Prevention of dementia using mobile phone applications (PRODEMOS): A randomized controlled trial in progress: Prevention (nonpharmacological) / Multidomain. (7th December 2020)

• Record Type: Journal Article
• Authors: Eggink, Esmé; van Charante, Eric P Moll; Hoevenaar‐Blom, Marieke P; Andrieu, Sandrine; Hafdi, Melanie; Coley, Nicola; Sadhwani, Shan; Wimo, Anders; Barnes, Linda; Handels, Ron; Kivipelto, Miia; Song, Manshu; Georges, Jean; van Der Groep, Bram; van der Meijden, Mark; Wang, Youxin; Wang, Wei; van Gool, Willem A; van Marwijk, Harm; Brayne, Carol; Richard, Edo
• Is Part Of: Alzheimer's & dementia. Volume 16(2020)Supplement 10
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-12-07
• Subjects: Alzheimer's disease -- Periodicals; Alzheimer Disease -- Periodicals; Dementia -- Periodicals; Démence; Maladie d'Alzheimer; Périodique électronique (Descripteur de forme); Ressource Internet (Descripteur de forme); 616.83
• DOI: 10.1002/alz.043039
• Languages: English
• ISSNs: 1552-5260

Abstract

Abstract: Background: The rising prevalence of dementia will largely occur in low‐ and middle‐income countries. Up to 30% of all dementia cases may be attributable to potentially modifiable risk factors. Therefore, lifestyle interventions targeting these risk factors can potentially prevent or delay the onset of dementia. Mobile Health (mHealth) may be a suitable way to improve accessibility to such prevention strategies in vulnerable and hard to reach populations. We will investigate the implementation and effectiveness of an interactive, coach‐supported mHealth intervention to reduce the risk of dementia by targeting dementia risk factors. Method: Design and participants: Our prospective open‐label blinded endpoint (PROBE) RCT is ongoing in the United Kingdom (UK) and in China. Following a pilot study, enrollment of 2400 participants (1200 in UK and 1200 in China) takes place over 2020. People are eligible if they are 55‐75 years, are of low socio‐economic status (for those in the UK) or from the general population (China), have ≥ 2 dementia risk factors, and have a smartphone. Intervention: Participants will be randomized to a coach‐supported, interactive mHealth platform, facilitating self‐management of dementia risk factors (including hypertension, diabetes, dyslipidemia, overweight, physical inactivity, smoking, and poor diet) or to a control platform with static health information only. The intervention and follow‐up will be 18 months. Outcomes: The primary effectiveness outcome is dementia risk, as measured by the CAIDE dementia risk score. The main secondary outcomes are improvement of individual risk factors and cost‐effectiveness. Implementation outcomes include acceptability, adoption, feasibility, fidelity and sustainability of the intervention. Implementation outcomes will be evaluated using both qualitative and quantitative methods. Result: The mHealth platform has been developed and is being tested in a pilot study. Qualitative studies in China and UK have yielded valuable insights to optimize the dementia prevention intervention tailored to the target population. Conclusion: The current study, targeting populations with a high dementia risk and poor access to preventive care, may provide proof of principle for the implementation potential and effectiveness of a coach‐supported mHealth intervention to reduce the risk of dementia.