Behavioral, social, and affective factors associated with self-efficacy for self-management among people with epilepsy
Introduction
Much research has been directed toward the study of health behaviors and factors associated with successful behavior change and maintenance. One factor that has received considerable attention is that of self-efficacy, which Bandura [1] defines as “beliefs in one’s capabilities to organize and execute the courses of action required to produce given attainments.” The construct is a central concept within social cognitive theory, which suggests that people who have high levels of self-efficacy are more likely to perform a given behavior [1]. Moreover, they are more likely to persevere to overcome barriers and to work longer at mastering the behavior before giving up. Studies of people with chronic health problems such as epilepsy, diabetes, arthritis, and asthma repeatedly demonstrate the value of this construct. The findings of several studies indicate that people with high levels of self-efficacy are more successful at managing self-care tasks such as taking medications, avoiding triggers for symptoms, and monitoring health status [2], [3], [4], [5], [6].
Although much is known about the association between self-efficacy and self-management, less is known about factors that foster the development of self-efficacy itself. Several investigators have explored sources of self-efficacy related to career choice [7], [8]; however, only a few have examined factors associated with self-efficacy related to health behaviors. Cousins and Tan [9] evaluated cognitive and contextual elements that contribute to self-efficacy for walking blocks and climbing stairs. The self-referent beliefs they evaluated included those about exercise, social support, and risks and benefits of exercise, and the contextual characteristics included age, education, and health. The results indicated that both cognitive and contextual variables were important in fostering self-efficacy. McAuley et al. studied, social, affective and behavioral influences of exercise self-efficacy among older adults [10]. They found that exercise self-efficacy of older men and women participants was associated with more frequent exercise, a perception that the exercise group was more supportive and feeling good after exercising.
The findings of previous studies of self-management in epilepsy indicate that self-efficacy is a primary determinant of general epilepsy self-management and medication management [3], [11]. Moreover, people who have high levels of social support are more likely to express a strong sense of self-efficacy [3]. In the present study, we sought to expand the previous research by exploring behavioral, social, and affective factors associated with self-efficacy for self-management in persons with epilepsy. Variables selected for evaluation were based on social cognitive theory and a review of the self-efficacy literature. The variables selected were previous performance of self-management behaviors, social support, regimen-specific support, satisfaction with communication with physician, depressive symptoms, and stigma. Previous self-management behavior was selected because Bandura [1] notes that people who have successfully mastered a behavior are likely to have a strong sense of efficacy related to that behavior. Repeated success increases or sustains confidence, whereas continued failure leads to defeat and a weak sense of efficacy. Based on previous research, it was expected that individuals who perceive more support from various sources would exhibit higher levels of self-efficacy. Because affective states can influence performance, we included a measure of depressive symptoms and a measure of stigma to explore how these variables would affect one’s self-efficacy for self-management of epilepsy.
Data for this study were taken from a larger study on epilepsy self-management. This study was a longitudinal study that included three interviews over a 6-month period. Thus, we were able to use data from the predictor variables that were measured 3 months before self-efficacy. This approach strengthened our model that sought to determine which of the predictor variables fostered the development of self-efficacy. If self-efficacy is an important concept in promoting self-management behavior, then it is important to understand the factors needed to improve or sustain self-efficacy.
Section snippets
Methods
This study was part of a larger research project designed to explore self-management among people with epilepsy. The National Institute of Nursing Research funded the research, and the institutional review boards at the researchers’ institutions and clinical sites approved the research prior to the initiation of the study. The research was conducted at three clinical sites: two in Atlanta, GA, and one in Boston, MA, USA. Two sites, one in each city, were epilepsy centers, and the second site in
Sample
Of 320 participants enrolled in the study, 3 participants were excluded because of incomplete assessments or withdrawal after baseline. Of the 317 participants completing the baseline examination, 272 (86%) returned for the 3-month follow-up examination and completed the Epilepsy Self-Efficacy Scale. The analyses reported included these 272 participants: 125 from Boston and 147 from Atlanta. Descriptive statistics are summarized for demographic variables in Table 1 and for seizure variables in
Discussion
The purpose of this analysis was to identify the sources of self-efficacy information that contribute to fostering confidence among persons with epilepsy. Based on social cognitive theory and a review of the self-efficacy literature, we expected that previous self-management experiences, social support, communication with the physician, depressive symptoms, and perceived stigma measured at one point in time would predict self-efficacy for epilepsy self-management behavior measured 3 months
Acknowledgments
This research was supported by Grant R01-NR04770 from the National Institute of Nursing Research and in part by Grant M01-RR01032 from the National Institutes of Health to the Beth Israel Deaconess Medical Center—GCRC. We acknowledge the following members of the Project EASE Study Group: Emory University, Atlanta, GA: Charles M. Epstein, M.D., Page Pennell, M.D., Sandra Helmers, M.D., Sandra Clements, M.S., R.N.; Beth Israel Deaconess Medical Center, Boston, MA: Francis W. Drislane, M.D.,
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