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Open-source automated insulin delivery: international consensus statement and practical guidance for health-care professionals.
Braune, Katarina; Lal, Rayhan A; Petruzelková, Lenka; Scheiner, Gary; Winterdijk, Per; Schmidt, Signe; Raimond, Linda; Hood, Korey K; Riddell, Michael C; Skinner, Timothy C; Raile, Klemens; Hussain, Sufyan.
Afiliação
  • Braune K; Department of Paediatric Endocrinology and Diabetes, Charité-Universitätsmedizin Berlin, Berlin, Germany; Institute of Medical Informatics, Charité-Universitätsmedizin Berlin, Berlin, Germany; Berlin Institute of Health, Berlin, Germany.
  • Lal RA; Stanford Diabetes Research Center, Stanford University School of Medicine, Stanford University, Stanford, CA, USA. Electronic address: inforay@stanford.edu.
  • Petruzelková L; Department of Pediatrics, University Hospital Motol, Prague, Czech Republic.
  • Scheiner G; Integrated Diabetes Services, Wynnewood, PA, USA.
  • Winterdijk P; Diabeter, Center for Pediatric and Adult Diabetes Care and Research, Rotterdam, Netherlands.
  • Schmidt S; Steno Diabetes Center Copenhagen, Gentofte, Denmark.
  • Raimond L; Steno Diabetes Center Copenhagen, Gentofte, Denmark.
  • Hood KK; Stanford Diabetes Research Center, Stanford University School of Medicine, Stanford University, Stanford, CA, USA.
  • Riddell MC; Muscle Health Research Centre, York University, Toronto, ON, Canada.
  • Skinner TC; Department of Psychology, University of Copenhagen, Copenhagen, Denmark; La Trobe Rural Health School, La Trobe University, Bendigo, VIC, Australia.
  • Raile K; Department of Paediatric Endocrinology and Diabetes, Charité-Universitätsmedizin Berlin, Berlin, Germany.
  • Hussain S; Department of Diabetes and Endocrinology, Guy's and St Thomas' Hospital NHS Trust, London, UK; Department of Diabetes, King's College London, London, UK; Institute of Diabetes, Endocrinology and Obesity, King's Health Partners, London, UK. Electronic address: sufyan.hussain@kcl.ac.uk.
Lancet Diabetes Endocrinol ; 10(1): 58-74, 2022 01.
Article em En | MEDLINE | ID: mdl-34785000
ABSTRACT
Open-source automated insulin delivery systems, commonly referred to as do-it-yourself automated insulin delivery systems, are examples of user-driven innovations that were co-created and supported by an online community who were directly affected by diabetes. Their uptake continues to increase globally, with current estimates suggesting several thousand active users worldwide. Real-world user-driven evidence is growing and provides insights into safety and effectiveness of these systems. The aim of this consensus statement is two-fold. Firstly, it provides a review of the current evidence, description of the technologies, and discusses the ethics and legal considerations for these systems from an international perspective. Secondly, it provides a much-needed international health-care consensus supporting the implementation of open-source systems in clinical settings, with detailed clinical guidance. This consensus also provides important recommendations for key stakeholders that are involved in diabetes technologies, including developers, regulators, and industry, and provides medico-legal and ethical support for patient-driven, open-source innovations.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 1 / Insulina Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 1 / Insulina Idioma: En Ano de publicação: 2022 Tipo de documento: Article