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Parents’ experiences of using a hybrid closed-loop system (CamAPS FX) to care for a very young child with type 1 diabetes: Qualitative study

Barbara Kimbell, David Rankin, Ruth I. Hart, Janet M. Allen, Charlotte K. Boughton, Fiona Campbell, Elke Fröhlich‐Reiterer, Sabine E. Hofer, Thomas Kapellen, Birgit Rami‐Merhar, Ulrike Schierloh, Ajay Thankamony, Julia Ware, Roman Hovorka, Julia Lawton

2022Diabetes Research and Clinical Practice34 citationsDOIOpen Access PDF

Abstract

AIMS: To explore parents' experiences of using a hybrid closed-loop system (CamAPS FX) when caring for a very young child (aged 1-7 years) with type 1 diabetes. METHODS: Interviews with n = 33 parents of 30 children who used the system during a randomised controlled trial. Data analysis used a descriptive thematic approach. RESULTS: While some parents were initially reticent about handing control to the system, all reported clinical benefits to using the technology, having to do less diabetes-related work and needing less clinical input over time. Parents welcomed opportunities to enhance the system's efficacy (using Ease-off and Boost functions) as required. Parents described how the system's automated glucose control facilitated more normality, including sleeping better, worrying less about their child, and feeling more confident and able to outsource care. Parents also described more normality for the child (alongside better sleep, mood and concentration, and lessened distress) and siblings. Parents liked being able to administer insulin using a smartphone, but suggested refinements to device size and functionality. CONCLUSIONS: Using a hybrid closed-loop system in very young children can facilitate greater normality and may result in a lessened demand for health professionals' input. Systems may need to be customised for very young children.

Topics & Concepts

NormalityMedicineThematic analysisFeelingDistressMoodType 1 diabetesControl (management)Diabetes mellitusQualitative researchDevelopmental psychologyClinical psychologyPsychiatryPsychologySocial psychologyComputer scienceSocial scienceEndocrinologyArtificial intelligenceSociologyDiabetes Management and ResearchMobile Health and mHealth ApplicationsDiabetes Management and Education