Chiara Seghieri

The wine consumer's behaviour in selected stores of Italian major retailing chains

Purpose – The principal aim of this article is to examine attitudes of Italian consumers in relation to wine, identifying specific types of wine buyers.Design/methodology/approach – A sample of 442 Italian wine consumers has been surveyed and three measurement instruments have been developed for grouping the observations by means of multivariate statistical analysis. The study then investigates both the consumer and product characteristics that significantly differentiate between the derived clusters of buyers and finally provides an external validity check.Findings – Although the study is exploratory in nature, there is evidence that four wine‐related consumer segments exist in our sample. These segments are habitual wine buyers, rational buyers, interested consumers, and professionals of promotions.Originality/value – For wine marketers, the results of this research clearly support the need for a targeted approach to their consumer market. The study identifies the principal consequences of the results i...

Assessment and Improvement of the Italian Healthcare System: First Evidence from a Pilot National Performance Evaluation System

EXECUTIVE SUMMARY The Italian National Health System (NHS), established in 1978, follows a model similar to the Beveridge model developed by the British NHS (Beveridge 1942; Musgrove 2000). Like the British NHS, healthcare coverage for the Italian population is provided and financed by the government through taxes. Universal coverage provides uniform healthcare access to citizens and is the characteristic usually considered the added value of a welfare system financed by tax revenues. Nonetheless, in Italy the strong policy of decentralization, which has been taking place since the early 1990s, has gradually shifted powers from the state to the 21 Italian regions. Consequently, the state now retains limited supervisory control and continues to have overall responsibility for the NHS in order to ensure uniform and essential levels of health services across the country. In this context, it has become essential, both for the ministry and for regions, to adopt a common performance evaluation system (PES). This article reports the definition, implementation, and first evidences of a pilot PES at a national level. It shows how this PES can be viewed as a strategic tool supporting the Ministry of Health (MoH) in ensuring uniform levels of care for the population and assisting regional managers to evaluate performance in benchmarking. Finally, lessons for other health systems, based on the Italian experience, are provided.

Food Groups Associated with a Composite Measure of Probability of Adequate Intake of 11 Micronutrients in the Diets of Women in Urban Mali

The prevalence of micronutrient deficiency is high among women of reproductive age living in urban Mali. Despite this, there are little data on the dietary intake of micronutrients among women of reproductive age in Mali. This research tested the relationship between the quantity of intake of 21 possible food groups and estimated usual micronutrient (folate, vitamin B-12, calcium, riboflavin, niacin, vitamin A, iron, thiamin, vitamin B-6, vitamin C, and zinc) intakes and a composite measure of adequacy of 11 micronutrients [mean probability of adequacy (MPA)] based on the individual probability of adequacy (PA) for the 11 micronutrients. Food group and micronutrient intakes were calculated from 24-h recall data in an urban sample of Malian women. PA was lowest for folate, vitamin B-12, calcium, and riboflavin. The overall MPA for the composite measure of 11 micronutrients was 0.47 ± 0.18. Grams of intake from the nuts/seeds, milk/yogurt, vitamin A-rich dark green leafy vegetables (DGLV), and vitamin C-rich vegetables food groups were correlated (Spearmans rho = 0.20-0.36; P < 0.05) with MPA. Women in the highest consumption groups of nuts/seeds and DGLV had 5- and 6-fold greater odds of an MPA > 0.5, respectively. These findings can be used to further the development of indicators of dietary diversity and to improve micronutrient intakes of women of reproductive age.

Comparing health outcomes among hospitals: the experience of the Lombardy Region

In recent years, governments and other stakeholders have increasingly used administrative data for measuring healthcare outcomes and building rankings of health care providers. However, the accuracy of such data sources has often been questioned. Starting in 2002, the Lombardy (Italy) regional administration began monitoring hospital care effectiveness on administrative databases using seven outcome measures related to mortality and readmissions. The present study describes the use of benchmarking results of risk-standardized mortality from Lombardy regional hospitals. The data usage is part of a general program of continuous improvement directed to health care service and organizational learning, rather than at penalizing or rewarding hospitals. In particular, hierarchical regression analyses - taking into account mortality variation across hospitals - were conducted separately for each of the most relevant clinical disciplines. Overall mortality was used as the outcome variable and the mix of the hospitals’ output was taken into account by means of Diagnosis Related Group data, while also adjusting for both patient and hospital characteristics. Yearly adjusted mortality rates for each hospital were translated into a reporting tool that indicates to healthcare managers at a glance, in a user-friendly and non-threatening format, underachieving and over-performing hospitals. Even considering that benchmarking on risk-adjusted outcomes tend to elicit contrasting public opinions and diverging policymaking, we show that repeated outcome measurements and the development and dissemination of organizational best practices have promoted in Lombardy region implementation of outcome measures in healthcare management and stimulated interest and involvement of healthcare stakeholders.

Is variation management included in regional healthcare governance systems? Some proposals from Italy

The Italian National Health System, which follows a Beveridge model, provides universal healthcare coverage through general taxation. Universal coverage provides uniform healthcare access to citizens and is the characteristic usually considered the added value of a welfare system financed by tax revenues. Nonetheless, wide differences in practice patterns, health outcomes and regional usages of resources that cannot be justified by differences in patient needs have been demonstrated to exist. Beginning with the experience of the health care system of the Tuscany region (Italy), this study describes the first steps of a long-term approach to proactively address the issue of geographic variation in healthcare. In particular, the study highlights how the unwarranted variation management has been addressed in a region with a high degree of managerial control over the delivery of health care and a consolidated performance evaluation system, by first, considering it a high priority objective and then by actively integrating it into the regional planning and control mechanism. The implications of this study can be useful to policy makers, professionals and managers, and will contribute to the understanding of how the management of variation can be implemented with performance measurements and financial incentives.

30-day in-hospital mortality after acute myocardial infarction in Tuscany (Italy): An observational study using hospital discharge data

BackgroundCoronary heart disease is the leading cause of mortality in the world. One of the outcome indicators recently used to measure hospital performance is 30-day mortality after acute myocardial infarction (AMI). This indicator has proven to be a valid and reproducible indicator of the appropriateness and effectiveness of the diagnostic and therapeutic process for AMI patients after hospital admission. The aim of this study was to examine the determinants of inter-hospital variability on 30-day in-hospital mortality after AMI in Tuscany. This indicator is a proxy of 30-day mortality that includes only deaths occurred during the index or subsequent hospitalizations.MethodsThe study population was identified from hospital discharge records (HDRs) and included all patients with primary or secondary ICD-9-CM codes of AMI (ICD-9 codes 410.xx) that were discharged between January 1, 2009 and November 30, 2009 from any hospital in Tuscany. The outcome of interest was 30-day all-cause in-hospital mortality, defined as a death occurring for any reason in the hospital within 30 days of the admission date. Because of the hierarchical structure of the data, with patients clustered into hospitals, random-effects (multilevel) logistic regression models were used. The models included patient risk factors and random intercepts for each hospital.ResultsThe study included 5,832 patients, 61.90% male, with a mean age of 72.38 years. During the study period, 7.99% of patients died within 30 days of admission. The 30-day in-hospital mortality rate was significantly higher among patients with ST segment elevation myocardial infarction (STEMI) compared with those with non-ST segment elevation myocardial infarction (NSTEMI). The multilevel analysis which included only the hospital variance showed a significant inter-hospital variation in 30-day in-hospital mortality. When patient characteristics were added to the model, the hospital variance decreased. The multilevel analysis was then carried out separately in the two strata of patients with STEMI and NSTEMI. In the STEMI group, after adjusting for patient characteristics, some residual inter-hospital variation was found, and was related to the presence of a cardiac catheterisation laboratory.ConclusionWe have shown that it is possible to use routinely collected administrative data to predict mortality risk and to highlight inter-hospital differences. The distinction between STEMI and NSTEMI proved to be useful to detect organisational characteristics, which affected only the STEMI subgroup.

Height, socioeconomic status and marriage in Italy around 1900.

This study examines the role of height in the process of mate selection in two Italian populations at the turn of the twentieth century, Alghero, in the province of Sassari, and Treppo Carnico, in the province of Udine. Based on a linkage between military registers and marriage certificates, this study reveals a negative selection of short men on marriage and a differential effect of tallness by population in the process of mate choice. These findings emerge once SES is taken into account in the risk models of marriage.

How do hospitalization experience and institutional characteristics influence inpatient satisfaction? A multilevel approach

Over the last several years, interest in benchmarking health services’ quality—particularly patient satisfaction (PS)—across organizations has increased. Comparing patient experiences of care across hospitals requires risk adjustment to control for important differences in patient case-mix and provider characteristics. This study investigates the individual-level and organizational-level determinants of PS with public hospitals by applying hierarchical models. The analysis focuses on the effect of hospital characteristics, such as self-discharges, on overall evaluations and on across hospital variation in scores. Sociodemographics, admission mode, place of residence, hospitalization ward and continuity of care were statistically significant predictors of inpatient satisfaction. Interestingly, it was observed that hospitals with a higher percentage of Patients Leaving Against Medical Advice (PLAMA) received lower scores. The latter result suggests that the percentage of PLAMA may provide a useful measure of a hospital’s inability to meet patient needs and a proxy indicator of PS with hospital care.

Risk adjustment for inter-hospital comparison of caesarean delivery rates in low-risk deliveries.

Background Caesarean delivery (CD) rates have been frequently used as quality measures for maternity service comparisons. More recently, primary CD rates (CD in women without previous CD) or CD rates within selected categories such as nulliparous, term, cephalic singleton deliveries (NTCS) have been used. The objective of this study is to determine the extent to which risk adjustment for clinical and socio-demographic variables is needed for inter-hospital comparisons of CD rates in women without previous CD and in NTCS deliveries. Methods Hospital discharge records of women who delivered in Emilia-Romagna Region (Italy) from January, 2007 to June 2009 and in Tuscany Region for year 2009 were linked with birth certificates. Adjusted RRs of CD in women without a previous Caesarean and NTCS were estimated using Poisson regression. Percentage differences in RR before and after adjustment were calculated and hospital rankings, based on crude and adjusted RRs, were examined. Results Adjusted RR differed substantially from crude RR in women without a previous Caesarean and only marginally in NTCS group. Hospital ranking was markedly affected by adjustment in women without a previous CD, but less in NTCS. Conclusion Risk adjustment is warranted for inter-hospital comparisons of primary CD rates but not for NTCS CD rates. Crude NTCS CD rates are a reliable estimate of adjusted NTCS CD.

Gender differences in the relationship between diabetes process of care indicators and cardiovascular outcomes

BACKGROUND Adherence to recommended guidelines in the care for diabetes has been demonstrated to significantly prevent the excess risk of hospitalization and mortality for cardiovascular diseases. Aim of this study was to evaluate whether adherence to a standardized process quality-of-care-indicator in diabetes, is able to predict, equally in men and women, first hospitalization or mortality risk after acute myocardial infarction (AMI), ischemic stroke (IS), congestive heart failure (CHF), lower extremity amputations (LEA) or any of above major adverse cardiovascular events (MACE). METHODS Guideline composite indicator (GCI), a process indicator including one annual assessment of HbA1c and at least two among eye examination, serum lipids measurement and microalbuminuria, was measured in the year 2006 in 91 826 (46 167 M/45 659 F) diabetic patients, living in Tuscany (Italy). By a Cox-proportional hazard regression model, the effect of GCI adherence was assessed on adjusted hospitalization mortality risk for AMI, IS, CHF, LEA and MACE in both genders in a follow-up period of 6 years (2007-12). RESULTS After adjusting for covariates, adherence to CGI exerted a significant positive effect on AMI, CHF and LEA outcomes among men, whereas among women, GCI adherence significantly decreased hospitalization risk only for CHF and mortality risk after IS. Finally, GCI adherence significantly reduced hospitalization risk for MACE of about 15% and 11% in men and women, respectively. On the contrary, GCI adherence seemed to have no significant influence on mortality risk after hospitalization for MACE in both genders. CONCLUSION In this cohort, over a 6-year follow-up, GCI adherence was found to be a significant predictor of lower cardiovascular risk, with some evident gender differences.