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Patients’ and caregivers’ experiences of using continuous glucose monitoring to support diabetes self-management: qualitative study

Overview of attention for article published in BMC Endocrine Disorders, February 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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1 policy source
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7 X users

Citations

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107 Dimensions

Readers on

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289 Mendeley
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1 CiteULike
Title
Patients’ and caregivers’ experiences of using continuous glucose monitoring to support diabetes self-management: qualitative study
Published in
BMC Endocrine Disorders, February 2018
DOI 10.1186/s12902-018-0239-1
Pubmed ID
Authors

J. Lawton, M. Blackburn, J. Allen, F. Campbell, D. Elleri, L. Leelarathna, D. Rankin, M. Tauschmann, H. Thabit, R. Hovorka

Abstract

Continuous glucose monitoring (CGM) enables users to view real-time interstitial glucose readings and provides information on the direction and rate of change of blood glucose levels. Users can also access historical data to inform treatment decisions. While the clinical and psychological benefits of CGM are well established, little is known about how individuals use CGM to inform diabetes self-management. We explored participants' experiences of using CGM in order to provide recommendations for supporting individuals to make optimal use of this technology. In-depth interviews (n = 24) with adults, adolescents and parents who had used CGM for ≥4 weeks; data were analysed thematically. Participants found CGM an empowering tool because they could access blood glucose data effortlessly, and trend arrows enabled them to see whether blood glucose was rising or dropping and at what speed. This predicative information aided short-term lifestyle planning and enabled individuals to take action to prevent hypoglycaemia and hyperglycaemia. Having easy access to blood glucose data on a continuous basis also allowed participants to develop a better understanding of how insulin, activity and food impacted on blood glucose. This understanding was described as motivating individuals to make dietary changes and break cycles of over-treating hypoglycaemia and hyperglycaemia. Participants also described how historical CGM data provided a more nuanced picture of blood glucose control than was possible with blood glucose self-monitoring and, hence, better information to inform changes to background insulin doses and mealtime ratios. However, while participants expressed confidence making immediate adjustments to insulin and lifestyle to address impending hypoglycaemia and hypoglycaemia, most described needing and expecting health professionals to interpret historical CGM data and determine changes to background insulin doses and mealtime ratios. While alarms could reinforce a sense of hypoglycaemic safety, some individuals expressed ambivalent views, especially those who perceived alarms as signalling personal failure to achieve optimal glycaemic control. CGM can be an empowering and motivational tool which enables participants to fine-tune and optimize their blood glucose control. However, individuals may benefit from psycho-social education, training and/or technological support to make optimal use of CGM data and use alarms appropriately.

X Demographics

X Demographics

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 289 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 289 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 34 12%
Student > Ph. D. Student 25 9%
Student > Bachelor 25 9%
Researcher 24 8%
Other 18 6%
Other 42 15%
Unknown 121 42%
Readers by discipline Count As %
Nursing and Health Professions 44 15%
Medicine and Dentistry 40 14%
Psychology 16 6%
Social Sciences 9 3%
Computer Science 8 3%
Other 41 14%
Unknown 131 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 20 September 2018.
All research outputs
#4,331,241
of 23,576,969 outputs
Outputs from BMC Endocrine Disorders
#132
of 799 outputs
Outputs of similar age
#84,103
of 331,962 outputs
Outputs of similar age from BMC Endocrine Disorders
#3
of 9 outputs
Altmetric has tracked 23,576,969 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 799 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done well, scoring higher than 83% 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 331,962 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 74% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.