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eHealth in the future of medications management: personalisation, monitoring and adherence

Overview of attention for article published in BMC Medicine, April 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

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57 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

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125 Dimensions

Readers on

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475 Mendeley
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Title
eHealth in the future of medications management: personalisation, monitoring and adherence
Published in
BMC Medicine, April 2017
DOI 10.1186/s12916-017-0838-0
Pubmed ID
Authors

Josip Car, Woan Shin Tan, Zhilian Huang, Peter Sloot, Bryony Dean Franklin

Abstract

Globally, healthcare systems face major challenges with medicines management and medication adherence. Medication adherence determines medication effectiveness and can be the single most effective intervention for improving health outcomes. In anticipation of growth in eHealth interventions worldwide, we explore the role of eHealth in the patients' medicines management journey in primary care, focusing on personalisation and intelligent monitoring for greater adherence. eHealth offers opportunities to transform every step of the patient's medicines management journey. From booking appointments, consultation with a healthcare professional, decision-making, medication dispensing, carer support, information acquisition and monitoring, to learning about medicines and their management in daily life. It has the potential to support personalisation and monitoring and thus lead to better adherence. For some of these dimensions, such as supporting decision-making and providing reminders and prompts, evidence is stronger, but for many others more rigorous research is urgently needed. Given the potential benefits and barriers to eHealth in medicines management, a fine balance needs to be established between evidence-based integration of technologies and constructive experimentation that could lead to a game-changing breakthrough. A concerted, transdisciplinary approach adapted to different contexts, including low- and middle-income contries is required to realise the benefits of eHealth at scale.

X Demographics

X Demographics

The data shown below were collected from the profiles of 57 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 475 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 475 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 79 17%
Student > Bachelor 54 11%
Student > Ph. D. Student 49 10%
Researcher 48 10%
Student > Doctoral Student 24 5%
Other 92 19%
Unknown 129 27%
Readers by discipline Count As %
Medicine and Dentistry 88 19%
Nursing and Health Professions 56 12%
Computer Science 34 7%
Pharmacology, Toxicology and Pharmaceutical Science 31 7%
Social Sciences 21 4%
Other 93 20%
Unknown 152 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 39. 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 19 May 2020.
All research outputs
#1,037,442
of 25,295,968 outputs
Outputs from BMC Medicine
#737
of 3,978 outputs
Outputs of similar age
#20,818
of 315,761 outputs
Outputs of similar age from BMC Medicine
#17
of 62 outputs
Altmetric has tracked 25,295,968 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,978 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.6. This one has done well, scoring higher than 81% 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 315,761 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.