# User Experience of Older People While Using Digital Health Technologies: A Systematic Review
## 3 Results
\begin{table}
\begin{tabular}{p{56.9 pt} p{56.9 pt} p{56.9 pt} p{56.9 pt} p{56.9 pt} p{56.9 pt}} \hline
**Author** & **Year** & **Location** & **Subjects** & **Questionnaires** & **Digital Health Technology** \\ \hline [PERSON] et al. [34] & 2021 & Greece & 14 patients with heart failure (mean age, 64.9 \(\pm\) 9.7 years) & PSSUQ & mHealth app (the Hellenic Educational Self-case and Support Heart Failure app [ThessHF app]) & mHealth app [ThessHF app] \\ [PERSON] et al. [35] & 2020 & Norway & 20 community-dwelling adults (mean age, 68.7 \(\pm\) 5.2 years) & SUS  UEQ & 3 smartphone app-based self-tests of physical function \\ [PERSON] et al. [36] & 2018 & Australia & 96 older adults living independently (aged \(\geq\) 55 years) & Customized questionnaire based on the TFI & Wearable device that collect health data such as heart rate, respiration rate, blood pressure, activity (steps, calories), sleep, mood, and diet \\ [PERSON] et al. [37] & 2020 & China & 25 elders (mean age, 71.5 \(\pm\) 4.1 years) & UEQ-S & AR-based exegame system to reduce fall risk \\ [PERSON] et al. [38] & 2022 & Portugal & 110 community-dwelling older adults (mean age, 68.4 \(\pm\) 3.1 years) & Customized questionnaire based on the TAM SUS & Wearable activity tracker (Xiaomi Mi Band 2) \\ [PERSON] et al. [39] & 2021 & Ireland and Belgium & 120 older persons with multimorbidity (mean age, 74.2 \(\pm\) 6.4 years) & USEQ & Digital platform to Support Self-management of Multiple Chronic Conditions (ProACT) \\ [PERSON] et al. [40] & 2021 & Taiwan & 29 older people living independently & Customized questionnaire based on the TAM and the Almee models & Buddy robot (emotional companion-type robot) \\ [PERSON] et al. [41] & 2017 & South Korea & 313 adults aged \(>\)40 years & Original questionnaire based on the relevant literature & mHealth application \\  & & & (1) 40 patients aged \(>\)65 years & (1) & SUS, PSSUQ (2) & Tele-social-care platform \\ [PERSON] et al. [42] & 2020 & Italy & (2) & 19 older adults (mean age, 73 \(\pm\) 6 years) & Customized questionnaire based on the TAM SUS & Aged care technology \\ [PERSON] et al. [43] & 2022 & Australia & 133 older adults aged \(\geq\)65 years & US & \\ [PERSON] et al. [44] & 2020 & Spain & 42 inpatients aged \(\geq\)45 years & US & \\  & & & & 19 older adults (mean age, 73 \(\pm\) 6 years) & Customized questionnaire based on the TAM SUS & FriWalk robotic walker \\ [PERSON] et al. [45] & 2021 & Spain & 37 older adults (mean age, 82.1 \(\pm\) 5.4 years) & US & \\  & & & & 19 older adults (mean age, 82.1 \(\pm\) 5.4 years) & US & \\  & & & & 19 older adults (mean age, 67 \(\pm\) 4 years) & USQ & Technological ecosystem for remote follow-up \\ \hline \end{tabular}
\end{table} 
Table 3: Descriptive analyses of the 17 papers included in the present review. Table 4 describes the standardized questionnaires used to assess the UX of digital health technologies among older people and provides information on their reliability and validity, the presence of manuals, and benchmarks. Among the seventeen studies identified, seven utilized original or customized questionnaires [36; 38; 40; 41; 43; 44; 45], of which four relied exclusively on customized questionnaires. [6; 10; 11; 13]. Of the six original or customized questionnaires, four were developed based on the Technology Acceptance Model (TMT) [38; 43; 44; 45], one was created incorporating elements of both the TMT and the Almere model [40], another was derived from the Tilburg Frailty Indicator (TFI) [36], and one was created using relevant literature related to healthcare services, mobile services, and information communication services [41] (Table 3).