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P1. Assistive technologies

Detailed programme and abstracts

P1.1. Factors influencing implementation of Assistive Technologies for people with dementia; lessons learnt

VAN DER ROEST Henriëtte1, MEILAND Franka2, FRANCO Manuel3, CHRISTIE Hannah4, DRÖES Rose-Marie2, DE VUGT Marjolein4

1Trimbos Institute, Utrecht, Netherlands, 2Amsterdam UMC location VUmc, Amsterdam, Netherlands, 3Zamora Hospital, Salamanca University, Zamora, Spain, 4Maastricht University, Maastricht, Netherlands

Background: In the past decades, many efforts have been made in the development and evaluation of Assistive Technologies in dementia care. The progress in this field is promising but large-scale deployment of technologies in dementia care remains a challenge. Knowledge about implementation issues, may aid in preparing strategies for successful implementation of assistive technologies. The objective of this new initiative of the INTERDEM Taskforce Assistive technologies is to gain insight into factors related to successful and unsuccessful implementation of assistive technologies promoting social health for people with dementia.

Methods: An online survey was sent in Autumn 2019 to all INTERDEM members (n=206), researchers in the field of psychosocial dementia care in Europe and beyond. Members experienced with Assistive Technologies were invited to answer questions about (un) successful implementation of specific technologies. The survey addressed issues based on literature regarding implementation theories and frameworks, and practice. The results will be summarized and discussed in focus groups of relevant stakeholders.

Results: Forty researchers responded (19%) of whom 29 did not have experience with the topic. The other 21 researchers from Denmark, Czech Republic, France, Hongkong, the Netherlands and United Kingdom described in total 11 successfully and 9 unsuccessfully implemented technologies. Implementation issues were mentioned for different types of technologies, such as pill dispensers, an Alzheimer game, social robots and monitoring technology for safety.

The presentation will address implementation issues related to the properties of the device; characteristics of the users and context; policy, laws and regulations; implementation strategies; and outcomes of implementation of the Assistive Technologies.

Discussion: Successful implementation of Assistive technologies in different care settings can help provide adequate care and support for the growing number of people with dementia in the coming decades. Based on this study, recommendations for successful implementation of Assistive Technologies in dementia care will be provided.

P1.2. Best Practice Guidance Technology in Dementia – Recommendations from INDUCT Network Updated

DROES Rose-Marie1, VERMEER Yvette2, LIBERT Sebastien2, GABER Sophie3, WALLCOOK Sarah3, RAI Harleen4, CAVALCANTI BARROSO Aline4, VAN SANTEN Joeke1, MANGIARACINA Floriana1, BEENTJES Kim1, BARTELS Sara5, CHRISTIE Hannah5, MIRANDA Rose6, VAN DAEL Annelien6, SHIELLS Kate7, PINTO BRUNO Ángel C.8,  DIAZ  BAQUERO Angie Alejandra9, VAN DEN BLOCK Lieve10, PIVODIC Lara10, NYGARD Louise3, FRANCO MARTIN Manuel9, PEREA Victoria9, HIGGS Paul2, HOLMEROVA Iva7, MALINOWSKY Camilla3, MEILAND Franka1, VAN DER ROEST Henriëtte9, SCHNEIDER Justine4, VAN STRATEN Annemieke8, VERHEY Frans5, DE VUGT Marjolein5, ORRELL Martin4

1Amsterdam UMC, location VUmc, Amsterdam, Netherlands, 2University College London, London, United Kingdom, 3Karolinska Institutet, Stockholm, Sweden, 4University of Nottingham, Nottingham, United Kingdom, 5Maastricht University, Maastricht, Netherlands, 6VU Brussels, Brussels, Belgium, 7Charles University, Prague, Czech Republic, 8Vrije Universiteit, Amsterdam, Netherlands, 9Universidad de Salamanca, Salamanca, Spain, 10Vrije Universiteit Brussels, Brussels, Belgium

INDUCT, the Interdisciplinary Network for Dementia Using Current Technology, is a Marie Sklodowska Curie funded Innovative Training Network, which developed a multi-disciplinary, intersectorial educational research framework for Europe with the aim to improve technology and care for people with dementia and to provide the evidence to show how technology can improve the lives of people with dementia. Within INDUCT (2016-2020) 15 Early Stage Researchers worked on projects in three areas: Technology to support every day life; technology to promote meaningful activities; and health care technology.

Transversal objectives of INDUCT were: 1) To determine the practical, cognitive and social factors needed to make technology more useable for people with dementia; 2) To evaluate the effectiveness of specific contemporary technology; and 3) To trace facilitators and barriers for implementation of technology in dementia care.

First recommendations resulting from the INDUCT projects were integrated in a web-based digital Best Practice Guidance on Human Interaction with Technology in Dementia ( which was launched in October 2019. Final recommendation of all projects will be presented at the congress. These recommendations aim to support different target groups, i.e. people with dementia, formal and informal carers, policy makers, designers and researchers. By means of a selection tool each target group can easily find the for them relevant recommendations in the Best Practice Guidance. The main aim of the Best Practice Guidance is to improve the development, usage and implementation of technology for people with dementia in the three mentioned technology areas.

This Best Practice Guidance is the result of the intensive collaborative partnership of INDUCT with academic and non-academic partners as well as the involvement of representatives of the different target groups throughout the INDUCT project.

Acknowledgements: The research presented was carried out within the Marie Sklodowska Curie International Training Network (ITN) action, H2020-MSCA-ITN-2015, grant agreement number 676265.

P1.3. Playful Multimodal Activation with Assessment of Neuropsychological Profiles in Alzheimer’s Disease

PALETTA Lucas1, RUSSEGGER Silvia1, PSZEIDA Martin1, MURG Sandra1, ORGEL Thomas1, JOS Anna2, SCHUSTER Eva2, STEINER Josef2, DINI Amir1, KOSTER Ernst3, FELLNER Maria4

1JOANNEUM RESEARCH Forschungsgesellschaft mbH, Graz, Austria, 2Sozialverein Deutschlandsberg, Deutschlandsberg, Austria, 3Ghent University, Ghent, Belgium, 4digitAAL Life GmbH, Graz, Austria

A key problem in developing interventions in dementia care is the lack of knowledge about the mental processes and individual dependencies between functional impairments evolving over time. Neuropsychological profiles reflect the impact of the disease on distinctive neuroanatomic networks associated with complex cognitive domains. Recently serious games have been successfully validated with high potential as dementia biomarkers but increased estimation accuracy and personalised neuropsychological profiling is still required.

Tablet-PC-based intervention was applied within 10 weeks in Austria in terms of playful multimodal training and activation, engaging persons with dementia (PwD) with Alzheimer’s disease (AD) living at home (n=15, age M=81.7 years, MoCA score M=17.9). PwDs interacted with an integrated version of two serious games: 15 PwD played ‘MIRA’, a playful version of the anti-saccade task. 8 PwD played ‘MMA’, a suite of cognitive exercises (puzzle, memory, text gap filling). The games were introduced and assisted by trainers, some PwD learned to play alone.

The score of gaze-based MIRA showed significant correlation with MoCA score (Rho= .713**) and enabled individual MoCA score estimates with errors of less than M=2.6 MoCA points. MMA showed correlation with MoCA (Rho=p=.755*) and further MoCA subscores so that the neuropsychological profile could be established including impairments in visuospatial operations, attention, abstraction, language and recall.

The work outlined within the EU project PLAYTIME indicates successful steps towards daily use of gaze-based games. MIRA together with the MMA training enables continuous estimates of Alzheimer’s mental state in general but also to estimate individual neuropsychological profiles to identify personal impairments and their course over time. The playful training app was very well accepted by PwD users and offers with its pervasive mental assessment tool a large potential for future long-term monitoring in numerous AD care services.

P1.4. Evaluating a Symptom Tracking Mobile App for Use in People with Dementia

STANLEY Justin1, DUNN Taylor1, STANOJEVIC Sanja1, ROCKWOOD Kenneth1-2

1DGI Clinical, Halifax, Canada, 2Dalhousie University, Halifax, Canada

Background: To address heterogeneity in dementia expression, numerous standardized tests are used for diagnosis and prognosis. SymptomGuide®-dementia offers an individualized approach to identify the factors that are most meaningful to patients. SymptomGuide®-dementia is a mobile app which allows caregivers to track only the symptoms of greatest importance to them. Here, we evaluated the feasibility of SymptomGuide®-dementia and described symptoms reported by caregivers.

Methods: SymptomGuide®-dementia is a freely accessible tool developed from qualitative analysis of Goal Attainment Scaling goals. To assess feasibility, we monitored the number of users, evaluated the completion rate and symptoms captured by the caregivers. Data were collected from launch in 2006 and exported on 2020-05-14. Users provided consent for data to be used for descriptive research. 

Results: Of the 4724 SymptomGuide®-dementia profiles, 4193 were from the general public and 531from the clinic settings. Patients were on average older adults (74±13 and 75±11 years), mostly women (62.9% and 55.1%), and with Alzheimer disease (49.7% and 59.0%), respectively. Clinic users were more likely to rate symptom change (54.3%) compared to the general public (13.2%). Users tracked a median of 4 symptoms (interquartile range 2-8), the most frequent being “Memory of Recent Events”, “Repetitive Questions/Stories”, and “Irritability/Frustration”. These symptoms were not often rated ‘most important’, however. The most important were generally related to aspects of everyday life, such as “Looking after Grandchildren”, “Travel”, and “Hobbies/Games”.

Conclusions: SymptomGuide®-dementia offers a feasible approach to symptom tracking and a responsive approach to rating change in clinical settings. Individualizing care by allowing patients and caregivers the opportunity to help assess efficacy can be beneficial. It is essential to consider not only the size of the effect, but also whether that response is meaningful to patients.

P1.5. TeNDER - Co-creation of the intelligent support system with patients, carers and professionals


1Spominčica - Alzheimer Slovenija, Ljubljana, Slovenia, 2Universidad Politécnica de Madrid, Madrid, Spain, 3Servicio Madrileño de Salud, Madrid, Spain, 4The Visual Computing Lab/CERTH-ITI, Thessaloniki, Greece, 5Schön Klinik Bad Aibling, Bad Aibling, Germany, 6Madrid Parkinson Association, Madrid, Spain, 7Department of Biomedicine and Prevention, University Tor Vergata, Rome, Italy

The Project TeNDER (affecTive basEd iNtegrateD carE for betteR Quality of Life) is developing an ICT based integrated care support system for patients with Dementia, Parkinson’s disease or cardiovascular diseases, their carers, social care and healthcare professionals. The project involves 13 partners: universities, health care organizations, patients’ associations, policy makers, industry and SMEs from 7 European countries, sharing the common aim to improve the quality of life of patients, carers and their care professionals. TeNDER takes into consideration existing services in Slovenia, Germany, Italy and Spain, where 5 large scale pilots are planned. The system is being co-created with end users, who are sharing their needs and wishes regarding the developed supporting technologies and services. Different "Personas", use cases and scenarios were designed with persons with different health conditions, together with people that surround them and taking into account the needs of care professionals. Use cases and scenarios are in the process of testing and validating.

During pilots, users will be involved in the process of iterative testing and validation of technologies (sensors, cameras that capture movement, affective recognition technology and basic health records) and higher-level services (active monitoring, warning and reporting, communication brokerage, virtual assistance and patient empowerment via data visualisation and personalised recommendations). Throughout TeNDER pilots usability and acceptance, together with the Quality of Life of users will be assessed and information about the services developed will be collected with surveys and interviews. With this approach, TeNDER creates the opportunity for patients, careers and professionals, to provide contribution through co-design process. Created services will alongside also foster opportunities for facilitating communication between social and health care professionals, and extending the autonomy of patients that would live more independently.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 875325.



Last Updated: Tuesday 30 June 2020


  • Acknowledgements

    The 30th AE Conference received funding under an operating grant from the European Union’s Health Programme (2014-2020). Alzheimer Europe gratefully acknowledges the support of all conference sponsors.
  • European Union
  • Roche