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Strömberg U, Berglund A, Carlsson S, Thellenberg Karlsson C, Lambe M, Lissbrant IF, Stattin P, Bratt O. Socioeconomic inequality in prostate cancer diagnostics, primary treatment, rehabilitation, and mortality in Sweden. Int J Cancer 2024; 155:637-645. [PMID: 38526118 DOI: 10.1002/ijc.34932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 02/26/2024] [Accepted: 02/27/2024] [Indexed: 03/26/2024]
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.
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Affiliation(s)
- Ulf Strömberg
- School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Research and Development, Region Kronoberg, Växjö, Sweden
| | | | - Stefan Carlsson
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Urology, Karolinska University Hospital Solna, Stockholm, Sweden
| | | | - Mats Lambe
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Ingela Franck Lissbrant
- Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Pär Stattin
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Ola Bratt
- Department of Urology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Urology, Sahlgrenska University Hospital, Gothenburg, Sweden
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