Costanza Tortù

ORCID: 0000-0003-2561-9726
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Research Areas
  • Advanced Causal Inference Techniques
  • Telemedicine and Telehealth Implementation
  • Social Capital and Networks
  • Mobile Health and mHealth Applications
  • Health disparities and outcomes
  • Chronic Disease Management Strategies
  • Reproductive Health and Contraception
  • Urban, Neighborhood, and Segregation Studies
  • Distributed systems and fault tolerance
  • Patient-Provider Communication in Healthcare
  • Breast Implant and Reconstruction
  • Global Maternal and Child Health
  • Complex Network Analysis Techniques
  • Adolescent Sexual and Reproductive Health
  • Digital Imaging in Medicine
  • Economic Policies and Impacts
  • Electoral Systems and Political Participation
  • COVID-19 Pandemic Impacts
  • Mental Health Research Topics
  • Health Promotion and Cardiovascular Prevention
  • Healthcare Systems and Technology
  • Machine Learning in Healthcare
  • Social Media in Health Education
  • School Choice and Performance
  • Diabetes Management and Education

Istituto Universitario di Studi Superiori di Pavia
2024-2025

Scuola Superiore Sant'Anna
2022-2024

IMT School for Advanced Studies Lucca
2020

The bulk of causal inference studies rules out the presence interference between units. However, in many real-world settings units are interconnected by social, physical or virtual ties and effect a treatment can spill from one unit to other connected individuals network. In these settings, should be taken into account avoid biased estimates effect, but it also leveraged save resources provide intervention lower percentage population where is more effective over susceptible individuals....

10.1214/24-aoas1913 article EN The Annals of Applied Statistics 2025-03-01

Abstract The prevalence of longstanding chronic diseases has increased worldwide, along with the average age population. As a result, an increasing number people is affected by two or more conditions simultaneously, and healthcare systems are facing challenge treating multimorbid patients effectively. Current therapeutic strategies suited to manage each condition separately, without considering whole clinical patient. This approach may lead suboptimal outcomes system inefficiencies (e.g....

10.1038/s41598-024-51249-7 article EN cc-by Scientific Reports 2024-01-25

<sec> <title>BACKGROUND</title> The integration of mobile health (mHealth) tools—technological devices that support healthcare services—into the routines workers (HWs) holds potential to enhance delivery. In particular, mHealth tools for patient data monitoring allow HWs quickly access information and detect early warning signs issues. However, while interest in telemedicine has rapidly grown recent years, limited research explored HWs' attitudes toward these or their feature preferences....

10.2196/preprints.73056 preprint EN 2025-02-25

Importance Hemorrhagic shock is a common cause of preventable death after injury. Vasopressor administration for patients with blunt trauma and hemorrhagic often discouraged. Objective To evaluate the association early norepinephrine 24-hour mortality among shock. Design, Setting, Participants This retrospective, multicenter, observational cohort study used data from 3 registries in US France on all consecutive January 1, 2013, to December 31, 2018. Patients were alive admission shock,...

10.1001/jamanetworkopen.2022.34258 article EN cc-by-nc-nd JAMA Network Open 2022-10-07

Healthcare workers (HCWs) caring for COVID-19 infected patients are exposed to stressful and traumatic events with potential severe sustained adverse mental physical health consequences. Our aim was assess the magnitude of outcomes HCWs due prolonged use personal protective equipment (PPE) treating patients.This cross-sectional study assessed symptoms stress, anxiety, insomnia, psychological resilience using Stress Anxiety Viral Epidemics (SAVE) scale, Insomnia Severity Index (ISI),...

10.1016/j.jiph.2023.05.039 article EN cc-by-nc-nd Journal of Infection and Public Health 2023-06-05

The bulk of causal inference studies rules out the presence interference between units. However, in many real-world settings units are interconnected by social, physical or virtual ties and effect a treatment can spill from one unit to other connected individuals network. In these settings, should be taken into account avoid biased estimates effect, but it also leveraged save resources provide intervention lower percentage population where is more effective over susceptible individuals....

10.2139/ssrn.3666101 article EN SSRN Electronic Journal 2020-01-01

SummaryThrough its national health system, Italy provides legal and free abortion through the third month for any reason sixth maternal or fetal problems, but one of public goals specified in Italian legislation is to minimize use. One barrier achieving this goal inconsistent access prescription contraception. Six out 20 regions offer contraception programs paid by system. Tuscany was most recent region introduce such a program, November 2018. The authors studied impact program using...

10.1056/cat.22.0162 article EN NEJM Catalyst 2022-08-17

Abstract Background Type-2 diabetes (T2D) and hypertension (HTN) are two of the most prevalent non-communicable diseases (NCDs): they both cause a relevant number premature deaths worldwide heavily impact national health systems. This study illustrates HTN T2D in four European countries (Albania, Bulgaria, Greece Spain) compares their policies towards monitoring management prevention NCDs as whole. analysis is conducted throughout DigiCare4You Project (H2020)—which implements an innovative...

10.1093/eurpub/ckae070 article EN cc-by European Journal of Public Health 2024-04-04
Andreas Triantafyllidis Sofia Segkouli Katerina Skoumpourdi Christina Mavrogianni Ditila Doracaj and 95 more Florian Toti Natalya Usheva M Mirchev Natalia Giménez-Legarre Ivie Maneschy Yannis Μanios Konstantinos Votis Yannis Μanios Chiara Seghieri Djordje Djokic Konstantinos Votis Konstantinos Makrilakis Lieven Annemans Ruben Willems Rajesh Vedanthan Sabine Dupont Brian Oldenburg Dominika Kwaśnicka Enying Gong Jenny Jung Bernard Yeboah‐Asiamah Asare Vimarsha Kodithuwakku Konstantinos Votis Andreas Triantafyllidis Sofia Segkouli Anastasios Alexiadis Odysseas Kyparissis Anna Spyrou Panagiotis Petridis Christos Tziastas Katerina Skoumpourdi Yannis Μanios Costas A. Anastasiou Konstantinos Tserpes Christos Diou Constantine Tsigos Christina Mavrogianni Eva Karaglani Agathi Ntzouvani Katerina Kontochristopoulou Rafaela Makri Matzourana Argyropoulou Amalia Filippou Maria Chrysini Katerina Vervesou Renos Roussos Niovi Chrysanthakopoulou Thalia Lampidi Irene Rifioti Olga Voureka Renia Terzaki Christina Pelekanou Panayiota Kostarellou Sabine Dupont Elizabeth Dupont Martina Boccardo S Girolami G Vespasiani Teresa Almonti Nazzareno Pierantozzi Eric Notts Giorgia Stoppaccioli Claudia D’Antonio Helen Skouteris Tracy Taylor Melissa Savaglio Konstantinos Makrilakis George S. Stergiou Stavros Liatis George Karamanakos Chrysi Koliaki Αναστάσιος Κόλλιας Eva Zikou Haris Dimosthenopoulos Rajesh Vedanthan Keng-Yen Huang Samrachana Adhikari Jessica Gjonaj Farhan Sahito Dusan Pavlovic Djordje Djokic Arzoo Sahito Gisella Battalova Chiara Seghieri Costanza Tortù Francesca Ferre Violeta Iotova Natalya Usheva Tanya Zlateva Kaloyan Tzochev Yoto Yotov Rosiitsa Chamova Anna Kozhuharova V. Todorova Alexander Mitev Ralitsa Marinova

10.1007/s10209-024-01181-4 article EN Universal Access in the Information Society 2024-11-30

Abstract Worldwide, an estimated 71.1 million people are chronically infected with the Hepatitis C virus (HCV). The advent of direct-acting antivirals (DAAs) has made possible definition elimination targets by 2030. This study aimed to evaluate effectiveness a population-level health intervention expand access HCV treatment in Tuscany Region, Italy. We used individual-level administrative data from region, collected between January 2015 and December 2022. Data include monthly observations on...

10.1101/2024.06.25.24309463 preprint EN cc-by medRxiv (Cold Spring Harbor Laboratory) 2024-06-25

Policy evaluation studies, which intend to assess the effect of an intervention, face some statistical challenges: in real-world settings treatments are not randomly assigned and analysis might be further complicated by presence interference between units. Researchers have started develop novel methods that allow manage spillover mechanisms observational studies; recent works focus primarily on binary treatments. However, many policy studies deal with more complex interventions. For...

10.48550/arxiv.2003.10525 preprint EN other-oa arXiv (Cornell University) 2020-01-01

The bulk of causal inference studies rule out the presence interference between units. However, in many real-world scenarios, units are interconnected by social, physical, or virtual ties, and effect treatment can spill from one unit to other connected individuals network. In this paper, we develop a machine learning method that uses tree-based algorithms Horvitz-Thompson estimator assess heterogeneity spillover effects with respect individual, neighborhood, network characteristics context...

10.48550/arxiv.2008.00707 preprint EN other-oa arXiv (Cornell University) 2020-01-01

Background: Healthcare workers (HCWs) caring for COVID-19 inflicted patients are exposed to stressful and traumatic events with potential severe sustained adverse mental physical health consequences. Our aim was assess the magnitude of outcomes due prolonged use personal protective equipment (PPE) among HCWs treating patients. Methods: This cross-sectional study assessed degree symptoms stress, anxiety, insomnia, psychological resilience using Stress Anxiety Viral Epidemics (SAVE) scale,...

10.2139/ssrn.4339360 preprint EN 2023-01-01

Policy evaluation studies, which assess the effect of an intervention, face statistical challenges: in real-world settings treatments are not randomly assigned and analysis might be complicated by presence interference among units. Researchers have started to develop methods that allow manage spillovers observational studies; recent works focus primarily on binary treatments. However, many studies deal with more complex interventions. For instance, political science, evaluating impact...

10.1177/00491241221147503 article EN Sociological Methods & Research 2023-01-09

Abstract The Regional Health Authority of Tuscany, ITALY, launched in November 2018 a public program providing all contraceptive methods free charge to young residing women after medical evaluation at family counselling centres. We aimed explore the effect regional on five outcomes - abortions, contraception provision, access centres, conception, and outpatient service utilization for six sexually transmitted diseases (STDs). These were retrospectively computed from January 2016 December...

10.1093/eurpub/ckac129.390 article EN cc-by European Journal of Public Health 2022-10-01

In randomized experiments, interactions between units might generate a treatment diffusion process. This is common when the of interest an actual object or product that can be shared among peers (e.g., flyers, booklets, videos). For instance, if intervention information campaign realized through distribution video to targeted individuals, some these treated individuals share they received with their friends. Such phenomenon usually unobserved, causing misallocation in two arms: initially...

10.48550/arxiv.2109.07502 preprint EN other-oa arXiv (Cornell University) 2021-01-01
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