Evidence map›Paper›PMID 29458348›Full record

ArticleBMC endocrine disorders2018

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

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

Abstract read
In one paragraph

Article in BMC endocrine disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

84 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
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  9. Associations between HbADiabetic medicine : a journal of the British Diabetic Association · 2019
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24 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

J LawtonUsher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK. j.lawton@ed.ac.uk.
M BlackburnUsher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.
J AllenWellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
F CampbellLeeds Children's Hospital, Leeds, UK.
D ElleriRoyal Hospital for Sick Children, Edinburgh, UK.
L LeelarathnaManchester Diabetes Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.
D RankinUsher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.
M TauschmannWellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
H ThabitManchester Diabetes Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.
R HovorkaWellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK.

Funding

Department of Health 14/23/09
6 · The paper itself

Abstract

backgroundContinuous 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.

methodsIn-depth interviews (n = 24) with adults, adolescents and parents who had used CGM for ≥4 weeks; data were analysed thematically.

resultsParticipants 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.

conclusionsCGM 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.

Indexed as

Self-ManagementAdolescentAdultAgedBlood Glucose Self-MonitoringCaregiversDiabetes Mellitus, Type 1FemaleFollow-Up StudiesGlycated HemoglobinHumansHyperglycemiaHypoglycemiaMaleMiddle AgedParentsGlycated Hemoglobinhemoglobin A1c protein, humanCaregiver experienceContinuous glucose monitoringPatient experienceQualitativeType 1 diabetes

Identifiers

PMID29458348
PMCPMC5819241

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.