Herrmann, C. and Ess, S. and Walser, E. and Frick, H. and Thürlimann, B. and Probst-Hensch, N. and Rothermundt, C. and Vounatsou, P.. (2020) Regional differences and trends in breast cancer surgical procedures and their relation to socioeconomic disparities and screening patterns. Journal of public health, 28 (1). pp. 71-80.
PDF
- Published Version
Available under License CC BY (Attribution). 987Kb |
Official URL: https://edoc.unibas.ch/75678/
Downloads: Statistics Overview
Abstract
Background
Important regional disparities in patterns of care in breast cancer have recently been described. In Switzerland, nationwide data on hospitalisations have been collected since 1998. They have not been used up to now to explore space–time patterns and trends of breast cancer healthcare-related procedures for control and health planning purposes. We aimed to assess geographical and temporal variation of mastectomy rates.
Methods
Bayesian negative-binomial spatio-temporal models have been applied. Covariates included patient characteristics as provided in the hospital data, data on mammography screening programme duration, and surgeon and gynaecologist density.
Results
We analyzed more than 70,000 patients. Mastectomy rates declined from 43% to 30% in Switzerland between 2000 and 2012 for patients aged 50–69 and from 61% to 43% for those 70+, and remained stable for those under 50. Important geographical differences in rates were present. Rates were significantly influenced by age [relative rate ratio (RR) 50–69: 0.92, RR 70+: 1.25], differences in co-morbidity (RR one co-morbidity: 1.17, RR more than one: 1.35), higher surgeon or gynaecologist density (RR surgeons: 1.01, RR gynaecologists: 1.06). Regions in the French-speaking part (RR: 0.72) and/or with mammography screening programmes showed significantly lower rates (RR: 0.87). No difference was found for patients in different socio-economic groups or with different insurance types.
Conclusion
This research unveiled important differences in mastectomy rates in Switzerland. The results play an essential role in the identification of regions where special attention is required, and indications for extensive surgery in breast cancer should be revisited.
Important regional disparities in patterns of care in breast cancer have recently been described. In Switzerland, nationwide data on hospitalisations have been collected since 1998. They have not been used up to now to explore space–time patterns and trends of breast cancer healthcare-related procedures for control and health planning purposes. We aimed to assess geographical and temporal variation of mastectomy rates.
Methods
Bayesian negative-binomial spatio-temporal models have been applied. Covariates included patient characteristics as provided in the hospital data, data on mammography screening programme duration, and surgeon and gynaecologist density.
Results
We analyzed more than 70,000 patients. Mastectomy rates declined from 43% to 30% in Switzerland between 2000 and 2012 for patients aged 50–69 and from 61% to 43% for those 70+, and remained stable for those under 50. Important geographical differences in rates were present. Rates were significantly influenced by age [relative rate ratio (RR) 50–69: 0.92, RR 70+: 1.25], differences in co-morbidity (RR one co-morbidity: 1.17, RR more than one: 1.35), higher surgeon or gynaecologist density (RR surgeons: 1.01, RR gynaecologists: 1.06). Regions in the French-speaking part (RR: 0.72) and/or with mammography screening programmes showed significantly lower rates (RR: 0.87). No difference was found for patients in different socio-economic groups or with different insurance types.
Conclusion
This research unveiled important differences in mastectomy rates in Switzerland. The results play an essential role in the identification of regions where special attention is required, and indications for extensive surgery in breast cancer should be revisited.
Faculties and Departments: | 09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Chronic Disease Epidemiology > Exposome Science (Probst-Hensch) 03 Faculty of Medicine > Departement Public Health > Sozial- und Präventivmedizin > Exposome Science (Probst-Hensch) 09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Biostatistics > Bayesian Modelling and Analysis (Vounatsou) |
---|---|
UniBasel Contributors: | Herrmann, Christian and Probst Hensch, Nicole and Vounatsou, Penelope |
Item Type: | Article, refereed |
Article Subtype: | Research Article |
Publisher: | Oxford University Press |
ISSN: | 1741-3842 |
Note: | Publication type according to Uni Basel Research Database: Journal article |
Language: | English |
Identification Number: | |
edoc DOI: | |
Last Modified: | 05 Mar 2020 13:00 |
Deposited On: | 05 Mar 2020 13:00 |
Repository Staff Only: item control page