To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure firstname.lastname@example.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Health Technology Assessment (HTA) aims at providing decision makers with relevant data, matching different perspectives, with an evidence-based approach. The most common framework used is the European Network for Health Technology Assessment (EUnetHTA) Core Model (1): HTA may be further supported by a Multi-Criteria Decision Analysis (MCDA) (2,3), leading to a final quantitative synthesis, facilitating the appraisal phase.
This project presents a multi-dimensional comparison of the technologies available for the treatment of diabetic macular edema (Ranibizumab, Aflibercept, Dexamethasone implant and off-label Bevacizumab), comparing three Italian Regions: Lombardy, Liguria and Veneto.
The nine EUnetHTA dimensions were first prioritized by seventeen multidisciplinary evaluators. Thereafter a further nine professionals attributed a 3-level rating score (from “1” not performant, to “3” most performant) to each dimension and sub-dimension, after carefully assessing the three HTA reports. In conclusion, the investigation of statistically significant differences between the attributed scores of the evaluators was conducted, using a multi-variate analysis.
No statistically significant differences were reported in the prioritization of each dimension, except for the equity (more important in Liguria and in Lombardy) and the economic financial dimensions (more relevant in Veneto and in Lombardy).
Notwithstanding the evaluators’ different professional titles, job roles, center size, and various Regional contexts, they attributed similar scores to the HTA dimensions during the appraisal phase (even though conducted in different years, in 2015 and 2016). This finding demonstrates the robustness of both the evaluations and the final MCDA results: i) no statistically inter-regional significant differences emerged regarding Ranibizumab and Aflibercept (p-value >.05); ii) no statistically significant inter-regional differences emerged regarding Dexamethasone, except for the assessments in the clinical dimensions (p-value = .026), since in Lombardy Region the evaluation was carried out earlier in the technology's life-cycle.
Dexamethasone was consistently attributed a higher total score, considering the final normalised weight derived from the MCDA approach (p-value =.001).
Email your librarian or administrator to recommend adding this to your organisation's collection.