Perceptions and experiences of prostate cancer patients in a public tertiary hospital in urban South Africa.
Andrew Wooyoung KimMadeleine LambertShane A NorrisEmily MendenhallPublished in: Ethnicity & health (2023)
ABSTRACT Prostate cancer is among the most prevalent forms of cancer worldwide and is reported to have the highest incidence, mortality, and 5-year prevalence rate of all cancers among men living in Africa. Despite this widespread burden in the African continent, little is known about the perspectives and experience of prostate cancer among African men. To further understand experiences among patients living in urban South Africa, we conducted in-depth, semi-structured qualitative interviews to examine the perceptions and experiences of 28 Black African prostate cancer patients receiving treatment at a major tertiary hospital in Johannesburg, South Africa. Our data explored four major areas of patients' experiences with prostate cancer: detection, diagnosis, treatment, and follow-up care. Our results showed that the experience of living with prostate cancer among low-income, Black South African men is a stressful and emotionally painful experience due in part to men feeling that they had insufficient knowledge about their own condition and feeling disempowered or ill-equipped to manage their cancer. These feelings were strongly associated with distrust or dissatisfaction with physicians and the health care system. Resilience factors include social support from family, friends, and religious communities, acceptance of their diagnosis, religion, and positive appraisals of their medical care.
Keyphrases
- prostate cancer
- south africa
- radical prostatectomy
- healthcare
- social support
- end stage renal disease
- mental health
- primary care
- ejection fraction
- risk factors
- chronic kidney disease
- newly diagnosed
- depressive symptoms
- prognostic factors
- papillary thyroid
- emergency department
- cardiovascular disease
- climate change
- squamous cell carcinoma
- patient reported outcomes
- human immunodeficiency virus
- machine learning
- cardiovascular events
- hiv infected
- data analysis