User Engagement With the CamAPS FX Hybrid Closed-Loop App According to Age and User Characteristics
Year: 2021
Type: article
Abstract: CamAPS FX (CamDiab, Cambridge, U.K.) is a hybrid closed-loop app hosting the Cambridge closed-loop algorithm on an Android smartphone, and it is approved in the European Union for use in children ≥1 year and adults (including during pregnancy) with type 1 diabetes (T1D). The interoperable CamAPS FX app receives glucose data from a compatible continuous glucose monitoring system (Dexcom G6; Dexcom, San Diego, CA), connects to a compatible insulin pump (Dana Diabecare RS and DANA-i; Sooil, Seoul, South Korea) to direct glucose-responsive insulin delivery every 8–12 min, includes a bolus calculator allowing discrete bolusing via the app, and streams data in real time to cloud-based diabetes data repositories (Diasend/Glooko, Gothenburg, Sweden).
It is currently unknown how much time different user cohorts spend interacting with hybrid closed-loop systems. We aimed to investigate usage patterns of the CamAPS FX app across different populations by considering the amount of time a person spends using the app over a 24-h period.
We noted time spent within the CamAPS FX app over an 11-week period from February to May 2020 in 134 individuals from six ongoing clinical studies. Each study involved a different demo graphic cohort: very young children (1–7 years) in which caregivers use the app (NCT03784027, ClinicalTrials.gov), children and adolescents (6–19 years) (NCT02925299), adolescents (10–17 years) using the closed-loop system from diagnosis of T1D (NCT02871089), adults (≥18 years) (NCT04055480), pregnant women (≥18 years) (ISRCTN56898625, www.isrctn.org), and older adults (≥60 years) (NCT04025762). All studies received regulatory and ethical approval; participants/guardians signed informed consent.
User engagement is the duration of time that users have the application active and in the foreground, as calculated by an analytics cloud platform (Firebase; …
Source: Diabetes Care
DOI: 10.2337/dc20-2762
Authors: Natalie S. Chen, Charlotte K. Boughton, Sara Hartnell, Julia Fuchs, Janet M. Allen, Malgorzata E. Willinska, Ajay Thankamony, Carine de Beaufort, Fiona M. Campbell, Elke Fröhlich-Reiterer, Sabine E. Hofer, Thomas M. Kapellen, Birgit Rami-Merhar, Atrayee Ghatak, Tabitha L. Randell, Rachel E. J. Besser, Daniela Elleri, Nicola Trevelyan, Louise Denvir, Nikki Davis, Eleanor Gurnell, Robert Lindsay, Damian Morris, Eleanor M. Scott, Lia Bally, Hood Thabit, Lalantha Leelarathna, Mark L. Evans, Helen R. Murphy, Julia K. Mader, Roman Hovorka
Institutions: University of Cambridge, Wellcome/MRC Institute of Metabolic Science, Wellcome Trust, Cambridge University Hospitals NHS Foundation Trust, Centre Hospitalier de Luxembourg, Leeds Teaching Hospitals NHS Trust, Medical University of Graz, Innsbruck Medical University, Universität Innsbruck, University Hospital Leipzig, Leipzig University, Medical University of Vienna, Alder Hey Children's NHS Foundation Trust, John Radcliffe Hospital, University of Oxford, NIHR Oxford Biomedical Research Centre, Royal Hospital for Sick Children, Southampton Children's Hospital, Glasgow Royal Infirmary, Ipswich Hospital, University of Leeds, University Hospital of Bern, Manchester University NHS Foundation Trust, University of East Anglia
Language: English
Subfield: Endocrinology, Diabetes and Metabolism
Field: Medicine
Domain: Health Sciences
Open Access status: green
Awards: Institute of Metabolic Science., 24/7 closed-loop in older subjects with type 1 diabetes, One year day-and-night home closed loop in young people with type 1 diabetes, Evaluation of the biomedical and psychosocial impact of automated Complete-Loop (Artificial Pancreas) insulin delivery in women with type 1 diabetes during pregnancy, Effect of closed loop insulin delivery from onset of diabetes in youth on progression of type 1 diabetes, G8758826526
OpenAlex ID: W3161349928