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Franceschi R, Pertile R, Marigliano M, Mozzillo E, Maffeis C, Zaffani S, Dusini C, Antonelli A, Candia FD, Maltoni G, Cantarelli E, Minuto N, Bassi M, Rabbone I, Savastio S, Passanisi S, Lombardo F, Cherubini V, Saltarelli MA, Tumini S. Future acceptance of automated insulin delivery systems in youths with type 1 diabetes: validation of the Italian artificial pancreas-acceptance measure. Acta Diabetol 2024:10.1007/s00592-024-02327-9. [PMID: 39126517 DOI: 10.1007/s00592-024-02327-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2024] [Accepted: 06/26/2024] [Indexed: 08/12/2024]
Abstract
AIM The purpose of this study was to develop a questionnaire to examine the future acceptance of Automatic insulin delivery systems (AIDs), their perceived usefulness, ease of use, and trust in the device in subjects with type 1 diabetes (T1D). METHODS A questionnaire in Italian, based on the Technology Acceptance Model, was developed to examine intention to use AIDs, considered as a measure of future acceptance, and its determinants to use the system. A total of 43 questions for children and 46 for parents were included, and a 5-point Likert scale was used. RESULTS 239 subjects with T1D using multiple daily injections (MDI) or sensor-augmented pump (SAP) and their parents completed the questionnaire. The completion rate was excellent, with almost 100% of items answered. The overall Cronbach's coefficient for children and adolescents was 0.92 and 0.93 for parents, indicating excellent internal consistency in both groups. Parent-youth agreement was 0.699 (95% confidence interval: 0.689-0.709), indicating a good agreement between the two evaluations. Factor analysis identified measurement factors for the "artificial pancreas (AP)-acceptance labeled benefits and hassles of AIDs, and the internal consistency of the total scale was alpha = 0.94 for subjects with T1D and 0.95 for parents. The level of AP acceptance was more than neutral: 3.91 ± 0.47 and 3.99 ± 0.43 (p = 0.07) for youths and parents, respectively (possible score range 1 to 5, neutral score is 3.0). Parents reported higher scores in the benefit items than children-adolescents (p = 0.04). CONCLUSIONS We developed a new questionnaire based on the items available in the literature, and we demonstrated that the "AP-acceptance" reveals a meaningful factor structure, good internal reliability, and agreement between parent-young people evaluations. This measure could be a valuable resource for clinicians and researchers to assess AP acceptance in pediatric patients with T1D and their parents. This patient profiling approach could help to enroll candidates for AIDs with proper expectations and who most likely will benefit from the system.
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Affiliation(s)
- Roberto Franceschi
- Department of Pediatrics, S.Chiara Hospital of Trento, APSS, Trentino-Alto Adige, Trento, Italy
| | - Riccardo Pertile
- Clinical and Evaluative Epidemiology Unit, Health Management, APSS, Trento, Italy
| | - Marco Marigliano
- Department of Surgery, Dentistry, Pediatrics, and Gynecology, Section of Pediatric Diabetes and Metabolism, University of Verona, Piazzale Aristide Stefani 1, Verona, 37126, Italy.
| | - Enza Mozzillo
- Department of Translational Medical Science, Section of Pediatrics, Università degli Studi di Napoli Federico II, Naples, Italy
| | - Claudio Maffeis
- Department of Surgery, Dentistry, Pediatrics, and Gynecology, Section of Pediatric Diabetes and Metabolism, University of Verona, Piazzale Aristide Stefani 1, Verona, 37126, Italy
| | - Silvana Zaffani
- Department of Surgery, Dentistry, Pediatrics, and Gynecology, Section of Pediatric Diabetes and Metabolism, University of Verona, Piazzale Aristide Stefani 1, Verona, 37126, Italy
| | - Carlotta Dusini
- Department of Pediatrics, S.Chiara Hospital of Trento, APSS, Trentino-Alto Adige, Trento, Italy
| | - Annalisa Antonelli
- Department of Maternal and Child Health, UOSD Regional Center of Pediatric Diabetology, "SS Annunziata" Hospital, Chieti, Italy
| | - Francesca Di Candia
- Department of Translational Medical Science, Section of Pediatrics, Università degli Studi di Napoli Federico II, Naples, Italy
| | - Giulio Maltoni
- Pediatric Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Erika Cantarelli
- Pediatric Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Nicola Minuto
- Pediatric Clinic, Department of Neuroscience Rehabilitation Ophthalmology Genetics, Maternal and Child Health, IRCCS Giannina Gaslini, University of Genoa, Genova, Italy
| | - Marta Bassi
- Pediatric Clinic, Department of Neuroscience Rehabilitation Ophthalmology Genetics, Maternal and Child Health, IRCCS Giannina Gaslini, University of Genoa, Genova, Italy
| | - Ivana Rabbone
- Division of Pediatrics, Department of Health Sciences, University of Piemonte Orientale, Novara, Italy
| | - Silvia Savastio
- Division of Pediatrics, Department of Health Sciences, University of Piemonte Orientale, Novara, Italy
| | - Stefano Passanisi
- Department of Human Pathology of Adulthood and Childhood G. Barresi, University of Messina, Messina, Italy
| | - Fortunato Lombardo
- Department of Human Pathology of Adulthood and Childhood G. Barresi, University of Messina, Messina, Italy
| | - Valentino Cherubini
- Department of Women's and Children's Health, Azienda Ospedaliero-Universitaria, Ospedali Riuniti di Ancona, "G. Salesi Hospital", Ancona, Italy
| | - Maria Alessandra Saltarelli
- Department of Maternal and Child Health, UOSD Regional Center of Pediatric Diabetology, "SS Annunziata" Hospital, Chieti, Italy
| | - Stefano Tumini
- Department of Maternal and Child Health, UOSD Regional Center of Pediatric Diabetology, "SS Annunziata" Hospital, Chieti, Italy
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Fagherazzi G, Aguayo GA, Zhang L, Hanaire H, Picard S, Sablone L, Vergès B, Hamamouche N, Detournay B, Joubert M, Delemer B, Guilhem I, Vambergue A, Gourdy P, Hadjadj S, Velayoudom FL, Guerci B, Larger E, Jeandidier N, Gautier JF, Renard E, Potier L, Benhamou PY, Sola A, Bordier L, Bismuth E, Prévost G, Kessler L, Cosson E, Riveline JP. Heterogeneity of glycaemic phenotypes in type 1 diabetes. Diabetologia 2024; 67:1567-1581. [PMID: 38780786 PMCID: PMC11343912 DOI: 10.1007/s00125-024-06179-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 04/08/2024] [Indexed: 05/25/2024]
Abstract
AIMS/HYPOTHESIS Our study aims to uncover glycaemic phenotype heterogeneity in type 1 diabetes. METHODS In the Study of the French-speaking Society of Type 1 Diabetes (SFDT1), we characterised glycaemic heterogeneity thanks to a set of complementary metrics: HbA1c, time in range (TIR), time below range (TBR), CV, Gold score and glycaemia risk index (GRI). Applying the Discriminative Dimensionality Reduction with Trees (DDRTree) algorithm, we created a phenotypic tree, i.e. a 2D visual mapping. We also carried out a clustering analysis for comparison. RESULTS We included 618 participants with type 1 diabetes (52.9% men, mean age 40.6 years [SD 14.1]). Our phenotypic tree identified seven glycaemic phenotypes. The 2D phenotypic tree comprised a main branch in the proximal region and glycaemic phenotypes in the distal areas. Dimension 1, the horizontal dimension, was positively associated with GRI (coefficient [95% CI]) (0.54 [0.52, 0.57]), HbA1c (0.39 [0.35, 0.42]), CV (0.24 [0.19, 0.28]) and TBR (0.11 [0.06, 0.15]), and negatively with TIR (-0.52 [-0.54, -0.49]). The vertical dimension was positively associated with TBR (0.41 [0.38, 0.44]), CV (0.40 [0.37, 0.43]), TIR (0.16 [0.12, 0.20]), Gold score (0.10 [0.06, 0.15]) and GRI (0.06 [0.02, 0.11]), and negatively with HbA1c (-0.21 [-0.25, -0.17]). Notably, socioeconomic factors, cardiovascular risk indicators, retinopathy and treatment strategy were significant determinants of glycaemic phenotype diversity. The phenotypic tree enabled more granularity than traditional clustering in revealing clinically relevant subgroups of people with type 1 diabetes. CONCLUSIONS/INTERPRETATION Our study advances the current understanding of the complex glycaemic profile in people with type 1 diabetes and suggests that strategies based on isolated glycaemic metrics might not capture the complexity of the glycaemic phenotypes in real life. Relying on these phenotypes could improve patient stratification in type 1 diabetes care and personalise disease management.
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Affiliation(s)
- Guy Fagherazzi
- Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg.
| | - Gloria A Aguayo
- Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Lu Zhang
- Bioinformatics Platform, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Hélène Hanaire
- Department of Diabetology, Metabolic Diseases and Nutrition, CHU Toulouse, University of Toulouse, Toulouse, France
- Francophone Foundation for Diabetes Research, Paris, France
| | - Sylvie Picard
- Endocrinology and Diabetes, Point Medical, Dijon, France
| | - Laura Sablone
- Francophone Foundation for Diabetes Research, Paris, France
| | - Bruno Vergès
- Department of Endocrinology-Diabetology, Inserm LNC UMR1231, University of Burgundy, Dijon, France
| | | | | | - Michael Joubert
- Service d'Endocrinologie-Diabétologie (Endocrinology/Diabetes Unit), Centre Hospitalier Universitaire de Caen, Caen, France
| | - Brigitte Delemer
- Endocrinology, Diabetology and Nutrition Department, Robert Debré University Hospital, Reims, France
| | - Isabelle Guilhem
- Department of Endocrinology, Diabetes and Nutrition, University Hospital of Rennes, Rennes, France
| | - Anne Vambergue
- Endocrinology, Diabetology, Metabolism and Nutrition Department, Lille University Hospital, Lille, France
| | - Pierre Gourdy
- Department of Diabetology, Metabolic Diseases and Nutrition, CHU Toulouse, University of Toulouse, Toulouse, France
- Institute of Metabolic and Cardiovascular Diseases, UMR1297 Inserm/UPS, Toulouse University, Toulouse, France
| | - Samy Hadjadj
- Institut du thorax, INSERM, CNRS, Université Nantes, CHU Nantes, Nantes, France
| | - Fritz-Line Velayoudom
- Department of Endocrinology-Diabetology, University Hospital of Guadeloupe, Pointe-À-Pitre, France
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Lille, France
| | - Bruno Guerci
- Department of Endocrinology, Diabetology, and Nutrition, Brabois Adult Hospital, University of Lorraine, Vandoeuvre-Lès-Nancy, France
| | - Etienne Larger
- University Paris Cité, Institut Cochin, U1016, Inserm, Paris, France
- Diabetology Department, Cochin Hospital, AP-HP, Paris, France
| | - Nathalie Jeandidier
- Department of Endocrinology, Diabetes and Nutrition, Hôpitaux Universitaires de Strasbourg, Université de Strasbourg, Strasbourg, France
| | - Jean-François Gautier
- Institut Necker Enfants Malades, Inserm U1151, CNRS UMR 8253, IMMEDIAB Laboratory, Paris, France
- Centre Universitaire de Diabétologie et de ses Complications, AP-HP, Hôpital Lariboisière, Paris, France
| | - Eric Renard
- Institute of Functional Genomics, University of Montpellier, CNRS, Inserm, Montpellier, France
- Department of Endocrinology, Diabetes, Nutrition, Montpellier University Hospital, Montpellier, France
| | - Louis Potier
- Institut Necker Enfants Malades, Inserm U1151, CNRS UMR 8253, IMMEDIAB Laboratory, Paris, France
- Department of Diabetology, Endocrinology and Nutrition, AP-HP, Bichat Hospital, Paris, France
| | | | - Agnès Sola
- Diabetology Department, Cochin Hospital, AP-HP, Paris, France
| | - Lyse Bordier
- Service d'Endocrinologie, Hôpital Bégin, Saint Mandé, France
| | - Elise Bismuth
- Robert-Debré University Hospital, Department of Paediatric Endocrinology and Diabetology, AP-HP, University of Paris, Paris, France
| | - Gaëtan Prévost
- Department of Endocrinology, Diabetes and Metabolic Diseases, Normandie Université, UNIROUEN, Rouen University Hospital, Centre d'Investigation Clinique (CIC-CRB)-Inserm 1404, Rouen University Hospital, Rouen, France
| | - Laurence Kessler
- Department of Endocrinology, Diabetes and Nutrition, Hôpitaux Universitaires de Strasbourg, Université de Strasbourg, Strasbourg, France
| | - Emmanuel Cosson
- Department of Endocrinology-Diabetology-Nutrition, AP-HP, Avicenne Hospital, Paris 13 University, Sorbonne Paris Cité, CRNH-IdF, CINFO, Bobigny, France
- Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Université Sorbonne Paris Nord and Université Paris CitéInserm, INRAE, CNAM, Centre of Research in Epidemiology and StatisticS (CRESS), Bobigny, France
| | - Jean-Pierre Riveline
- Institut Necker Enfants Malades, Inserm U1151, CNRS UMR 8253, IMMEDIAB Laboratory, Paris, France
- Centre Universitaire de Diabétologie et de ses Complications, AP-HP, Hôpital Lariboisière, Paris, France
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Schoelwer MJ, DeBoer MD, Breton MD. Use of diabetes technology in children. Diabetologia 2024:10.1007/s00125-024-06218-0. [PMID: 38995398 DOI: 10.1007/s00125-024-06218-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Accepted: 05/23/2024] [Indexed: 07/13/2024]
Abstract
Children with type 1 diabetes and their caregivers face numerous challenges navigating the unpredictability of this complex disease. Although the burden of managing diabetes remains significant, new technology has eased some of the load and allowed children with type 1 diabetes to achieve tighter glycaemic management without fear of excess hypoglycaemia. Continuous glucose monitor use alone improves outcomes and is considered standard of care for paediatric type 1 diabetes management. Similarly, automated insulin delivery (AID) systems have proven to be safe and effective for children as young as 2 years of age. AID use improves not only blood glucose levels but also quality of life for children with type 1 diabetes and their caregivers and should be strongly considered for all youth with type 1 diabetes if available and affordable. Here, we review key data on the use of diabetes technology in the paediatric population and discuss management issues unique to children and adolescents.
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Affiliation(s)
| | - Mark D DeBoer
- Department of Pediatrics, University of Virginia, Charlottesville, VA, USA
| | - Marc D Breton
- Center for Diabetes Technology, University of Virginia, Charlottesville, VA, USA.
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Hafez SH, Mohammed NA, Yahia Mahdy Shalby A, Eltaher Hamed Abdulrahman E, Farhan AlQarni A, Ayed Alhamami F, Fahd Alshehri H, Khalid Hussein M, Mustafa Abd Alganny M, Saied Harfoush M. The Path From Awareness to Action: Exploring Diabetic Patients' Awareness and Attitudes and Barriers to Utilization of Artificial Pancreas in the Beheira Governorate, Egypt. Cureus 2024; 16:e52703. [PMID: 38384620 PMCID: PMC10879912 DOI: 10.7759/cureus.52703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/22/2024] [Indexed: 02/23/2024] Open
Abstract
Background and objective There is scarce data on diabetic patients' awareness, attitude, and barriers to utilization regarding the artificial pancreas. In light of this, the current study aimed to explore the awareness, attitudes, and perceived barriers to utilization of the artificial pancreas experienced by diabetic patients. Methods A cross-sectional study design was employed to achieve the aim of the study. The study was conducted in Damanhur city, the Beheira Governorate, Egypt. The convenience sampling technique was used to include 385 diabetic patients. The researchers designed an interview questionnaire comprising four parts to collect data about knowledge, attitudes, and barriers to utilization. Results The findings showed that 61% of the participants had a satisfactory level of overall knowledge. Regarding overall attitude, 64.1% of participants exhibited a positive attitude toward the artificial pancreas. The data indicated that 37.7% of participants identified the associated high cost as a significant barrier. Additionally, 23.3% expressed concerns about the lack of healthcare provider support, 21.5% had reservations regarding maintenance, and 17.5% felt limited by their technical skills. Conclusions The study revealed a notable satisfactory level of knowledge and attitudes among about two-thirds of participants regarding the artificial pancreas. Concerns about the high cost emerged as a predominant barrier followed by a lack of healthcare provider support. Empowering both healthcare providers and patients through ongoing educational initiatives can play a pivotal role in fostering a positive attitude and addressing concerns related to artificial pancreas technology.
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Affiliation(s)
- Sameer H Hafez
- Community Health Nursing, Beni-Suef University, Beni-Suef, EGY
- Community and Mental Health Nursing, Najran University, Najran, SAU
| | - Noha A Mohammed
- Community Health Nursing, Beni-Suef University, Beni-Suef, EGY
| | - Abeer Yahia Mahdy Shalby
- Medical and Surgical Nursing, Benha University, Benha, EGY
- Faculty of Nursing, College of Nursing, Najran University, Najran, SAU
| | | | | | | | | | | | | | - Mohamed Saied Harfoush
- Nursing, College of Applied Medical Sciences, Buraydah College, Qassim, SAU
- Community Health Nursing, Faculty of Nursing, Damanhour University, Damanhour, EGY
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5
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Auzanneau M, Eckert AJ, Meyhöfer SM, Heni M, Gillessen A, Schwettmann L, Jehle PM, Hummel M, Holl RW. Area deprivation and demographic factors associated with diabetes technology use in adults with type 1 diabetes in Germany. Front Endocrinol (Lausanne) 2023; 14:1191138. [PMID: 37600703 PMCID: PMC10433185 DOI: 10.3389/fendo.2023.1191138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 06/30/2023] [Indexed: 08/22/2023] Open
Abstract
Introduction Diabetes technology improves glycemic control and quality of life for many people with type 1 diabetes (T1D). However, inequalities in access to diabetes technology exist in many countries. In Germany, disparities in technology use have been described in pediatric T1D, but no data for adults are available so far. We therefore aimed to analyze whether demographic factors and area deprivation are associated with technology use in a representative population of adults with T1D. Materials and methods In adults with T1D from the German prospective diabetes follow-up registry (DPV), we analyzed the use of continuous subcutaneous insulin infusion (CSII), continuous glucose monitoring (CGM), and sensor augmented pump therapy (SAP, with and without automated insulin delivery) in 2019-2021 by age group, gender, migration background, and area deprivation using multiple adjusted regression models. Area deprivation, defined as a relative lack of area-based resources, was measured by quintiles of the German index of Multiple Deprivation (GIMD 2015, from Q1, least deprived, to Q5, most deprived districts). Results Among 13,351 adults with T1D, the use of technology decreased significantly with older age: CSII use fell from 56.1% in the 18-<25-year age group to 3.1% in the ≥80-year age group, CGM use from 75.3% to 28.2%, and SAP use from 45.1% to 1.5% (all p for trend <0.001). The use of technology was also significantly higher in women than in men (CSII: 39.2% vs. 27.6%; CGM: 61.9% vs. 58.0%; SAP: 28.7% vs. 19.6%, all p <0.001), and in individuals without migration background than in those with migration background (CSII: 38.8% vs. 27.6%; CGM: 71.1% vs. 61.4%; SAP: 30.5% vs. 21.3%, all p <0.001). Associations with area deprivation were not linear: the use of each technology decreased only from Q2 to Q4. Discussion Our real-world data provide evidence that higher age, male gender, and migration background are currently associated with lower use of diabetes technology in adults with T1D in Germany. Associations with area deprivation are more complex, probably due to correlations with other factors, like the higher proportion of migrants in less deprived areas or the federal structure of the German health care system.
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Affiliation(s)
- Marie Auzanneau
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Alexander J. Eckert
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Sebastian M. Meyhöfer
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
- Institute for Endocrinology and Diabetes, University of Lübeck, Lübeck, Germany
| | - Martin Heni
- Division of Endocrinology and Diabetology, Department of Internal Medicine 1, University Hospital Ulm, Ulm, Germany
- Department for Diagnostic Laboratory Medicine, Institute for Clinical Chemistry and Pathobiochemistry, University Hospital Tübingen, Tübingen, Germany
| | - Anton Gillessen
- Department of Internal Medicine, Sacred Heart Hospital, Muenster, Germany
| | - Lars Schwettmann
- Division of Health Economics, Department of Health Services Research, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany
| | - Peter M. Jehle
- Department of Internal Medicine I, University Medicine, Academic Hospital Paul-Gerhardt-Stift, Martin-Luther-University Halle-Wittenberg, Lutherstadt Wittenberg, Germany
| | - Michael Hummel
- Research Group Diabetes e.V., Helmholtz Center Munich, Munich-Neuherberg, Germany
| | - Reinhard W. Holl
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
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Elian V, Popovici V, Ozon EA, Musuc AM, Fița AC, Rusu E, Radulian G, Lupuliasa D. Current Technologies for Managing Type 1 Diabetes Mellitus and Their Impact on Quality of Life-A Narrative Review. Life (Basel) 2023; 13:1663. [PMID: 37629520 PMCID: PMC10456000 DOI: 10.3390/life13081663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 07/27/2023] [Accepted: 07/28/2023] [Indexed: 08/27/2023] Open
Abstract
Type 1 diabetes mellitus is a chronic autoimmune disease that affects millions of people and generates high healthcare costs due to frequent complications when inappropriately managed. Our paper aimed to review the latest technologies used in T1DM management for better glycemic control and their impact on daily life for people with diabetes. Continuous glucose monitoring systems provide a better understanding of daily glycemic variations for children and adults and can be easily used. These systems diminish diabetes distress and improve diabetes control by decreasing hypoglycemia. Continuous subcutaneous insulin infusions have proven their benefits in selected patients. There is a tendency to use more complex systems, such as hybrid closed-loop systems that can modulate insulin infusion based on glycemic readings and artificial intelligence-based algorithms. It can help people manage the burdens associated with T1DM management, such as fear of hypoglycemia, exercising, and long-term complications. The future is promising and aims to develop more complex ways of automated control of glycemic levels to diminish the distress of individuals living with diabetes.
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Affiliation(s)
- Viviana Elian
- Department of Diabetes, Nutrition and Metabolic Diseases, “Carol Davila” University of Medicine and Pharmacy, 8 Eroii Sanitari Blvd., 050471 Bucharest, Romania; (V.E.); (E.R.); (G.R.)
- Department of Diabetes, Nutrition and Metabolic Diseases, “Prof. Dr. N. C. Paulescu” National Institute of Diabetes, Nutrition and Metabolic Diseases, 030167 Bucharest, Romania
| | - Violeta Popovici
- Department of Microbiology and Immunology, Faculty of Dental Medicine, Ovidius University of Constanta, 7 Ilarie Voronca Street, 900684 Constanta, Romania
| | - Emma-Adriana Ozon
- Department of Pharmaceutical Technology and Biopharmacy, Faculty of Pharmacy, “Carol Davila” University of Medicine and Pharmacy, 6 Traian Vuia Street, 020945 Bucharest, Romania; (A.C.F.); (D.L.)
| | - Adina Magdalena Musuc
- Romanian Academy, “Ilie Murgulescu” Institute of Physical Chemistry, 202 Spl. Independentei, 060021 Bucharest, Romania;
| | - Ancuța Cătălina Fița
- Department of Pharmaceutical Technology and Biopharmacy, Faculty of Pharmacy, “Carol Davila” University of Medicine and Pharmacy, 6 Traian Vuia Street, 020945 Bucharest, Romania; (A.C.F.); (D.L.)
| | - Emilia Rusu
- Department of Diabetes, Nutrition and Metabolic Diseases, “Carol Davila” University of Medicine and Pharmacy, 8 Eroii Sanitari Blvd., 050471 Bucharest, Romania; (V.E.); (E.R.); (G.R.)
- Department of Diabetes, N. Malaxa Clinical Hospital, 12 Vergului Street, 022441 Bucharest, Romania
| | - Gabriela Radulian
- Department of Diabetes, Nutrition and Metabolic Diseases, “Carol Davila” University of Medicine and Pharmacy, 8 Eroii Sanitari Blvd., 050471 Bucharest, Romania; (V.E.); (E.R.); (G.R.)
- Department of Diabetes, Nutrition and Metabolic Diseases, “Prof. Dr. N. C. Paulescu” National Institute of Diabetes, Nutrition and Metabolic Diseases, 030167 Bucharest, Romania
| | - Dumitru Lupuliasa
- Department of Pharmaceutical Technology and Biopharmacy, Faculty of Pharmacy, “Carol Davila” University of Medicine and Pharmacy, 6 Traian Vuia Street, 020945 Bucharest, Romania; (A.C.F.); (D.L.)
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Chen C, Ding S, Wang J. Digital health for aging populations. Nat Med 2023; 29:1623-1630. [PMID: 37464029 DOI: 10.1038/s41591-023-02391-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 05/09/2023] [Indexed: 07/20/2023]
Abstract
Growing life expectancy poses important societal challenges, placing an increasing burden on ever more strained health systems. Digital technologies offer tremendous potential for shifting from traditional medical routines to remote medicine and transforming our ability to manage health and independence in aging populations. In this Perspective, we summarize the current progress toward, and challenges and future opportunities of, harnessing digital technologies for effective geriatric care. Special attention is given to the role of wearables in assisting older adults to monitor their health and maintain independence at home. Challenges to the widespread future use of digital technologies in this population will be discussed, along with a vision for how such technologies will shape the future of healthy aging.
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Affiliation(s)
- Chuanrui Chen
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Shichao Ding
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Joseph Wang
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA.
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8
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Hankosky ER, Schapiro D, Gunn KB, Lubelczyk EB, Mitroi J, Nelson DR. Gaps Remain for Achieving HbA1c Targets for People with Type 1 or Type 2 Diabetes Using Insulin: Results from NHANES 2009-2020. Diabetes Ther 2023; 14:967-975. [PMID: 37067668 PMCID: PMC10108820 DOI: 10.1007/s13300-023-01399-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 03/21/2023] [Indexed: 04/18/2023] Open
Abstract
INTRODUCTION Glycated hemoglobin A1c (HbA1c) is an important measure to assess glycemic control and predict diabetes complications. However, there is limited information on trends in HbA1c among people with diabetes (PwDs) who use insulin. The aim of this study was to describe trends in HbA1c among PwDs who use insulin by diabetes type and insulin regimen. METHODS A retrospective analysis was conducted using data from the National Health and Nutrition Examination Survey (NHANES, 2009-2020). PwDs were classified into three cohorts: type 1 diabetes mellitus (T1DM), type 2 diabetes mellitus using mealtime insulin (T2DM-MTI), and type 2 diabetes mellitus (T2DM) using basal-only insulin (T2DM basal-only). Trends in HbA1c over time were assessed using regression analysis after adjusting for age, gender, and race/ethnicity. RESULTS Mean HbA1c values aggregated over 2009-2020 were 8.0% (T1DM), 8.6% (T2DM-MTI), and 8.6% (T2DM basal-only). The American Diabetes Association-recommended target of HbA1c of < 7% was achieved by 25.2% of people in the T1DM and T2DM-MTI groups each and by 12.3% of people in the T2DM basal-only group. Over time, an upward trend was observed in the percentage of people achieving HbA1c < 7% in the T2DM basal-only group. The percentage of PwDs achieving individualized HbA1c targets was 27.0%, 12.4%, and 16.1% for the T1DM, T2DM-MTI, and T2DM basal-only groups, respectively. CONCLUSIONS Our study using NHANES data suggests that approximately 25% of PwDs achieve glycemic targets. This study highlights the need for improved therapies to better manage glycemic targets in PwDs.
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Affiliation(s)
- Emily R Hankosky
- Value, Evidence and Outcomes (VEO)-Diabetes, Eli Lilly and Company, Indianapolis, IN, USA.
| | - David Schapiro
- Value, Evidence and Outcomes (VEO)-Diabetes, Eli Lilly and Company, Indianapolis, IN, USA
| | - Karli B Gunn
- Value, Evidence and Outcomes (VEO)-Diabetes, Eli Lilly and Company, Indianapolis, IN, USA
| | - Elizabeth B Lubelczyk
- Value, Evidence and Outcomes (VEO)-Diabetes, Eli Lilly and Company, Indianapolis, IN, USA
| | - Jessica Mitroi
- Value, Evidence and Outcomes (VEO)-Diabetes, Eli Lilly and Company, Indianapolis, IN, USA
| | - David R Nelson
- Value, Evidence and Outcomes (VEO)-Diabetes, Eli Lilly and Company, Indianapolis, IN, USA
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9
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Messer LH, Vigers T, Akturk HK, Forlenza GP, Huss KB, Karami AJ, Malecha E, Oser SM, Polsky S, Pyle L, Shah VN, Wadwa RP, Oser TK. Increasing Use of Diabetes Devices: What Do Health Care Professionals Need? Clin Diabetes 2023; 41:386-398. [PMID: 37456091 PMCID: PMC10338282 DOI: 10.2337/cd22-0092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
Abstract
Despite evidence of improved diabetes outcomes with diabetes technology such as continuous glucose monitoring (CGM) systems, insulin pumps, and hybrid closed-loop (HCL) insulin delivery systems, these devices are underutilized in clinical practice for the management of insulin-requiring diabetes. This low uptake may be the result of health care providers' (HCPs') lack of confidence or time to prescribe and manage devices for people with diabetes. We administered a survey to HCPs in primary care, pediatric endocrinology, and adult endocrinology practices in the United States. Responding HCPs expressed a need for device-related insurance coverage tools and online data platforms with integration to electronic health record systems to improve diabetes technology uptake in these practice settings across the United States.
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Affiliation(s)
- Laurel H. Messer
- University of Colorado School of Medicine, Barbara Davis Center for Diabetes, Aurora, CO
| | - Tim Vigers
- University of Colorado School of Public Health, Department of Biostatistics and Informatics, Aurora, CO
- University of Colorado School of Medicine, Department of Pediatrics, Aurora, CO
| | - Halis K. Akturk
- University of Colorado School of Medicine, Barbara Davis Center for Diabetes, Aurora, CO
| | - Gregory P. Forlenza
- University of Colorado School of Medicine, Barbara Davis Center for Diabetes, Aurora, CO
| | - Kelsey B. Huss
- University of Colorado School of Medicine, Department of Family Medicine, Aurora, CO
| | - Angela J. Karami
- University of Colorado School of Medicine, Barbara Davis Center for Diabetes, Aurora, CO
| | - Emily Malecha
- University of Colorado School of Medicine, Barbara Davis Center for Diabetes, Aurora, CO
| | - Sean M. Oser
- University of Colorado School of Medicine, Department of Family Medicine, Aurora, CO
| | - Sarit Polsky
- University of Colorado School of Medicine, Barbara Davis Center for Diabetes, Aurora, CO
| | - Laura Pyle
- University of Colorado School of Public Health, Department of Biostatistics and Informatics, Aurora, CO
| | - Viral N. Shah
- University of Colorado School of Medicine, Barbara Davis Center for Diabetes, Aurora, CO
| | - R. Paul Wadwa
- University of Colorado School of Medicine, Barbara Davis Center for Diabetes, Aurora, CO
| | - Tamara K. Oser
- University of Colorado School of Medicine, Department of Family Medicine, Aurora, CO
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10
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Knoll C, Schipp J, O'Donnell S, Wäldchen M, Ballhausen H, Cleal B, Gajewska KA, Raile K, Skinner T, Braune K. Quality of life and psychological well-being among children and adolescents with diabetes and their caregivers using open-source automated insulin delivery systems: Findings from a multinational survey. Diabetes Res Clin Pract 2023; 196:110153. [PMID: 36423699 DOI: 10.1016/j.diabres.2022.110153] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 11/01/2022] [Accepted: 11/07/2022] [Indexed: 11/23/2022]
Abstract
BACKGROUND Open-source automated insulin delivery (AID) systems have shown to be safe and effective in children and adolescents with type 1 diabetes (T1D) in real-world studies. However, there is a lack of evidence on the effect on their caregivers' quality-of-life (QoL) and well-being. The aim of this study was to assess the QoL of caregivers and children and adolescents using open-source AID systems using validated measures. METHODS In this cross-sectional online survey we examined the caregiver-reported QoL and well-being of users and non-users. Validated questionnaires assessed general well-being (WHO-5), diabetes-specific QoL (PAID, PedsQL) and sleep quality (PSQI). RESULTS 168 caregivers from 27 countries completed at least one questionnaire, including 119 caregivers of children using open-source AID and 49 not using them. After inclusion of covariates, all measures but the PAID and one subscale of the PedsQL showed significant between-group differences with AID users reporting higher general (WHO-5: p = 0.003), sleep-related (PSQI: p = 0.001) and diabetes-related QoL (PedsQL: p < 0.05). CONCLUSIONS The results show the potential impact of open-source AID on QoL and psychological well-being of caregivers and children and adolescents with T1D, and can therefore help to inform academia, regulators, and policymakers about the psychosocial health implications of open-source AID.
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Affiliation(s)
- Christine Knoll
- Charité - Universitätsmedizin Berlin, Department of Paediatric Endocrinology and Diabetes, Berlin, Germany; Berlin Institute of Health (BIH), Berlin, Germany.
| | - Jasmine Schipp
- Australian Centre for Behavioural Research in Diabetes, Melbourne, Australia; University of Copenhagen, Centre for Medical Science and Technology Studies, Department of Public Health Copenhagen, Denmark; La Trobe University, Bendigo, Australia.
| | - Shane O'Donnell
- University College Dublin, School of Sociology, Belfield, Ireland.
| | - Mandy Wäldchen
- University College Dublin, School of Sociology, Belfield, Ireland.
| | - Hanne Ballhausen
- Charité - Universitätsmedizin Berlin, Department of Paediatric Endocrinology and Diabetes, Berlin, Germany; Berlin Institute of Health (BIH), Berlin, Germany; #dedoc° Diabetes Online Community, Dedoc Labs GmbH, Berlin, Germany.
| | - Bryan Cleal
- Steno Diabetes Center Copenhagen, Diabetes Management Research, Herlev, Denmark.
| | - Katarzyna A Gajewska
- Diabetes Ireland, Dublin, Ireland; School of Public Health, University College Cork, Ireland.
| | - Klemens Raile
- Vivantes Klinikum Neukölln, Clinic for Pediatrics and Adolescent Medicine, Berlin, Germany.
| | - Timothy Skinner
- Australian Centre for Behavioural Research in Diabetes, Melbourne, Australia; La Trobe University, Bendigo, Australia.
| | - Katarina Braune
- Charité - Universitätsmedizin Berlin, Department of Paediatric Endocrinology and Diabetes, Berlin, Germany; Berlin Institute of Health (BIH), Berlin, Germany; #dedoc° Diabetes Online Community, Dedoc Labs GmbH, Berlin, Germany; Charité - Universitätsmedizin Berlin, Institute of Medical Informatics, Berlin, Germany.
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11
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Nefs G. The Psychological Implications of Automated Insulin Delivery Systems in Type 1 Diabetes Care. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2022; 3:846162. [PMID: 36992780 PMCID: PMC10012062 DOI: 10.3389/fcdhc.2022.846162] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 03/25/2022] [Indexed: 01/15/2023]
Abstract
Automated insulin delivery (AID) systems have brought important glycemic benefits to type 1 diabetes management. The present paper provides an overview of their psychological implications. Trials and real-world observational studies report improvements in diabetes-specific quality of life, with qualitative work describing reduced management burden, increased flexibility and improved relationships. Not all experiences are positive, however, evidenced by dropping algorithm use soon after device initiation. Apart from finance and logistics, reasons for discontinuation include technology frustrations, wear-related issues and unmet glycemic and work load expectations. New challenges include distrust in proper AID functioning, overreliance and deskilling, compensatory behaviors to override or trick the system and optimize time in range, and concerns related to wearing multiple devices on the body. Research efforts may focus on incorporating a diversity perspective, updating existing person-reported outcome measures according to new technology developments, addressing implicit or explicit health professional bias in technology access, examining the merits of incorporating stress reactivity in the AID algorithm, and developing concrete approaches for psychological counseling and support related to technology use. An open dialogue with health professionals and peers about expectations, preferences and needs may foster the collaboration between the person with diabetes and the AID system.
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Affiliation(s)
- Giesje Nefs
- Department of Medical Psychology, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, Netherlands
- Diabeter, National Treatment and Research Center for Children, Adolescents and Adults With Type 1 Diabetes, Rotterdam, Netherlands
- Department of Medical and Clinical Psychology, Center of Research On Psychological Disorders and Somatic Diseases (CoRPS), Tilburg University, Tilburg, Netherlands
- *Correspondence: Giesje Nefs,
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12
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Nguyen KT, Xu NY, Buckingham BA, Chattaraj S, Cohen O, Heinemann L, Pickup J, Svensson J, Vigersky RA, Wong JC, Ziegler R. Improving the Patient Experience With Longer Wear Infusion Sets Symposium Report. J Diabetes Sci Technol 2022; 16:775-782. [PMID: 35227075 PMCID: PMC9294583 DOI: 10.1177/19322968221078884] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Continuous subcutaneous insulin infusion (CSII) therapy is becoming increasingly popular. CSII provides convenient insulin delivery, precise dosing, easy adjustments for physical activity, stress, or illness, and integration with continuous glucose monitors in hybrid or other closed-loop systems. However, even as insulin pump hardware and software have advanced, technology for insulin infusion sets (IISs) has stayed relatively stagnant over time and is often referred to as the "Achilles heel" of CSII. To discuss barriers to insulin pump therapy and present information about advancements in, and results from clinical trials of extended wear IISs, Diabetes Technology Society virtually hosted the "Improving the Patient Experience with Longer Wear Infusion Sets Symposium" on December 1, 2021. The symposium featured experts in the field of IISs, including representatives from Steno Diabetes Center Copenhagen, University of California San Francisco, Stanford University, Medtronic Diabetes, and Science Consulting in Diabetes. The webinar's seven speakers covered (1) advancements in insulin pump therapy, (2) efficacy of longer wear infusion sets, and (3) innovations to reduce plastics and insulin waste.
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Affiliation(s)
- Kevin T. Nguyen
- Diabetes Technology Society, Burlingame, CA,
USA
- Kevin T. Nguyen, BA, Diabetes Technology Society,
845 Malcolm Road Suite 5, Burlingame, CA 94010, USA.
| | - Nicole Y. Xu
- Diabetes Technology Society, Burlingame, CA,
USA
| | | | | | - Ohad Cohen
- Medtronic Diabetes EMEA, Tolochenaz,
Switzerland
| | | | - John Pickup
- Faculty of Life Sciences & Medicine,
King’s College London, London, UK
| | | | | | - Jenise C. Wong
- University of California, San Francisco, San
Francisco, CA, USA
| | - Ralph Ziegler
- Diabetes Clinic for Children and Adolescents,
Muenster, Germany
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