Socio-demographic characteristics, point prevalence and referral patterns of prostate cancer patients in a South African rural teaching hospital: a cross-sectional study - Summary - MDSpire
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Socio-demographic characteristics, point prevalence and referral patterns of prostate cancer patients in a South African rural teaching hospital: a cross-sectional study
To describe the socio-demographic characteristics, population point prevalence, geographic distribution, and referral patterns of patients diagnosed with prostate cancer at Nelson Mandela Academic Hospital in South Africa.
Approach:
Study Design: A quantitative cross-sectional study using secondary data from medical records of men diagnosed with prostate cancer between March 2020 and December 2021.
Data Collection: A total of 224 patient records were reviewed, collecting variables such as age, district, sub-district residence, and referral facility.
Statistical Analysis: Descriptive statistics and chi-square tests were used to assess associations between geographic variables and disease risk, with geographic distribution visualized using heat maps.
Key Findings:
Mean age of participants was 72.6 years (SD ± 8.8).
61.2% of patients presented with high-risk disease at diagnosis (95% CI: 54.4%–67.6%).
High-risk disease was most prevalent among patients aged 80 years and older (87.8%; 95% CI: 75.2%–95.4%).
75.4% of patients originated from the OR Tambo District (95% CI: 69.3%–80.9%), particularly the King Sabata Dalindyebo sub-district.
No statistically significant association between geographic district and risk category (p = 0.932).
Interpretation:
Most prostate cancer patients presenting to the teaching hospital were diagnosed with advanced disease, irrespective of geographic location.
Limitations:
The study is based on secondary data, which may have limitations in accuracy and completeness.
Findings may not be generalizable to other regions or populations outside the study area.
Conclusion:
The findings highlight the need for strengthened early detection strategies, decentralized screening services, improved referral pathways, and targeted community awareness programmes in rural provinces of South Africa.