Table 2.
Type of literature | # | Apps featured | Main themes | Date | App target audience | Summary |
---|---|---|---|---|---|---|
Clinical Trial or Single App Design Scheme | 11 | • AltoidaML • MyMindCheck • InspireD • NPI • SmartPrompt • NMI • Alzheed • MCS |
• Therapy/Treatment (1) • App Design/Quality (3) • Monitoring Symptoms (3) • Screening (4) |
• 2022 (2) • 2021 (5) • 2020 (1) • 2019 (2) • 2015 (1) |
• PwD (7) • Caregivers (4) • Healthcare professionals (1) • MCI (3) • Older adults/controls (6) |
Tracking use of apps in PwD; Co-design is important for use/adherence; Potential measurement of longitudinal symptoms; Tracking eye-gaze (2); CV risk factor improvement in individuals at risk; Apps are pragmatic; audio recordings, gait, sit-to-stand tests; monitoring BPSD progression; tapping speeds/gait/voice; Screening apps in rural areas; Reminder apps usability; Machine learning for long-term prediction models of MCI progression; Privacy risks mentioned consistently |
Literature Review or Multi-App Analysis | 12 | • Dementia Talk • Alzheimer's Manager • CogSelfTest • BrainCheck Memory • BrainTest • MemTrax • Minstrong Health • NeuraMetrix • Altoida • DementiaTest • ConsultGeri • MCS • eSLUMS • Mental Health Test • iVitality • Color-Shape Test • DelApp • MOBI-COG • Dementia Screener • Edinburgh Dementia App |
• App Design/Quality (2) • Screening (4) • Monitoring Symptoms (5) • Privacy (2) |
• 2022 (2) • 2021 (1) • 2020 (2) • 2019 (2) • 2018 (2) • 2017 • 2015 • 2014 |
• Older Adults (3) • Caregivers (3) • PwD (7) |
Most cognitive games on commercially available apps are not associated with clinical research; Many apps are available for caregivers but most do not have tracking abilities; Apps designed for PwD are often difficult for users due to cognitive impairments; Privacy and data collection mentioned consistently; Great potential for mHealth but current shortage of apps for PwD; Screening potential for cognitive impairment is great with mobile apps but validation is difficult, technological fluency is a concern; Passive monitoring is a potential screening tool via wearable technologies, speech detection |
Article | 2 | n/a | • Monitoring Symptoms (1) • Potential App Design (1) |
• 2020 • 2019 |
PwD (2) | AI shows accuracy in detecting speech changes between AD and control groups; Privacy is a concern; Co-design of apps with users and professionals is important |
Search inclusion criteria are listed in Table 1. Some articles had more than one main theme and multiple target audiences. People living with Dementia (PwD). Cardiovascular risk (CV).