiac self-efficacy (Spearman’s CC = 0.35, P = 0.001).

4.6. Independent Predictors of Adherence to Treatment

The multivariate binary logistic regression analysis showed that cardiac self-efficacy may be more important independent predictor for adherence to treatment than PSS. The odd ratio (95% confidence interval) = 0.16 (0.02 - 1.3), P = 0.05 for cardiac self-efficacy versus odd ratio (95% CI) = 0.1 (0.01 - 1.1), P = 0.1.

5. Discussion

Our study implies that that psychosocial aspects of life should be considered in the management of patients with heart failure and they also affect the adherence to treatment.

Social support helps patients to follow their treatment schedule better including diet, medication use and regular exercise and have more compliance (23). Eventually higher level of social support can improve their self-confidence and decrease the amount of negative pressure and anxiety and ameliorate treatment outcomes in chronic diseases such as stroke (24). In 2017 Patel et al. could demonstrate the inverse association of self-efficacy and depression in heart failure patients (25). Comparing to their study, our investigation revealed negative relation of NYHA FC (which can be a marker of disease severity and advanced heart failure) and self-efficacy which can be affected by disability and psychologic problems in advanced heart failure and is comparable to findings of Cheraghi et al.’s study (19). Poor compliance of hypertensive patients could be due to more complicated treatments and higher rates of medications prescribed for these patients.

In this study 77.5% of our study population had high social support. However, only informational domain of social support was significantly correlated with adherence. On the other hand, we could find a relatively good relationship between adherence and cardiac self-efficacy in both univariate and multi variate analyses specially in the following exercise programs.

Chen et al. proved that self-efficacy has substantial effect on compliance of patients with heart failure. It means that patients with higher level of self-efficacy actively participate in treatment strategies (26) and they believe that they can overcome the disease. Patients would follow the diet and other useful programs effectively if they have positive attitudes about themselves and treatment modalities (23).

In 2001, Bennete et al. (27) demonstrated moderate to high levels of social support in heart failure patients which is compatible with our study. Alizadeh et al. (28) showed strong emotional support in patients with heart failure. In addition Cheraghi et al. (19) denoted that in spite of high levels of emotional support, heart failure patients are affected by low informational perceived social support. Similar findings are obtained in our investigation.

We could define the more prominent role of self-efficacy in contrast to PSS in patient compliance and treatment follow up which is indicative of pivotal role of patient attitudes and desires in adherence to treatment strategies.

Maeda et al. (10) showed a significant correlation between the rate of social support and compliance; the higher the social support the more compliance could be expected among all patients with chronic disease such as heart failure and our study demonstrated similar results with more than %50 compliance in exercise but lower in diet.

5.1. Conclusions

Social support, adherence and self-efficacy among all patients with HFrEF were in acceptable levels in this study. However, both patients and care givers should be more educated in this regard. Understanding the influence of self-efficacy and social support on adherence to treatment can help nurses and physicians to develop special educational and motivational programs to improve self-care behaviors which are among the most important factors affecting adherence to different aspect of treatment in these patients.

5.2. Study Limitations

This study is based on self-report method which may cause a kind of bias because of differences in patients' attitudes and expectations. Further evaluation of these items in HF patients with a larger sample size with interview method and evaluation of proper interventions to improve outcomes is recommended.

Acknowledgements

Footnotes

References

  • 1.

    Rajadurai J, Tse HF, Wang CH, Yang NI, Zhou J, Sim D. Understanding the epidemiology of heart failure to improve management practices: An Asia-Pacific perspective. J Card Fail. 2017;23(4):327-39. doi: 10.1016/j.cardfail.2017.01.004. [PubMed: 28111226].

  • 2.

    Berry C, McMurray J. Undertreatment of heart failure has high cost to patients. BMJ (Clinical Res Ed). 2001;322(7288):731-2. doi: 10.1136/bmj.322.7288.731.

  • 3.

    MacMahon KM, Lip GY. Psychological factors in heart failure: A review of the literature. Arch Intern Med. 2002;162(5):509-16. doi: 10.1001/archinte.162.5.509. [PubMed: 11871918].

  • 4.

    Ditewig JB, Blok H, Havers J, van Veenendaal H. Effectiveness of self-management interventions on mortality, hospital readmissions, chronic heart failure hospitalization rate and quality of life in patients with chronic heart failure: A systematic review. Patient Educ Couns. 2010;78(3):297-315. doi: 10.1016/j.pec.2010.01.016. [PubMed: 20202778].

  • 5.

    Jovicic A, Holroyd-Leduc JM, Straus SE. Effects of self-management intervention on health outcomes of patients with heart failure: A systematic review of randomized controlled trials. BMC Cardiovasc Disord. 2006;6:43. doi: 10.1186/1471-2261-6-43. [PubMed: 17081306]. [PubMed Central: PMC1660572].

  • 6.

    Gallagher R, Luttik ML, Jaarsma T. Social support and self-care in heart failure. J Cardiovasc Nurs. 2011;26(6):439-45. doi: 10.1097/JCN.0b013e31820984e1. [PubMed: 21372734].

  • 7.

    Rajati F, Sadeghi M, Feizi A, Sharifirad G, Hasandokht T, Mostafavi F. Self-efficacy strategies to improve exercise in patients with heart failure: A systematic review. ARYA Atheroscler. 2014;10(6):319-33. [PubMed: 25815022]. [PubMed Central: PMC4354085].

  • 8.

    Bagheri Saveh MI, AshkTorab T, Borz Abadi Farahani Z, Zayeri F, Zohari Anboohi S. [The relationship between self-efficacy and self-care behaviors in chronic heart failure]. Adv Nurs Midwifery. 2013;22(78):17-26. Persian.

  • 9.

    Baradaranfard F, Babaee S, Boroumand S, Mosleh S, Jafari F, Binaee N. The relationship between quality of life and cardiovascular self-efficacy in patients with heart failure: A descriptive correlation study. Jundishapur J Chron Dis Care. 2018;7(4). e68431. doi: 10.5812/jjcdc.68431.

  • 10.

    Maeda U, Shen BJ, Schwarz ER, Farrell KA, Mallon S. Self-efficacy mediates the associations of social support and depression with treatment adherence in heart failure patients. Int J Behav Med. 2013;20(1):88-96. doi: 10.1007/s12529-011-9215-0. [PubMed: 22212607].

  • 11.

    Ruppar TM, Cooper PS, Mehr DR, Delgado JM, Dunbar-Jacob JM. Medication adherence interventions improve heart failure mortality and readmission rates: Systematic review and meta-analysis of controlled trials. J Am Heart Assoc. 2016;5(6). e002606. doi: 10.1161/JAHA.115.002606. [PubMed: 27317347]. [PubMed Central: PMC4937243].

  • 12.

    Farrell K, Shen BJ, Mallon S, Penedo FJ, Antoni MH. Utility of the Millon Behavioral Medicine Diagnostic to predict medication adherence in patients diagnosed with heart failure. J Clin Psychol Med Settings. 2011;18(1):1-12. doi: 10.1007/s10880-010-9217-0. [PubMed: 21222020].

  • 13.

    Sayers SL, Riegel B, Pawlowski S, Coyne JC, Samaha FF. Social support and self-care of patients with heart failure. Ann Behav Med. 2008;35(1):70-9. doi: 10.1007/s12160-007-9003-x. [PubMed: 18347906].

  • 14.

    Masoudnia E, Foroozannia K, Montazeri M. [Relationship between perceived social support and adherence to medical advices among patients with coronary heart disease after by-pass surgery]. J Shahid Sadoughi Univ Med Sci Health Serv. 2012;19:798-806. Persian.

  • 15.

    Luttik ML, Jaarsma T, Moser D, Sanderman R, van Veldhuisen DJ. The importance and impact of social support on outcomes in patients with heart failure: An overview of the literature. J Cardiovasc Nurs. 2005;20(3):162-9. doi: 10.1097/00005082-200505000-00007. [PubMed: 15870586].

  • 16.

    Thoits PA. Life stress, social support, and psychological vulnerability: Epidemiological considerations. J Community Psychol. 1982;10(4):341-62. doi: 10.1002/1520-6629(198210)10:4<341::aid-jcop2290100406>3.0.co;2-j. [PubMed: 10298894].

  • 17.

    Lindeman CA, McAthie M. Fundamentals of contemporary nursing practice. 1st ed. WB Saunders Company; 1999. 1150 p.

  • 18.

    Mansoreyeh N, Poursharifi H, Taban Sadeghi M, Seirafi M. The predictive roles of self-efficacy, illness perception, and social support in self-care of patients with heart failure. Prev Care Nurs Midwifery J. 2017;7(3):39-46.

  • 19.

    Cheraghi MA, Davari Dolatabadi E, Salavati M, Moghimbeigi A. [Association between perceived social support and quality of life in patients with heart failure]. Iran J Nurs. 2012;25(75):21-31. Persian.

  • 20.

    Cheraghi MA, Davari Dolatabadi E. [Development and psychometric evaluation of the heart failure patients’ perceived social support inventory]. J Rafsanjan Univ Med Sci. 2016;15(3):195-208. Persian.

  • 21.

    Thomas CM. Self-concept cognitive perception and adherence to recommended health regimes in adults with heart failure [dissertation]. Widener University School of Nursing; 2004.

  • 22.

    Ahrari S, Heydari A, Vaghee S. [The role of self-concept mode of Roy’s Adaptation Model on adherence of diet regimen in heart failure patients]. Q Horizon Med Sci. 2012;17(4):18-24. Persian.

  • 23.

    Wu JR, Moser DK, Chung ML, Lennie TA. Predictors of medication adherence using a multidimensional adherence model in patients with heart failure. J Card Fail. 2008;14(7):603-14. doi: 10.1016/j.cardfail.2008.02.011. [PubMed: 18722327]. [PubMed Central: PMC2603618].

  • 24.

    Sit JW, Wong TK, Clinton M, Li LS, Fong YM. Stroke care in the home: The impact of social support on the general health of family caregivers. J Clin Nurs. 2004;13(7):816-24. doi: 10.1111/j.1365-2702.2004.00943.x. [PubMed: 15361155].

  • 25.

    Harshida P, Sumana G. The impact of self-efficacy and depression on self-care in patients with heart failure: An integrative review. Int Arch Nurs Health Care. 2017;3(4). doi: 10.23937/2469-5823/1510087.

  • 26.

    Chen AM, Yehle KS, Albert NM, Ferraro KF, Mason HL, Murawski MM, et al. Relationships between health literacy and heart failure knowledge, self-efficacy, and self-care adherence. Res Social Adm Pharm. 2014;10(2):378-86. doi: 10.1016/j.sapharm.2013.07.001. [PubMed: 23953756]. [PubMed Central: PMC3923851].

  • 27.

    Bennett SJ, Perkins SM, Lane KA, Deer M, Brater DC, Murray MD. Social support and health-related quality of life in chronic heart failure patients. Qual Life Res. 2001;10(8):671-82. doi: 10.1023/a:1013815825500. [PubMed: 11871588].

  • 28.

    Alizadeh Z, Ashktorab T, Nikravan Mofrad M, Zayeri F. [Correlation between percieved social support and self care behaviors among patients with heart failure]. J Health Promot Manag (JHPM). 2014;3(9):27-35. Persian.

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