Bibliographic Details
| Title: |
Socioeconomic inequality in prostate cancer diagnostics, primary treatment, rehabilitation, and mortality in Sweden. |
| Authors: |
Strömberg, Ulf, Berglund, Anders, Carlsson, Stefan, Thellenberg Karlsson, Camilla, Lambe, Mats, Lissbrant, Ingela Franck, Stattin, Pär, Bratt, Ola |
| Source: |
International Journal of Cancer; Aug2024, Vol. 155 Issue 4, p637-645, 9p |
| Subject Terms: |
PROSTATE cancer, HEALTH equity, PROSTATE cancer patients, MAGNETIC resonance imaging, NATIONAL health services, INCOME, ENDORECTAL ultrasonography |
| Geographic Terms: |
SWEDEN |
| Abstract: |
We designed a nationwide study to investigate the association between socioeconomic factors (household income and education) and different aspects of prostate cancer care, considering both individual‐ and neighbourhood‐level variables. Data were obtained from Prostate Cancer data Base Sweden (PCBaSe), a research database with data from several national health care registers including clinical characteristics and treatments for nearly all men diagnosed with prostate cancer in Sweden. Four outcomes were analysed: use of pre‐biopsy magnetic resonance imaging (MRI) in 2018–2020 (n = 11,843), primary treatment of high‐risk non‐metastatic disease in 2016–2020 (n = 6633), rehabilitation (≥2 dispensed prescriptions for erectile dysfunction within 1 year from surgery in 2016–2020, n = 6505), and prostate cancer death in 7770 men with high‐risk non‐metastatic disease diagnosed in 2010–2016. Unadjusted and adjusted odds and hazard ratios (OR/HRs) with 95% confidence intervals (CIs) were calculated. Adjusted odds ratio (ORs) comparing low versus high individual education were 0.74 (95% CI 0.66–0.83) for pre‐biopsy MRI, 0.66 (0.54–0.81) for primary treatment, and 0.82 (0.69–0.97) for rehabilitation. HR gradients for prostate cancer death were significant on unadjusted analysis only (low vs. high individual education HR 1.41, 95% CI 1.17–1.70); co‐variate adjustments markedly attenuated the gradients (low vs. high individual education HR 1.10, 95% CI 0.90–1.35). Generally, neighbourhood‐level analyses showed weaker gradients over the socioeconomic strata, except for pre‐biopsy MRI. Socioeconomic factors influenced how men were diagnosed with prostate cancer in Sweden but had less influence on subsequent specialist care. Neighbourhood‐level socioeconomic data are more useful for evaluating inequality in diagnostics than in later specialist care. [ABSTRACT FROM AUTHOR] |
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| Database: |
Complementary Index |
