Factors Predicting Self-Care in Patients with Atrial Fibrillation
Article Sidebar
Main Article Content
Abstract
Purpose: To explore the predictive correlation of eHealth literacy, trust in health care provider, self-efficacy, and perception of symptom severity on self-care in patients with atrial fibrillation.
Design: Predictive correlational research.
Methods: The study included 108 individuals who were followed up for diagnosis of atrial fibrillation at a tertiary hospital in the metropolitan region. Data were collected using a demographic data questionnaire, Self-Care of Chronic Illness Inventory, eHealth Literacy Questionnaire, Health Care Relationship Trust Scale, and Atrial Fibrillation Symptom and Burden. Data were analyzed using descriptive statistics and multiple linear regression.
Main findings: The overall self-care level was very good (73.2%). The results showed that eHealth literacy, trust in health care providers, self-efficacy, and perception of symptom severity could together explain 28.7% of the variance in self-care in patients with atrial fibrillation. The significant predicting factors on self-care in patients with atrial fibrillation were self-efficacy ( = .46, p < .001), and trust in health care provider (
= .21, p = .012).
Conclusion and recommendations: Self-efficacy and trust in health care provider can predict self-care in patients with atrial fibrillation. Health care providers should support patients to develop self-efficacy by reflecting on the outcomes of their self-care, providing positive reinforcement, and introducing a patient model of good self-care. In addition, health care providers should establish a trust between them and patients by actively listening to their problems and encouraging decision-making participation.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright Notice: Nursing Science Journal of Thailand has exclusive rights to publish and distribute the manuscript and all contents therein. Without the journal’s permission, the dissemination of the manuscript in another journal or online, and the reproduction of the manuscript for non-educational purpose are prohibited.
Disclaimer: The opinion expressed and figures provided in this journal, NSJT, are the sole responsibility of the authors. The editorial board bears no responsibility in this regard.
References
Hindricks G, Potpara T, Dagres N, Arbelo E, Bax JJ, Blomstrom-Lundqvist C, et al. 2020 ESC Guidelines for the diagnosis and management of atrial fibrillation developed in collaboration with the European Association for Cardio-Thoracic Surgery (EACTS): The task force for the diagnosis and management of atrial fibrillation of the European Society of Cardiology (ESC) developed with the special contribution of the European Heart Rhythm Association (EHRA) of the ESC. Eur Heart J. 2020;42(5):373-498. doi: 10.1093/eurheartj/ehaa612.
Virani SS, Alonso A, Aparicio HJ, Benjamin EJ, Bittencourt MS, Callaway CW, et al. Heart disease and stroke statistics-2021 update: a report from the American Heart Association. Circulation. 2021;143(8):e254-e743. doi: 10.1161/CIR.0000000000000950.
Suwanwela NC, Chutinet A, Autjimanon H, Ounahachok T, Decha-Umphai C, Chockchai S, et al. Atrial fibrillation prevalence and risk profile from novel community-based screening in Thailand: A prospective multi-centre study. Int J Cardiol Heart Vasc. 2021;32:100709. doi: 10.1016/j.ijcha.2020.100709.
Andrade JG, Aguilar M, Atzema C, Bell A, Cairns JA, Cheung CC, et al. The 2020 Canadian Cardiovascular Society/Canadian Heart Rhythm Society comprehensive guidelines for the management of atrial fibrillation. Can J Cardiol. 2020;36(12):1847-948. doi: 10.1016/j.cjca.2020.09.001.
Son Y-J, Lee K, Kim B-H. Gender differences in the association between frailty, cognitive impairment, and self-care behaviors among older adults with atrial fibrillation. Int J Environ Res Public Health. 2019;16(13):2387. doi: 10.3390/ijerph16132387.
Vest BM, Quigley BM, Lillvis DF, Horrigan-Maurer C, Firth RS, Curtis AB, et al. Comparing patient and provider experiences with atrial fibrillation to highlight gaps and opportunities for improving care. J Gen Intern Med. 2022;37(12):3105-13. doi: 10.1007/s11606-021-07303-5.
Riegel B, Jaarsma T, Lee CS, Stromberg A. Integrating symptoms into the middle-range theory of self-care of chronic illness. Adv Nurs Sci. 2019;42(3):206-15. doi: 10.1097/ANS.0000000000000237.
Chuang HW, Kao CW, Lin WS, Chang YC. Factors affecting self-care maintenance and management in patients with heart failure: testing a path model. J Cardiovasc Nurs. 2019;34(4):297-305. doi: 10.1097/JCN.0000000000000575.
Lin C-Y, Ganji M, Griffiths MD, Bravell ME, Brostrom A, Pakpour AH. Mediated effects of insomnia, psychological distress and medication adherence in the association of eHealth literacy and cardiac events among Iranian older patients with heart failure: a longitudinal study. Eur J Cardiovasc Nurs. 2020;19(2):155-64. doi: 10.1177/1474515119873648.
Cho GY, Ha MN. Mediating effects of health belief on the correlations among disease-related knowledge, ehealth literacy, and self-care behaviors in outpatients with hypertension. Korean J Adult Nurs. 2019;31(6):638-49. doi: 10.7475/kjan.2019.31.6.638.
Son Y-J, Lee Y-M, Kim EY. How do patients develop self-care behaviors to live well with heart failure?: A focus group interview study. Collegian. 2019;26(4):448-56. doi: 10.1016/j.colegn.2018.12.004.
Zhou C, Chen J, Tan F, Lai S, Li X, Pu K, et al. Relationship between self-care compliance, trust, and satisfaction among hypertensive patients in China. Front Public Health. 2022;10:1085047. doi: 10.3389/fpubh.2022.1085047.
Chen PT, Wang TJ, Hsieh MH, Liu JC, Liu CY, Wang KY, et al. Anticoagulation adherence and its associated factors in patients with atrial fibrillation: a cross-sectional study. BMJ Open. 2019;9(9):e029974. doi: 10.1136/bmjopen-2019-029974.
Chen AMH, Yehle KS, Plake KS, Rathman LD, Heinle JW, Frase RT, et al. The role of health literacy, depression, disease knowledge, and self-efficacy in self-care among adults with heart failure: an updated model. Heart Lung. 2020;49(6):702-8. doi: 10.1016/j.hrtlng.2020.08.004.
Ryou C, Kang S-M, Jang Y. Factors associated with self-care behaviours among Koreans with heart failure. Eur J Cardiovasc Nurs. 2021;20(3):276-84. doi: 10.1177/1474515120934060.
Austin RC, Schoonhoven L, Richardson A, Kalra PR, May CR. Qualitative interviews results from heart failure survey respondents on the interaction between symptoms and burden of self-care work. J Clin Nurs. 2023;32(15-16):4649-62. doi: 10.1111/jocn.16484.
Trongsakul S, Lambert R, Clark A, Wongpakaran N, Cross J. Development of the Thai version of mini-cog, a brief cognitive screening test. Geriatr Gerontol Int. 2015;15(5):594-600. doi: 10.1111/ggi.12318.
Riegel B, Barbaranelli C, Sethares KA, Daus M, Moser DK, Miller JL, et al. Development and initial testing of the self-care of chronic illness inventory. J Adv Nurs. 2018;74(10):2465-76. doi: 10.1111/jan.13775.
Norman CD, Skinner HA. eHEALS: The eHealth literacy scale. J Med Internet Res. 2006;8(4):e27. doi: 10.2196/jmir.8.4.e27.
Buttapim S, Wanitkun N, Sindhu S, Kasemsarn C. Predictive factors of patients’ quality of life three months after post coronary artery bypass graft surgery. Thai Journal of Cardio-Thoracic Nursing. 2018;29(2):127-40. (in Thai).
Yu DS, De Maria M, Barbaranelli C, Vellone E, Matarese M, Ausili D, et al. Cross-cultural applicability of the self-care self-efficacy scale in a multi-national study. J Adv Nurs. 2021;77(2):681-92. doi: 10.1111/jan.14617.
Chaijum N, Sriprasong S, Saneha C, Methavigul K. Factors influencing unpleasant symptoms in patients with atrial fibrillation. Nursing Science Journal of Thailand. 2023;41(2):62-75. (in Thai).
Riegel B, Jaarsma T, Stromberg A. A middle-range theory of self-care of chronic illness. Adv Nurs Sci. 2012;35(3):194-204. doi: 10.1097/ANS.0b013e318261b1ba.
Ghazi SN, Berner J, Anderberg P, Sanmartin Berglund J. The prevalence of eHealth literacy and its relationship with perceived health status and psychological distress during Covid-19: a cross-sectional study of older adults in Blekinge, Sweden. BMC Geriatr. 2023;23(1):5. doi: 10.1186/s12877-022-03723-y.
McCabe PJ, Stuart-Mullen LG, McLeod CJ, T OB, Schmidt MM, Branda ME, et al. Patient activation for self-management is associated with health status in patients with atrial fibrillation. Patient Prefer Adher. 2018;12:1907-16. doi: 10.2147/PPA.S172970.