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DEDICATE: proposal for a conceptual framework to develop dementia-friendly integrated eCare support

Overview of attention for article published in BioMedical Engineering OnLine, September 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#32 of 612)
  • High Attention Score compared to outputs of the same age (81st percentile)

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1 blog
4 tweeters


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79 Mendeley
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DEDICATE: proposal for a conceptual framework to develop dementia-friendly integrated eCare support
Published in
BioMedical Engineering OnLine, September 2018
DOI 10.1186/s12938-018-0552-y
Pubmed ID

Sara Marceglia, Michael Rigby, Albert Alonso, Debbie Keeling, Lutz Kubitschke, Giuseppe Pozzi


Evidence shows that the implementation of information and communication technologies (ICT) enabled services supporting integrated dementia care represents an opportunity that faces multi-pronged challenges. First, the provision of dementia support is fragmented and often inappropriate. Second, available ICT solutions in this field do not address the full spectrum of support needs arising across an individual's whole dementia journey. Current solutions fail to harness the potential of available validated e-health services, such as telehealth and telecare, for the purposes of dementia care. Third, there is a lack of understanding of how viable business models in this field can operate. The field comprises both professional and non-professional players that interact and have roles to play in ensuring that useful technologies are developed, implemented and used. Starting from a literature review, including relevant pilot projects for ICT-based dementia care, we define the major requirements of a system able to overcome the limitations evidenced in the literature, and how this system should be integrated in the socio-technical ecosystem characterizing this disease. From here, we define the DEDICATE architecture of such a system, and the conceptual framework mapping the architecture over the requirements. We identified three macro-requirements, namely the need to overcome: deficient technology innovation, deficient service process innovation, and deficient business models innovation. The proposed architecture is a three level architecture in which the center (data layer) includes patients' and informal caregivers' preferences, memories, and other personal data relevant to sustain the dementia journey, is connected through a middleware (service layer), which guarantees core IT services and integration, to dedicated applications (application layer) to sustain dementia care (formal support services, FSS), and to existing formal care infrastructures, in order to guarantee care coordination (care coordination services, CCS). The proposed DEDICATE architecture and framework envisages a feasible means to overcome the present barriers by: (1) developing and integrating technologies that can follow the patient and the caregivers throughout the development of the condition, since the early stages in which the patient is able to build up preferences and memories will be used in the later stages to maximise personalization and thereby improve efficacy and usability (technology innovation); (2) guaranteeing the care coordination between formal and informal caregivers, and giving an active yet supported role to the latter (service innovation); and (3) integrating existing infrastructures and care models to decrease the cost of the overall care pathway, by improving system interoperability (business model innovation).

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 14%
Student > Master 11 14%
Student > Bachelor 10 13%
Researcher 9 11%
Student > Postgraduate 4 5%
Other 17 22%
Unknown 17 22%
Readers by discipline Count As %
Nursing and Health Professions 14 18%
Psychology 8 10%
Business, Management and Accounting 8 10%
Medicine and Dentistry 8 10%
Social Sciences 6 8%
Other 15 19%
Unknown 20 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 March 2019.
All research outputs
of 14,480,135 outputs
Outputs from BioMedical Engineering OnLine
of 612 outputs
Outputs of similar age
of 272,005 outputs
Outputs of similar age from BioMedical Engineering OnLine
of 1 outputs
Altmetric has tracked 14,480,135 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 612 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 272,005 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them