Use of SERTS (Socio-Economic, health Resources and Technologic Supplies) models to estimate cancer survival at provincial geographical level

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• 作者：Marina Vercelli^a ; ^b ; ^{marina.vercelli@istge.it} ; Roberto Lillini^a ; ^c ; Riccardo Capocaccia^d ; Alberto Quaglia^a ; SEIH (Socio-Economic Indicators ; Health) Working Group & AIRTUM contributors ¹
• 关键词：Cancer survival ; Socioeconomic variables ; Health system resources ; Estimation models
• 刊名：Cancer Epidemiology
• 出版年：2012
• 出版时间：December, 2012
• 年：2012
• 卷：36
• 期：6
• 页码：566-574
• 全文大小：1918 K

文摘

Aim

The main aim of this work is to compute expected cancer survival for Italian provinces by Socio-Economic and health Resources and Technologic Supplies (SERTS) models, based on demographic, socioeconomic variables and information describing the health care system (SEH).

Methods

Five-year age-standardised relative survival rates by gender for 11 cancer sites and all cancers combined of patients diagnosed in 1995-1999, were obtained from the Italian Association of Cancer Registries (CRs) database. The SEH variables describe at provincial level macro-economy, demography, labour market, health resources in 1995-2005. A principal components factor analysis was applied to the SEH variables to control their strong mutual correlation. For every considered cancer site, linear regression models were estimated considering the 5-RS % as dependent variable and the principal components factors of the SEH variables as independent variables.

Results

The model composition was correlated to the characteristics of take in charge of patients. SEH factors were correlated with the observed survival for all cancer combined and colon-rectum in both sexes, prostate, kidney and non Hodgkin's lymphomas in men, breast, corpus uteri and melanoma in women (R² from 40 % to 85 % ). In the provinces without any CR the survival was very similar with that of neighbouring provinces with analogous social, economic and health characteristics.

Conclusions

The SERTS models allowed us to interpret the survival outcome of oncologic patients with respect to the role of the socio-economic and health related system characteristics, stressing how the peculiarities of the take in charge at the province level could address the decisions regarding the allocation of resources.