Cargando…

The behaviour change behind a successful pilot of hypoglycaemia reduction with HYPO-CHEAT

BACKGROUND: Children with hypoglycaemia disorders, such as congenital hyperinsulinism (CHI), are at constant risk of hypoglycaemia (low blood sugars) with the attendant risk of brain injury. Current approaches to hypoglycaemia detection and prevention vary from fingerprick glucose testing to the pro...

Descripción completa

Detalles Bibliográficos
Autores principales: Worth, Chris, Nutter, Paul W, Salomon-Estebanez, Maria, Auckburally, Sameera, Dunne, Mark J, Banerjee, Indraneel, Harper, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403985/
https://www.ncbi.nlm.nih.gov/pubmed/37545627
http://dx.doi.org/10.1177/20552076231192011
_version_ 1785085195786911744
author Worth, Chris
Nutter, Paul W
Salomon-Estebanez, Maria
Auckburally, Sameera
Dunne, Mark J
Banerjee, Indraneel
Harper, Simon
author_facet Worth, Chris
Nutter, Paul W
Salomon-Estebanez, Maria
Auckburally, Sameera
Dunne, Mark J
Banerjee, Indraneel
Harper, Simon
author_sort Worth, Chris
collection PubMed
description BACKGROUND: Children with hypoglycaemia disorders, such as congenital hyperinsulinism (CHI), are at constant risk of hypoglycaemia (low blood sugars) with the attendant risk of brain injury. Current approaches to hypoglycaemia detection and prevention vary from fingerprick glucose testing to the provision of continuous glucose monitoring (CGM) to machine learning (ML) driven glucose forecasting. Recent trends for ML have had limited success in preventing free-living hypoglycaemia, due to a focus on increasingly accurate glucose forecasts and a failure to acknowledge the human in the loop and the essential step of changing behaviour. The wealth of evidence from the fields of behaviour change and persuasive technology (PT) allows for the creation of a theory-informed and technologically considered approach. OBJECTIVES: We aimed to create a PT that would overcome the identified barriers to hypoglycaemia prevention for those with CHI to focus on proactive prevention rather than commonly used reactive approaches. METHODS: We used the behaviour change technique taxonomy and persuasive systems design models to create HYPO-CHEAT (HYpoglycaemia-Prevention-thrOugh-Cgm-HEatmap-Assisted-Technology): a novel approach that presents aggregated CGM data in simple visualisations. The resultant ease of data interpretation is intended to facilitate behaviour change and subsequently reduce hypoglycaemia. RESULTS: HYPO-CHEAT was piloted in 10 patients with CHI over 12 weeks and successfully identified weekly patterns of hypoglycaemia. These patterns consistently correlated with identifiable behaviours and were translated into both a change in proximal fingerprick behaviour and ultimately, a significant reduction in aggregated hypoglycaemia from 7.1% to 5.4% with four out of five patients showing clinically meaningful reductions in hypoglycaemia. CONCLUSIONS: We have provided pilot data of a new approach to hypoglycaemia prevention that focuses on proactive prevention and behaviour change. This approach is personalised for individual patients with CHI and is a first step in changing our approach to hypoglycaemia prevention in this group.
format Online
Article
Text
id pubmed-10403985
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher SAGE Publications
record_format MEDLINE/PubMed
spelling pubmed-104039852023-08-06 The behaviour change behind a successful pilot of hypoglycaemia reduction with HYPO-CHEAT Worth, Chris Nutter, Paul W Salomon-Estebanez, Maria Auckburally, Sameera Dunne, Mark J Banerjee, Indraneel Harper, Simon Digit Health Original Research BACKGROUND: Children with hypoglycaemia disorders, such as congenital hyperinsulinism (CHI), are at constant risk of hypoglycaemia (low blood sugars) with the attendant risk of brain injury. Current approaches to hypoglycaemia detection and prevention vary from fingerprick glucose testing to the provision of continuous glucose monitoring (CGM) to machine learning (ML) driven glucose forecasting. Recent trends for ML have had limited success in preventing free-living hypoglycaemia, due to a focus on increasingly accurate glucose forecasts and a failure to acknowledge the human in the loop and the essential step of changing behaviour. The wealth of evidence from the fields of behaviour change and persuasive technology (PT) allows for the creation of a theory-informed and technologically considered approach. OBJECTIVES: We aimed to create a PT that would overcome the identified barriers to hypoglycaemia prevention for those with CHI to focus on proactive prevention rather than commonly used reactive approaches. METHODS: We used the behaviour change technique taxonomy and persuasive systems design models to create HYPO-CHEAT (HYpoglycaemia-Prevention-thrOugh-Cgm-HEatmap-Assisted-Technology): a novel approach that presents aggregated CGM data in simple visualisations. The resultant ease of data interpretation is intended to facilitate behaviour change and subsequently reduce hypoglycaemia. RESULTS: HYPO-CHEAT was piloted in 10 patients with CHI over 12 weeks and successfully identified weekly patterns of hypoglycaemia. These patterns consistently correlated with identifiable behaviours and were translated into both a change in proximal fingerprick behaviour and ultimately, a significant reduction in aggregated hypoglycaemia from 7.1% to 5.4% with four out of five patients showing clinically meaningful reductions in hypoglycaemia. CONCLUSIONS: We have provided pilot data of a new approach to hypoglycaemia prevention that focuses on proactive prevention and behaviour change. This approach is personalised for individual patients with CHI and is a first step in changing our approach to hypoglycaemia prevention in this group. SAGE Publications 2023-08-03 /pmc/articles/PMC10403985/ /pubmed/37545627 http://dx.doi.org/10.1177/20552076231192011 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Worth, Chris
Nutter, Paul W
Salomon-Estebanez, Maria
Auckburally, Sameera
Dunne, Mark J
Banerjee, Indraneel
Harper, Simon
The behaviour change behind a successful pilot of hypoglycaemia reduction with HYPO-CHEAT
title The behaviour change behind a successful pilot of hypoglycaemia reduction with HYPO-CHEAT
title_full The behaviour change behind a successful pilot of hypoglycaemia reduction with HYPO-CHEAT
title_fullStr The behaviour change behind a successful pilot of hypoglycaemia reduction with HYPO-CHEAT
title_full_unstemmed The behaviour change behind a successful pilot of hypoglycaemia reduction with HYPO-CHEAT
title_short The behaviour change behind a successful pilot of hypoglycaemia reduction with HYPO-CHEAT
title_sort behaviour change behind a successful pilot of hypoglycaemia reduction with hypo-cheat
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403985/
https://www.ncbi.nlm.nih.gov/pubmed/37545627
http://dx.doi.org/10.1177/20552076231192011
work_keys_str_mv AT worthchris thebehaviourchangebehindasuccessfulpilotofhypoglycaemiareductionwithhypocheat
AT nutterpaulw thebehaviourchangebehindasuccessfulpilotofhypoglycaemiareductionwithhypocheat
AT salomonestebanezmaria thebehaviourchangebehindasuccessfulpilotofhypoglycaemiareductionwithhypocheat
AT auckburallysameera thebehaviourchangebehindasuccessfulpilotofhypoglycaemiareductionwithhypocheat
AT dunnemarkj thebehaviourchangebehindasuccessfulpilotofhypoglycaemiareductionwithhypocheat
AT banerjeeindraneel thebehaviourchangebehindasuccessfulpilotofhypoglycaemiareductionwithhypocheat
AT harpersimon thebehaviourchangebehindasuccessfulpilotofhypoglycaemiareductionwithhypocheat
AT worthchris behaviourchangebehindasuccessfulpilotofhypoglycaemiareductionwithhypocheat
AT nutterpaulw behaviourchangebehindasuccessfulpilotofhypoglycaemiareductionwithhypocheat
AT salomonestebanezmaria behaviourchangebehindasuccessfulpilotofhypoglycaemiareductionwithhypocheat
AT auckburallysameera behaviourchangebehindasuccessfulpilotofhypoglycaemiareductionwithhypocheat
AT dunnemarkj behaviourchangebehindasuccessfulpilotofhypoglycaemiareductionwithhypocheat
AT banerjeeindraneel behaviourchangebehindasuccessfulpilotofhypoglycaemiareductionwithhypocheat
AT harpersimon behaviourchangebehindasuccessfulpilotofhypoglycaemiareductionwithhypocheat