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Results The retrospective study showed that after a year of IT, a statistically significant decrease from baseline occurred in all the resources quantified: need for unscheduled medical care, urgent care visits and specialist diagnostic tests, medication, and days off work (Pselleck After the monetary quantification of the above resources used in both scenarios, there was a decrease of 64% in direct health care costs (unscheduled medical care, tests, and medication), excluding those related to IT and 94% in indirect costs considered in the model (days of sick leave). Following the completion of the economic model, savings were estimated per patient at 6 years, comparing costs of those receiving IT and those not receiving IT, from the perspective of the patient, the NHS, and the society. Figure 1A presents the annual and cumulative cost for the patient in each option (IT versus non-IT). Figure 1B replicates the analysis from the perspective INPP5D of the NHS and Figure 1C does so from the social perspective. Figure 1 Annual expenditure from the different perspectives considered. Sensitivity analysis Sensitivity analysis is represented by the tornado diagram (Figure 2), which shows the fluctuation in estimated savings by considering the variations in cost of items. While the most influential click here variable was ��daily medication��, in all simulated cases, there were estimated savings associated with the use of IT. Figure 2 Sensitivity analysis. Univariate sensitivity analysis was performed to determine which variables (excluding the price of IT) could influence modeling in a major way, resulting in ��as needed medication�� and ��daily medication�� as the variables that had the most impact on the outcome. For inclusion of these variables in the model, they were monetarily quantified (cost per mL, tablet, puff, and inhaling) based on the amount of antihistamines, eye drops, bronchodilators, and corticosteroids strictly provided and reported in the CRF, but without considering the purchase in a box or a container, or its expiration. For this reason, there is an underestimation of the savings associated with the two high-impact variables in the model, which were estimated conservatively.