THE IMPACT OF INTERNET USAGE ON HEALTH-CARE EXPENDITURES AND SUSTAINABILITY

Introduction: The increasing age, the presence of different diseases that affect the health of individuals and the new opportunities of access to information are changing the process of acquisition of data on health status. Very often, the process of autonomous research of information leads to wrong self-diagnosis with consequent repercussions on health expenditures (e.g.: unnecessary hospitalization) and, generally, on sustainability of health systems. Scope: This work aims to examine the influence of Digital Divide and Internet Usage (DD/IU) on autonomous Health Information Seeking (HIC) process, in order to get useful information about its impact on Healthcare Expenditures per Individual (HEPI). Similarly, this work aims to recognize and understand, from an economical, organizational and technological perspective, the correlation between DD/IU-HIS and HEPI. Methods: To discover the link between DD/IU, HIS and HEPI, we conducted a systematic literature review in order to understand the network of behind these concepts and we applied the Panel Linear Model (PLM) approach in a case study to prove the correlation. Findings: By analysing the literature on between DD/IU and HIS ties have emerged between the re-search topics. These findings have been also revealed by a significative impact. This suggests that, since people live longer, the more individuals access the Internet to get information on health status, the more effective the health expenditure is. All of this has repercussions on the long-term sustainability of the health system, requiring a re-modulation of the services provided, the professionalism and the technologies adopted

A New Framework to Build a Touristic Strategy in Global Destination Management

Globalization age led to creation of new markets and to unveil new scenarios. This contingency highlighted the existence of a broader range of tourist offerings; a factor which, frequently, has undermined the most traditionally established destinations. The model of new destinations must not ignore the peculiarities of territories on they insist creating a unique amalgam and differentiating it from other neighboring or similar destinations. Due to this proliferation of factors that destabilize the governance of tourism management models in the public and private sector, it is necessary to start an analysis of government indicators that consider peculiar aspects of destination management in the era of globalization. For these reasons we conducted an analysis of the business-economic literature about the themes of tourism and governance in tourist destinations and we selected a set of indicators to describe, assess and control extended, slow and sustainable destinations. In this work, we want to illustrate a heuristic approach to build glocal destination based on the pillars of extended, slow and sustainable tourism. From the results of the literature analysis it will be possible to create a framework to build a tourist strategy in glocal destination management, useful to implementation of territorial tourism strategies for both institutional, public and private actors. The use of the key factors of the model could favor the insertion of new tourist routes respecting the cornerstones of the tourism ecosystem of sustainability

The impact of internet usage and knowledge-intensive activities on households’ healthcare expenditures

This paper examines the impact of the internet usage and knowledge intensive activities on households’ healthcare expenditures Similarly, the paper aims to recognize and understand, from a value-creation perspective, the correlation between: internet access of households (IA), individuals frequently using the internet (IU), individuals searching on internet for health-related information (HI), payments made by households for healthcare (PHH), expressed as euro per inhabitant and employment in knowledge-intensive activities (KIA). The approach utilized in the present study consists of two steps. First, a theoretical framework was conducted to determine the existing relationship between major variables. Next, the Vector Autoregressive (VAR) approach was applied in a case study at European level to prove the three hypothesis we consider. By analyzing the connection between the major variables, a positive and long-lasting impulse response function was revealed, followed by an ascending trend. This suggests that a self-multiplying effect is being generated; and it reasonable to assume that the more individuals use the Internet, the more electronic acquisitions occur. We can thus reasonably conclude that the improvement of the internet usage and knowledge intensive activities on households’ healthcare expenditures process is strongly dependent on people’s capability. Improving IU and KIA is the new reading key in the decision-making process in health system approach

The Indirect Impact of COVID-19 on Major Clinical Outcomes of People With Parkinson's Disease or Parkinsonism: A Cohort Study

BackgroundThe indirect impact of the COVID-19 epidemic on major clinical outcomes of people with Parkinson's disease (PD) or other parkinsonism is unknown. ObjectivesThe study aimed to (1) describe changes in healthcare services during the first epidemic bout in people with PD or parkinsonism; (2) compare the occurrence of hospitalization for any PD-related major clinical outcomes in 2020 with 2019; (3) investigate the factors, including changes in healthcare services, associated with major clinical outcomes and death. MethodsAll healthcare services of the province of Bologna and major clinical outcomes were assessed through a record linkage study (ParkLink Bologna) using clinical data and health databases. Same analyses were performed in a random cohort of controls matched for age, sex, district of residence, and comorbidities with the ParkLink cohort (ratio of 1:10). ResultsA cohort of subjects with PD (759) or other parkinsonism (192) was included together with a cohort of controls (9,226). All indicators of healthcare services dropped at least below 50% during the lockdown period in all cohorts, mostly impacting physiotherapy in people with PD (-93%, 95% CI 88-96%). In 2020, compared to 2019, a three-fold risk of major injuries (RR 3.0, 95% CI 1.5-6.2) and infections (RR 3.3, 95% CI 1.5-7.2), excluding COVID-19, was observed only in people with PD, and neither in people with parkinsonism nor in controls. Decreased physiotherapy was associated with the occurrence of at least one major clinical outcome (OR 3.3, 95% CI 1.1-9.8) in people with PD. Experiencing at least one major clinical outcome was the strongest risk factor for death (OR 30.4, 95% CI 11.1-83.4) in people with PD. ConclusionsDuring the first COVID-19 epidemic peak, healthcare services were drastically reduced in a province of northern Italy, regardless of the disease condition. However, compared to 2019, in 2020, only people with PD had a higher risk of major clinical outcomes, that were associated with higher mortality. Strategies to maintain physical activity in people with PD should be implemented in possible future health emergencies

Metabolite and lipoprotein profiles reveal sex-related oxidative stress imbalance in de novo drug-naive Parkinson's disease patients

Parkinson's disease (PD) is the neurological disorder showing the greatest rise in prevalence from 1990 to 2016. Despite clinical definition criteria and a tremendous effort to develop objective biomarkers, precise diagnosis of PD is still unavailable at early stage. In recent years, an increasing number of studies have used omic methods to unveil the molecular basis of PD, providing a detailed characterization of potentially pathological alterations in various biological specimens. Metabolomics could provide useful insights to deepen our knowledge of PD aetiopathogenesis, to identify signatures that distinguish groups of patients and uncover responsive biomarkers of PD that may be significant in early detection and in tracking the disease progression and drug treatment efficacy. The present work is the first large metabolomic study based on nuclear magnetic resonance (NMR) with an independent validation cohort aiming at the serum characterization of de novo drug-naive PD patients. Here, NMR is applied to sera from large training and independent validation cohorts of German subjects. Multivariate and univariate approaches are used to infer metabolic differences that characterize the metabolite and the lipoprotein profiles of newly diagnosed de novo drug-naive PD patients also in relation to the biological sex of the subjects in the study, evidencing a more pronounced fingerprint of the pathology in male patients. The presence of a validation cohort allowed us to confirm altered levels of acetone and cholesterol in male PD patients. By comparing the metabolites and lipoproteins levels among de novo drug-naive PD patients, age- and sex-matched healthy controls, and a group of advanced PD patients, we detected several descriptors of stronger oxidative stress

Heterogeneity of prodromal Parkinson symptoms in siblings of Parkinson disease patients

Abstract: A prodromal phase of Parkinson’s disease (PD) may precede motor manifestations by decades. PD patients’ siblings are at higher risk for PD, but the prevalence and distribution of prodromal symptoms are unknown. The study objectives were (1) to assess motor and non-motor features estimating prodromal PD probability in PD siblings recruited within the European PROPAG-AGEING project; (2) to compare motor and non-motor symptoms to the well-established DeNoPa cohort. 340 PD siblings from three sites (Bologna, Seville, Kassel/Goettingen) underwent clinical and neurological evaluations of PD markers. The German part of the cohort was compared with German de novo PD patients (dnPDs) and healthy controls (CTRs) from DeNoPa. Fifteen (4.4%) siblings presented with subtle signs of motor impairment, with MDS-UPDRS-III scores not clinically different from CTRs. Symptoms of orthostatic hypotension were present in 47 siblings (13.8%), no different to CTRs (p = 0.072). No differences were found for olfaction and overall cognition; German-siblings performed worse than CTRs in visuospatial-executive and language tasks. 3/147 siblings had video-polysomnography-confirmed REM sleep behavior disorder (RBD), none was positive on the RBD Screening Questionnaire. 173/300 siblings had <1% probability of having prodromal PD; 100 between 1 and 10%, 26 siblings between 10 and 80%, one fulfilled the criteria for prodromal PD. According to the current analysis, we cannot confirm the increased risk of PD siblings for prodromal PD. Siblings showed a heterogeneous distribution of prodromal PD markers and probability. Additional parameters, including strong disease markers, should be investigated to verify if these results depend on validity and sensitivity of prodromal PD criteria, or if siblings’ risk is not elevated