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A qualitative analysis of the effectiveness of telehealthcare devices (ii) barriers to uptake of telehealthcare devices

Overview of attention for article published in BMC Health Services Research, July 2017
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  • Average Attention Score compared to outputs of the same age and source

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Title
A qualitative analysis of the effectiveness of telehealthcare devices (ii) barriers to uptake of telehealthcare devices
Published in
BMC Health Services Research, July 2017
DOI 10.1186/s12913-017-2270-8
Pubmed ID
Authors

Natasha C. Campling, David G. Pitts, Paul V. Knight, Richard Aspinall

Abstract

Monitoring health and care needs through the use of telehealthcare devices has been proposed to help alleviate funding concerns in a climate of limited budgets. As well as improving cost effectiveness, such an approach could be used to help individuals live at home for longer. In practice however, these devices often go unused. A qualitative study was carried out to determine the barriers to uptake of these devices from both the perspective of the end user and from key players in the healthcare supply chain. A qualitative approach was used involving focus groups and interviews. Two UK-based focus groups were held with users and potential users, to assess their views on the wide array of devices available. 27 individuals were involved in the groups, all over the age of 60. Additionally 27 telephone interviews were conducted with key supply chain players to ascertain their views on the barriers to uptake of these devices. A semi-structured interview guide was used. All data were audio-recorded, transcribed verbatim and analysed using a thematic approach. Users were generally unaware of the wide array of devices available and when shown a selection, were often unclear as to their purpose. The interviews revealed extensive barriers to uptake due to lack of awareness, unfamiliar terminology, complex supply routes and costs, resistance from professionals to device usage and lack of expertise. Public and professional awareness campaigns are required with appropriate funding mechanisms for users to gain access to devices. The numerous barriers identified require systematically addressing, so that device usage is better promoted, enabling individuals to live at home successfully for longer.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 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 > Master 14 18%
Student > Bachelor 11 14%
Researcher 7 9%
Student > Doctoral Student 7 9%
Student > Ph. D. Student 5 6%
Other 9 11%
Unknown 26 33%
Readers by discipline Count As %
Nursing and Health Professions 11 14%
Medicine and Dentistry 9 11%
Engineering 7 9%
Social Sciences 6 8%
Business, Management and Accounting 4 5%
Other 13 16%
Unknown 29 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 13 July 2017.
All research outputs
#6,397,815
of 22,986,950 outputs
Outputs from BMC Health Services Research
#3,055
of 7,697 outputs
Outputs of similar age
#101,912
of 313,513 outputs
Outputs of similar age from BMC Health Services Research
#73
of 144 outputs
Altmetric has tracked 22,986,950 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 7,697 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has gotten more attention than average, scoring higher than 59% 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 313,513 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 144 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.