Italian regional health system structure and expected cancer survival.

BACKGROUND AND AIMS: Few studies deal with the association of socioeconomic and health system resource variables with cancer survival at the Italian regional level, where the greatest number of decisions about social and health policies and resource allocations are taken. The present study aimed to describe the causal relationships between socioeconomic and health system resource factors and regional cancer survival and to compute the expected cancer survival at provincial, regional and area levels. METHODS AND STUDY DESIGN: Age-standardized relative survival at 5 years from diagnosis of cases incident in 1995-1998 and followed up to 2004 were derived by gender for 11 sites from the Italian Association of Cancer Registries data bank. The socioeconomic and health system resource variables, describing at a regional level the macro-economy, demography, labor market, and health resources for 1995-2005, came from the Health for All database. A principal components factor analysis was applied to the socioeconomic and health system resource variables. For every site, linear regression models were computed considering the relative survival at 5 years as a dependent variable and the principal components factor analysis factors as independent variables. RESULTS: The factors described the socioeconomic and health-related features of the regional systems and were causally related to the characteristics of the patient taken in charge. The models built by the factors allowed computation of the expected relative survival at 5 years with very good concordance with those observed at regional, macro-regional and national levels. In the regions without any cancer registry, survival was coherent with that of neighboring regions with similar socioeconomic and health system resources characteristics. CONCLUSIONS: The models highlighted the causal correlations between socioeconomic and health system resources and cancer survival, suggesting that they could be good evaluation tools for the efficiency of the resources allocation and use.

Estimates of cancer burden in Basilicata and Calabria.

AIMS AND BACKGROUND: Basilicata and Calabria are two neighboring, low income regions of southern peninsular Italy with an overall population of about 2.5 million in 2010. Cancer registration has covered the entire Basilicata population since 2005 and the province of Catanzaro (18.3% of the Calabria population) since 2003. This paper will provide estimates and projections for the period 1970-2015 of the basic epidemiological indicators - incidence, prevalence and mortality - in the Basilicata and Calabria regions for the major cancers (lung, colon and rectum, stomach, skin mela-noma, breast, cervix and prostate). METHODS: The indicators were estimated by applying the MIAMOD statistical back-calculation method to the 1970-2002 official mortality data, and to the 1985-2002 relative survival data collected by population-based registries of the southern regions of Italy. RESULTS: The incidence rates were estimated to be still rising for breast, prostate and colorectal cancer, and for skin melanoma in men. By contrast, they were estimated to be declining for cervix and stomach cancer. The incidence increased, reaching a peak, and subsequently decreased for lung cancer in men and for skin melanoma in women. The age-standardized mortality rates were estimated to decrease for all considered cancers except prostate cancer in men and lung cancer in women, which presented quite stable mortality rates from the mid 2000s onwards. Except for cervix cancer, prevalence was increasing for all considered cancers, particularly those of the breast and prostate. CONCLUSION: These data support the need for health policies focused on primary and secondary prevention, which is the main way to reduce the overall impact of cancer and to preserve health care resources, as well as on actions aimed at ensuring equal access to cancer care and at transferring innovation into clinical practice.

Estimates of cancer burden in Sicily.

AIMS AND BACKGROUND: Estimates are complementary epidemiological measures which allow to present data on cancer burden, especially in geographical areas where measurements of cancer occurrence are not supported by exhaustive statistics on incidence, mortality and survival. The aim of this paper is to provide cancer incidence, mortality and prevalence estimates and projections for the major cancers in the period 1970-2015 for the entire region of Sicily. METHODS: The estimates were computed by applying the MIAMOD method, a statistical back-calculation approach to derive incidence and prevalence figures starting from mortality and relative survival data. Published data from the Italian cancer registries were modeled in order to estimate the regional cancer survival. RESULTS: In 2012 the most common cancers were breast cancer in women, colorectal cancer in both sexes, and prostate cancer in men, with about 4,000, 3,500 and 3,000 estimated new cases, respectively. The highest crude mortality rates were estimated for lung cancer in men (63.6 per 100,000) and breast cancer in women (30.8 per 100,000) and the lowest for skin melanoma (both sexes) and cancer of the cervix uteri. For colorectal, lung and stomach cancer and skin melanoma, all the indicators were higher in men than women. The prevalence figures in women were more than 9 times the incidence figures for breast cancer and more than 10 times the incidence figures for skin melanoma. The prevalence was twice the incidence for lung cancer in both sexes. The prevalence increased for all the considered cancers except cervical cancer. CONCLUSION: According to our analyses in Sicily we expect about 14,000 new diagnoses and 5,500 deaths for the major cancer types in a year, while about 92,000 persons with a diagnosis of the considered cancers were alive in 2012. We expect an increase in cancer survival and contemporary aging of the population: both expectations will inflate the cancer prevalence, causing more demand for oncology facilities.

Estimates of cancer burden in Italy.

AIMS AND BACKGROUND: This paper presents updated estimates of the incidence, prevalence and mortality of stomach, colorectal, lung, breast, uterine cervix and prostate cancer and skin melanoma in the Italian population. In particular, point estimates for 2012 and time trends from 1970 to 2015 will be provided. METHODS: The presented figures were obtained by summing up the regional epidemiological indicator estimates presented in the other papers of this monographic issue, which were derived by applying the MIAMOD statistical back-calculation method to cancer registries survival data and official mortality rates. RESULTS: Our findings indicate that breast, colon-rectum and prostate will be the cancer sites with the highest incidence rates in the forthcoming years. The incidence rates still tend to increase for breast, male colorectal cancer and female lung cancer as well as for skin melanoma. By contrast, the incidence of stomach cancer, cervical cancer and male lung cancer, by far the most common tumor sites up to the early 1990s, will continue to decrease. The mortality estimates showed a decreasing trend for all considered cancers with the only exception of lung cancer in women. CONCLUSION: These results point to the need to reinforce prevention activities by developing more effective preventive measures for population groups at risk. There is also a need to support timely and continuous cancer surveillance in the Italian population through cancer registries in order to monitor the spread of the cancer risk and to evaluate the impact of prevention policies and therapeutic advances.

Cancer burden estimates and forecasts: uses and cautions.

Incidence, prevalence and mortality indicators, as provided in this monographic issue for each of the Italian regions and for the major cancers (stomach, colorectal, lung, breast, uterine cervix, prostate cancer and skin melanoma), provide necessary information for cancer control activities. In Italy, these activities are mainly organized on a regional level. Incidence depends on the distribution of risk factors in the population and is monitored to assess the efficacy of primary prevention programs as well as to measure the effect of screening activities. Mortality is a summary indicator incorporating the effects of both occurrence and survival. Finally, the prevalence of people with a diagnosis of cancer within a population is a direct measure of the demand for health care and social services. When taken separately, each of these indicators provides a partial view of the cancer phenomenon and should therefore be interpreted with caution. In this paper we give some examples of the uses of these indicators, and also of the interpretation difficulties by relating the regional cancer incidence to tobacco use, overweight and residence in polluted sites. We comment on the observed mortality trends in terms of their contribution to incidence and survival. We associate the estimated trends in cancer prevalence from 1990 to 2015 with the gross domestic product, an indicator of the resources available in Italy. The simultaneous consideration of all three indicators, as was done throughout this monograph by means of a unique methodology, is suggested for public health use.

Variations in cancer survival and patterns of care across Europe: roles of wealth and health-care organization.

Cancer survival varies markedly across Europe. We analyzed variations in all-cancer 5-year relative survival in relation to macroeconomic and health-care indicators, and 5-year relative survival for three major cancers (colorectal, prostate, breast) in relation to application of standard treatments, to serve as baseline for monitoring the efficacy of new European initiatives to improve cancer survival. Five-year relative survival data were from the European cancer registry-based study of cancer patients' survival and care (EUROCARE-4). Macroeconomic and health system data were from the Organisation for Economic Co-operation and Development, and European Observatory on Health Care Systems. Information on treatments given was from EUROCARE studies. Total national health spending varied widely across Europe and correlated linearly with survival (R = 0.8). Countries with high spending had high numbers of diagnostic and radiotherapy units, and 5-year relative survival was good (>50%). The treatments given for major cancers also varied; advanced stage at diagnosis was associated with poor 5-year relative survival and low odds of receiving standard treatment for breast and colorectal cancer.

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

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 (R(2) 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.

Regional inequalities in cancer care persist in Italy and can influence survival.

BACKGROUND: Population-based cancer registry studies of care patterns can help elucidate reasons for the marked geographic variation in cancer survival across Italy. The article provides a snapshot of the care delivered to cancer patients in Italy. METHODS: Random samples of adult patients with skin melanoma, breast, colon and non-small cell lung cancers diagnosed in 2003-2005 were selected from 14 Italian cancer registries. Logistic models estimated odds of receiving standard care (conservative surgery plus radiotherapy for early breast cancer; surgery plus chemotherapy for Dukes C colon cancer; surgery for lung cancer; sentinel node biopsy for >1mm melanoma, vs. other treatment) in each registry compared to the entire sample (reference). RESULTS: Stage at diagnosis for breast, colon and melanoma was earlier in north/central than southern registries. Odds of receiving standard care were lower than reference in Sassari (0.68, 95%CI 0.51-0.90) and Napoli (0.48, 95%CI 0.35-0.67) for breast cancer; did not differ across registries for Dukes C colon cancer; were higher in Romagna (3.77, 95%CI 1.67-8.50) and lower in Biella (0.38, 95%CI 0.18-0.82) for lung cancer; and were higher in Reggio Emilia (2.37, 95%CI 1.12-5.02) and lower in Ragusa (0.27, 95%CI 0.14-0.54) for melanoma. CONCLUSIONS: Notwithstanding limitations due to variations in the availability of clinical information and differences in stage distribution between north/central and southern registries, our study shows that important disparities in cancer care persist across Italy. Thus the public health priority of reducing cancer survival disparities will not be achieved in the immediate future.

Differences in stage and treatment of breast cancer across Italy point to inequalities in access to and availability of proper care.

AIMS AND BACKGROUND: Population-based cancer registry studies of patterns of care can help elucidate reasons for differences in breast cancer survival across Italy documented by previous studies. The aims of the present study were to investigate across-country variation in stage at presentation and standard care for breast cancer cases diagnosed in Italy in the early 2000s. METHODS: Samples of adult (≥ 15 years) women with breast cancer diagnosed in 2003-2005 were randomly selected in 9 Italian cancer registries. Logistic regression models were used to estimate the odds of receiving breast-conserving surgery plus radiotherapy (BCS + RT) in each cancer registry, age group, and disease stage category compared with the entire sample (reference); the z test was used to evaluate differences in proportions of stage at diagnosis, employment of chemotherapy in node-positive (N+) disease, and use of endocrine treatment in estrogen-receptor positive (ER+) and negative (ER-) tumors across Italy. RESULTS: Stage at diagnosis was earlier in northern/central registries than in southern areas. Compared with the reference, the odds of receiving BCS + RT was significantly lower in Trapani, Sassari and Naples (southern Italy) after adjusting for age and stage at diagnosis. Among N+ patients, 73% received adjuvant chemotherapy (range, 51% [Biella, northern Italy] to 87% [Ragusa, southern Italy]). Eighty percent of ER+ cancers (range, 50% [Biella, northern Italy] to 97% [Ragusa, southern Italy]) and 18% of ER- cancers (range, 6% [Modena, northern Italy] to 28% [Umbria, central Italy]) were treated with hormonal therapy. CONCLUSIONS: Disparities in stage distributions and conservative surgery in breast cancer persist across Italy. On a positive note, we found lower variations in the use of systemic treatment between Italian regions.

Use of socio-economic factors and healthcare resources to estimate cancer survival in European countries with partial national cancer registration.

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.

Cancer control-planning and monitoring population-based systems.

Cancer is a growing global health issue, and many countries are ill-prepared to deal with their current cancer burden let alone the increased burden looming on the horizon. Growing and aging populations are projected to result in dramatic increases in cancer cases and cancer deaths particularly in low- and middle-income countries. It is imperative that planning begin now to deal not only with those cancers already occurring but also with the larger numbers expected in the future. Unfortunately, such planning is hampered, because the magnitude of the burden of cancer in many countries is poorly understood owing to lack of surveillance and monitoring systems for cancer risk factors and for the documentation of cancer incidence, survival and mortality. Moreover, the human resources needed to fight cancer effectively are often limited or lacking. Cancer diagnosis and cancer care services are also inadequate in low- and middle-income countries. Late-stage presentation of cancers is very common in these settings resulting in less potential for cure and more need for symptom management. Palliative care services are grossly inadequate in low- and middle-income countries, and many cancer patients die unnecessarily painful deaths. Many of the challenges faced by low- and middle-income countries have been at least partially addressed by higher income countries. Experiences from around the world are reviewed to highlight the issues and showcase some possible solutions.

Cancer survival in the elderly: effects of socio-economic factors and health care system features (ELDCARE project).

The purpose of the ELDCARE project is to study differences in cancer survival for elderly patients by country, taking into account the socio-economic conditions and the characteristics of health care systems at the ecological level. Fifty-three European cancer registries, from 19 countries, participating in the EUROCARE 3 programme, collected information to compute relative survival on patients aged 65-84 years, diagnosed over the period 1990-1994. National statistics offices provided the macro-economic and labour force indicators (gross domestic product, total health expenditure, and proportion of people employed in the agriculture sector) as well as the features of national health care systems. Survival for several of the cancer sites had high positive Pearson's correlations (r) with the affluence indicators (usually r>0.7), but survival for the poor prognosis cancers (lung, ovary, stomach) and for cervix uteri was not so well correlated. Among the medical resources considered, the number of computed tomography scanners was the variable most related to survival in the elderly; the number of total health practitioners in the country did not show any relationship. Survival was related to the marital status of elderly women more strongly than for men and younger people. The highest correlations of survival with the percentage of married elderly women in the population were for cancers of the rectum (r=0.79) and breast (r=0.66), while survival correlated negatively with the proportion of widows for most cancers. Being married or widowed is for elderly people, in particular elderly women, an important factor influencing psychological status, life habits and social relationships. Social conditions could play a major role in determining health outcomes, particularly in the elderly, by affecting access to health care and delay in diagnosis.

Socio-economic factors and health care system characteristics related to cancer survival in the elderly. A population-based analysis in 16 European countries (ELDCARE project).

The ELDCARE study aims to investigate, at the ecological level, the relationships between socio-economic variables and cancer survival in patients aged 65 years and over. Survival data for patients diagnosed during the period 1985-1989 and followed up to 1994 were provided by 43 European Cancer Registries in 16 countries participating in the EUROCARE 2 project. Relative survival was computed by Hakulinen's methods. Data on socio-economic factors were collected by national statistics offices for the years around 1991. Pearson's correlation was used to study the relationships between cancer survival and socio-economic factors. We selected four groups of variables. The first group included macro-economic variables (such as Gross Domestic Product, GDP; Total Health Expenditure, THE); the second, the main characteristics of national health care systems; the third, demographic factors; and the fourth, variables on labour market organisation. The countries with the largest proportions of elderly populations, in Northern and Western Europe, spent more on health than the less affluent countries of Eastern Europe. GDP was strongly related to THE but a very high variability in Computed Tomography Scanners (CTS) among countries with similar THE was observed. Indeed, those countries with THE around US 1500 dollars per capita had survival rates for breast cancer ranging from 67 to 82%. Cancer survival in elderly patients in Europe was most strongly related to GDP and THE, especially for good prognosis cancers. Survival was strongly correlated with health care technologies, particularly CTS, but not with health employment. Survival was positively correlated with proportion of married elderly people (and negatively with widowed elderly), suggesting a role played by social support in influencing the prognosis of elderly patients. These results highlight how health outcomes in the elderly are a complex phenomenon, not determined only by GDP and THE, but affected by social organisation and life habits as well as economic development conditions.