177,098 research outputs found
Useful indicators to interpret the cancer burden in Italy.
No full textIntroduction. In the last decades the demographics of most Western countries have undergone a deep transformation, which has caused a steady increase in degenerative chronic diseases and has made maintaining health and social support by the welfare system difficult. This paper aims to present a set of indicators pertaining to the health status of the Italian population and to the national economic and social systems, as an aid to a better interpretation of the cancer burden impact and of its future tendencies. Material and methods. All indicators were derived from the ISTAT Health for All database. They were presented by region or macro area, globally or by gender, considering the most recent regional distribution and their time trends. The following features of the Italian population were chosen: percent of people aged over 65 years; life expectancy at birth; birth rate; crude and age-standardized overall mortality rates; dependency ratio; percent of single persons; percent of people with no more than a junior high school diploma; percent of people attaining at least the short first university degree; percent of people employed in the service and tertiary sectors; unemployment rate; incidence of poverty; total health expenditure (THE) as an absolute value and as percent of GDP; percent of public THE; percent of out-of-pocket THE of households; percent of smokers; proportion of overweight and obese people aged ≥18 years. Results. Italy presented an unbalanced demographic situation with an increasingly old population, a decreasing middle-aged age group, a low birth rate, high crude overall mortality rates, and decreasing standardized overall mortality rates. The Italian population is characterized by a constant increase in the dependency ratio and in the percentage of people living alone, together with increasing expenses for health care, both at the public and households levels. Smoking has reduced its impact in men but not yet in women. The increasing proportion of overweight and obese people may explain the convergence in time of the mortality rates of the different Italian macro areas. Discussion and conclusion. The Italian situation seems to be not well fitted to face the expected growing cancer burden. Along with the aging of the population, the corresponding lowering of the national GDP due to the persisting global economic crisis will lead the public sector and families to reduce health expenditure, while the number of people affected by cancer is bound to increase. Moreover, the social support provided by family members and the advantages of the Mediterranean dietary habits are declining. The strategies for facing the challenging evolution of the future should focus on successful primary prevention and a wider application of evidence-based medicine to optimize the choice of diagnostic and therapeutic procedures offered to citizens
Capitolo III. Stato di salute e indici di deprivazione in Liguria.
No full textdeprivation index & healt
Procedura di validazione per confronto dell’Indice di Deprivazione Regionale ligure rispetto all’Indice di Deprivazione Nazionale italiano tramite l’analisi della sopravvivenza delle pazienti affette da tumore della mammella nel comune di Genova.
No full textIndici di deprivazione a confronto sulla sopravvivenza per cancr
Metodi di stima della sopravvivenza nazionale per tumore in nazioni parzialmente coperte da registrazione.
No full textcancer survival - estimate method
Comparison between the Ligurian regional and the Italian National Deprivation indexes using the survival of breast cancer patients of Genova municipality: a validation procedure.
No full textCancer & deprivation indexe
Evaluation of colorectal and breast tumours incidence on the basis of deprivation in the areas of Genoa province other than the city.
No full textcolorectal and breast tumours incidence - deprivatio
Models for estimating cancer survival rates in the italian regions by mean sod socio-economic and health-related ecological variables.
No full textModels for estimating cancer survival rate
Use of socio-economic factors and healthcare resources to estimate cancer survival in European countries with partial national cancer registration.
No full textAbstract
BACKGROUND AND AIMS: Cancer is a chronic disease whose clinical history has a strong relationship with socio-economic indicators, and it could be defined as a real "social disease". For this reason, socio-economic factors can be used to project survival rates by means of ecological models. The present study had two main aims: to generalize to all adult patients study of the association between survival and socio-economic and healthcare technologies and related medical resources factors; to provide insights on the possible bias in giving national meaning to survival rates based on pools of regional cancer registries where national coverage is not available.
MATERIAL AND METHODS: The EUROCARE 3 Study provided age-standardized survival rates at 5 years from the diagnosis for 10 major cancer sites collected by 52 cancer registries from 21 European countries for the period 1990-1994. For each area and country, socio-economic and health-related variables were collected for the period 1993-1995. Multiple linear regression models were used to compute predicted survival rates in countries totally covered by registration, starting from the correlation between socio-economic and health-related variables and observed survival rates. For those areas not totally covered by cancer registry activity, a correctional parameter coming from the previous linear regression models was computed in order to estimate survival at a national level also in these countries.
RESULTS: Predicted survival rates were very close to the observed rates for countries totally covered by cancer registries. The estimates were also good for nations with partial national cancer registration, with less convergence in results for countries where socio-economic differences between the whole territory and the covered area were relevant.
CONCLUSIONS: In the light of these findings, evaluation of the role of socio-economic and health-related factors and the estimation of survival is of utmost importance in order to evaluate healthcare outcomes and to support planners in allocating resources in a more effective and egalitarian way
Methods to estimate national survival for different cancer sites in nations only partially covered by cancer registration.
No full textMethods to estimate national survival for different cancer sites in nations only partially covered by cancer registratio
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