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Currently submitted to: JMIR Formative Research

Date Submitted: Nov 12, 2020
Open Peer Review Period: Nov 12, 2020 - Jan 7, 2021
(currently open for review)

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

A Digital Platform for Facilitating Personalized Dementia Care in Nursing Homes: A Formative Evaluation Study

  • Armagan Albayrak; 
  • Gerd Kortuem; 
  • Tischa J. M. van der Cammen



Person-centered care is key to the wellbeing of people with dementia. A large quantity of personal data can be collected with the development of the Internet of Things, which has the potential to facilitate person-centered care for people with dementia. Yet, there are limited assistive technologies developed for this purpose, and the user acceptance for assistive technologies is low in nursing homes. Through a data-enabled design approach, a digital platform was developed for helping the care team to personalize the management of behavioral and psychological symptoms for people with dementia in nursing homes.


This study aims to evaluate the digital platform from three aspects, in a real-life context with potential users. First, its technical feasibility in collecting sufficient data for pattern analysis; second, the types of insights and actions generated from the potential users by using it, if any; third, its perceived usefulness and its future improvements that potential users would like to see.


The digital platform was deployed in a nursing home for seven weeks, and the data collected were first analyzed by the researchers for a technical feasibility check. The data were then visualized and presented to the potential users via the digital platform. The potential users were asked to analyze the visualizations and were interviewed on 1) the insights and actions generated, if any; 2) the usefulness of the digital platform and 3) what could be improved.


The data collected in the digital platform demonstrate its technical potential to reveal behavior patterns for PwD. The insights generated by the potential users were categorized into “client level”, “ward level” and “team level”. The actions taken by the potential users were classified into “investigation” and “implementation”. The user acceptance varied across potential users, and three aspects of improvements for the digital platform were identified.


This study provides the first evidence for the technical feasibility of the digital platform; besides, it offers future researchers some recommendations on how to integrate assistive technologies in the nursing home context from exploring the types of insights and actions identified, the varied perceived usefulness, and the areas of improvement for the digital platform.


Please cite as:

WANG G, Albayrak A, Kortuem G, van der Cammen TJM

A Digital Platform for Facilitating Personalized Dementia Care in Nursing Homes: A Formative Evaluation Study

JMIR Preprints. 12/11/2020:25705

DOI: 10.2196/preprints.25705


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