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Eldib A, Dhaver S, Kibaa K, Atakov-Castillo A, Salah T, Al-Badri M, Khater A, McCarragher R, Elenani O, Toschi E, Hamdy O. Evaluation of hybrid closed-loop insulin delivery system in type 1 diabetes in real-world clinical practice: One-year observational study. World J Diabetes 2024; 15:455-462. [PMID: 38591074 PMCID: PMC10999042 DOI: 10.4239/wjd.v15.i3.455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 12/08/2023] [Accepted: 01/15/2024] [Indexed: 03/15/2024] Open
Abstract
BACKGROUND In 2016, the Food and Drug Administration approved the first hybrid closed-loop (HCL) insulin delivery system for adults with type 1 diabetes (T1D). There is limited information on the impact of using HCL systems on patient-reported outcomes (PROs) in patients with T1D in real-world clinical practice. In this independent study, we evaluated glycemic parameters and PROs over one year of continuous use of Medtronic's 670G HCL in real-world clinical practice. AIM To assess the effects of hybrid closed loop system on glycemic control and quality of life in adults with T1D. METHODS We evaluated 71 patients with T1D (mean age: 45.5 ± 12.1 years; 59% females; body weight: 83.8 ± 18.7 kg, body mass index: 28.7 ± 5.6 kg/m2, A1C: 7.6% ± 0.8%) who were treated with HCL at Joslin Clinic from 2017 to 2019. We measured A1C and percent of glucose time-in-range (%TIR) at baseline and 12 months. We measured percent time in auto mode (%TiAM) for the last two weeks preceding the final visit and assessed PROs through several validated quality-of-life surveys related to general health and diabetes management. RESULTS At 12 mo, A1C decreased by 0.3% ± 0.1% (P = 0.001) and %TIR increased by 8.1% ± 2.5% (P = 0.002). The average %TiAM was only 64.3% ± 32.8% and was not associated with A1C, %TIR or PROs. PROs, provided at baseline and at the end of the study, showed that the physical functioning submodule of 36Item Short-Form Health Survey increased significantly by 22.9% (P < 0.001). Hypoglycemia fear survey/worry scale decreased significantly by 24.9% (P < 0.000); Problem Areas In Diabetes reduced significantly by -17.2% (P = 0.002). The emotional burden submodules of dietary diversity score reduced significantly by -44.7% (P = 0.001). Furthermore, analysis of Clarke questionnaire showed no increase in awareness of hypoglycemic episodes. WHO-5 showed no improvements in subject's wellbeing among participants after starting the 670G HCL system. Finally, analysis of Pittsburgh Sleep Quality Index showed no difference in sleep quality, sleep latency, or duration of sleep from baseline to 12 mo. CONCLUSION The use of HCL in real-world clinical practice for one year was associated with significant improvements in A1C, %TIR, physical functioning, hypoglycemia fear, emotional distress, and emotional burden related to diabetes management. However, these changes were not associated with time in auto mode.
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Affiliation(s)
- Ahmed Eldib
- Department of Clinical, Behavioral & Outcomes Research, Joslin Diabetes Center, Boston, MA 02215, United States
- Department of Medicine, Harvard Medical School, Boston, MA 02115, United States
| | - Shilton Dhaver
- Department of Clinical, Behavioral & Outcomes Research, Joslin Diabetes Center, Boston, MA 02215, United States
| | - Karim Kibaa
- Department of Clinical, Behavioral & Outcomes Research, Joslin Diabetes Center, Boston, MA 02215, United States
- Department of Medicine, Harvard Medical School, Boston, MA 02115, United States
| | - Astrid Atakov-Castillo
- Department of Clinical, Behavioral & Outcomes Research, Joslin Diabetes Center, Boston, MA 02215, United States
| | - Tareq Salah
- Department of Clinical, Behavioral & Outcomes Research, Joslin Diabetes Center, Boston, MA 02215, United States
- Department of Medicine, Harvard Medical School, Boston, MA 02115, United States
| | - Marwa Al-Badri
- Department of Clinical, Behavioral & Outcomes Research, Joslin Diabetes Center, Boston, MA 02215, United States
- Department of Medicine, Harvard Medical School, Boston, MA 02115, United States
| | - Abdelrahman Khater
- Department of Clinical, Behavioral & Outcomes Research, Joslin Diabetes Center, Boston, MA 02215, United States
- Department of Medicine, Harvard Medical School, Boston, MA 02115, United States
| | - Ryan McCarragher
- Department of Clinical, Behavioral & Outcomes Research, Joslin Diabetes Center, Boston, MA 02215, United States
| | - Omnia Elenani
- Department of Clinical, Behavioral & Outcomes Research, Joslin Diabetes Center, Boston, MA 02215, United States
| | - Elena Toschi
- Department of Clinical, Behavioral & Outcomes Research, Joslin Diabetes Center, Boston, MA 02215, United States
- Department of Medicine, Harvard Medical School, Boston, MA 02115, United States
| | - Osama Hamdy
- Department of Clinical, Behavioral & Outcomes Research, Joslin Diabetes Center, Boston, MA 02215, United States
- Department of Medicine, Harvard Medical School, Boston, MA 02115, United States
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Bargain D, Campinos C. [Closed-loop insulin therapy in type 1 diabetes after age 60]. SOINS; LA REVUE DE REFERENCE INFIRMIERE 2023; 68:10-12. [PMID: 38070973 DOI: 10.1016/j.soin.2023.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The closed-loop insulin therapy system has become an indispensable tool in the management of type 1 diabetes. This technological feat improves glycemic control while reducing the mental burden on patients. In an exploratory study, we sought to determine whether older patients, who may be less familiar with new technologies, derive the same benefits as others. Is a lack of digital skills an obstacle to improving patients' daily lives?
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Affiliation(s)
- Diane Bargain
- Service endocrinologie et diabétologie, Hôpital NOVO, site de Pontoise, 6 avenue de l'Île-de-France, CS 90079 Pontoise, 95303 Cergy-Pontoise, France.
| | - Catherine Campinos
- Service endocrinologie et diabétologie, Hôpital NOVO, site de Pontoise, 6 avenue de l'Île-de-France, CS 90079 Pontoise, 95303 Cergy-Pontoise, France
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3
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Winterdijk P, Aanstoot HJ, Nefs G. The impact of real-time sensor technology on quality of life for adults with type 1 diabetes: A Dutch national survey. Diabetes Res Clin Pract 2023; 203:110886. [PMID: 37604282 DOI: 10.1016/j.diabres.2023.110886] [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: 04/13/2023] [Revised: 07/19/2023] [Accepted: 08/18/2023] [Indexed: 08/23/2023]
Abstract
AIMS To examine the impact of real-time continuous glucose monitoring (RT-CGM) on quality of life in Dutch adults with type 1 diabetes, inside/outside automated insulin delivery (AID) systems. METHODS In this cross-sectional retrospective observational study, RT-CGM users completed an online survey including (adapted) validated questionnaires, study-specific items and open-ended questions. RESULTS Of 893 participating adults, 69% used the RT-CGM as part of AID. The overall sample reported improvements in quality of life related to RT-CGM use (irrespective of initial indication), particularly with respect to physical health, emotional wellbeing and energy. Merits for sleep, intimacy and cognitive diabetes load lagged somewhat behind, mostly when RT-CGM was not integrated in AID. Users of AID had significantly larger improvements in overall quality of life, fatigue and diabetes-specific distress than users of sensor-augmented pump or Open Loop treatment. In regression analyses, user evaluations were associated with perceptions of benefit and burden. In qualitative content analysis, benefits (e.g. life 'normalization', increased perceptions of control) outweighed burdens (e.g. technology frustrations, confrontation with diabetes). CONCLUSIONS RT-CGM positively impacted the quality of life of adults with type 1 diabetes. This justifies a (re-)consideration of broader access. Increased support to maximize device benefits and minimize burdens is also warranted.
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Affiliation(s)
- Per Winterdijk
- Diabeter, Center for Type 1 Diabetes Care and Research, Blaak 6, 3011 TA Rotterdam, the Netherlands.
| | - Henk-Jan Aanstoot
- Diabeter, Center for Type 1 Diabetes Care and Research, Blaak 6, 3011 TA Rotterdam, the Netherlands.
| | - Giesje Nefs
- Diabeter, Center for Type 1 Diabetes Care and Research, Blaak 6, 3011 TA Rotterdam, the Netherlands; Radboud University Medical Center, Department of Medical Psychology, Huispost 926, PO Box 9101, 6500 HB Nijmegen, the Netherlands; Tilburg University, Center of Research on Psychological Disorders and Somatic Diseases (CoRPS), Department of Medical and Clinical Psychology, PO Box 90153, 5000 LE Tilburg, the Netherlands.
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Phillip M, Nimri R, Bergenstal RM, Barnard-Kelly K, Danne T, Hovorka R, Kovatchev BP, Messer LH, Parkin CG, Ambler-Osborn L, Amiel SA, Bally L, Beck RW, Biester S, Biester T, Blanchette JE, Bosi E, Boughton CK, Breton MD, Brown SA, Buckingham BA, Cai A, Carlson AL, Castle JR, Choudhary P, Close KL, Cobelli C, Criego AB, Davis E, de Beaufort C, de Bock MI, DeSalvo DJ, DeVries JH, Dovc K, Doyle FJ, Ekhlaspour L, Shvalb NF, Forlenza GP, Gallen G, Garg SK, Gershenoff DC, Gonder-Frederick LA, Haidar A, Hartnell S, Heinemann L, Heller S, Hirsch IB, Hood KK, Isaacs D, Klonoff DC, Kordonouri O, Kowalski A, Laffel L, Lawton J, Lal RA, Leelarathna L, Maahs DM, Murphy HR, Nørgaard K, O’Neal D, Oser S, Oser T, Renard E, Riddell MC, Rodbard D, Russell SJ, Schatz DA, Shah VN, Sherr JL, Simonson GD, Wadwa RP, Ward C, Weinzimer SA, Wilmot EG, Battelino T. Consensus Recommendations for the Use of Automated Insulin Delivery Technologies in Clinical Practice. Endocr Rev 2023; 44:254-280. [PMID: 36066457 PMCID: PMC9985411 DOI: 10.1210/endrev/bnac022] [Citation(s) in RCA: 114] [Impact Index Per Article: 114.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 07/22/2022] [Indexed: 02/06/2023]
Abstract
The significant and growing global prevalence of diabetes continues to challenge people with diabetes (PwD), healthcare providers, and payers. While maintaining near-normal glucose levels has been shown to prevent or delay the progression of the long-term complications of diabetes, a significant proportion of PwD are not attaining their glycemic goals. During the past 6 years, we have seen tremendous advances in automated insulin delivery (AID) technologies. Numerous randomized controlled trials and real-world studies have shown that the use of AID systems is safe and effective in helping PwD achieve their long-term glycemic goals while reducing hypoglycemia risk. Thus, AID systems have recently become an integral part of diabetes management. However, recommendations for using AID systems in clinical settings have been lacking. Such guided recommendations are critical for AID success and acceptance. All clinicians working with PwD need to become familiar with the available systems in order to eliminate disparities in diabetes quality of care. This report provides much-needed guidance for clinicians who are interested in utilizing AIDs and presents a comprehensive listing of the evidence payers should consider when determining eligibility criteria for AID insurance coverage.
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Affiliation(s)
- Moshe Phillip
- The Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children’s Medical Center of Israel, 49202 Petah Tikva, Israel
- Sacker Faculty of Medicine, Tel-Aviv University, 39040 Tel-Aviv, Israel
| | - Revital Nimri
- The Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children’s Medical Center of Israel, 49202 Petah Tikva, Israel
- Sacker Faculty of Medicine, Tel-Aviv University, 39040 Tel-Aviv, Israel
| | - Richard M Bergenstal
- International Diabetes Center, HealthPartners Institute, Minneapolis, MN 55416, USA
| | | | - Thomas Danne
- AUF DER BULT, Diabetes-Center for Children and Adolescents, Endocrinology and General Paediatrics, Hannover, Germany
| | - Roman Hovorka
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Boris P Kovatchev
- Center for Diabetes Technology, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA
| | - Laurel H Messer
- Barbara Davis Center for Diabetes, University of Colorado Denver—Anschutz Medical Campus, Aurora, CO 80045, USA
| | | | | | | | - Lia Bally
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Roy W Beck
- Jaeb Center for Health Research Foundation, Inc., Tampa, FL 33647, USA
| | - Sarah Biester
- AUF DER BULT, Diabetes-Center for Children and Adolescents, Endocrinology and General Paediatrics, Hannover, Germany
| | - Torben Biester
- AUF DER BULT, Diabetes-Center for Children and Adolescents, Endocrinology and General Paediatrics, Hannover, Germany
| | - Julia E Blanchette
- College of Nursing, University of Utah, Salt Lake City, UT 84112, USA
- Center for Diabetes and Obesity, University Hospitals Cleveland Medical Center, Cleveland, OH 44106, USA
| | - Emanuele Bosi
- Diabetes Research Institute, IRCCS San Raffaele Hospital and San Raffaele Vita Salute University, Milan, Italy
| | - Charlotte K Boughton
- Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke’s Hospital, University of Cambridge Metabolic Research Laboratories, Cambridge, UK
| | - Marc D Breton
- Center for Diabetes Technology, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA
| | - Sue A Brown
- Center for Diabetes Technology, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA
- Division of Endocrinology, University of Virginia, Charlottesville, VA 22903, USA
| | - Bruce A Buckingham
- Division of Endocrinology, Department of Pediatrics, Stanford University, School of Medicine, Stanford, CA 94304, USA
| | - Albert Cai
- The diaTribe Foundation/Close Concerns, San Diego, CA 94117, USA
| | - Anders L Carlson
- International Diabetes Center, HealthPartners Institute, Minneapolis, MN 55416, USA
| | - Jessica R Castle
- Harold Schnitzer Diabetes Health Center, Oregon Health & Science University, Portland, OR 97239, USA
| | - Pratik Choudhary
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Kelly L Close
- The diaTribe Foundation/Close Concerns, San Diego, CA 94117, USA
| | - Claudio Cobelli
- Department of Woman and Child’s Health, University of Padova, Padova, Italy
| | - Amy B Criego
- International Diabetes Center, HealthPartners Institute, Minneapolis, MN 55416, USA
| | - Elizabeth Davis
- Telethon Kids Institute, University of Western Australia, Perth Children’s Hospital, Perth, Australia
| | - Carine de Beaufort
- Diabetes & Endocrine Care Clinique Pédiatrique DECCP/Centre Hospitalier Luxembourg, and Faculty of Sciences, Technology and Medicine, University of Luxembourg, Esch sur Alzette, GD Luxembourg/Department of Paediatrics, UZ-VUB, Brussels, Belgium
| | - Martin I de Bock
- Department of Paediatrics, University of Otago, Christchurch, New Zealand
| | - Daniel J DeSalvo
- Division of Pediatric Diabetes and Endocrinology, Baylor College of Medicine, Texas Children’s Hospital, Houston, TX 77598, USA
| | - J Hans DeVries
- Amsterdam UMC, University of Amsterdam, Internal Medicine, Amsterdam, The Netherlands
| | - Klemen Dovc
- Department of Pediatric Endocrinology, Diabetes and Metabolic Diseases, UMC - University Children’s Hospital, Ljubljana, Slovenia, and Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Francis J Doyle
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA
| | - Laya Ekhlaspour
- Lucile Packard Children’s Hospital—Pediatric Endocrinology, Stanford University School of Medicine, Palo Alto, CA 94304, USA
| | - Naama Fisch Shvalb
- The Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children’s Medical Center of Israel, 49202 Petah Tikva, Israel
| | - Gregory P Forlenza
- Barbara Davis Center for Diabetes, University of Colorado Denver—Anschutz Medical Campus, Aurora, CO 80045, USA
| | | | - Satish K Garg
- Barbara Davis Center for Diabetes, University of Colorado Denver—Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Dana C Gershenoff
- International Diabetes Center, HealthPartners Institute, Minneapolis, MN 55416, USA
| | - Linda A Gonder-Frederick
- Center for Diabetes Technology, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA
| | - Ahmad Haidar
- Department of Biomedical Engineering, McGill University, Montreal, Canada
| | - Sara Hartnell
- Wolfson Diabetes and Endocrine Clinic, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | | | - Simon Heller
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | - Irl B Hirsch
- Department of Medicine, University of Washington Diabetes Institute, University of Washington, Seattle, WA, USA
| | - Korey K Hood
- Stanford Diabetes Research Center, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Diana Isaacs
- Cleveland Clinic, Endocrinology and Metabolism Institute, Cleveland, OH 44106, USA
| | - David C Klonoff
- Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA 94010, USA
| | - Olga Kordonouri
- AUF DER BULT, Diabetes-Center for Children and Adolescents, Endocrinology and General Paediatrics, Hannover, Germany
| | | | - Lori Laffel
- Joslin Diabetes Center, Harvard Medical School, Boston, MA 02215, USA
| | - Julia Lawton
- Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Rayhan A Lal
- Division of Endocrinology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Lalantha Leelarathna
- Manchester University Hospitals NHS Foundation Trust/University of Manchester, Manchester, UK
| | - David M Maahs
- Division of Endocrinology, Department of Pediatrics, Stanford University, School of Medicine, Stanford, CA 94304, USA
| | - Helen R Murphy
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - Kirsten Nørgaard
- Steno Diabetes Center Copenhagen and Department of Clinical Medicine, University of Copenhagen, Gentofte, Denmark
| | - David O’Neal
- Department of Medicine and Department of Endocrinology, St Vincent’s Hospital Melbourne, University of Melbourne, Melbourne, Australia
| | - Sean Oser
- Department of Family Medicine, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Tamara Oser
- Department of Family Medicine, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Eric Renard
- Department of Endocrinology, Diabetes, Nutrition, Montpellier University Hospital, and Institute of Functional Genomics, University of Montpellier, CNRS, INSERM, Montpellier, France
| | - Michael C Riddell
- School of Kinesiology & Health Science, Muscle Health Research Centre, York University, Toronto, Canada
| | - David Rodbard
- Biomedical Informatics Consultants LLC, Potomac, MD, USA
| | - Steven J Russell
- Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Desmond A Schatz
- Department of Pediatrics, College of Medicine, Diabetes Institute, University of Florida, Gainesville, FL 02114, USA
| | - Viral N Shah
- Barbara Davis Center for Diabetes, University of Colorado Denver—Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Jennifer L Sherr
- Department of Pediatrics, Yale University School of Medicine, Pediatric Endocrinology, New Haven, CT 06511, USA
| | - Gregg D Simonson
- International Diabetes Center, HealthPartners Institute, Minneapolis, MN 55416, USA
| | - R Paul Wadwa
- Barbara Davis Center for Diabetes, University of Colorado Denver—Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Candice Ward
- Institute of Metabolic Science, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Stuart A Weinzimer
- Department of Pediatrics, Yale University School of Medicine, Pediatric Endocrinology, New Haven, CT 06511, USA
| | - Emma G Wilmot
- Department of Diabetes & Endocrinology, University Hospitals of Derby and Burton NHS Trust, Derby, UK
- Division of Medical Sciences and Graduate Entry Medicine, University of Nottingham, Nottingham, England, UK
| | - Tadej Battelino
- Department of Pediatric Endocrinology, Diabetes and Metabolic Diseases, UMC - University Children’s Hospital, Ljubljana, Slovenia, and Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
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Manero C. Experiences of Patients Adopting and Adapting to Closed-Loop Insulin Delivery Systems (CLIDS). Sci Diabetes Self Manag Care 2023; 49:46-54. [PMID: 36541406 DOI: 10.1177/26350106221144957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
PURPOSE The purpose of the study was to explore the perspectives and experiences of adults with type 1 diabetes (T1DM) who are currently using the closed-loop insulin delivery system (CLIDS). METHODS Eleven adults with T1DM who used closed-loop insulin pumps for at least 6 months participated in this qualitative descriptive study. RESULTS Four themes emerged from the rich descriptions: (1) striving for improvement, (2) missing a magic wand effect, (3) seeking support, and (4) barriers to adaptation. These themes represent both process-based and psychosocial implications for nursing practice and patient education. CONCLUSIONS To optimize CLIDS use and outcome, the antecedent conditions that contribute to patients' decision to adopt it must be understood. Then, interventions that focus on setting realistic expectations must be created. Patients need support as they incorporate CLIDS into their T1DM self-management. Training health care providers on the idiosyncrasies of adapting to CLIDS is critical. Patients must learn to relinquish control and trust the machine and manage the anxiety the system's intrusive alarms cause them so they can be better supported cognitively and psychosocially.
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Affiliation(s)
- Chrystina Manero
- Tan Chingfen Graduate School of Nursing, UMass Chan Medical School, Worcester, Massachusetts
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Eysenbach G, Lin YK, Chhabra M, Henschke A, Brown E, Pedley L, Pedley E, Hannan K, Brown K, Wright K, Phillips C, Tricoli A, Nolan CJ, Suominen H, Desborough J. Toward Diabetes Device Development That Is Mindful to the Needs of Young People Living With Type 1 Diabetes: A Data- and Theory-Driven Qualitative Study. JMIR Diabetes 2023; 8:e43377. [PMID: 36696176 PMCID: PMC9947809 DOI: 10.2196/43377] [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: 10/11/2022] [Revised: 12/01/2022] [Accepted: 12/01/2022] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND An important strategy to understand young people's needs regarding technologies for type 1 diabetes mellitus (T1DM) management is to examine their day-to-day experiences with these technologies. OBJECTIVE This study aimed to examine young people's and their caregivers' experiences with diabetes technologies in an exploratory way and relate the findings to the existing technology acceptance and technology design theories. On the basis of this procedure, we aimed to develop device characteristics that meet young people's needs. METHODS Overall, 16 in-person and web-based face-to-face interviews were conducted with 7 female and 9 male young people with T1DM (aged between 12 and 17 years) and their parents between December 2019 and July 2020. The participants were recruited through a pediatric diabetes clinic based at Canberra Hospital. Data-driven thematic analysis was performed before theory-driven analysis to incorporate empirical data results into the unified theory of acceptance and use of technology (UTAUT) and value-sensitive design (VSD). We used the COREQ (Consolidated Criteria for Reporting Qualitative Research) checklist for reporting our research procedure and findings. In this paper, we summarize the key device characteristics that meet young people's needs. RESULTS Summarized interview themes from the data-driven analysis included aspects of self-management, device use, technological characteristics, and feelings associated with device types. In the subsequent theory-driven analysis, the interview themes aligned with all UTAUT and VSD factors except for one (privacy). Privacy concerns or related aspects were not reported throughout the interviews, and none of the participants made any mention of data privacy. Discussions around ideal device characteristics focused on reliability, flexibility, and automated closed loop systems that enable young people with T1DM to lead an independent life and alleviate parental anxiety. However, in line with a previous systematic review by Brew-Sam et al, the analysis showed that reality deviated from these expectations, with inaccuracy problems reported in continuous glucose monitoring devices and technical failures occurring in both continuous glucose monitoring devices and insulin pumps. CONCLUSIONS Our research highlights the benefits of the transdisciplinary use of exploratory and theory-informed methods for designing improved technologies. Technologies for diabetes self-management require continual advancement to meet the needs and expectations of young people with T1DM and their caregivers. The UTAUT and VSD approaches were found useful as a combined foundation for structuring the findings of our study.
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Affiliation(s)
| | | | - Madhur Chhabra
- National Centre for Epidemiology and Population Health, College of Health and Medicine, The Australian National University, Canberra, Australia
| | - Adam Henschke
- Philosophy Section, Faculty of Behavioural, Management, and Social Sciences, University of Twente, Enschede, Netherlands
| | - Ellen Brown
- National Centre for Epidemiology and Population Health, College of Health and Medicine, The Australian National University, Canberra, Australia
| | - Lachlan Pedley
- National Centre for Epidemiology and Population Health, College of Health and Medicine, The Australian National University, Canberra, Australia
| | - Elizabeth Pedley
- National Centre for Epidemiology and Population Health, College of Health and Medicine, The Australian National University, Canberra, Australia.,The Centenary Hospital for Women and Children, Canberra Health Services, Canberra, Australia
| | - Kristal Hannan
- National Centre for Epidemiology and Population Health, College of Health and Medicine, The Australian National University, Canberra, Australia
| | - Karen Brown
- National Centre for Epidemiology and Population Health, College of Health and Medicine, The Australian National University, Canberra, Australia.,The Centenary Hospital for Women and Children, Canberra Health Services, Canberra, Australia
| | - Kristine Wright
- National Centre for Epidemiology and Population Health, College of Health and Medicine, The Australian National University, Canberra, Australia.,The Centenary Hospital for Women and Children, Canberra Health Services, Canberra, Australia
| | - Christine Phillips
- School of Medicine and Psychology, College of Health and Medicine, The Australian National University, Canberra, Australia
| | - Antonio Tricoli
- Nanotechnology Research Laboratory, Faculty of Engineering, The University of Sydney, Sydney, Australia.,Nanotechnology Research Laboratory, Research School of Chemistry, College of Science, The Australian National University, Canberra, Australia
| | - Christopher J Nolan
- School of Medicine and Psychology, College of Health and Medicine, The Australian National University, Canberra, Australia.,The John Curtin School of Medical Research, College of Health and Medicine, The Australian National University, Canberra, Australia.,Department of Endocrinology and Diabetes, Canberra Health Services, Canberra, Australia
| | - Hanna Suominen
- School of Computing, College of Engineering, Computing and Cybernetics, The Australian National University, Canberra, Australia.,Department of Computing, University of Turku, Turku, Finland
| | - Jane Desborough
- National Centre for Epidemiology and Population Health, College of Health and Medicine, The Australian National University, Canberra, Australia
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Tanenbaum ML, Commissariat PV. Barriers and Facilitators to Diabetes Device Adoption for People with Type 1 Diabetes. Curr Diab Rep 2022; 22:291-299. [PMID: 35522355 PMCID: PMC9189072 DOI: 10.1007/s11892-022-01469-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/14/2022] [Indexed: 11/29/2022]
Abstract
PURPOSE OF REVIEW Diabetes technology (insulin pumps, continuous glucose monitoring, automated insulin delivery systems) has advanced significantly and provides benefits to the user. This article reviews the current barriers to diabetes device adoption and sustained use, and outlines the known and potential facilitators for increasing and sustaining device adoption. RECENT FINDINGS Barriers to diabetes device adoption continue to exist at the system-, provider-, and individual-level. Known facilitators to promote sustained adoption include consistent insurance coverage, support for providers and clinics, structured education and support for technology users, and device user access to support as needed (e.g., through online resources). Systemic barriers to diabetes device adoption persist while growing evidence demonstrates the increasing benefits of newest devices and systems. There are ongoing efforts to develop evidence-based structured education programs to support device adoption and sustained use.
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Affiliation(s)
- Molly L Tanenbaum
- Department of Pediatrics, Division of Endocrinology and Diabetes, Stanford University School of Medicine, Stanford, CA, USA.
| | - Persis V Commissariat
- Pediatric, Adolescent and Young Adult Section, Joslin Diabetes Center, Boston, MA, USA
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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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9
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von dem Berge T, Biester S, Biester T, Buchmann AK, Datz N, Grosser U, Kapitzke K, Klusmeier B, Remus K, Reschke F, Tiedemann I, Weiskorn J, Würsig M, Thomas A, Kordonouri O, Danne T. Empfehlungen zur Diabetes-Behandlung mit automatischen Insulin-Dosierungssystemen. DIABETOL STOFFWECHS 2021. [DOI: 10.1055/a-1652-9011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
ZusammenfassungDas Prinzip der automatischen Insulindosierung, kurz „AID“ genannt, zeigt in Zulassungsstudien und Real-World-Erfahrungen ausgezeichnete Behandlungsergebnisse. Beim AID wird eine Insulinpumpe mit einem System zur kontinuierlichen Glukosemessung zusammengeschaltet, während ein Rechenprogramm, der sogenannte Algorithmus, die Steuerung der Insulingabe nach Bedarf übernimmt. Idealerweise wäre das System ein geschlossener Kreis, bei dem die Menschen mit Diabetes keine Eingabe mehr machen müssten. Jedoch sind bei den heute verfügbaren Systemen verschiedene Grundeinstellungen und Eingaben erforderlich (insbesondere von Kohlenhydratmengen der Mahlzeiten oder körperlicher Aktivität), die sich von den bisherigen Empfehlungen der sensorunterstützten Pumpentherapie in einzelnen Aspekten unterscheiden. So werden die traditionellen Konzepte von „Basal“ und „Bolus“ mit AID weniger nützlich, da der Algorithmus beide Arten der Insulinabgabe verwendet, um die Glukosewerte dem eingestellten Zielwert zu nähern. Daher sollte bei diesen Systemen statt der Erfassung von „Basal“ und „Bolus“, zwischen einer „nutzerinitiierten“ und einer „automatischen“ Insulindosis unterschieden werden. Gemeinsame Therapieprinzipien der verschiedenen AID-Systeme umfassen die passgenaue Einstellung des Kohlenhydratverhältnisses, die Bedeutung des Timings der vom Anwender initiierten Insulinbolusgaben vor der Mahlzeit, den korrekten Umgang mit einem verzögerten oder versäumten Mahlzeitenbolus, neue Prinzipien im Umgang mit Sport oder Alkoholgenuss sowie den rechtzeitigen Umstieg von AID zu manuellem Modus bei Auftreten erhöhter Ketonwerte. Das Team vom Diabetes-Zentrum AUF DER BULT in Hannover hat aus eigenen Studienerfahrungen und der zugrunde liegenden internationalen Literatur praktische Empfehlungen zur Anwendung und Schulung der gegenwärtig und demnächst in Deutschland kommerziell erhältlichen Systeme zusammengestellt. Für den Erfolg der AID-Behandlung scheint das richtige Erwartungsmanagement sowohl beim Behandlungsteam und als auch beim Anwender von großer Bedeutung zu sein.
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Affiliation(s)
- Thekla von dem Berge
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Sarah Biester
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Torben Biester
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Anne-Kathrin Buchmann
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Nicolin Datz
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Ute Grosser
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Kerstin Kapitzke
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Britta Klusmeier
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Kerstin Remus
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Felix Reschke
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Inken Tiedemann
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Jantje Weiskorn
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Martina Würsig
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | | | - Olga Kordonouri
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Thomas Danne
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
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10
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Commissariat PV, Volkening LK, Butler DA, Dassau E, Weinzimer SA, Laffel LM. Innovative features and functionalities of an artificial pancreas system: What do youth and parents want? Diabet Med 2021; 38:e14492. [PMID: 33290599 PMCID: PMC9196947 DOI: 10.1111/dme.14492] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 11/25/2020] [Accepted: 12/02/2020] [Indexed: 01/25/2023]
Abstract
AIMS Participant-driven solutions may help youth and families better engage and maintain use of diabetes technologies. We explored innovative features and functionalities of an ideal artificial pancreas (AP) system suggested by youth with type 1 diabetes and parents. METHODS Semi-structured interviews were conducted with 39 youth, ages 10-25 years, and 44 parents. Interviews were recorded, transcribed and coded using thematic analysis. RESULTS Youth (72% female, 82% non-Hispanic white) were (M ± SD) ages 17.0 ± 4.7 years, with diabetes for 9.4 ± 4.9 years, and HbA1c of 68 ± 11 mmol/mol (8.4 ± 1.1%); 79% were pump-treated and 82% were continuous glucose monitor users. Of parents, 91% were mothers and 86% were non-Hispanic white, with a child 10.6 ± 4.5 years old. Youth and parents suggested a variety of innovative features and functionalities for an ideal AP system related to (1) enhancing the appeal of user interface, (2) increasing automation of new glucose management functionalities, and (3) innovative and commercial add-ons for greater convenience. Youth and parents offered many similar suggestions, including integration of ketone testing, voice activation, and location-tracking into the system. Youth seemed more driven by increasing convenience and normalcy while parents expressed more concerns with safety. CONCLUSIONS Youth and parents expressed creative solutions for an ideal AP system to increase ease of use, enhance normalcy, and reduce burden of management. Designers of AP systems will likely benefit from incorporating the desired preferences by end users to optimize acceptance and usability by young persons with diabetes.
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Affiliation(s)
| | | | - Deborah A Butler
- Joslin Diabetes Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Eyal Dassau
- Joslin Diabetes Center, Boston, MA, USA
- Harvard John A. Paulson School of Engineering and Applied Sciences, Cambridge, MA, USA
| | - Stuart A Weinzimer
- Yale University School of Medicine, New Haven, CT, USA
- Yale University School of Nursing, New Haven, CT, USA
| | - Lori M Laffel
- Joslin Diabetes Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
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11
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Kudva YC, Laffel LM, Brown SA, Raghinaru D, Pinsker JE, Ekhlaspour L, Levy CJ, Messer LH, Kovatchev BP, Lum JW, Beck RW, Gonder-Frederick L. Patient-Reported Outcomes in a Randomized Trial of Closed-Loop Control: The Pivotal International Diabetes Closed-Loop Trial. Diabetes Technol Ther 2021; 23:673-683. [PMID: 34115959 PMCID: PMC8573794 DOI: 10.1089/dia.2021.0089] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Background: Closed-loop control (CLC) has been shown to improve glucose time in range and other glucose metrics; however, randomized trials >3 months comparing CLC with sensor-augmented pump (SAP) therapy are limited. We recently reported glucose control outcomes from the 6-month international Diabetes Closed-Loop (iDCL) trial; we now report patient-reported outcomes (PROs) in this iDCL trial. Methods: Participants were randomized 2:1 to CLC (N = 112) versus SAP (N = 56) and completed questionnaires, including Hypoglycemia Fear Survey, Diabetes Distress Scale (DDS), Hypoglycemia Awareness, Hypoglycemia Confidence, Hyperglycemia Avoidance, and Positive Expectancies of CLC (INSPIRE) at baseline, 3, and 6 months. CLC participants also completed Diabetes Technology Expectations and Acceptance and System Usability Scale (SUS). Results: The Hypoglycemia Fear Survey Behavior subscale improved significantly after 6 months of CLC compared with SAP. DDS did not differ except for powerless subscale scores, which worsened at 3 months in SAP. Whereas Hypoglycemia Awareness and Hyperglycemia Avoidance did not differ between groups, CLC participants showed a tendency toward improved confidence in managing hypoglycemia. The INSPIRE questionnaire showed favorable scores in the CLC group for teens and parents, with a similar trend for adults. At baseline and 6 months, CLC participants had high positive expectations for the device with Diabetes Technology Acceptance and SUS showing high benefit and low burden scores. Conclusion: CLC improved some PROs compared with SAP. Participants reported high benefit and low burden with CLC. Clinical Trial Identifier: NCT03563313.
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Affiliation(s)
- Yogish C. Kudva
- Division of Endocrinology, Diabetes, Metabolism and Nutrition, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Lori M. Laffel
- Research Division, Joslin Diabetes Center and Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
| | - Sue A. Brown
- University of Virginia Center for Diabetes Technology, Charlottesville, Virginia, USA
- Division of Endocrinology, Department of Medicine, University of Virginia, Charlottesville, Virginia, USA
| | - Dan Raghinaru
- Jaeb Center for Health Research, Tampa, Florida, USA
| | | | - Laya Ekhlaspour
- Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Carol J. Levy
- Division of Endocrinology, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Laurel H. Messer
- Barbara Davis Center for Diabetes, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, USA
| | - Boris P. Kovatchev
- University of Virginia Center for Diabetes Technology, Charlottesville, Virginia, USA
| | - John W. Lum
- Jaeb Center for Health Research, Tampa, Florida, USA
- Address correspondence to: John W. Lum, MS, Jaeb Center for Health Research, 15310 Amberly Dr, Suite 350, Tampa, FL 33647, USA.
| | - Roy W. Beck
- Jaeb Center for Health Research, Tampa, Florida, USA
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12
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Addala A, Auzanneau M, Miller K, Maier W, Foster N, Kapellen T, Walker A, Rosenbauer J, Maahs DM, Holl RW. A Decade of Disparities in Diabetes Technology Use and HbA 1c in Pediatric Type 1 Diabetes: A Transatlantic Comparison. Diabetes Care 2021; 44:133-140. [PMID: 32938745 PMCID: PMC8162452 DOI: 10.2337/dc20-0257] [Citation(s) in RCA: 158] [Impact Index Per Article: 52.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Accepted: 08/07/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE As diabetes technology use in youth increases worldwide, inequalities in access may exacerbate disparities in hemoglobin A1c (HbA1c). We hypothesized that an increasing gap in diabetes technology use by socioeconomic status (SES) would be associated with increased HbA1c disparities. RESEARCH DESIGN AND METHODS Participants aged <18 years with diabetes duration ≥1 year in the Type 1 Diabetes Exchange (T1DX, U.S., n = 16,457) and Diabetes Prospective Follow-up (DPV, Germany, n = 39,836) registries were categorized into lowest (Q1) to highest (Q5) SES quintiles. Multiple regression analyses compared the relationship of SES quintiles with diabetes technology use and HbA1c from 2010-2012 to 2016-2018. RESULTS HbA1c was higher in participants with lower SES (in 2010-2012 and 2016-2018, respectively: 8.0% and 7.8% in Q1 and 7.6% and 7.5% in Q5 for DPV; 9.0% and 9.3% in Q1 and 7.8% and 8.0% in Q5 for T1DX). For DPV, the association between SES and HbA1c did not change between the two time periods, whereas for T1DX, disparities in HbA1c by SES increased significantly (P < 0.001). After adjusting for technology use, results for DPV did not change, whereas the increase in T1DX was no longer significant. CONCLUSIONS Although causal conclusions cannot be drawn, diabetes technology use is lowest and HbA1c is highest in those of the lowest SES quintile in the T1DX, and this difference for HbA1c broadened in the past decade. Associations of SES with technology use and HbA1c were weaker in the DPV registry.
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Affiliation(s)
- Ananta Addala
- Division of Pediatric Endocrinology, Stanford University, Stanford, CA
| | - Marie Auzanneau
- University of Ulm, Institute of Epidemiology and Medical Biometry, ZIBMT, Ulm, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | | | - Werner Maier
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Helmholtz Zentrum München - German Research Center for Environmental Health, Institute of Health Economics and Health Care Management, Neuherberg, Germany
| | | | - Thomas Kapellen
- University of Leipzig, Department of Women and Child Health, Hospital for Children and Adolescents, Leipzig, Germany
| | - Ashby Walker
- Health Equity Initiatives, UF Diabetes Institute, University of Florida, Gainesville, FL
| | - Joachim Rosenbauer
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Leibniz Center for Diabetes Research at Heinrich Heine University, Institute for Biometrics and Epidemiology, German Diabetes Center, Düsseldorf, Germany
| | - David M Maahs
- Division of Pediatric Endocrinology, Stanford University, Stanford, CA
- Stanford Diabetes Research Center, Stanford, CA
| | - Reinhard W Holl
- University of Ulm, Institute of Epidemiology and Medical Biometry, ZIBMT, Ulm, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
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13
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Pease A, Szwarcbard N, Earnest A, Andrikopoulos S, Wischer N, Zoungas S. Glycaemia and utilisation of technology across the lifespan of adults with type 1 diabetes: Results of the Australian National Diabetes Audit (ANDA). Diabetes Res Clin Pract 2021; 171:108609. [PMID: 33310120 DOI: 10.1016/j.diabres.2020.108609] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 10/30/2020] [Accepted: 12/02/2020] [Indexed: 01/22/2023]
Abstract
AIMS To evaluate the utilisation of technologies and associated glycaemia among adults with type 1 diabetes. METHODS De-identified data from adults with type 1 diabetes (≥18 years old) in the Australian National Diabetes Audit (ANDA)-2019 were analysed. Proportions using insulin pumps or injections with continuous glucose monitoring (CGM) or capillary-glucose testing were compared. Technology use among adults was compared to young people (<21 years old) with subsidised CGM. Glycaemia and complication-burden were assessed across management strategies. RESULTS 1,693 adults were analysed. Mean(±SD) age, diabetes duration, and HbA1c were 43.3 ± 17.0 years, 20.3 ± 14.3 years and 8.4% ± 1.7 [68 ± 19 mmol/mol], respectively. Among adults, 40% used at least one device, 27% used insulin pumps, and 23% used CGM. CGM was used by 62% of young people with subsidised access. Mean HbA1c was consistently lower among adults using CGM, insulin pumps, or combined insulin pump and CGM compared to standard care (8.3% ± 1.6 [67 ± 18 mmol/mol], 8.2% ± 1.4 [66 ± 15 mmol/mol], and 7.8% ± 1.4 [62 ± 15 mmol/mol] respectively compared to 8.6% ± 1.8 [70 ± 20 mmol/mol], p < 0.001). Technology use was not associated with diabetic ketoacidosis but CGM was associated with more hypoglycaemia. CONCLUSIONS Government subsidy is an important consideration for utilisation of technologies among adults with type 1 diabetes. Technology use across the adult lifespan was associated with lower HbA1c than insulin injections and capillary-glucose testing.
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Affiliation(s)
- Anthony Pease
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Monash Health, Melbourne, Victoria, Australia.
| | - Naomi Szwarcbard
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Alfred Health, Melbourne, Victoria, Australia.
| | - Arul Earnest
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
| | - Sofianos Andrikopoulos
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia.
| | - Natalie Wischer
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
| | - Sophia Zoungas
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Monash Health, Melbourne, Victoria, Australia; Alfred Health, Melbourne, Victoria, Australia.
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14
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Pease A, Zomer E, Liew D, Earnest A, Soldatos G, Ademi Z, Zoungas S. Cost-Effectiveness Analysis of a Hybrid Closed-Loop System Versus Multiple Daily Injections and Capillary Glucose Testing for Adults with Type 1 Diabetes. Diabetes Technol Ther 2020; 22:812-821. [PMID: 32348159 DOI: 10.1089/dia.2020.0064] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Background: Hybrid closed-loop systems may offer improved HbA1c levels, more time-in-range, and less hypoglycemia than alternative treatment strategies. However, it is unclear if glycemic improvements offset this technology's higher acquisition costs. Among adults with type 1 diabetes in Australia, we sought to evaluate the cost-effectiveness of a hybrid closed-loop system in comparison with the current standard of care, comprising insulin injections and capillary glucose testing. Methods: Cost-effectiveness analysis was performed using decision analysis in combination with a Markov model to simulate disease progression in a cohort of adults with type 1 diabetes and compare the downstream health and economic consequences of hybrid closed-loop therapy versus current standard of care. Transition probabilities and utilities were sourced from published studies. Costs were considered from the perspective of the Australian health care system. A lifetime horizon was considered, with annual discount rates of 5% applied to future costs and outcomes. Uncertainty was assessed with probabilistic and deterministic sensitivity analyses. Results: Use of a hybrid closed-loop system resulted in an incremental cost-effectiveness ratio of Australian dollars (AUD) 37,767 per quality-adjusted life year (QALY) gained. This is below the traditionally cited willingness to pay a threshold of $50,000 per QALY gained in the Australian setting. Sensitivity analyses that varied baseline glycemic control, treatment effects, technology costs, age, discount rates, and time horizon indicated the results to be robust. Conclusions: For adults with type 1 diabetes, hybrid closed-loop therapy is likely to be cost-effective compared with multiple daily injections and capillary glucose testing in Australia.
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Affiliation(s)
- Anthony Pease
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
- Monash Health, Melbourne, Australia
| | - Ella Zomer
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Danny Liew
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
- Alfred Health, Melbourne, Australia
| | - Arul Earnest
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Georgia Soldatos
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
- Monash Health, Melbourne, Australia
| | - Zanfina Ademi
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Sophia Zoungas
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
- Monash Health, Melbourne, Australia
- Alfred Health, Melbourne, Australia
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15
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Messer LH, Tanenbaum ML, Cook PF, Wong JJ, Hanes SJ, Driscoll KA, Hood KK. Cost, Hassle, and On-Body Experience: Barriers to Diabetes Device Use in Adolescents and Potential Intervention Targets. Diabetes Technol Ther 2020; 22:760-767. [PMID: 32163719 DOI: 10.1089/dia.2019.0509] [Citation(s) in RCA: 65] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Background: Adolescents with diabetes have the highest A1cs of all age groups. Diabetes devices (insulin pumps and continuous glucose monitors [CGM]) can improve glycemic outcomes, and although the uptake of devices has increased, they remain underutilized in this population. This study characterizes adolescent-reported barriers to diabetes device use to determine targets for clinician intervention. Methods: We surveyed 411 adolescents with type 1 diabetes (mean age 16.30 ± 2.25 years) on barriers to diabetes device use, technology use attitudes (general and diabetes specific), benefits and burdens of CGM, self-efficacy for diabetes care, diabetes distress, family conflict, and depression. We characterize barriers to device uptake; assess demographic and psychosocial differences in device users, discontinuers, and nonusers; and determine differences in device use by gender and age. Results: The majority of adolescents used an insulin pump (n = 307, 75%) and more than half used CGM (n = 225, 55%). Cost/insurance-related concerns were the most commonly endorsed barrier category (61%) followed by wear-related issues (58.6%), which include the hassle of wearing the device (38%) and dislike of device on the body (33%). Adolescents who endorsed more barriers also reported more diabetes distress (P = 0.003), family conflict (P = 0.003), and depressive symptoms (P = 0.014). Pump and CGM discontinuers both endorsed more barriers and more negative perceptions of technology than current users, but reported no difference from device users in diabetes distress, family conflict, or depression. Gender was not related to the perceptions of devices. Conclusions: Clinicians can proactively assess attitudes toward diabetes technology and perceptions of benefits/burdens to encourage device uptake and potentially prevent device discontinuation among adolescents.
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Affiliation(s)
- Laurel H Messer
- Barbara Davis Center, University of Colorado School of Medicine, Aurora, Colorado
| | - Molly L Tanenbaum
- Department of Pediatrics, Stanford University School of Medicine, Palo Alto, California
| | - Paul F Cook
- College of Nursing, University of Colorado, Aurora, Colorado
| | - Jessie J Wong
- Department of Pediatrics, Stanford University School of Medicine, Palo Alto, California
| | - Sarah J Hanes
- Department of Pediatrics, Stanford University School of Medicine, Palo Alto, California
| | - Kimberly A Driscoll
- Department of Clinical and Health Psychology, University of Florida, Gainesville, Florida
| | - Korey K Hood
- Department of Pediatrics, Stanford University School of Medicine, Palo Alto, California
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16
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Cobry EC, Berget C, Messer LH, Forlenza GP. Review of the Omnipod ® 5 Automated Glucose Control System Powered by Horizon™ for the treatment of Type 1 diabetes. Ther Deliv 2020; 11:507-519. [PMID: 32723002 PMCID: PMC8097502 DOI: 10.4155/tde-2020-0055] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Accepted: 07/17/2020] [Indexed: 12/21/2022] Open
Abstract
Type 1 diabetes (T1D) is a medical condition that requires constant management, including monitoring of blood glucose levels and administration of insulin. Advancements in diabetes technology have offered methods to reduce the burden on people with T1D. Several hybrid closed-loop systems are commercially available or in clinical trials, each with unique features to improve care for patients with T1D. This article reviews the Omnipod® 5 Automated Glucose Control System Powered by Horizon™ and the safety and efficacy data to support its use in the management of T1D.
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Affiliation(s)
- Erin C Cobry
- University of Colorado School of Medicine, Barbara Davis Center, Aurora, CO 80045 USA
| | - Cari Berget
- University of Colorado School of Medicine, Barbara Davis Center, Aurora, CO 80045 USA
| | - Laurel H Messer
- University of Colorado School of Medicine, Barbara Davis Center, Aurora, CO 80045 USA
| | - Gregory P Forlenza
- University of Colorado School of Medicine, Barbara Davis Center, Aurora, CO 80045 USA
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17
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Pease A, Lo C, Earnest A, Kiriakova V, Liew D, Zoungas S. The Efficacy of Technology in Type 1 Diabetes: A Systematic Review, Network Meta-analysis, and Narrative Synthesis. Diabetes Technol Ther 2020; 22:411-421. [PMID: 31904262 DOI: 10.1089/dia.2019.0417] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Background: Existing technologies for type 1 diabetes have not been compared against the full range of alternative devices. Multiple metrics of glycemia and patient-reported outcomes for evaluating technologies also require consideration. We thus conducted a systematic review, network meta-analysis, and narrative synthesis to compare the relative efficacy of available technologies for the management of type 1 diabetes. Methods: We searched MEDLINE, MEDLINE In-Process and other nonindexed citations, EMBASE, PubMed, All Evidence-Based Medicine Reviews, Web of Science, PsycINFO, CINAHL, and PROSPERO (inception-April 24, 2019). We included RCT ≥6 weeks duration comparing technologies for type 1 diabetes management among nonpregnant adults (>18 years of age). Data were extracted using a predefined tool. Primary outcomes were A1c (%), hypoglycemia rates, and quality of life (QoL). We estimated mean difference for A1c and nonsevere hypoglycemia, rate ratio for severe hypoglycemia, and standardized mean difference for QoL in network meta-analysis with random effects. Results: We identified 16,772 publications, of which 52 eligible studies compared 12 diabetes management technologies comprising 3,975 participants in network meta-analysis. Integrated insulin pump and continuous glucose monitoring (CGM) systems with low-glucose suspend or hybrid closed-loop algorithms resulted in A1c levels 0.96% (predictive interval [95% PrI] 0.04-1.89) and 0.87% (95% PrI 0.12-1.63) lower than multiple daily injections with either flash glucose monitoring or capillary glucose testing, respectively. In addition, integrated systems had the best ranking for A1c reduction utilizing the surface under the cumulative ranking curve (SUCRA-96.4). While treatment effects were nonsignificant for many technology comparisons regarding severe hypoglycemia and QoL, simultaneous evaluation of outcomes in cluster analyses as well as narrative synthesis appeared to favor integrated insulin pump and continuous glucose monitors. Overall risk of bias was moderate-high. Certainty of evidence was very low. Conclusions: Integrated insulin pump and CGM systems with low-glucose suspend or hybrid closed-loop capability appeared best for A1c reduction, composite ranking for A1c and severe hypoglycemia, and possibly QoL. Registration: PROSPERO, number CRD42017077221.
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Affiliation(s)
- Anthony Pease
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
- Monash Health, Melbourne, Australia
| | - Clement Lo
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
- Monash Health, Melbourne, Australia
| | - Arul Earnest
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | | | - Danny Liew
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
- Alfred Health, Melbourne, Australia
| | - Sophia Zoungas
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
- Monash Health, Melbourne, Australia
- Alfred Health, Melbourne, Australia
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Saunders A, Messer LH, Forlenza GP. MiniMed 670G hybrid closed loop artificial pancreas system for the treatment of type 1 diabetes mellitus: overview of its safety and efficacy. Expert Rev Med Devices 2019; 16:845-853. [PMID: 31540557 DOI: 10.1080/17434440.2019.1670639] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Introduction: Automated insulin delivery for people with type 1 diabetes has been a major goal in the diabetes technology field for many years. While a fully automated system has not yet been accomplished, the MiniMed™ 670G artificial pancreas (AP) system is the first commercially available insulin pump that automates basal insulin delivery, while still requiring user input for insulin boluses. Determining the safety and efficacy of this system is essential to the development of future devices striving for more automation. Areas Covered: This review will provide an overview of how the MiniMed 670G system works including its safety and efficacy, how it compares to similar devices, and anticipated future advances in diabetes technology currently under development. Expert Opinion: The ultimate goal of advanced diabetes technologies is to reduce the burden and amount of management required of patients with diabetes. In addition to reducing patient workload, achieving better glucose control and improving hemoglobin A1c (HbA1c) values are essential for reducing the threat of diabetes-related complications further down the road. Current devices come close to reaching these goals, but understanding the unmet needs of patients with diabetes will allow future technologies to achieve these goals more quickly.
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Affiliation(s)
- Aria Saunders
- Department of Bioengineering, University of Colorado Denver , Denver , CO , USA
| | - Laurel H Messer
- Barbara Davis Center, University of Colorado Denver , Aurora , CO , USA
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Berget C, Messer LH, Forlenza GP. A Clinical Overview of Insulin Pump Therapy for the Management of Diabetes: Past, Present, and Future of Intensive Therapy. Diabetes Spectr 2019; 32:194-204. [PMID: 31462873 PMCID: PMC6695255 DOI: 10.2337/ds18-0091] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
IN BRIEF Insulin pump therapy is advancing rapidly. This article summarizes the variety of insulin pump technologies available to date and discusses important clinical considerations for each type of technology.
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Messer LH, Berget C, Forlenza GP. A Clinical Guide to Advanced Diabetes Devices and Closed-Loop Systems Using the CARES Paradigm. Diabetes Technol Ther 2019; 21:462-469. [PMID: 31140878 PMCID: PMC6653788 DOI: 10.1089/dia.2019.0105] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Laurel H. Messer
- Barbara Davis Center for Childhood Diabetes, University of Colorado Denver, Aurora, Colorado
- Address correspondence to: Laurel H. Messer, RN, MPH, CDE, Barbara Davis Center for Childhood Diabetes, University of Colorado Denver, 1775 Aurora CT MS A140, Aurora, CO 80045
| | - Cari Berget
- Barbara Davis Center for Childhood Diabetes, University of Colorado Denver, Aurora, Colorado
| | - Gregory P. Forlenza
- Barbara Davis Center for Childhood Diabetes, University of Colorado Denver, Aurora, Colorado
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Jendle J, Pöhlmann J, de Portu S, Smith-Palmer J, Roze S. Cost-Effectiveness Analysis of the MiniMed 670G Hybrid Closed-Loop System Versus Continuous Subcutaneous Insulin Infusion for Treatment of Type 1 Diabetes. Diabetes Technol Ther 2019; 21:110-118. [PMID: 30785311 DOI: 10.1089/dia.2018.0328] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Hybrid closed-loop (HCL) systems combine continuous glucose monitoring with continuous subcutaneous insulin infusion (CSII) to continuously self-adjust basal insulin delivery. Relative to CSII, HCL improves glycemic control and reduces the risk of hypoglycemia but has higher acquisition costs. The aim of this analysis was to assess the cost-effectiveness of the MiniMed™ 670G HCL system versus CSII in people with type 1 diabetes (T1D) in Sweden. METHODS Cost-effectiveness analysis, from a societal perspective, was performed over patient lifetimes using the IQVIA CORE Diabetes Model. Clinical data were sourced from a study comparing the MiniMed 670G system with CSII in people with T1D. Cost data, expressed in 2018 Swedish krona (SEK), were obtained from Swedish reference prices and published literature. RESULTS The MiniMed 670G system was associated with a quality-adjusted life-year (QALY) gain of 1.90 but higher overall costs versus CSII, leading to an incremental cost-effectiveness ratio (ICER) of SEK 164,236 per QALY gained. Use of the HCL system resulted in a lower cumulative incidence of diabetes-related complications. Higher HCL system acquisition costs were partially offset by reduced complication costs and productivity losses. In people with T1D poorly controlled at baseline, the MiniMed 670G system was associated with 2.25 incremental QALYs versus CSII, yielding an ICER of SEK 15,830 per QALY gained. CONCLUSIONS The MiniMed 670G system was associated with clinical benefits and quality-of-life improvements in people with T1D relative to CSII. At a willingness-to-pay threshold of SEK 300,000 per QALY gained, this HCL system likely represents a cost-effective treatment option for people with T1D in Sweden.
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Affiliation(s)
- Johan Jendle
- 1 Faculty of Medical Sciences, Örebro University, Örebro, Sweden
| | - Johannes Pöhlmann
- 2 Ossian Health Economics and Communications GmbH, Basel, Switzerland
| | - Simona de Portu
- 3 Medtronic International Trading Sàrl, Tolochenaz, Switzerland
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