Continuous glucose monitoring in older people with diabetes and memory problems: a mixed-methods feasibility study in the UK.


Journal

BMJ open
ISSN: 2044-6055
Titre abrégé: BMJ Open
Pays: England
ID NLM: 101552874

Informations de publication

Date de publication:
18 11 2019
Historique:
entrez: 20 11 2019
pubmed: 20 11 2019
medline: 20 11 2020
Statut: epublish

Résumé

Older people with diabetes are at increased risk of harm from hypoglycaemia, particularly where there are coexisting memory problems. Continuous glucose monitoring (CGM) offers important benefits in terms of detecting hypoglycaemia, but the feasibility of use and extent of data capture has not been tested in this patient group. Our objective was to investigate the feasibility of trialling a CGM intervention in the community setting in older people with diabetes and memory problems. Mixed-methods feasibility study. Community dwellings in the UK. Patients aged ≥65 with diabetes and abbreviated mental test score ≤8 or known dementia. FreeStyle Libre CGM. Feasibility criteria were numbers of eligible patients, recruitment, attrition, extent of capture of glucose readings and adverse events. Qualitative interview. We identified 49 eligible participants; 17 consented, but 5 withdrew before recording of data because they or their carers felt unable to manage study procedures. 12 participants (mean age 85 years) completed the study without adverse events. Data capture across 14 days ranged between 3% and 92% (mean 55%); 6 participants had <60% capture. Hypoglycaemic events were recorded in six out of nine insulin users. Qualitative interviews found: the device does not interfere with daily activities, usability and comfort was positive, and it was helpful for carers in monitoring participants' glucose concentrations. The device was acceptable to participants, and carers reported greater ease in monitoring the participant's glucose concentrations. However, completeness of data capture varied considerably with this device due to the need for users to conduct ≥3 scans per day. Real-time devices with automated data transfer may be more suitable in older people with memory problems.

Identifiants

pubmed: 31740472
pii: bmjopen-2019-032037
doi: 10.1136/bmjopen-2019-032037
pmc: PMC6937046
doi:

Banques de données

ISRCTN
['ISRCTN29516623']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e032037

Informations de copyright

© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/coi_disclosure.pdf and declare no support from any organisation for the submitted work beyond the Alzheimer’s Society grant. YKL reports personal fees from Thame Pharmaceuticals.

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Auteurs

Katharina Mattishent (K)

Norwich Medical School, University of East Anglia, Norwich, UK k.mattishent@uea.ac.uk.

Kathleen Lane (K)

Norwich Medical School, University of East Anglia, Norwich, UK.

Charlotte Salter (C)

Norwich Medical School, University of East Anglia, Norwich, UK.

Ketan Dhatariya (K)

Elsie Bertram Diabetes Centre, Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, Norfolk, UK.

Helen M May (HM)

Older People's Medicine, Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, Norfolk, UK.

Sankalpa Neupane (S)

Elsie Bertram Diabetes Centre, Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, Norfolk, UK.

Yoon K Loke (YK)

Norwich Medical School, University of East Anglia, Norwich, UK.

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Classifications MeSH