| Literature DB >> 31076376 |
Octavio Rodríguez-Gómez1, Adrián Rodrigo2, Fátima Iradier3, Miguel A Santos-Santos4, Hans Hundemer5, Andreea Ciudin6, Lena Sannemann7, Marissa Zwan8, Bridget Glaysher9, Anders Wimo10, Jaka Bonn11, Gunilla Johansson10, Isabel Rodriguez4, Montse Alegret12, Dianne Gove13, Susana Pinó4, Paloma Trigueros2, Miia Kivipelto14, Brandy Mathews15, Antonio Ciudad3, Daniel Ferreira16, Christophe Bintener13, Miren Gurruchaga4, Eric Westman17, Mark Belger18, Sergi Valero12, Peggy Maguire19, David Krivec20, Milica Kramberger11, Rafael Simó6, Inmaculada Pérez Garro2, Pieter Jelle Visser21, Annette Dumas22, Jean Georges13, Frank Jessen23, Bengt Winblad24, Craig Shering25, Neil Stewart9, Laura Campo26, Mercè Boada12.
Abstract
In most, if not all health systems, dementia is underdiagnosed, and when diagnosis occurs, it is typically at a relatively late stage in the disease process despite mounting evidence showing that a timely diagnosis would result in numerous benefits for patients, families, and society. Moving toward earlier diagnoses in Alzheimer's disease (AD) requires a conscientious and collective effort to implement a global strategy addressing the multiple causes hindering patient engagement at different levels of society. This article describes the design of the Models of Patient Engagement for Alzheimer's Disease project, an ongoing EU-funded public-private multinational initiative that will compare four innovative patient engagement strategies across five European countries regarding their ability to identify individuals with prodromal AD and mild AD dementia, which are "hidden" in their communities and traditionally not found in the typical memory clinic setting. The strategies include an online AD citizen science platform, an open house initiative at the memory clinics, and patient engagement at primary care and diabetologist clinics.Entities:
Keywords: Alzheimer's disease; Citizen science; Diagnostic gap; Early diagnosis; Patient engagement; Population-based screening
Mesh:
Year: 2019 PMID: 31076376 DOI: 10.1016/j.jalz.2019.02.003
Source DB: PubMed Journal: Alzheimers Dement ISSN: 1552-5260 Impact factor: 21.566