Nadine Taleb1, Ariane Quintal2, Rohan Rakheja3, Virginie Messier3, Laurent Legault4, Eric Racine5, Rémi Rabasa-Lhoret6. 1. Montreal Clinical Research Institute, 110, avenue des Pins Ouest, Montreal, QC, H2W 1R7, Canada; Department of Biomedical Sciences, Faculty of Medicine, Université de Montréal, 2900, Édouard-Montpetit, Montreal, QC, H3T 1J4, Canada. 2. Montreal Clinical Research Institute, 110, avenue des Pins Ouest, Montreal, QC, H2W 1R7, Canada; Department of Social and Preventive Medicine, School of Public Health, Université de Montréal, 7101 Av du Parc, Montréal, QC, H3N 1X9, Canada. 3. Montreal Clinical Research Institute, 110, avenue des Pins Ouest, Montreal, QC, H2W 1R7, Canada. 4. Division of Endocrinology, McGill University, 1001 Decarie Blvd., Montreal, Quebec, H4A 1J4, Canada. 5. Montreal Clinical Research Institute, 110, avenue des Pins Ouest, Montreal, QC, H2W 1R7, Canada; Department of Social and Preventive Medicine, School of Public Health, Université de Montréal, 7101 Av du Parc, Montréal, QC, H3N 1X9, Canada; Department of Neurology and Neurosurgery, McGill University, 3801 University Street, Montreal, QC, H3A 2B4, Canada; Experimental Medicine, McGill University, 1001 Décarie Blvd., Montreal, QC, H4A 1J4, Canada; Biomedical Ethics Unit, McGill University, 3647 Peel, Montréal, QC, H3A 1X1, Canada; Départment de Medicine, Université de Montréal, 2900 Edouard Montpetit Blvd., Montreal, QC, H3T 1J4, Canada. 6. Montreal Clinical Research Institute, 110, avenue des Pins Ouest, Montreal, QC, H2W 1R7, Canada; Experimental Medicine, McGill University, 1001 Décarie Blvd., Montreal, QC, H4A 1J4, Canada; Départment de Medicine, Université de Montréal, 2900 Edouard Montpetit Blvd., Montreal, QC, H3T 1J4, Canada; Department of Nutrition, Faculty of Medicine, Université de Montréal, 2405 chemin de la Côte-Sainte-Catherine, Montréal, QC, H3T 1A8, Canada; Montreal Diabetes Research Center & Endocrinology Division, 900 Saint-Denis, Montréal, QC, H2X 0A9, Canada. Electronic address: remi.rabasa-lhoret@ircm.qc.ca.
Abstract
BACKGROUND AND AIMS: The first hybrid artificial pancreas (AP) systems with insulin only (mono-hormonal) have recently reached the market while next generations systems are under development including those with glucagon addition (bi-hormonal). Understanding the expectations and impressions of future potential users about AP systems is important for optimal use of this clinically effective emerging technology. METHODS AND RESULTS: An online survey about AP systems which consisted of 50 questions was addressed to people with type 1 diabetes in the province of Quebec, Canada. Surveys were completed by 123 respondents with type 1 diabetes (54% women, mean (SD) age 40.2 (14.4) y.o., diabetes duration 23.7 (14.1) years, 58% insulin pump users and 43% glucose sensor users). Of the respondents, 91% understood how AP systems work, 79% trusted them with correct insulin dosing, 73% were willing to replace their current treatment with AP and 80% expected improvement in quality of life. Anxiety about letting an algorithm control their glucose levels was expressed by 18% while the option of ignoring or modifying AP instructions was favoured by 88%. As for bi-hormonal AP systems, 83% of respondents thought they would be useful to further reduce hypoglycemic risks. CONCLUSIONS: Overall, respondents expressed positive views about AP systems use and high expectations for a better quality of life, glycemic control and hypoglycemia reduction. Data from this survey could be useful to health care professionals and developers of AP systems.
BACKGROUND AND AIMS: The first hybrid artificial pancreas (AP) systems with insulin only (mono-hormonal) have recently reached the market while next generations systems are under development including those with glucagon addition (bi-hormonal). Understanding the expectations and impressions of future potential users about AP systems is important for optimal use of this clinically effective emerging technology. METHODS AND RESULTS: An online survey about AP systems which consisted of 50 questions was addressed to people with type 1 diabetes in the province of Quebec, Canada. Surveys were completed by 123 respondents with type 1 diabetes (54% women, mean (SD) age 40.2 (14.4) y.o., diabetes duration 23.7 (14.1) years, 58% insulin pump users and 43% glucose sensor users). Of the respondents, 91% understood how AP systems work, 79% trusted them with correct insulin dosing, 73% were willing to replace their current treatment with AP and 80% expected improvement in quality of life. Anxiety about letting an algorithm control their glucose levels was expressed by 18% while the option of ignoring or modifying AP instructions was favoured by 88%. As for bi-hormonal AP systems, 83% of respondents thought they would be useful to further reduce hypoglycemic risks. CONCLUSIONS: Overall, respondents expressed positive views about AP systems use and high expectations for a better quality of life, glycemic control and hypoglycemia reduction. Data from this survey could be useful to health care professionals and developers of AP systems.
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