## 2 Materials and Methods
### Study Variables and Data Collection  
The main objective was the implementation of a system for a dual-task training program (COGNIVITRA). The secondary objectives included the assessment of the usability and UX of the system's features among the major subgroups of target users, the impact of its implementation strategy on the population's access to specialized cognitive care, and the economic impact at the institutional level. The data collected included sociodemographic data from the participants. Regarding the usability and UX evaluation, a test with a session script was delivered to the user in which they had to perform the tasks described in it while their performance in the observation grid (number of errors, task execution time, and success/failure) and the occurrence of unforeseen events in the critical incident log sheet performance were recorded. In addition, the System Usability Scale (SUS), the International Classification of Functionality-based Usability Scale (ICF-US), and the Unified Theory of Acceptance and Use of Technology (UTAUT) were used to measure intention of use after the test was performed. Finally, user satisfaction was recorded through general satisfaction assessment questions. In the case of the workflow and impact, patients were asked about topics such as the utility of the COGNIVITRA system, impact on both patients and caregivers, and functionalities that could be changed or enhanced. In terms of the overall effectiveness, instruments such as the EQ-5D-5L questionnaire for the assessment of patients' quality of life, the Timed 25-Foot Walk (T25-FW), and a dual-task activity consisting of the repetition of the T25-FW counting backward from 100, and the Montreal Cognitive Assessment Scale (MoCA) were used. Data were gathered at baseline and after 6 and 12 weeks from the start of the trial, although in the latter case, only the overall satisfaction questionnaire was assessed. The SUS is a generic usability rating scale that consists of a 10-item questionnaire scored on a 5-point Likert scale, with the final score ranging from 0 to 100, where higher values indicate better usability. While scores of \(\geq\)68 are considered above average, values under that value are considered below average [16]. The ICF-US is a usability assessment scale that is based on the opinion of the observer and consists of two subscales. The first subscale, the ICF-US I, allows for a comprehensive usability assessment, whereas the second subscale, the ICF-US II, allows for the classification of the application components as barriers and facilitators, identifying the application's strengths and weaknesses. The ICF-US I scores all items from \(-\)3 to 3, representing the most and least positive answers, respectively. The score ranges between \(-\)30 and 30, and whenever a user scores below 10, there is room for improvement, and the ICF-US II should be applied. The ICF-US II scale is composed of items that identify different application components (e.g., menu navigation, image, or interaction), consisting of three parts (i.e., application components, detailed usability, and overall assessment) that are classified as either barriers or facilitators. Whenever a component is classified as a barrier, the evaluator must identify the characteristic that is causing the component to be classified as a barrier, allowing the identification of which items require more work to improve the application [17; 18]. The UTAUT, whose values range from 1 to 7, was only applied to the professional's group and is a technology acceptance model formulated from the conceptual and empirical integration of eight previously developed models. This model assesses the intention to use and effective use of technological solutions, enabling the identification of key aspects to improve the solution to increase exploitation by potential users. It consists of a set of items that are scored on a 7-point Likert scale, with a value of 1 corresponding to \"strongly disagree\" and a value of 7 corresponding to \"strongly agree\" [19].