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Trust in telemedicine portals for rehabilitation care: an exploratory focus group study with patients and healthcare professionals

Overview of attention for article published in BMC Medical Informatics and Decision Making, January 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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7 X users

Citations

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35 Dimensions

Readers on

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154 Mendeley
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Title
Trust in telemedicine portals for rehabilitation care: an exploratory focus group study with patients and healthcare professionals
Published in
BMC Medical Informatics and Decision Making, January 2016
DOI 10.1186/s12911-016-0250-2
Pubmed ID
Authors

Lex Van Velsen, Sabine Wildevuur, Ina Flierman, Boris Van Schooten, Monique Tabak, Hermie Hermens

Abstract

For many eServices, end-user trust is a crucial prerequisite for use. Within the context of Telemedicine, the role of trust has hardly ever been studied. In this study, we explored what determines trust in portals that facilitate rehabilitation therapy, both from the perspective of the patient and the healthcare professional. We held two focus groups with patients (total n = 15) and two with healthcare professionals (total n = 13) in which we discussed when trust matters, what makes up trust in a rehabilitation portal, what effect specific design cues have, and how much the participants trust the use of activity sensor data for informing treatment. Trust in a rehabilitation portal is the sum of trust in different factors. These factors and what makes up these factors differ for patients and healthcare professionals. For example, trust in technology is made up, for patients, mostly by a perceived level of control and privacy, while for healthcare professionals, a larger and different set of issues play a role, including technical reliability and a transparent data storage policy. Healthcare professionals distrust activity sensor data for informing patient treatment, as they think that sensors are unable to record the whole range of movements that patients make (e.g., walking and ironing clothes). The set of factors that affect trust in a rehabilitation portal are different from the sets that have been found for other contexts, like eCommerce. Trust in telemedicine technology should be studied as a separate subject to inform the design of reliable interventions.

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The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 <1%
Unknown 153 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 20%
Student > Bachelor 25 16%
Student > Master 24 16%
Researcher 11 7%
Student > Postgraduate 6 4%
Other 18 12%
Unknown 39 25%
Readers by discipline Count As %
Medicine and Dentistry 26 17%
Computer Science 21 14%
Nursing and Health Professions 12 8%
Business, Management and Accounting 12 8%
Social Sciences 9 6%
Other 30 19%
Unknown 44 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 10 February 2016.
All research outputs
#5,588,662
of 22,842,950 outputs
Outputs from BMC Medical Informatics and Decision Making
#481
of 1,990 outputs
Outputs of similar age
#90,753
of 396,850 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#9
of 36 outputs
Altmetric has tracked 22,842,950 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,990 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 75% 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 396,850 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 77% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.