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23 results on '"Ciampichini, R"'

1. Use of health care administrative databases to estimate incidence of foot complications in diabetes patients

Author

Scalone, L, Furneri, G, Ciampichini, R, Cortesi, P, Fornari, C, Madotto, F, Chiodini, V, Mantovani, L, Cesana, G, SCALONE, LUCIANA, Furneri G, Ciampichini R, CORTESI, PAOLO ANGELO, FORNARI, CARLA, MADOTTO, FABIANA, Chiodini V, MANTOVANI, LORENZO GIOVANNI, CESANA, GIANCARLO, Scalone, L, Furneri, G, Ciampichini, R, Cortesi, P, Fornari, C, Madotto, F, Chiodini, V, Mantovani, L, Cesana, G, SCALONE, LUCIANA, Furneri G, Ciampichini R, CORTESI, PAOLO ANGELO, FORNARI, CARLA, MADOTTO, FABIANA, Chiodini V, MANTOVANI, LORENZO GIOVANNI, and CESANA, GIANCARLO

Published
2012

2. Use of health care administrative databases to estimate the burden of multiple sclerosis: a population-based study

Author

Furneri, G, Ciampichini, R, Scalone, L, Cortesi, P, Fornari, C, Madotto, F, Chiodini, V, Mantovani, L, Cesana, G, Furneri G, Ciampichini R, SCALONE, LUCIANA, CORTESI, PAOLO ANGELO, FORNARI, CARLA, MADOTTO, FABIANA, Chiodini V, MANTOVANI, LORENZO GIOVANNI, CESANA, GIANCARLO, Furneri, G, Ciampichini, R, Scalone, L, Cortesi, P, Fornari, C, Madotto, F, Chiodini, V, Mantovani, L, Cesana, G, Furneri G, Ciampichini R, SCALONE, LUCIANA, CORTESI, PAOLO ANGELO, FORNARI, CARLA, MADOTTO, FABIANA, Chiodini V, MANTOVANI, LORENZO GIOVANNI, and CESANA, GIANCARLO

Published
2012

3. Use of health care administrative databases to estimate the burden of breast cancer.

Author

Ciampichini, R, Furneri, G, Scalone, L, Cortesi, P, Fornari, C, Madotto, F, Chiodini, V, Mantovani, L, Cesana, G, Ciampichini R, Furneri G, SCALONE, LUCIANA, CORTESI, PAOLO ANGELO, FORNARI, CARLA, MADOTTO, FABIANA, Chiodini V, MANTOVANI, LORENZO GIOVANNI, CESANA, GIANCARLO, Ciampichini, R, Furneri, G, Scalone, L, Cortesi, P, Fornari, C, Madotto, F, Chiodini, V, Mantovani, L, Cesana, G, Ciampichini R, Furneri G, SCALONE, LUCIANA, CORTESI, PAOLO ANGELO, FORNARI, CARLA, MADOTTO, FABIANA, Chiodini V, MANTOVANI, LORENZO GIOVANNI, and CESANA, GIANCARLO

Published
2012

4. Utilization of disease modifying agents in multiple sclerosis: analysis from an Italian administrative database.

Author

Furneri, G, Scalone, L, Ciampichini, R, Cortesi, P, Fornari, C, Madotto, F, Chiodini, V, Cesana, G, Mantovani, L, Furneri G, Scalone L, Ciampichini R, CORTESI, PAOLO ANGELO, FORNARI, CARLA, MADOTTO, FABIANA, Chiodini V, CESANA, GIANCARLO, MANTOVANI, LORENZO GIOVANNI, Furneri, G, Scalone, L, Ciampichini, R, Cortesi, P, Fornari, C, Madotto, F, Chiodini, V, Cesana, G, Mantovani, L, Furneri G, Scalone L, Ciampichini R, CORTESI, PAOLO ANGELO, FORNARI, CARLA, MADOTTO, FABIANA, Chiodini V, CESANA, GIANCARLO, and MANTOVANI, LORENZO GIOVANNI

Published
2012

5. Use of healthcare administrative databases to estimate the burden of diabaetes mellitus: a population-based study

Author

Scalone, L, Mantovani, L, Furneri, G, Ciampichini, R, Cortesi, P, Beck Peccoz, P, Orsi, E, Fornari, C, Madotto, F, Chiodini, V, Cesana, G, SCALONE, LUCIANA, MANTOVANI, LORENZO GIOVANNI, Furneri G, Ciampichini R, CORTESI, PAOLO ANGELO, Beck Peccoz P, Orsi E, FORNARI, CARLA, MADOTTO, FABIANA, Chiodini V, CESANA, GIANCARLO, Scalone, L, Mantovani, L, Furneri, G, Ciampichini, R, Cortesi, P, Beck Peccoz, P, Orsi, E, Fornari, C, Madotto, F, Chiodini, V, Cesana, G, SCALONE, LUCIANA, MANTOVANI, LORENZO GIOVANNI, Furneri G, Ciampichini R, CORTESI, PAOLO ANGELO, Beck Peccoz P, Orsi E, FORNARI, CARLA, MADOTTO, FABIANA, Chiodini V, and CESANA, GIANCARLO

Published
2012

8. Use of health care administrative databases to estimate the health care burden of bone or bone marrow metastatic disease in breast cancer patients: a population-based study

Author

MANTOVANI, LORENZO GIOVANNI, Furneri, G, Ciampichini, R, Chiodini, V, SCALONE, LUCIANA, CORTESI, PAOLO ANGELO, FORNARI, CARLA, MADOTTO, FABIANA, CESANA, GIANCARLO, Mantovani, L, Scalone, L, Furneri, G, Ciampichini, R, Cortesi, P, Fornari, C, Madotto, F, Chiodini, V, and Cesana, G

Subjects
Bone metastatic disease, Bone marrow metastatic disease, Boen marrow, breast cancer
Published
2012

9. Use of healthcare administrative databases to estimate the burden of diabaetes mellitus: a population-based study

Author

SCALONE, LUCIANA, MANTOVANI, LORENZO GIOVANNI, Furneri G, Ciampichini R, CORTESI, PAOLO ANGELO, Beck Peccoz P, Orsi E, FORNARI, CARLA, MADOTTO, FABIANA, Chiodini V, CESANA, GIANCARLO, Scalone, L, Mantovani, L, Furneri, G, Ciampichini, R, Cortesi, P, Beck Peccoz, P, Orsi, E, Fornari, C, Madotto, F, Chiodini, V, and Cesana, G

Subjects
Diabetes Mellitus, Burden of disease, Italy
Published
2012

11. Development of a segmentation model to identify healthcare demand and related costs attributable to population's characteristics

Author

MADOTTO, FABIANA, FORNARI, CARLA, RIVA, MICHELE AUGUSTO, SCALONE, LUCIANA, BONAZZI, MARIA CHIARA, CESANA, GIANCARLO, Ciampichini, R, Madotto, F, Fornari, C, Riva, M, Scalone, L, Ciampichini, R, Bonazzi, M, and Cesana, G

Subjects
healthcare demand, health administrative databases
Abstract

OBJECTIVES. The assessment of individuals’ demand and related costs can guide to allocate healthcare resources and improve access to healthcare. We created a segmentation demand model and we estimated healthcare costs and their determinants within specific and distinguished groups of general population. METHODS. The target population included subjects living in an area of northern Italy registered at one Local Healthcare Unit in 2005 (1,031,684 subjects). On the basis of clinical judgments and literature, we identified eight different segments: subjects unknown to HS, maternity and infancy, elderly, people with one chronic disease (CD), people with more CDs, people with probable or not severe CDs, subjects with acute event, healthy people. To describe these groups and their health demand, we used demographic and healthcare demand data (hospital admissions, drug’s prescriptions, medical specialist visits, diagnostic tests) from administrative databases available at the Lombardy Health System (HS). These were merged adopting probabilistic record linkage (DENALI Data Warehouse) to optimize correct matching of data. RESULTS. Overall, healthcare cost €834 million in 2005 (€809 per-capita). Healthy people were 53% of the sample and cost €180 per-capita. Next more frequent subjects were those with one CD (14%) and cost €916 per-capita, then those with more CDs (13%) who cost €3,457 per-capita. Hospitalizations were the cost driver in five segments (maternity and infancy, elderly, one CD, more CDs, acute event), accounting for 42-89% of total costs. Diagnostic tests and medical visits contributed to 42-45% of total costs among healthy subjects and those with probable CD. Overall, drugs accounted for 24% of costs of sample. CONCLUSIONS. This pioneer demand segmentation model shows an example of how merging different administrative databases makes possible understanding effects of their characteristics on healthcare demand and costs. Research is encouraged to improve the model and study specific variants that can be applied in different healthcare contexts.

Published
2010

12. Utilization of antispasticity drugs in multiple sclerosis: analysis from an Italian administrative database

Author

Mantovani, L, Furneri, G, Scalone, L, Ciampichini, R, Cortesi, P, Fornari, C, Madotto, F, Chiodini, V, Cesana, G, MANTOVANI, LORENZO GIOVANNI, SCALONE, LUCIANA, CORTESI, PAOLO ANGELO, FORNARI, CARLA, MADOTTO, FABIANA, CESANA, GIANCARLO, Mantovani, L, Furneri, G, Scalone, L, Ciampichini, R, Cortesi, P, Fornari, C, Madotto, F, Chiodini, V, Cesana, G, MANTOVANI, LORENZO GIOVANNI, SCALONE, LUCIANA, CORTESI, PAOLO ANGELO, FORNARI, CARLA, MADOTTO, FABIANA, and CESANA, GIANCARLO

Published
2013

13. Economic burden of pneumoniae requiring hospitalization in italy: analysis from an administrative database

Author

Ciampichini, R, Furneri, G, Cozzolino, P, Mantovani, L, Fornari, C, Madotto, F, Chiodini, V, Cesana, G, MANTOVANI, LORENZO GIOVANNI, FORNARI, CARLA, MADOTTO, FABIANA, CESANA, GIANCARLO, Ciampichini, R, Furneri, G, Cozzolino, P, Mantovani, L, Fornari, C, Madotto, F, Chiodini, V, Cesana, G, MANTOVANI, LORENZO GIOVANNI, FORNARI, CARLA, MADOTTO, FABIANA, and CESANA, GIANCARLO

Published
2013

14. The Impact of Type of Liver Conditions on the Patients’ Health Related Quality of Life

Author

Cortesi, P, Scalone, L, Ciampichini, R, Cozzolino, P, Cesana, G, Mantovani, L, Okolicsanyi, S, Ciaccio, A, Rota, M, Valsecchi, M, Gentiluomo, M, Gemma, M, Grisola, A, Scripo, R, Pecere, S, Pontisso, P, Burra, P, Mondelli, M, Fabris, L, Colledan, M, Fagiuoli, S, Belli, L, Strazzabosco, M, CORTESI, PAOLO ANGELO, SCALONE, LUCIANA, CESANA, GIANCARLO, MANTOVANI, LORENZO GIOVANNI, OKOLICSANYI, STEFANO, CIACCIO, ANTONIO, ROTA, MATTEO, VALSECCHI, MARIA GRAZIA, GENTILUOMO, MARIA, GEMMA, MARTA, STRAZZABOSCO, MARIO, Cortesi, P, Scalone, L, Ciampichini, R, Cozzolino, P, Cesana, G, Mantovani, L, Okolicsanyi, S, Ciaccio, A, Rota, M, Valsecchi, M, Gentiluomo, M, Gemma, M, Grisola, A, Scripo, R, Pecere, S, Pontisso, P, Burra, P, Mondelli, M, Fabris, L, Colledan, M, Fagiuoli, S, Belli, L, Strazzabosco, M, CORTESI, PAOLO ANGELO, SCALONE, LUCIANA, CESANA, GIANCARLO, MANTOVANI, LORENZO GIOVANNI, OKOLICSANYI, STEFANO, CIACCIO, ANTONIO, ROTA, MATTEO, VALSECCHI, MARIA GRAZIA, GENTILUOMO, MARIA, GEMMA, MARTA, and STRAZZABOSCO, MARIO

Abstract

OBJECTIVES: Liver diseases (LDs) have a high impact on morbidity, mortality and health-related quality of life (HRQoL). LDs may have different impact on patients’ HRQoL. The aim of our study was to evaluate HRQoL in the major liver conditions: hepatitis B(HBV), hepatitis C(HCV), cirrhosis(compensated and decompensated), hepatocellular carcinoma(HCC), autoimmune hepatitis(AIH), primary biliary cirrhosis(PBC), primary sclerosing cholangitis(PSC), NAFLD/NASH, patients in the liver transplant list and post-transplant METHODS: a naturalistic, prospective, multicenter study has been conducted to generate and validate a set of health care outcomes indicators for the major liver conditions. LDs patients (age>18 years) were enrolled in 3 major Italian medical centers and are still being followed up (median f-up:13 months). Within this study, socio-demographic, clinical and HRQoL were collected using the EQ-5D-3L. The HRQoL data was analyzed dividing the patients in sub-groups according to the most recently diagnosed and most severe condition. RESULTS: we enrolled 3,217 patients, 64.8% male, aged 19-91 (median=61) years; 95.0% of them filled in the EQ-5D at baseline visit. Patients in the HCC group were 22.6%; while in the AIH group were 1.6%. The highest percentage of problems in Mobility dimension (39.2%) was reported by decompensated cirrhosis sub-group, the highest percentage in Self-care (22.6%) and Usual Activities (47.1%) by patients in liver transplant list, in Pain/Discomfort (59.2%) by AIH and in Anxiety/Depression (57.8%) by PBC. The HBV sub-group reported the best HRQoL with a mean EQ-5D VAS of 77.8; while AIH and listed for liver transplant patients reported the worst HRQoL levels (mean EQ-5D VAS=67.7 and 63.5, respectively). CONCLUSIONS: our study shows how HRQoL is different between LDs and how it is negatively related with the clinical severity. Understanding the different impact of LDs on the patients’ HRQoL could help physicians and decision makers to better

Published
2013

15. Use of health care administrative databases to estimate the health care burden of bone or bone marrow metastatic disease in breast cancer patients: a population-based study.

Author

Mantovani, L, Scalone, L, Furneri, G, Ciampichini, R, Cortesi, P, Fornari, C, Madotto, F, Chiodini, V, Cesana, G, MANTOVANI, LORENZO GIOVANNI, SCALONE, LUCIANA, CORTESI, PAOLO ANGELO, FORNARI, CARLA, MADOTTO, FABIANA, CESANA, GIANCARLO, Mantovani, L, Scalone, L, Furneri, G, Ciampichini, R, Cortesi, P, Fornari, C, Madotto, F, Chiodini, V, Cesana, G, MANTOVANI, LORENZO GIOVANNI, SCALONE, LUCIANA, CORTESI, PAOLO ANGELO, FORNARI, CARLA, MADOTTO, FABIANA, and CESANA, GIANCARLO

Published
2012

16. Development of a segmentation model to identify healthcare demand and related costs attributable to population's characteristics

Author

Madotto, F, Fornari, C, Riva, M, Scalone, L, Ciampichini, R, Bonazzi, M, Cesana, G, MADOTTO, FABIANA, FORNARI, CARLA, RIVA, MICHELE AUGUSTO, SCALONE, LUCIANA, BONAZZI, MARIA CHIARA, CESANA, GIANCARLO, Madotto, F, Fornari, C, Riva, M, Scalone, L, Ciampichini, R, Bonazzi, M, Cesana, G, MADOTTO, FABIANA, FORNARI, CARLA, RIVA, MICHELE AUGUSTO, SCALONE, LUCIANA, BONAZZI, MARIA CHIARA, and CESANA, GIANCARLO

Abstract

OBJECTIVES. The assessment of individuals’ demand and related costs can guide to allocate healthcare resources and improve access to healthcare. We created a segmentation demand model and we estimated healthcare costs and their determinants within specific and distinguished groups of general population. METHODS. The target population included subjects living in an area of northern Italy registered at one Local Healthcare Unit in 2005 (1,031,684 subjects). On the basis of clinical judgments and literature, we identified eight different segments: subjects unknown to HS, maternity and infancy, elderly, people with one chronic disease (CD), people with more CDs, people with probable or not severe CDs, subjects with acute event, healthy people. To describe these groups and their health demand, we used demographic and healthcare demand data (hospital admissions, drug’s prescriptions, medical specialist visits, diagnostic tests) from administrative databases available at the Lombardy Health System (HS). These were merged adopting probabilistic record linkage (DENALI Data Warehouse) to optimize correct matching of data. RESULTS. Overall, healthcare cost €834 million in 2005 (€809 per-capita). Healthy people were 53% of the sample and cost €180 per-capita. Next more frequent subjects were those with one CD (14%) and cost €916 per-capita, then those with more CDs (13%) who cost €3,457 per-capita. Hospitalizations were the cost driver in five segments (maternity and infancy, elderly, one CD, more CDs, acute event), accounting for 42-89% of total costs. Diagnostic tests and medical visits contributed to 42-45% of total costs among healthy subjects and those with probable CD. Overall, drugs accounted for 24% of costs of sample. CONCLUSIONS. This pioneer demand segmentation model shows an example of how merging different administrative databases makes possible understanding effects of their characteristics on healthcare demand and costs. Research is encouraged to improve the mode

Published
2010

17. Utilization of antispasticity drugs in multiple sclerosis: analysis from an Italian administrative database

Author

Lorenzo G. Mantovani, P.A. Cortesi, V. Chiodini, Giancarlo Cesana, Fabiana Madotto, Carla Fornari, Gianluca Furneri, Roberta Ciampichini, Luciana Scalone, Mantovani, L, Furneri, G, Scalone, L, Ciampichini, R, Cortesi, P, Fornari, C, Madotto, F, Chiodini, V, and Cesana, G

Subjects
medicine.medical_specialty, business.industry, Health Policy, Multiple sclerosis, Public Health, Environmental and Occupational Health, antispasticity drugs, medicine.disease, Physical medicine and rehabilitation, Administrative database, medicine, Physical therapy, Spasticity, medicine.symptom, business
Published
2013

18. Cost-Effectiveness and Cost-Utility Analysis of Spinal Cord Stimulation in Patients With Failed Back Surgery Syndrome: Results From the PRECISE Study.

Author

Zucco F, Ciampichini R, Lavano A, Costantini A, De Rose M, Poli P, Fortini G, Demartini L, De Simone E, Menardo V, Cisotto P, Meglio M, Scalone L, and Mantovani LG

Subjects
Aged, Disability Evaluation, Failed Back Surgery Syndrome etiology, Failed Back Surgery Syndrome psychology, Female, Humans, Longitudinal Studies, Male, Middle Aged, Quality of Life, Quality-Adjusted Life Years, Retrospective Studies, Severity of Illness Index, Surveys and Questionnaires, Cost-Benefit Analysis, Failed Back Surgery Syndrome therapy, Spinal Cord Stimulation economics, Spinal Cord Stimulation methods
Abstract

Objective: To assess the cost-effectiveness and cost-utility of Spinal Cord Stimulation (SCS) in patients with failed back surgery syndrome (FBSS) refractory to conventional medical management (CMM)., Materials and Methods: We conducted an observational, multicenter, longitudinal ambispective study, where patients with predominant leg pain refractory to CMM expecting to receive SCS+CMM were recruited in 9 Italian centers and followed up to 24 months after SCS. We collected data on clinical status (pain intensity, disability), Health-Related Quality-of-Life (HRQoL) and on direct and indirect costs before (pre-SCS) and after (post-SCS) the SCS intervention. Costs were quantified in € 2009, adopting the National Health Service's (NHS), patient and societal perspectives. Benefits and costs pre-SCS versus post-SCS were compared to estimate the incremental cost-effectiveness and cost utility ratios., Results: 80 patients (40% male, mean age 58 years) were recruited. Between baseline and 24 months post-SCS, clinical outcomes and HRQoL significantly improved. The EQ-5D utility index increased from 0.421 to 0.630 (p < 0.0001). Statistically significant improvement was first observed six months post-SCS. Societal costs increased from €6600 (pre-SCS) to €13,200 (post-SCS) per patient per year. Accordingly, the cost-utility acceptability curve suggested that if decision makers' willingness to pay per Quality-Adjusted-Life-Years (QALYs) was €60,000, SCS implantation would be cost-effective in 80% and 85% of cases, according to the NHS's and societal point of views, respectively., Conclusions: Our results suggest that in clinical practice, SCS+CMM treatment of FBSS patients refractory to CMM provides good value for money. Further research is encouraged in the form of larger, long-term studies., (© 2015 International Neuromodulation Society.)

Published
2015
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23. Italian population-based values of EQ-5D health states.

Author

Scalone L, Cortesi PA, Ciampichini R, Belisari A, D'Angiolella LS, Cesana G, and Mantovani LG

Subjects
Adolescent, Adult, Age Factors, Aged, Attitude to Health, Cost-Benefit Analysis, Female, Humans, Italy, Male, Middle Aged, Psychometrics, Quality of Life, Sex Factors, Socioeconomic Factors, Time Factors, Young Adult, Health Status, Quality-Adjusted Life Years
Abstract

Objective: To estimate a value set for the calculation of Italian-specific quality-adjusted life years (QALYs), based on preferences elicited on EuroQol five-dimensional (EQ-5D) questionnaire health states using the time trade-off technique., Methods: The revised standard Measurement and Valuation of Health protocol was followed. Twenty-five health states, divided into three groups and given to 450 subjects, were selected to obtain 300 observations per state. Subjects aged 18 to 75 years were recruited to be representative of the Italian general adult population for age, sex, and geographical distribution. To improve efficiency, face-to-face interviews were conducted by using the Computer Assisted Personal Interviewing approach. Several random effects regression models were tested to predict the full set of EQ-5D questionnaire health states. Model selection was based on logical consistency of the estimates, sign and magnitude of the regression coefficients, goodness of fit, and parsimony., Results: The model that satisfied the criteria of logical consistency and was more efficient includes 10 main effect dummy variables for the EQ-5D questionnaire domain levels and the D1 interaction term, which accounts for the number of dimensions at levels 2 or 3 beyond the first. This model has an R(2) of 0.389 and a mean absolute error of 0.03, which are comparable to or better than those of models used in other countries. The utility estimates after state 11111 range from 0.92 (21111) to -0.38 (33333). Italian utility estimates are higher than those estimated in the United Kingdom and Spain and used so far to assess QALYs and conduct cost-utility evaluations in Italy., Conclusions: A specific value set is now available to calculate QALYs for the conduction of health economic studies targeted at the Italian health care system., (Copyright © 2013 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.)

Published
2013
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