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Telemedicine in diabetes care has been evolving over several years, particularly since the advent of cloud-connected technologies for diabetes management, such as glucose monitoring devices, including continuous glucose monitoring (CGM) systems, that facilitate sharing of glucose data between people with diabetes and their healthcare professionals in near-real time. Extreme social distancing and shielding in place for vulnerable patients during the COVID-19 pandemic has created both the challenge and the opportunity to provide care at a distance on a large scale. Available evidence suggests that glucose control has in fact improved during this period for people with diabetes who are able to use CGM devices for remote glucose monitoring. The development of telemedicine as part of the standard of care in diabetes faces significant challenges in the European context, particularly in terms of providing consistent and effective care at a distance to large populations of patients while using robust systems that can be supported by large regional and national healthcare services. These challenges include a fragmented approach to healthcare technology assessment and reimbursement, lack of eHealth education and literacy, particularly amongst healthcare professionals, lack of data integration, as well as concerns about electronic health records, patient consent and privacy. Here we review the benefits of and challenges to wider application of telemedicine and telemonitoring in the post-pandemic future, with the aim to ensure that the value of these eHealth services is provided to patients, healthcare providers and health systems. [ABSTRACT FROM AUTHOR]

• To validate models published for late rectal bleeding after RT for prostate cancer. • The analysis was performed on a large international pooled population (1633 pts) • Clinical and dosimetric risk factors were confirmed on the validation set. • Best calibration plots are obtained for volume parameters pointing to medium–high dose. To validate published models for the risk estimate of grade ≥ 1 (G1+), grade ≥ 2 (G2+) and grade = 3 (G3) late rectal bleeding (LRB) after radical radiotherapy for prostate cancer in a large pooled population from three prospective trials. The external validation population included patients from Europe, and Oceanian centres enrolled between 2003 and 2014. Patients received 3DCRT or IMRT at doses between 66–80 Gy. IMRT was administered with conventional or hypofractionated schemes (2.35–2.65 Gy/fr). LRB was prospectively scored using patient-reported questionnaires (LENT/SOMA scale) with a 3-year follow-up. All Normal Tissue Complication Probability (NTCP) models published until 2021 based on the Equivalent Uniform Dose (EUD) from the rectal Dose Volume Histogram (DVH) were considered for validation. Model performance in validation was evaluated through calibration and discrimination. Sixteen NTCP models were tested on data from 1633 patients. G1+ LRB was scored in 465 patients (28.5%), G2+ in 255 patients (15.6%) and G3 in 112 patients (6.8%). The best performances for G2+ and G3 LRB highlighted the importance of the medium–high doses to the rectum (volume parameters n = 0.24 and n = 0.18, respectively). Good performance was seen for models of severe LRB. Moreover, a multivariate model with two clinical factors found the best calibration slope. Five published NTCP models developed on non-contemporary cohorts were able to predict a relative increase in the toxicity response in a more recent validation population. Compared to QUANTEC findings, dosimetric results pointed toward mid-high doses of rectal DVH. The external validation cohort confirmed abdominal surgery and cardiovascular diseases as risk factors. [ABSTRACT FROM AUTHOR]

Objective: To provide an overall estimate of the direct, indirect and total costs of irritable bowel syndrome (IBS) for the adult population of the European countries with universal healthcare coverage., Materials and Methods: We searched MedLine and Scopus databases (up to September 2018) to identify the European studies that evaluated the economic impact of IBS. Mean annual direct, indirect and total per-capita IBS costs were estimated using random-effect single-group meta-analyses of continuous data. All analyses were stratified by payer category (governments, insurance, societal), and the results were expressed as summary mean and 95% CI., Results: A total of 24 studies were included in the meta-analyses. Only two studies evaluated IBS costs in Italy. The pooled summary of direct IBS per-capita cost, obtained from 23 European datasets (n=15,157), was €1837/year (95% CI: 1480-2195), with large differences across payers (from €1183 to €3358, in countries with publicly-funded and insurance-based health systems, respectively). The mean indirect cost, extracted from 13 datasets (n=3978), was €2314/year (95% CI: 1811-2817), again with wide differences across payers. Finally, the meta-analysis estimating the total annual cost, based upon 11 European datasets (n=2757), yielded a summary estimate of €2889/year (95% CI: 2318-3460) per patient, ranging from €1602 (insurance-based health systems) to €3909 (studies adopting a societal perspective)., Conclusions: Considering a conservative estimate of 2,736,700 Italian adults affected by the syndrome, the minimum costs due to IBS in Italy - likely underestimated - range from 6 to 8 billion euro per year. Given the substantial economic burden for patients, healthcare systems and society, IBS should be included among the priorities of the public health agenda.

Objectives: Influenza (vernacular name, flu) is a viral infection that causes a high consumption of resources. Several studies have been carried out to provide an economic evaluation of the vaccination programs against influenza. Nevertheless, there is still a lack of evidence about the dynamic effects resulting from the reduction of the transmission power. This study considers the impact on contagiousness of alternative strategies against influenza in people aged 50-64 in Italy, France, Germany, and Spain., Methods: By using the Influsim 2.0 dynamic model, we have determined the social benefits of different coverage levels in every country compared with the ones currently recommended. We have subsequently performed a Budget Impact Analysis to determine whether the currently recommended coverage results from an optimal budget allocation. A probabilistic sensitivity analysis was also conducted., Results: We found that in Germany, the optimal coverage level is 38.5 percent, in France 32.4 percent, in Italy 32.75 percent, and 28.3 percent in Spain. By extending the coverage level, social saving tends to increase up to 100 percent for France and Italy and up to 80 percent for Germany and Spain., Conclusions: Decision makers should allocate the budget for vaccination against influenza consistently with the estimation of the optimal coverage level and with the dynamic effects resulting from the reduction of the transmission power.