Andrea Bucci

Dr. Andrea Bucci


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 August 2017 in Applied Health Economics and Health Policy
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Journal Article
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DGDavide Golinelli
Davide Golinelli
FTFabrizio Toscano
Fabrizio Toscano
ABAndrea Bucci
Andrea Bucci
JLJacopo Lenzi
Jacopo Lenzi
MFMaria Pia Fantini
Maria Pia Fantini
GMGabriele Messina
Gabriele Messina

16 January 2020 in Journal of Forecasting
Verified
Journal Article
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ABAndrea Bucci
Andrea Bucci

29 August 2018 in BMC Health Services Research
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Journal Article
Open access
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DGDavide Golinelli
Davide Golinelli
ABAndrea Bucci
Andrea Bucci
FTFabrizio Toscano
Fabrizio Toscano
FFFilippo Filicori
Filippo Filicori
MFMaria Pia Fantini
Maria Pia Fantini
After 2008 global economic crisis, Italian governments progressively reduced public healthcare financing. Describing the time trend of health outcomes and health expenditure may be helpful for policy makers during the resources’ allocation decision making process. The aim of this paper is to analyze the trend of mortality and health spending in Italy and to investigate their correlation in consideration of the funding constraints experienced by the Italian national health system (SSN). We conducted a 20-year time-series study. Secondary data has been extracted from a national, institution based and publicly accessible retrospective database periodically released by the Italian Institute of Statistics. Age standardized all-cause mortality rate (MR) and health spending (Directly Provided Services - DPS, Agreed-Upon Services - TAUS, and private expenditure) were reviewed. Time trend analysis (1995–2014) through OLS and Multilayer Feed-forward Neural Networks (MFNN) models to forecast mortality and spending trend was performed. The association between healthcare expenditure and MR was analyzed through a fixed effect regression model. We then repeated MFNN time trend forecasting analyses on mortality by adding the spending item resulted significantly related with MR in the fixed effect analyses. DPS and TAUS decreased since 2011. There was a mismatch in mortality rates between real and predicted values. DPS resulted significantly associated to mortality (p < 0.05). In repeated mortality forecasting analysis, predicted MR was found to be lower when considering the pre-constraints health spending trend. Between 2011 and 2014, Italian public health spending items showed a reduction when compared to prior years. Spending on services directly provided free of charge appears to be the financial driving force of the Italian public health system. The overall mortality was found to be higher than the predicted trend and this scenario may be partially attributable to the healthcare funding constraints experienced by the SSN.

6 October 2021 in Spatial Statistics
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Journal Article
Closed access
ABAndrea Bucci
Andrea Bucci
LIL. Ippoliti
L. Ippoliti
PVP. Valentini
P. Valentini
SFS. Fontanella
S. Fontanella

25 March 2022 in Economic Modelling
Verified
Journal Article
Closed access
ABAndrea Bucci
Andrea Bucci
VCVito Ciciretti
Vito Ciciretti

29 August 2023 in Annals of Operations Research
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Journal Article
Closed access
PDF file
ABAndrea Bucci
Andrea Bucci
LHLidan He
Lidan He
ZLZhi Liu
Zhi Liu