Using decision tree analysis to understand the influence of social networks on disclosure of HIV infection status

被引:5
作者
Kim, Gwang Suk [1 ]
Shim, Mi-So [1 ]
Yi, Jeongmin [2 ]
机构
[1] Yonsei Univ, Mo Im Kim Nursing Res Inst, Coll Nursing, 50-1 Yonsei Ro, Seoul 03722, South Korea
[2] Hongcheon Hosp, Hongchen Gun, Gangwon Do, South Korea
来源
AIDS CARE-PSYCHOLOGICAL AND SOCIO-MEDICAL ASPECTS OF AIDS/HIV | 2022年 / 34卷 / 01期
基金
新加坡国家研究基金会;
关键词
HIV; disclosure; social network; social support; SUPPORT; OLDER; MEN;
D O I
10.1080/09540121.2021.1954587
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Disclosure of human immunodeficiency virus (HIV) infection status improves treatment adherence and HIV prevention. Social networks influence such disclosure by people living with HIV/AIDS (PLWH). This study aimed to investigate the disclosure status of Korean PLWH and determine the social network characteristics associated with disclosure. A cross-sectional study design was used, and 148 Korean PLWH answered self-report questionnaires that included items on the characteristics of social networks and disclosure. Logistic regression and decision tree analysis were performed. In total, 81 participants (54.7%) reported disclosing HIV status to the most important supporter. Five factors were found to influence disclosure: age, self-help group participation, living arrangement, social network relationship, and tie strength; three groups had higher percentages of nondisclosure. The findings suggest that healthcare practitioners should provide adequate counseling by considering the characteristics of social networks and disclosure status of PLWH. Researchers should identify high-risk populations using decision tree analysis.
引用
收藏
页码:118 / 126
页数:9
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