
Leader Identification of Social Learning among Patients with Type 2 Diabetes Mellitus and Hypertension using Social Network Analysis
Author(s) -
Napa Rachata,
Nakarin Chaikaew
Publication year - 2021
Publication title -
international journal of geoinformatics
Language(s) - English
Resource type - Journals
ISSN - 2673-0014
DOI - 10.52939/ijg.v17i5.2011
Subject(s) - type 2 diabetes mellitus , diabetes mellitus , identification (biology) , medicine , ideal (ethics) , health care , quality of life (healthcare) , nursing , political science , endocrinology , botany , law , biology
Preventing patients with type 2 diabetes mellitus and hypertension from cardiovascular complications is undeniably a public health problem that deserves research attention. The leader is important person for the social learning because the leader can provide valuable inspiration and knowledge to support a better quality of life for their community. Consequently, the patients can prevent themselves not to have complications with the presence of the leader. Furthermore, leader is a challenge for the social learning because the leader is changed under different conditions anytime. For these reasons, this paper proposes the analysis of a social learning for identifying leader among patients with type 2 diabetes mellitus and hypertension for preventing cardiovascular complications based on the social network analysis method. The proposed leader is expected that she/he is a role model who provides the ideal healthcare practice for other patients so they can learn healthcare practice from the leader for managing themselves appropriately throughout their healthcare journey. This proposed paper is proved with 189 patients with type 2 diabetes mellitus and hypertension in areas with high-risk patients. The experimental results show that the proposed leader has been widely accepted among the patients' social learning.