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The poll respondents' age distribution reveals that 66.7% (20 out of 30) were

30 years old or less, 20% (6 out of 30) fell into the 30-to-40-year age bracket,

and 13.3% (4 out of 30) were 41 years old or over. Regarding gender, 60%
(18 out of 30) of the participants were male, whereas 40% (12 out of 30) were

female. Out of the total respondents, 30% (9 out of 30) had professional
experience in healthcare/medical and information technology/computer

science, respectively. The remaining 40% (12 out of 30) had diverse

professional backgrounds. Concerning the family history of stroke, 30% (9
out of 30) of the participants reported having a family history of stroke, 46.7%

(14 out of 30) reported not having any family history, and 23.3% (7 out of
30) were unsure.

5.2.3 Results

This chapter presents the survey results, specifically addressing three

fundamental components of the TAM, Perceived Usefulness (PU), Perceived

Ease of Use (PEU), and Behavioural Intention to Use (BI). The results serve
as a basis for understanding user attitudes towards the application and are

crucial for assessing its overall acceptance and effectiveness.

i. Perceived Usefulness (PU)

This section provides the outcomes of user assessments pertaining to the

web application and its many functionalities, in line with the Technology

Acceptance Model (TAM). The survey data highlights key aspects such
the accuracy of stroke risk projections and the dashboard, the educational

value of the app, user confidence in the information supplied, and the app's
impact on proactive health behaviour. Table 5.4 provides a succinct

overview of the users' feedback about perceived utility.

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