One for all? Assessing the quality of Italian hospital care with the "benefit of the doubt" composite indicator methods.

Quality assessment in healthcare systems is challenging due to the multidimensional nature of healthcare services. This study evaluates the overall quality provided by hospitals using composite indicators under the Benefit of the Doubt (BoD) approach, which determines the weights of the indicators with minimal assumptions. We used data from 2015-2020 for Italian Local Health Authorities (LHAs) for 21 outcome measures, applying various non-parametric methods to address aggregation and weighting challenges.

It never rains but it pours: Austerity and mortality rate in peripheral areas.

This study examines the impact of austerity measures on mortality rates across Italian regions from 2003 to 2018. Since 2007, regions experiencing substantial healthcare financial deficits have been required to implement recovery plans (RPs). We use a recent difference-in-differences staggered matching estimator to assess the effects of this austerity policy on municipal-level monthly mortality rates.

Spatial heterogeneity in non-parametric efficiency: An application to Italian hospitals.

This paper introduces a new empirical procedure for the estimation of hospitals' technical efficiency in presence of spatial heterogeneity. We propose a methodology that allows treating spatial heterogeneity independently of a predetermined reference to administrative borders. We define geographical spatial regimes, characterised by spatial proximity and homogeneity of relevant demand characteristics, within which to assess the efficiency of hospitals.