E-Health: The impact of social network on self care behavior in heart failure patients toward COVID-19 epidemic

Authors
Masoomeh Latifi 1
Motahare Anvari Tafti 2
Nasrin Davari Dolatabadi 3
Zahra Rafiei 4
Leili Allahbakhshian Farsani 5
1 PhD in Information Sciences and Knowledge Studies, Cardiovascular Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
2 Department of Emergency Medicine, School of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
3 Associate Professor of Health Information Management, Department of Health Information Technology, School of Allied Medical Sciences, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
4 Department of Critical Care Nursing, Faculty of Nursing and Midwifery, Isfahan University of Medical Sciences, Isfahan, Iran
5 PhD in Knowledge and Information Sciences, Vice Chancellor for Research and Technology, Isfahan University of Medical Sciences, Isfahan, Iran
Abstract
Background: Patients with heart failure are one of the high-risk groups for coronary artery. Distance education of self-care behaviors can be effective in preventing the disease. The aim of this study was to investigate the effect of social networks in explaining the awareness of cardiovascular patients' self-care behaviors toward COVID-19. Materials and Methods: In the present survey study, 227 patients with a history of heart failure were selected from Shahid Rajaei Hospital in Tehran by the available sampling method (May to July 2020). Data collection tools were the standard European Self-Care Behavior Questionnaire for heart failure and the Dorty Elizabeth Orem self-care model. Data were analyzed using SPSS Version 22. Results: The results of the Pearson correlation coefficient showed a positive and relatively strong linear relationship between the variable of the degree of persistence in the use of networks with the eight dimensions of self-care behavior except psychological emotion control (r = −0.39, P = 0.315). Furthermore, a significant weak inverse relationship between the dimension of “cooperation with physicians and treatment staff” (r = −0.22, P = 0.129). Moreover, psychological support (r = −0/034, P = 0.446) was observed with the use of networks. Multivariate regression analysis revealed that the type of activity and participation in networks has a greater share and effect in increasing the score of self-care behavior of 0.55. Conclusions: Since the use of networks has a positive effect on patients' self-care behavior, the use of these networks is recommended as a community-based approach in the health system and to improve health and health outcomes.

Keywords

1.
Zhao S, Lin Q, Ran J, Musa SS, Yang G, Wang W, et al. Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreak. Int J Infect Dis 2020;92:214-7.  Back to cited text no. 1
    
2.
Liu C, Jiang ZC, Shao CX, Zhang HG, Yue HM, Chen ZH, et al. Preliminary study of the relationship between novel coronavirus pneumonia and liver function damage: A multicenter study. Zhonghua Gan Zang Bing Za Zhi 2020;28:148-52.  Back to cited text no. 2
    
3.
Ministry of Health and Medical Education. The Latest Corona Statistics in the Country Were Announced; 2020. Available from: https://behdasht.gov.ir/. [Last accessed on 2020 Jul 11].  Back to cited text no. 3
    
4.
Elkind MS, Harrington RA, Benjamin IJ. The Role of the American Heart Association in the Global COVID-19 Pandemic. Circulation 2020;141:e743-5.  Back to cited text no. 4
    
5.
World Health Organization. Noncommunicable Diseases Country Profiles; 2017. Available from: http://www.who.int/nmh/countries/irn_en.pdf?ua=1. [Last accessed on 2017 May].  Back to cited text no. 5
    
6.
Barnett JE, Cooper N. Creating a culture of self-care. Clin Psychol 2009;16:16-20.  Back to cited text no. 6
    
7.
Ahyana S, Kritpracha C, Thaniwattananon P. Cardiac rehabilitation enhancing programs in patients with myocardial infarction: A literature review. Nurse Media J Nurs 2013;3:541-56.  Back to cited text no. 7
    
8.
Ji Y, Ma Z, Peppelenbosch MP, Pan Q. Potential association between COVID-19 mortality and health-care resource availability. Lancet Glob Health 2020;8:e480.  Back to cited text no. 8
    
9.
Zigron S, Bronstein J. “Help is where you find it”: The role of weak ties networks as sources of information and support in virtual health communities. J Assoc Inform Sci Technol 2019;70:130-9.  Back to cited text no. 9
    
10.
Tripathi M, Singh S, Ghimire S, Shukla S, Kumar S. Effect of social networkon human health. Virol Immunol J 2018;2:1-3.  Back to cited text no. 10
    
11.
Lau AY, Gabarron E, Fernandez-Luque L, Armayones M. Social networkin health – What are the safety concerns for health consumers? Health Inform Manag J 2012;41:30-5.  Back to cited text no. 11
    
12.
Aghamohammadi TA, Khaleghipour M, Dalvandi A. The impact of self-management program on selfefficacy of elderly patients with heart failure. J Urmia Nurs Midwifery Fac 2017;14:1013-23.  Back to cited text no. 12
    
13.
Medina EL, Loques Filho O, Mesquita CT. Health social networks as online life support groups for patients with cardiovascular diseases. Arq Bras Cardiol 2013;101:e39-45.  Back to cited text no. 13
    
14.
Antonicelli R, Testarmata P, Spazzafumo L, Gagliardi C, Bilo G, Valentini M, et al. Impact of telemonitoring at home on the management of elderly patients with congestive heart failure. J Telemed Telecare 2008;14:300-5.  Back to cited text no. 14
    
15.
Woods L, Cummings E, Duff J, Walker K. Design thinking for mhealth application co-design to support heart failure self-management. Stud Health Technol Inform 2017;241:97-102.  Back to cited text no. 15
    
16.
Gandapur Y, Kianoush S, Kelli HM, Misra S, Urrea B, Blaha MJ. The role of m-health for improving medication adherence in patients with cardiovascular disease: A systematic review. Q Care Clin Outcomes 2016;2:237-44.  Back to cited text no. 16
    
17.
Benincasa G, Marfella R, Della Mura N, Schiano C, Napoli C. Strengths and opportunities of network medicine in cardiovascular diseases. Circ J 2020;84:144-52.  Back to cited text no. 17
    
18.
Scott J, Silva S, Simmons LA. Social networks are associated with ideal cardiovascular health in young black females: A latent class analysis. Circulation 2020;141 Suppl_1:A06.  Back to cited text no. 18
    
19.
Tabnak News Agency. The Situation of Heart Deaths in Iran; 2020.Available from: https://www.tabnak.ir/fa/news/838094\/%D9%88%D8%B6%D8%B9%DB%8C%D8%AA-%D9%85%D8%B1%DA%AF%E2%80%8C%D9%87%D8%A7%DB%8C-%D9%82%D9%84%D8%A8%DB%8C-%D8%AF%D8%B1-%D8%A7%DB%8C%D8%B1%D8%A7%D9%86/. [Last accessed on 2020 Jun 23].  Back to cited text no. 19
    
20.
World Health Organization. Coronavirus Disease 2019 (COVID-19): Situation Report, 72. Available from: https://apps.who.int/iris/bitstream/handle/10665/331685/nCoVsitrep01Apr2020-eng.pdf. [Last accessed on 2020 May 15].  Back to cited text no. 20
    
21.
Curtis JR, Kross EK, Stapleton RD. The importance of addressing advance care planning and decisions about do-not-resuscitate orders during novel coronavirus 2019 (COVID-19). JAMA 2020;323:1771-2.  Back to cited text no. 21
    
22.
Hartweg D. Dorothea Orem: Self-Care Deficit Theory. Philadelphia: W. B. Saunders; 1991.  Back to cited text no. 22
    
23.
Sedlar N, Lainscak M, Mårtensson J, Strömberg A, Jaarsma T, Farkas J. Factors related to self-care behaviours in heart failure: A systematic review of European Heart Failure Self-Care Behaviour Scale studies. Eur J Cardiovasc Nurs 2017;16:272-82.  Back to cited text no. 23
    
24.
Kaplan AM, Haenlein M. Users of the world, unite! The challenges and opportunities of Social Media. Bus Horiz 2010;53:59-68.  Back to cited text no. 24
    
25.
Phua J, Jin SV, Kim JJ. Uses and gratifications of social networking sites for bridging and bonding social capital: A comparison of Facebook, Twitter, Instagram, and Snapchat. Comput Hum Behav 2017;72:115-22.  Back to cited text no. 25
    
26.
McPhail TL. Global Communication: Theories, Stakeholders, and Trends. New Jersey: John Wiley & Sons; 2010.  Back to cited text no. 26
    
27.
Jaarsma T, Cameron J, Riegel B, Stromberg A. Factors related to self-care in heart failure patients according to the middle-range theory of self-care of chronic illness: A literature update. Curr Heart Fail Rep 2017;14:71-7.  Back to cited text no. 27
    
28.
Vassilev I, Rogers A, Sanders C, Kennedy A, Blickem C, Protheroe J, et al. Social networks, social capital and chronic illness self-management: A realist review. Chronic Illn 2011;7:60-86.  Back to cited text no. 28
Advanced Biomedical Research
Volume 2021, june
June 2021
Pages 1-7