A5063120378- Global Health Care Issues
- Healthcare Policy and Management
- Health Systems, Economic Evaluations, Quality of Life
- Statistical Methods and Inference
- Italy: Economic History and Contemporary Issues
- COVID-19 epidemiological studies
- COVID-19 and healthcare impacts
- Efficiency Analysis Using DEA
- Statistical Methods and Bayesian Inference
- Patient Satisfaction in Healthcare
- Spatial and Panel Data Analysis
- Economic and Environmental Valuation
- Advanced Causal Inference Techniques
- Employment and Welfare Studies
- COVID-19 Pandemic Impacts
- Healthcare Quality and Management
- Healthcare Operations and Scheduling Optimization
- Health disparities and outcomes
- Forecasting Techniques and Applications
- Family Dynamics and Relationships
- Economic Policies and Impacts
- Pharmaceutical Economics and Policy
- Intergenerational Family Dynamics and Caregiving
- Housing Market and Economics
- Fiscal Policy and Economic Growth
University of Milano-Bicocca
2015-2024
Brunel University of London
2016-2022
University of Trento
2022
Ca' Foscari University of Venice
2022
University of Bergamo
2014-2016
University of Milan
2012-2013
I.R.C.C.S. Oasi Maria SS
2007
Summary We study the effect of competition on adverse hospital health outcomes in a context which information about quality is not publicly available. use data patients who were admitted to hospitals Lombardy region Italy. Although risk-adjusted rankings are estimated yearly this region, such provided managers only and available general practitioners or citizens. Hence, may choose where be basis different criteria as their geographical closeness hospital, local network referrals by...
We compare the intergovernmental health system responses to first wave of COVID-19 pandemic in Italy and Spain, two countries where healthcare is managed at regional level impact was highly localized. However, whereas government allowed for a passively accepted central coordination without restricting autonomy ("descentralised coordinantion"), de facto centralized under "single command" ("hierarchical centralization"). argue that latter strategy crowded out incentives information sharing,...
Objective To define macro symptoms of long COVID and to identify predictive factors, with the aim preventing development syndrome. Design A single-centre longitudinal prospective cohort study conducted from May 2020 October 2022. Setting The was at Luigi Sacco University Hospital in Milan (Italy). In 2020, we activated ARCOVID (Ambulatorio Rivalutazione COVID) outpatient service for follow-up COVID. Participants Hospitalised non-hospitalised patients previously affected by COVID-19 were...
Summary The COVID‐19 pandemic caused an unprecedented excess mortality. Since 2020, many studies have focussed on the characteristics of patients who did not survive. From statistical point view, what seems to dominate is large heterogeneity populations affected by and extreme difficulty in identifying subpopulations died a plurality contemporary characteristics. In this paper, we propose extremely flexible approach based cluster‐weighted model, which allows us identify latent groups sharing...
Background: During the second half of 20th century there was a positive relationship between single parenthood and motherâs educational level in Spain Italy.
In this paper we introduce %CEM, a macro package allowing researchers to automatically perform coarsened exact matching (CEM) in SAS environment. CEM is non-parametric method widely used by avoid the confounding influence of pre-treatment control variables improve causal inference quasi-experimental studies. %CEM introduces completely automated process which allows users efficiently fields large data sets are common and where most popular statistical tool. addition, such may be test several...
Geographic variations in healthcare expenditures have been widely reported within and between countries. Nevertheless, empirical evidence on the role of organizational factors care systems explaining these is still needed. This paper aims at assessing regional differences hospital spending for patients hospitalized Acute Myocardial Infarction (AMI) Tuscany Lombardy regions (Italy), which rank high terms quality that been, least until 2016, characterized by quite different governance systems....
The spread of COVID-19 implied a large and fast increase demand for intensive care services. To face this in demand, health systems need to adapt their response by increasing hospital beds, unit (ICU) capacity (re-)deploying doctors other personnel. This paper proposes forecast approach based on the Vector Error Correction model daily counts hospitalized patients with symptoms ICU, using publicly available data current outbreak Italy, Switzerland Spain. level analysis is local government...
Healthcare systems are increasingly focusing on outcomes that the endpoints of care: patient health status and satisfaction. The availability satisfaction (PS) data has encouraged research its relationship with other outcomes, such as mortality. In Italy, an inter-regional performance evaluation system (IRPES) provides 13 regional healthcare a multidimensional assessment appropriateness, efficiency, financial sustainability, effectiveness, equity. For university hospitals, IRPES includes...
We study inter-regional migration flows due to hospital admissions and focus on the impact of beaten paths. estimate a gravity model applied Italian data for period 2010–2016. find that paths have positive effect patient flows, with estimated elasticity equal +0.32%. Therefore, family social ties among people living in region origin destination may explain concentration health (HM) some regions. Moreover, path is stronger private hospitals. also HM patients are more sensible quality than...
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Pay-for-performance approaches have been widely adopted in order to drive improvements the quality of healthcare provision. Previous studies evaluating impact these programs are limited by either number health outcomes or medical conditions considered. In this paper, we evaluate effectiveness a pay-for-performance program on basis five and across wide range conditions. The context study is Lombardy region Italy, where rewarding was introduced 2012. policy evaluation based...
Abstract In health care, multilevel models are typically used to evaluate hospitals' performance and rank hospitals accordingly. While capture the hierarchical structure in data, such as grouping of patients into hospitals, these do not account for additional latent structures. this paper, we develop a novel logistic cluster‐weighted model which can predict binary outcome, mortality within 30 days discharge, while accounting both known structures data. We an Expectation‐Maximization...
Background The first Covid-19 epidemic outbreak has enormously impacted the delivery of clinical healthcare and hospital management practices in most hospitals around world. In this context, it is important to assess whether non-Covid patients not been compromised. Among cases, with Acute Myocardial Infarction (AMI) stroke need non-deferrable emergency care are natural candidates be studied. Preliminary evidence suggests that time from onset symptoms department (ED) presentation...
BackgroundDuring the COVID-19 pandemic, large-scale diagnostic testing and contact tracing have proven insufficient to promptly monitor spread of infections.AimTo develop retrospectively evaluate a system identifying aberrations in use selected healthcare services timely detect outbreaks small areas.MethodsData were retrieved from utilisation (HCU) databases Lombardy Region, Italy. We identified eight suggesting respiratory infection (syndromic proxies). Count time series reporting weekly...
Abstract We evaluate the relationship between hospital ownership and responses to a policy providing large financial incentives for vaginal deliveries disincentives C‐sections. compare for‐profit, nonprofit, public hospitals operating in health care system organized according quasi‐market model. first theoretically show that matters insofar different are characterized by ethical preferences. also competition makes less important. then consider case study of Lombardy Italy. exploit spatial...