Using decision tree analysis to understand the influence of social networks on disclosure of HIV infection status
Author:
Affiliation:
1. Mo-Im Kim Nursing Research Institute, College of Nursing, Yonsei University, Seoul, Republic of Korea
2. Hongcheon Hospital, Hongchen-gun, Gangwon-do, Republic of Korea
Funder
National Research Foundation of Korea
Yonsei University College of Nursing
Publisher
Informa UK Limited
Subject
Public Health, Environmental and Occupational Health,Social Psychology,Health (social science)
Link
https://www.tandfonline.com/doi/pdf/10.1080/09540121.2021.1954587
Reference31 articles.
1. A model of HIV disclosure: Disclosure and types of social relationships
2. Social Network Characteristics Moderate the Association Between Stigmatizing Attributions About HIV and Non-adherence Among Black Americans Living with HIV: a Longitudinal Assessment
3. Disclosure and Self-Efficacy Among HIV-Positive Men Who Have Sex with Men: A Comparison Between Older and Younger Adults
4. Understanding HIV disclosure: A review and application of the Disclosure Processes Model
5. High Levels of Adherence and Viral Suppression in a Nationally Representative Sample of HIV-Infected Adults on Antiretroviral Therapy for 6, 12 and 18 Months in Rwanda
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4. Psychometric Properties of the Korean Version of Self-Efficacy for HIV Disease Management Skills;Journal of Korean Academy of Nursing;2023
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