Equity in the recovery of elective and oncological surgery volumes after the COVID-19 lockdown: a multicentre cohort study in Italy.

BACKGROUND: The COVID-19 pandemic has had, and still has, a profound impact on national health systems, altering trajectories of care and exacerbating existing inequalities in health. Postponement of surgeries and cancellation of elective surgical procedures have been reported worldwide. In Italy, the lock-down measures following the COVID-19 pandemic caused cancellations of surgical procedures and important backlogs; little is known about potential social inequalities in the recovery process that occurred during the post-lockdown period. This study aims at evaluating whether all population social strata benefited equally from the surgical volumes' recovery in four large Italian regions. METHODS: This multicentre cohort study covers a population of approximately 11 million people. To assess if social inequalities exist in the recovery of eight indicators of elective and oncological surgery, we estimated Risk Ratios (RR) through Poisson models, comparing the incidence proportions of events recorded during COVID-19 (2020-21) with those in pre-pandemic years (2018-19) for each pandemic period and educational level. RESULTS: Compared to 2018-19, volumes of elective surgery showed a U-shape with the most significant drops during the second wave or the vaccination phase. The recovery was socially unequal. At the end of 2021, incidence proportions among highly educated people generally exceeded the expected ones; RRs were 1.31 (95%CI 1.21-1.42), 1.24 (95%CI 1.17-1.23), 1.17 (95%CI 1.08-1.26) for knee and hip replacement and prostatic surgery, respectively. Among low educated patients, RR remained always < 1. Oncological surgery indicators showed a similar social gradient. Whereas volumes were preserved among the highly educated, the low educated were still lagging behind at the end of 2021. CONCLUSIONS: Surgical procedures generally returned to pre-pandemic levels but the low educated experienced the slowest recovery. An equity-oriented appraisal of trends in healthcare provision should be included in pandemic preparedness plans, to ensure that social inequalities are promptly recognised and tackled.

SARS-CoV-2 spread and area economic disadvantage in the italian three-tier restrictions: a multilevel approach.

BACKGROUND: To face the second wave of COVID-19, Italy implemented a tiered restriction system with different limitation levels (yellow = medium; orange = medium-high, red = high) at the beginning of November 2020. The restrictions systematically reduced the transmission of SARS-CoV-2 with increasing strength for increasing tier. However, it is unknown whether the effect of limitations was equal between provinces with different socioeconomic levels. Therefore, we investigated the association between the province's socioeconomic level and SARS-CoV-2 infection daily reproduction number in each restriction level. METHODS: We measured the province's socioeconomic level as the percentage of individuals whose 2019 total yearly income was lower than 10,000€, using the measure as a proxy of economic disadvantage. We estimated the daily reproduction number (Rt) at the province level using the SARS-CoV-2 daily incidence data from November 2020 to May 2021. We then used multilevel linear regression models with random intercepts stratified by restriction level to estimate the association between economic disadvantage and Rt. We also adjusted the analyses for potential confounders of the association between the province's economic disadvantage and the Rt: the percentage of people with 0-5 years, the quartiles of population density, and the geographical repartition. RESULTS: Overall, we found increasing Rt in yellow (+ 0.004 p < 0.01, from Rt = 0.99 to 1.08 in three weeks) and containing effects for the orange (-0.005 p < 0.01, from Rt = 1.03 to 0.93) and the red tier (-0.014 p < 0.01, from Rt = 1.05 to 0.76). More economically disadvantaged provinces had higher Rt levels in every tier, although non-significantly in the yellow level (yellow = 0.001 p = 0.19; orange = 0.002 p = 0.02; red = 0.004 p < 0.01). The results showed that the association between economic disadvantage and Rt differed by level of restriction. The number of days into the restriction and the economic disadvantage had statistically significant interactions in every adjusted model. Compared to better off, more economically disadvantaged provinces had slower increasing trends in yellow and steeper Rt reductions in orange, but they showed slower Rt reductions in the highest tier. CONCLUSION: Lower tiers were more effective in more economically disadvantaged provinces, while the highest restriction level had milder effects. These results underline the importance of accounting for socioeconomic level when implementing public health measures.

Socioeconomic inequalities in health status and survival: a cohort study in Rome.

OBJECTIVES: To analyse the association between individual and contextual socioeconomic position (SEP) with health status and to investigate the role of SEP and baseline health status on survival. DESIGN: Cross-sectional and cohort study. SETTING: Rome, Italy. PARTICIPANTS, PRIMARY AND SECONDARY OUTCOMES: We selected the 25-99 year-olds included in the Rome 2011 census cohort. As a measure of health status on the census reference date (09 October 2011), we used the presence of chronic or rare conditions from the Disease-Related Co-payment Exemption Registry, a database implemented to provide free care to people with chronic or rare diseases. We used logistic regression to analyse the association between both individual (educational attainment) and contextual SEP (neighbourhood real estate price quintiles) with baseline health status. We analysed the role of SEP and the presence of chronic or rare conditions on 5-year survival (until 31 December 2016) using accelerated failure time models with Weibull distribution, reporting time ratios (TRs; 95% CI). RESULTS: In middle-aged, subjects with low SEP (either individual or contextual) had a prevalence of chronic conditions comparable with the prevalence in high SEP individuals 10 years older. Adjusted logistic models confirmed the direct association between SEP and baseline health status in both women and men. The lowest educated were up to 67% more likely to have a chronic condition than the highest educated, while the difference was up to 86% for lowest versus highest contextual SEP. Low SEP and the presence of chronic conditions were associated with shorter survival times in both sexes, lowest versus highest educated TR was TR=0.79 for women (95% CI: 0.77 to 0.81) and TR=0.71 for men (95% CI: 0.70 to 0.73). The contextual SEP shrunk survival times by about 10%. CONCLUSION: Inequalities were present in both baseline health and survival. The association between SEP and survival was independent of baseline health status.

Indirect impact of the COVID-19 pandemic and its containment measures on social inequalities in hospital utilisation in Italy.

BACKGROUND: The pandemic may undermine the equity of access to and utilisation of health services for conditions other than COVID-19. The objective of the study is to evaluate the indirect impact of COVID-19 and lockdown measures on sociodemographic inequalities in healthcare utilisation in seven Italian areas. METHODS: In this multicentre retrospective study, we evaluated whether COVID-19 modified the association between educational level or deprivation and indicators of hospital utilisation and quality of care. We also assessed variations in gradients by sex and age class. We estimated age-standardised rates and prevalence and their relative per cent changes comparing pandemic (2020) and pre-pandemic (2018-2019) periods, and the Relative Index of Inequalities (RIIs) fitting multivariable Poisson models with an interaction between socioeconomic position and period. RESULTS: Compared with 2018-2019, hospital utilisation and, to a lesser extent, timeliness of procedures indicators fell during the first months of 2020. Larger declines were registered among women, the elderly and the low educated resulting in a shrinkage (or widening if RII <1) of the educational gradients for most of the indicators. Timeliness of procedures indicators did not show any educational gradient neither before nor during the pandemic. Inequalities by deprivation were nuanced and did not substantially change in 2020. CONCLUSIONS: The socially patterned reduction of hospital utilisation may lead to a potential exacerbation of health inequalities among groups who were already vulnerable before the pandemic. The healthcare service can contribute to contrast health disparities worsened by COVID-19 through more efficient communication and locally appropriate interventions.

Educational Inequalities in COVID-19 Vaccination: A Cross-Sectional Study of the Adult Population in the Lazio Region, Italy.

Several studies reported socioeconomic inequalities during the COVID-19 pandemic. We aimed at investigating educational inequalities in COVID-19 vaccination on 22 December 2021. We used the cohort of all residents in the Lazio Region, Central Italy, established at the beginning of the pandemic to investigate the effects of COVID-19. The Lazio Region has 5.5 million residents, mostly distributed in the Metropolitan Area of Rome (4.3 million inhabitants). We selected those aged 35 years or more who were alive and still residents on 22 December 2021. The cohort included data on sociodemographic, health characteristics, COVID-19 vaccination (none, partial, or complete), and SARS-CoV-2 infection. We used adjusted logistic regression models to analyze the association between level of education and no vaccination. We investigated 3,186,728 subjects (54% women). By the end of 2021, 88.1% of the population was fully vaccinated, and 10.3% were not vaccinated. There were strong socioeconomic inequalities in not getting vaccinated: compared with those with a university degree, residents with a high school degree had an odds ratio (OR) of 1.29 (95% confidence interval, CI, 1.27-1.30), and subjects with a junior high or primary school attainment had an OR = 1.41 (95% CI: 1.40-1.43). Since a comprehensive vaccination against COVID-19 could help reduce socioeconomic inequalities raised with the pandemic, further efforts in reaching the low socioeconomic strata of the population are crucial.

Incidence of SARS-CoV-2 Infection and Related Mortality by Education Level during Three Phases of the 2020 Pandemic: A Population-Based Cohort Study in Rome.

Evidence on social determinants of health on the risk of SARS-CoV-2 infection and adverse outcomes is still limited. Therefore, this work investigates educational disparities in the incidence of infection and mortality within 30 days of the onset of infection during 2020 in Rome, with particular attention to changes in socioeconomic inequalities over time. A cohort of 1,538,231 residents in Rome on 1 January 2020, aged 35+, followed from 1 March to 31 December 2020, were considered. Cumulative incidence and mortality rates by education were estimated. Multivariable log-binomial and Cox regression models were used to investigate educational disparities in the incidence of SARS-CoV-2 infection and mortality during the entire study period and in three phases of the pandemic. During 2020, there were 47,736 incident cases and 2281 deaths. The association between education and the incidence of infection changed over time. Till May 2020, low- and medium-educated individuals had a lower risk of infection than that of the highly educated. However, there was no evidence of an association between education and the incidence of SARS-CoV-2 infection during the summer. Lastly, low-educated adults had a 25% higher risk of infection from September to December than that of the highly educated. Similarly, there was substantial evidence of educational inequalities in mortality within 30 days of the onset of infection in the last term of 2020. In Rome, social inequalities in COVID-19 appeared in the last term of 2020, and they strengthen the need for monitoring inequalities emerging from this pandemic.

Mortality inequalities by occupational status and type of job in men and women: results from the Rome Longitudinal Study.

OBJECTIVES: Socioeconomic inequalities have a strong impact on population health all over the world. Occupational status is a powerful determinant of health in rich societies. We aimed at investigating the association between occupation and mortality in a large metropolitan study. DESIGN: Cohort study. SETTING: Rome, capital of Italy. PARTICIPANTS: We used the Rome Longitudinal Study, the administrative cohort of residents in Rome at the 2001 general census, followed until 2015. We selected residents aged 15-65 years at baseline. For each subject, we had information on sex, age and occupation (occupational status and type of job) according to the Italian General Census recognition. MAIN OUTCOME MEASURES: We investigated all-cause, cancer, cardiovascular and accidental mortality, major causes of death in the working-age population. We used Cox proportional hazards models to investigate the association between occupation and all-cause and cause-specific mortality in men and women. RESULTS: We selected 1 466 726 subjects (52.1% women). 42 715 men and 29 915 women died during the follow-up. In men, 47.8% of deaths were due to cancer, 26.7% to cardiovascular causes and 6.4% to accidents, whereas in women 57.8% of deaths were due to cancer, 19.3% to cardiovascular causes and 3.5% to accidents. We found an association between occupational variables and mortality, more evident in men than in women. Compared with employed, unemployed had a higher risk of mortality for all causes with an HR=1.99 (95% CI 1.92 to 2.06) in men and an HR=1.49 (95% CI 1.39 to 1.60) in women. Compared with high-qualified non-manual workers, non-specialised manual workers had a higher mortality risk (HR=1.68, 95% CI 1.59 to 1.77 and HR=1.30, 95% CI 1.20 to 1.40, for men and women, respectively). CONCLUSIONS: This study shows the importance of occupational variables as social health determinants and provides evidence for policy-makers on the necessity of integrated and preventive policies aimed at improving the safety of the living and the working environment.

[Mortality inequalities in Rome: the role of individual education and neighbourhood real estate market]. / Differenziali di mortalità a Roma: il ruolo dell'istruzione e dei prezzi immobiliari del quartiere di residenza.

OBJECTIVES: to investigate the association between real estate prices, education, and mortality. DESIGN: cohort study. SETTING AND PARTICIPANTS: residents in Rome at the 2011 Italian Census, not living in institutions, and living in the address reported in the Census survey. People aged 18-99 years were followed from 2011 to 2016 using anonymous record linkage procedures with administrative databases. The Census includes several individual information, such as gender, age, education, residential neighbourhood. Data and cause of death were collected from mortality register. Real estate prices (euros/m2) were available for each neighbourhood. MAIN OUTCOME MEASURES: adjusted Cox regression models (hazard ratios - HRs and 95%CIs) were used to estimate the association among individual education, real estate price in the neighbourhood, and mortality. RESULTS: the subjects selected were 2,051,376 (54% women, 22.5% with high education level). During the follow-up, 127,352 subjects died. Taking into account gender, age, marital status, and real estate prices, education level was strongly associated with all-cause mortality; compared to highly educated the higher mortality, risk was 35% (95%CI 32%-37%) for low education level and 16% (95%CI 14%-19%) for medium education level. Taking into account the same factors and education level, each increase of 1,000 euros in price/m2 was inversely associated with mortality (HR 0.96, 95%CI 0.96-0.97). CONCLUSIONS: there is an independent association between the two indicators and mortality in Rome. A simple indicator such as real estate prices can be used to tackle inequalities.

The Modifying Role of Socioeconomic Position and Greenness on the Short-Term Effect of Heat and Air Pollution on Preterm Births in Rome, 2001-2013.

Urban green spaces have been associated with health benefits, but few studies have evaluated the role of greenness on pregnancy outcomes. We examined how the association between short-term exposure to heat and air pollution on the probability of preterm delivery is affected by the spatial variation of socioeconomic position (SEP) and greenness. We analyzed a cohort of newborns in Rome, from April to October of 2001-2013, defining preterm as births between the 22nd and the 36th week of gestation. We used a time series approach, with maximum apparent temperature (MAT), PM10, NO2, and O3 as exposure variables. As greenness indicators, we considered maternal residential proximity to green spaces and the Normalized Difference Vegetation Index (NDVI) within a 100 m buffer around each woman's residential address. We enrolled 56,576 newborns (5.1% preterm). The effect of a 1 °C increase in temperature on the daily number of preterm births was higher in women with low SEP (+2.49% (90% CI: 1.29-3.71)) and among those living within 100 m from green spaces (+3.33% (90% CI: 1.82-4.87)). No effect modification was observed for NDVI or PM10. SEP was an important effect modifier of the heat-preterm birth relationship. The role of greenness in modifying this association between heat and preterm delivery should be further investigated.

Global estimates of mortality associated with long-term exposure to outdoor fine particulate matter.

Exposure to ambient fine particulate matter (PM2.5) is a major global health concern. Quantitative estimates of attributable mortality are based on disease-specific hazard ratio models that incorporate risk information from multiple PM2.5 sources (outdoor and indoor air pollution from use of solid fuels and secondhand and active smoking), requiring assumptions about equivalent exposure and toxicity. We relax these contentious assumptions by constructing a PM2.5-mortality hazard ratio function based only on cohort studies of outdoor air pollution that covers the global exposure range. We modeled the shape of the association between PM2.5 and nonaccidental mortality using data from 41 cohorts from 16 countries-the Global Exposure Mortality Model (GEMM). We then constructed GEMMs for five specific causes of death examined by the global burden of disease (GBD). The GEMM predicts 8.9 million [95% confidence interval (CI): 7.5-10.3] deaths in 2015, a figure 30% larger than that predicted by the sum of deaths among the five specific causes (6.9; 95% CI: 4.9-8.5) and 120% larger than the risk function used in the GBD (4.0; 95% CI: 3.3-4.8). Differences between the GEMM and GBD risk functions are larger for a 20% reduction in concentrations, with the GEMM predicting 220% higher excess deaths. These results suggest that PM2.5 exposure may be related to additional causes of death than the five considered by the GBD and that incorporation of risk information from other, nonoutdoor, particle sources leads to underestimation of disease burden, especially at higher concentrations.

Does chronic exposure to high levels of nitrogen dioxide exacerbate the short-term effects of airborne particles?

BACKGROUND: Long-term exposure to air pollutants has been hypothesised as a factor in susceptibility to short-term exposure to particulate matter (PM), but results are not coherent. We studied the short-term effects of PM10 on mortality and assessed whether long-term exposure to nitrogen dioxide (NO2) modifies this association. METHODS: We used a case-crossover design to evaluate daily PM10-related mortality among 124 432 35+ year-old participants who died in Rome between 2001 and 2010 and maintained the same address for at least 5 years before death. Modification of PM10-related mortality by long-term NO2 exposure was determined by two-way interaction, while a three-way interaction was used to assess effect modification of high NO2 levels in population groups defined by sociodemographic position and pre-existing diseases. RESULTS: Mortality increased by 0.82% (0.23-1.41%) for each 10 µg/m3 increase in PM10. Mortality rose by 1.22% (0.17-2.38%) in participants exposed to NO2 levels ≥50 µg/m3 and by 0.69% (0.03-1.34%) in those exposed to levels <50 µg/m3 with no effect modification (p-interaction 0.378). A suggestion of effect modification was seen in 85+-year-olds (3.10%; p-interaction 0.043), as well as in those with a pre-existing arrhythmia (3.26%; p-interaction 0.014) and chronic obstructive pulmonary disease (3.52%; p-interaction 0.042). CONCLUSIONS: Long-term exposure to NO2 is not likely to induce susceptibility to short-term PM10 exposure in the overall population. However, an effect modification of NO2 is probable in the elderly and in those suffering from arrhythmias and chronic obstructive pulmonary disease.

Education and Mortality in the Rome Longitudinal Study.

BACKGROUND: A large body of evidence supports an inverse association between socioeconomic status and mortality. We analysed data from a large cohort of residents in Rome followed-up between 2001 and 2012 to assess the relationship between individual education and mortality. We distinguished five causes of death and investigated the role of age, gender, and birthplace. METHODS: From the Municipal Register we enrolled residents of Rome on October 21st 2001 and collected information on educational level attained from the 2001 Census. We selected Italian citizens aged 30-74 years and followed-up their vital status until 2012 (n = 1,283,767), identifying the cause of death from the Regional Mortality Registry. We calculated hazard ratios (HRs) for overall and cause-specific mortality in relation to education. We used age, gender, and birthplace for adjusted or stratified analyses. We used the inverse probability weighting approach to account for right censoring due to emigration. RESULTS: We observed an inverse association between education (none vs. post-secondary+ level) and overall mortality (HRs(95%CIs): 2.1(1.98-2.17), males; 1.5(1.46-1.59), females) varying according to demographic characteristics. Cause-specific analysis also indicated an inverse association with education, in particular for respiratory, digestive or circulatory system related-mortality, and the youngest people seemed to be more vulnerable to low education. CONCLUSION: Our results confirm the inverse association between education and overall or cause-specific mortality and show differentials particularly marked among young people compared to the elderly. The findings provide further evidence from the Mediterranean area, and may contribute to national and cross-country comparisons in Europe to understand the mechanisms generating socioeconomic differentials especially during the current recession period.

Effect of socioeconomic position on patient outcome after hysterectomy.

OBJECTIVE: To investigate the association between socioeconomic position (assessed by education, employment and income) and complications following hysterectomy and assess the role of lifestyle, co-morbidity and clinical conditions on the relationship. DESIGN: Register-based cohort study. SETTING AND POPULATION: The study included nearly all Danish women (n = 22 150) registered with a benign elective hysterectomy in the Danish Hysterectomy Database in 2004-2008. METHODS: Data were analyzed using logistic regression models estimating the odds ratio with 95% confidence intervals. MAIN OUTCOME MEASURES: Complications following hysterectomy. RESULTS: Seventeen percent of the women experienced complications in relation to the hysterectomy. Women with less than high school education and unemployed women had higher odds of infection, complications and readmission than women with more than high school education and employed women. Furthermore, unemployed women had higher odds of hospitalization >4 days than women in employment. Lifestyle factors (smoking and body mass index) and co-morbidity status seemed to explain most of the social differences. However, an association between women with less than high school education and all complications remained unexplained. Furthermore, differences in lifestyle and co-morbidity status only partially explained the higher odds of infection, complications and hospitalization >4 days for unemployed than employed women. CONCLUSION: Women with a low socioeconomic position have significantly higher odds of complications following hysterectomy compared with women with a high socioeconomic position. Unhealthy lifestyle and presence of co-morbidity in women with low socioeconomic position partially explains the differences in complications.

Evaluation of different strategies for identifying asymptomatic left ventricular dysfunction and pre-clinical (stage B) heart failure in the elderly. Results from 'PREDICTOR', a population based-study in central Italy.

AIMS: To evaluate the accuracy and cost-effectiveness of different screening strategies to identify systolic and/or diastolic asymptomatic LV dysfunction (ALVD), as well as pre-clinical (stage B) heart failure (HF), in a community of elderly subjects in Italy. METHODS AND RESULTS: A sample of 1452 subjects aged 65-84 years were chosen from the original cohort of 2001 randomly selected residents of the Lazio Region (Italy), as a part of the PREDICTOR survey. All subjects underwent physical examination, biochemistry/NT-proBNP assessment, 12-lead ECG, and Doppler transthoracic echocardiography (TE). Five strategies were evaluated including ECG, NT-proBNP, TE, and their combinations. Subjects older than 75 years, and with at least two additional risk factors, were defined as being high-risk for HF (435), whereas the remaining 1017 were defined at low risk. Screening characteristics and cost-effectiveness (cost per case) of the five strategies to predict systolic (EF <50% ) or diastolic ALVD and pre-clinical HF (stage B) were compared. NT-proBNP was the most accurate and cost-effective screening strategy to identify systolic and moderate to severe diastolic LV dysfunction without a difference between the high-risk and low-risk groups. Adding ECG to the NT-proBNP assessment did not improve the detection of pre-clinical LV dysfunction. TE-based screening was the least cost-effective strategy. In fact, all screening strategies were inadequate to identify stage B HF. CONCLUSIONS: In a community of elderly people, NT-proBNP is the most accurate and cost- effective pre-screening strategy to identify systolic and moderate to severe diastolic LV dysfunction.

Socioeconomic position and health status of people who live near busy roads: the Rome Longitudinal Study (RoLS).

BACKGROUND: Subjects living close to high traffic roads (HTR) are more likely to suffer from air-pollution related morbidity and mortality. The issue has large public health consequences but few studies have described the main socio-demographic characteristics of people exposed to traffic. OBJECTIVES: To characterise a large cohort of residents in Rome according to different measures of traffic exposure, socioeconomic position (SEP), and baseline health status. METHODS: Residents of Rome in October 2001 were selected. Individual and area-based SEP indices were available. GIS was used to obtain traffic indicators at residential addresses: distance from HTR (> = 10,000 vehicles/day), length of HTR, average daily traffic count, and traffic density within 150 meters of home. Hospitalisations in the 5-year period before enrolment were used to characterise health status. Logistic and linear regression analyses estimated the association between traffic exposure and socio-demographic characteristics. RESULTS: We selected 1,898,898 subjects with complete SEP information and GIS traffic indicators. A total of 320,913 individuals (17%) lived within 50 meters of an HTR, and 14% lived between 50 and 100 meters. These proportions were higher among 75+ year-old subjects. Overall, all traffic indicators were directly associated with SEP, with people living in high or medium SEP areas or with a university degree more likely to be exposed to traffic than people living in low SEP areas or with a low level of education. However, an effect modification by area of residence within the city was seen and the association between traffic and SEP was reversed in the city centre. CONCLUSIONS: A large section of the population is exposed to traffic in Rome. Elderly people and those living in areas of high and medium SEP tend to be more exposed. These findings are related to the historical stratification of the population within the city according to age and socioeconomic status.

Income level and chronic ambulatory care sensitive conditions in adults: a multicity population-based study in Italy.

BACKGROUND: A relationship between quality of primary health care and preventable hospitalizations has been described in the US, especially among the elderly. In Europe, there has been a recent increase in the evaluation of Ambulatory Care Sensitive Conditions (ACSC) as an indicator of health care quality, but evidence is still limited. The aim of this study was to determine whether income level is associated with higher hospitalization rates for ACSC in adults in a country with universal health care coverage. METHODS: From the hospital registries in four Italian cities (Turin, Milan, Bologna, Rome), we identified 9384 hospital admissions for six chronic conditions (diabetes, hypertension, congestive heart failure, angina pectoris, chronic obstructive pulmonary disease, and asthma) among 20-64 year-olds in 2000. Case definition was based on the ICD-9-CM coding algorithm suggested by the Agency for Health Research and Quality - Prevention Quality Indicators. An area-based (census block) income index was used for each individual. All hospitalization rates were directly standardised for gender and age using the Italian population. Poisson regression analysis was performed to assess the relationship between income level (quintiles) and hospitalization rates (RR, 95% CI) separately for the selected conditions controlling for age, gender and city of residence. RESULTS: Overall, the ACSC age-standardized rate was 26.1 per 10.000 inhabitants. All conditions showed a statistically significant socioeconomic gradient, with low income people being more likely to be hospitalized than their well off counterparts. The association was particularly strong for chronic obstructive pulmonary disease (level V low income vs. level I high income RR = 4.23 95%CI 3.37-5.31) and for congestive heart failure (RR = 3.78, 95% CI = 3.09-4.62). With the exception of asthma, males were more vulnerable to ACSC hospitalizations than females. The risks were higher among 45-64 year olds than in younger people. CONCLUSIONS: The socioeconomic gradient in ACSC hospitalization rates confirms the gap in health status between social groups in our country. Insufficient or ineffective primary care is suggested as a plausible additional factor aggravating inequality. This finding highlights the need for improving outpatient care programmes to reduce the excess of unnecessary hospitalizations among poor people.

Temporal and geographic heterogeneity of the association between socioeconomic position and hospitalisation in Italy: an income based indicator.

BACKGROUND: The inverse association between socioeconomic position (SEP) and health has been extensively explored in Italy; however few studies have been carried out on the relationship between income inequalities and health status or health services utilisation, particularly at a local level.The objective of this study is to test the association between the demand for hospital care and a small area indicator based on income in four Italian cities, over a four-year period (1997-2000), in the adult population. METHODS: Census Block (median 260 residents) Median per capita Income (CBMI) was computed through record linkage between 1998 national tax and local population registries in the cities of Rome, Turin, Milan and Bologna (total population approximately 5.5 million). CBMI was linked to acute hospital discharges among residents, based on patient's residence.Age-standardized gender-specific hospitalisation rates were computed by CBMI quintiles (first quintile indicating lowest income), overall, and by city and year. Heterogeneity of the association between income level and hospitalisation was analysed through a Poisson model. RESULTS: We found an inverse association between small area income level and hospitalisation rates, which decreased continuously from 153 per 1000 inhabitants in the first quintile to 107 per 1000 inhabitants in the fifth quintile. Income differences in hospitalisation were confirmed in each city and year. However, the magnitude of the association and the absolute level of hospitalisation rates were quite different in each city and tended to slightly decrease over time in all cities considered, except Bologna. CONCLUSION: Our study confirms an inverse association between income level and the use of hospitalization in four Italian cities, using a small area economic indicator, based on population tax data. Further analysis of the association between income and cause-specific hospitalization rates will allow to better understand the capability of the Italian National Health System to compel with socio-economic inequalities in health needs.Furthermore the SEP indicator we propose can represent a contribution to the improvement of tools for monitoring inequalities in health and in health services utilization.

Socioeconomic differences in stroke incidence and prognosis under a universal healthcare system.

BACKGROUND AND PURPOSE: Low socioeconomic position (SEP) is associated with high overall stroke mortality, but its contribution to stroke prognosis is unclear. We evaluated socioeconomic disparities in stroke incidence and poststroke outcomes. METHODS: We collected hospital discharge and mortality data for all 35- to 84-year-old Rome residents who had a first acute ischemic or hemorrhagic stroke in 2001 to 2004. We used a small-area SEP index. We calculated age-adjusted incidence rates and rate ratios by SEP for fatal and nonfatal stroke subtypes using Poisson regression. Logistic regression was used to study outcomes by SEP (30-day mortality, and among 1-month survivors: 1-year mortality, hospital readmissions for a successive stroke, and cardiovascular diseases). RESULTS: A total of 10 033 incident strokes (75% ischemic) were observed. Incidence rates (per 100 000) for ischemic and hemorrhagic stroke were: 104 and 34 in men and 81 and 28 in women, respectively. There were socioeconomic disparities in stroke incidence in both genders (rate ratios between extreme SEP categories in ischemic and hemorrhagic stroke: 1.76; 95% CI,1.59 to 1.95; 1.50; 95% CI, 1.26 to 1.80 in men; 1.72; 95% CI, 1.55 to 1.91; 1.37; 95% CI, 1.15 to 1.63 in women). No association was found for SEP and mortality after stroke. Men with low SEP with an ischemic event were more likely to be hospitalized for a new stroke than men with high SEP. Women with low SEP with hemorrhagic stroke were more likely to be hospitalized for cardiovascular disease compared with women with high SEP. CONCLUSIONS: Stroke incidence strongly differs between socioeconomic groups reflecting a heterogeneous distribution of lifestyle and clinical risk factors. Strategies for primary prevention should target less affluent people.

[Socioeconomic disparities in mortality among older people in Sicily]. / Un indicatore comunale di posizione socioeconomica e mortalità nell'anziano in Sicilia.

OBJECTIVE: to construct a composite municipal index of socioeconomic position (SEP) and to describe socioeconomic disparities in mortality within Sicilian elderly inhabitants (age 65+). DESIGN: 2001 Sicily Census data were used to develop a 5-level SEP index for the 390 municipalities of the Region. Education, occupation, housing tenure, family composition and immigration were considered in order to perform a factor analysis. We used Sicilian Mortality Registry data to compute standardized mortality rates by gender. The SEP index was used for mortality from all causes and for most common causes of death in elderly population. Rates, with 95% confidence intervals, were computed to compare mortality in each level of SEP to the highest level. RESULTS: there were socioeconomic disparities both in overall and in cause-specific mortality. Progressively higher mortality rates with lower SEP were observed for overall mortality (ratio between extreme categories: 1.16 in men, 1.14 in women), as well for mortality from cardiovascular diseases in both genders (ratio between extreme categories: 1.12 in men, 1.09 in women), from respiratory disease in men (ratio between extreme categories: 1.20), and from endocrine glands diseases in women (ratio between extreme categories: 1.35). For deaths from cancer and from diseases of the digestive system mortalities, in both genders, we found higher risks within the lowest SEP level as compared to the highest. Cardiovascular diseases contributed the most to the socioeconomic differences in overall mortality. CONCLUSION: Within the Sicilian elderly population, socioeconomic position is associated with mortality. The highest mortality rates were observed in the most disadvantaged municipalities. Moreover, mortality rates were oddly distributed by gender.

[Objectives, tools and methods for an epidemiological use of electronic health archives in various areas of Italy]. / Obiettivi, strumenti e metodi per un utilizzo epidemiologico di archivi sanitari elettronici correnti in diverse aree italiane.

The availability of Electronic Health Archives (EHA) has increased remarkably over the last twenty years. As part of a joint project of the Italian Association of Epidemiology (AIE) and the Italian Association of Medical Statistics and Clinical Epidemiology (SISMEC), a workgroup of experts was set up in 2005 with the aim of comparing various experiences and of standardizing the procedures by which electronic sources can be integrated. In particular, the workgroup's aim was to estimate the frequency of certain major diseases using standard algorithms applied to EHA. This volume is published with the purpose of making available in a common publication the methods and the results obtained. The results from a multicentre study using a standard approach to probabilistic record-linkage procedures are also included in a specific chapter. Eleven Italian centres from five Italian regions with an overall population of 11,932,026 collected and treated more than 21,374,426 records (year 2003) from five electronic information sources: death certificates, hospital discharge records (including outpatient discharges), drug prescriptions, tax- exemptions, and pathology records in order to estimate the frequency of the following diseases: diabetes, ischemic heart diseases, acute myocardial infarction, stroke, asthma, chronic obstructive pulmonary disease, obstructive lung diseases. For each pathology a specific algorithm was developed and used by all centres for the identification of the prevalent/incident cases of the selected diseases. Standardized methods were used to estimate the rates. The results confirm the need for a common standard approach to produce estimates based on EHA, considering the variability of the quality and of the completeness of the archives, and the difficulties of standardizing record-linkage operations in the various centres. The main achievement of this work was the elimination of the variability due to the use of different algorithms to identify cases using EHA.