The Biopsychosocial Impact and Syndemic Effect of COVID-19 on Youth Living with HIV in Kenya.
Tiffany ChennevilleKemesha S GabbidonBharat BharatZachary WhitneyScholastic AdeliMary AnyangoPublished in: Journal of the International Association of Providers of AIDS Care (2022)
COVID-19's rapid emergence as a biological and psychosocial threat has affected people globally. The purpose of this qualitative study, which was guided by syndemic theory and the biopsychosocial framework, was to examine the impact of COVID-19 on youth living with HIV (YLWH) in Kenya. Seven virtual focus groups and two in-depth interviews were conducted with 15 YLWH aged 18-24, 13 youth affected by HIV aged 18-24, and 12 HIV healthcare providers living in Nakuru and Eldoret, two of Kenya's largest cities. Data were analyzed using qualitative content analysis, which was guided by a descriptive phenomenological approach. Findings provided information about the problems and needs of YLWH as well as potential solutions for mitigating COVID-19's biopsychosocial impact and syndemic effect on YLWH in Kenya. A variety of individual, community, healthcare, and government issues were identified including but not limited to concerns about psychosocial functioning; economic stability; access to medical treatment and medication; the availability of goods and services; patient education; and the dissemination of accurate information. These findings have important implications for addressing the ongoing and long-term impact of the pandemic on YLWH in resource-limited settings through research, policy, and practice.
Keyphrases
- healthcare
- coronavirus disease
- mental health
- sars cov
- antiretroviral therapy
- hiv positive
- hiv infected
- human immunodeficiency virus
- respiratory syndrome coronavirus
- physical activity
- hepatitis c virus
- health information
- hiv testing
- young adults
- primary care
- hiv aids
- men who have sex with men
- risk assessment
- high resolution
- cross sectional
- emergency department
- quality improvement
- human health
- mass spectrometry
- adverse drug
- public health
- machine learning
- affordable care act
- combination therapy
- deep learning
- climate change
- data analysis
- south africa
- case report
- sensitive detection