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Tailored e-Health services for the dementia care setting: a pilot study of ‘eHealthMonitor’

Overview of attention for article published in BMC Medical Informatics and Decision Making, July 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
1 news outlet
twitter
1 tweeter

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
212 Mendeley
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Title
Tailored e-Health services for the dementia care setting: a pilot study of ‘eHealthMonitor’
Published in
BMC Medical Informatics and Decision Making, July 2015
DOI 10.1186/s12911-015-0182-2
Pubmed ID
Authors

Sandra Schaller, Velislava Marinova-Schmidt, Jasmin Gobin, Manfred Criegee-Rieck, Lena Griebel, Sabine Engel, Veronika Stein, Elmar Graessel, Peter L Kolominsky-Rabas

Abstract

The European eHealthMonitor project (eHM) developed a user-sensitive and interactive web portal for dementia care: the eHM Dementia Portal (eHM-DP). It aims to provide targeted and personalized support for informal caregivers of people with dementia in a home-based care setting. The objective of the pilot study was to obtain feedback on the eHM-DP from two user perspectives (caregivers and medical professionals), focusing on caregiver empowerment, decision aid, and the perceived benefits of the eHM-DP. The study on the eHM-DP was conducted from March 2014 to June 2014. The methodological approach followed a user-participatory design with a total number of 42 participants. The study included caregivers of people with dementia and medical professionals (MPs) from the metropolitan region of Erlangen-Nürnberg (Bavaria, Germany). Study participants were interviewed face-to-face with semi-structured, written interviews. Caregivers indicated a high degree of perceived support by the eHM-DP and of provided decision aid. In total, 89 % of caregivers and 54 % of MPs would use the eHM-DP if access were provided. The primary benefits participants perceived were the acquisition of individualized information, computerized interaction between caregivers and MPs, empowerment in health-related decisions and comprehensive insights into the progress of the disease. Major recommendations for improving the eHM-DP encompassed: an active search functionality based on predefined terms, the implementation of a chatroom for caregivers, an upload function and alerts for MPs, as well as the overall design. Our study is the first to have provided new insights and results on an interactive and needs-oriented web portal, endeavouring towards empowerment and assistance in decision making for caregivers as well as MPs within the realm of caring for patients with dementia. The acceptance and willingness to use the eHM-DP emphasizes the potential of eHealth services for community-based dementia care settings.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 212 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Switzerland 1 <1%
Unknown 210 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 35 17%
Researcher 34 16%
Student > Ph. D. Student 27 13%
Student > Doctoral Student 17 8%
Student > Bachelor 16 8%
Other 45 21%
Unknown 38 18%
Readers by discipline Count As %
Nursing and Health Professions 37 17%
Medicine and Dentistry 34 16%
Psychology 22 10%
Social Sciences 16 8%
Computer Science 12 6%
Other 41 19%
Unknown 50 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 31 July 2015.
All research outputs
#3,121,163
of 22,818,766 outputs
Outputs from BMC Medical Informatics and Decision Making
#262
of 1,988 outputs
Outputs of similar age
#41,892
of 263,394 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#3
of 42 outputs
Altmetric has tracked 22,818,766 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,988 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 86% 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 263,394 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 83% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.