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Prahalad P, Scheinker D, Desai M, Ding VY, Bishop FK, Lee MY, Ferstad J, Zaharieva DP, Addala A, Johari R, Hood K, Maahs DM. Equitable implementation of a precision digital health program for glucose management in individuals with newly diagnosed type 1 diabetes. Nat Med 2024:10.1038/s41591-024-02975-y. [PMID: 38702523 DOI: 10.1038/s41591-024-02975-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 04/03/2024] [Indexed: 05/06/2024]
Abstract
Few young people with type 1 diabetes (T1D) meet glucose targets. Continuous glucose monitoring improves glycemia, but access is not equitable. We prospectively assessed the impact of a systematic and equitable digital-health-team-based care program implementing tighter glucose targets (HbA1c < 7%), early technology use (continuous glucose monitoring starts <1 month after diagnosis) and remote patient monitoring on glycemia in young people with newly diagnosed T1D enrolled in the Teamwork, Targets, Technology, and Tight Control (4T Study 1). Primary outcome was HbA1c change from 4 to 12 months after diagnosis; the secondary outcome was achieving the HbA1c targets. The 4T Study 1 cohort (36.8% Hispanic and 35.3% publicly insured) had a mean HbA1c of 6.58%, 64% with HbA1c < 7% and mean time in the range (70-180 mg dl-1) of 68% at 1 year after diagnosis. Clinical implementation of the 4T Study 1 met the prespecified primary outcome and improved glycemia without unexpected serious adverse events. The strategies in the 4T Study 1 can be used to implement systematic and equitable care for individuals with T1D and translate to care for other chronic diseases. ClinicalTrials.gov registration: NCT04336969 .
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Affiliation(s)
- Priya Prahalad
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, USA.
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, USA.
| | - David Scheinker
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, USA
- Department of Management Science and Engineering, Stanford University, Stanford, CA, USA
- Clinical Excellence Research Center, Stanford University, Stanford, CA, USA
| | - Manisha Desai
- Department of Medicine, Quantitative Sciences Unit, Stanford University, Stanford, CA, USA
| | - Victoria Y Ding
- Department of Medicine, Quantitative Sciences Unit, Stanford University, Stanford, CA, USA
| | - Franziska K Bishop
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, USA
| | - Ming Yeh Lee
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, USA
| | - Johannes Ferstad
- Department of Management Science and Engineering, Stanford University, Stanford, CA, USA
| | - Dessi P Zaharieva
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, USA
| | - Ananta Addala
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, USA
| | - Ramesh Johari
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, USA
- Department of Management Science and Engineering, Stanford University, Stanford, CA, USA
| | - Korey Hood
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, USA
| | - David M Maahs
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, USA
- Department of Health Research and Policy (Epidemiology), Stanford University, Stanford, CA, USA
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Leverenz JC, Leverenz B, Prahalad P, Bishop FK, Sagan P, Martinez-Singh A, Conrad B, Chmielewski A, Senaldi J, Scheinker D, Maahs DM. Role and Perspective of Certified Diabetes Care and Education Specialists in the Development of the 4T Program. Diabetes Spectr 2024; 37:153-159. [PMID: 38756427 PMCID: PMC11093765 DOI: 10.2337/ds23-0010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/18/2024]
Affiliation(s)
- Jeannine C. Leverenz
- Lucile Packard Children’s Hospital, Division of Pediatric Endocrinology, Palo Alto, CA
| | - Brianna Leverenz
- Stritch School of Medicine, Loyola University Chicago, Maywood, IL
| | - Priya Prahalad
- Lucile Packard Children’s Hospital, Division of Pediatric Endocrinology, Palo Alto, CA
- Division of Endocrinology, Department of Pediatrics, Stanford University, School of Medicine, Stanford, CA
- Stanford Diabetes Research Center, Stanford, CA
| | - Franziska K. Bishop
- Division of Endocrinology, Department of Pediatrics, Stanford University, School of Medicine, Stanford, CA
| | - Piper Sagan
- Lucile Packard Children’s Hospital, Division of Pediatric Endocrinology, Palo Alto, CA
| | - Anjoli Martinez-Singh
- Lucile Packard Children’s Hospital, Division of Pediatric Endocrinology, Palo Alto, CA
| | - Barry Conrad
- Lucile Packard Children’s Hospital, Division of Pediatric Endocrinology, Palo Alto, CA
| | - Annette Chmielewski
- Lucile Packard Children’s Hospital, Division of Pediatric Endocrinology, Palo Alto, CA
| | - Julianne Senaldi
- Lucile Packard Children’s Hospital, Division of Pediatric Endocrinology, Palo Alto, CA
| | - David Scheinker
- Division of Endocrinology, Department of Pediatrics, Stanford University, School of Medicine, Stanford, CA
| | - David M. Maahs
- Lucile Packard Children’s Hospital, Division of Pediatric Endocrinology, Palo Alto, CA
- Division of Endocrinology, Department of Pediatrics, Stanford University, School of Medicine, Stanford, CA
- Stanford Diabetes Research Center, Stanford, CA
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Tanenbaum ML, Addala A, Hanes S, Ritter V, Bishop FK, Cortes AL, Pang E, Hood KK, Maahs DM, Zaharieva DP. "It changed everything we do": A mixed methods study of youth and parent experiences with a pilot exercise education intervention following new diagnosis of type 1 diabetes. J Diabetes Complications 2024; 38:108651. [PMID: 38043358 PMCID: PMC10843536 DOI: 10.1016/j.jdiacomp.2023.108651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 11/06/2023] [Accepted: 11/19/2023] [Indexed: 12/05/2023]
Abstract
AIMS This pilot study delivered a comprehensive exercise education intervention to youth with new-onset type 1 diabetes (T1D) and their parents to increase knowledge and confidence with physical activity (PA) shortly after diagnosis. METHODS Youth initiated continuous glucose monitoring (CGM) and PA trackers within 1 month of diagnosis. Youth and their parents received the 4-session intervention over 12 months. Participants completed self-report questionnaires at baseline, 6- and 12-months. Surveys were analyzed using linear mixed effects models. Semi-structured interviews and focus groups explored experiences with the exercise education intervention. Groups and interviews were audio-recorded, transcribed, and analyzed using content analysis. RESULTS A total of 16 parents (aged 46 ± 7 years; 88 % female; 67 % non-Hispanic White) and 17 youth (aged 14 ± 2 years; 41 % female; 65 % non-Hispanic White) participated. Worry about hypoglycemia did not worsen throughout the study duration. Parents and youth reported increased knowledge and confidence in managing T1D safely and preventing hypoglycemia during PA following receiving the tailored exercise education intervention. CONCLUSION This study assessed a novel structured exercise education program for youth and their parents shortly following T1D diagnosis. These results support the broad translation and acceptability of a structured exercise education program in new-onset T1D.
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Affiliation(s)
- Molly L Tanenbaum
- Division of Endocrinology, Gerontology, & Metabolism, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA; Stanford Diabetes Research Center, Stanford, CA, USA; Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
| | - Ananta Addala
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
| | - Sarah Hanes
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
| | - Victor Ritter
- Department of Medicine, Division of Biomedical Informatics Research, Stanford University, Stanford, CA, USA.
| | - Franziska K Bishop
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
| | - Ana L Cortes
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
| | - Erica Pang
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
| | - Korey K Hood
- Stanford Diabetes Research Center, Stanford, CA, USA; Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
| | - David M Maahs
- Stanford Diabetes Research Center, Stanford, CA, USA; Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
| | - Dessi P Zaharieva
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
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Prahalad P, Maahs DM. Roadmap to Continuous Glucose Monitoring Adoption and Improved Outcomes in Endocrinology: The 4T (Teamwork, Targets, Technology, and Tight Control) Program. Diabetes Spectr 2023; 36:299-305. [PMID: 37982062 PMCID: PMC10654131 DOI: 10.2337/dsi23-0003] [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: 11/21/2023]
Abstract
Glucose monitoring is essential for the management of type 1 diabetes and has evolved from urine glucose monitoring in the early 1900s to home blood glucose monitoring in the 1980s to continuous glucose monitoring (CGM) today. Youth with type 1 diabetes struggle to meet A1C goals; however, CGM is associated with improved A1C in these youth and is recommended as a standard of care by diabetes professional organizations. Despite their utility, expanding uptake of CGM systems has been challenging, especially in minoritized communities. The 4T (Teamwork, Targets, Technology, and Tight Control) program was developed using a team-based approach to set consistent glycemic targets and equitably initiate CGM and remote patient monitoring in all youth with new-onset type 1 diabetes. In the pilot 4T study, youth in the 4T cohort had a 0.5% improvement in A1C 12 months after diabetes diagnosis compared with those in the historical cohort. The 4T program can serve as a roadmap for other multidisciplinary pediatric type 1 diabetes clinics to increase CGM adoption and improve glycemic outcomes.
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Affiliation(s)
- Priya Prahalad
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA
- Stanford Diabetes Research Center, Stanford University, Stanford, CA
| | - David M. Maahs
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA
- Stanford Diabetes Research Center, Stanford University, Stanford, CA
- Department of Health Research and Policy (Epidemiology), Stanford University, Stanford, CA
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Lim RJ, Roberts AG, O’Dea JM, Shetty V, Roby HC, Davis EA, Teo SYM. Developing type 1 diabetes resources: a qualitative study to identify resources needed to upskill and support community sport coaches. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2023; 4:1284783. [PMID: 38028978 PMCID: PMC10646303 DOI: 10.3389/fcdhc.2023.1284783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 10/17/2023] [Indexed: 12/01/2023]
Abstract
Introduction Community sport coaches in Western Australia lack an understanding, the confidence, and knowledge in supporting young people with Type 1 diabetes (T1D). This study aims to identify what T1D educational resources are required to upskill coaches in Western Australia. Methods Semi-structured online interviews were conducted with i) young people living with T1D, ii) parents of young people living with T1D and iii) community sport coaches. The questions explored i) past experiences of T1D management in community sport ii) the T1D information coaches should be expected to know about and iii) the format of resources to be developed. Thematic analysis of interview transcripts was performed, and the themes identified were used to guide resource development. Results Thirty-two participants (16 young people living with T1D, 8 parents, 8 coaches) were interviewed. From the interviews, young people wanted coaches to have a better understanding of what T1D is and the effect it has on their sporting performance, parents wanted a resource that explains T1D to coaches, and sports coaches wanted to know the actions to best support a player living with T1D. All groups identified that signs and symptoms of hypoglycaemia and hyperglycaemia needed to be a key component of the resource. Sports coaches wanted a resource that is simple, quick to read and available in a variety of different formats. Conclusion The interviews resulted in valuable information gained from all groups and have reinforced the need for the development of specific resources to increase community knowledge and provide support for players with T1D, parents and sport coaches.
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Affiliation(s)
- Rachel J. Lim
- Rio Tinto Children’s Diabetes Centre, Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia
| | - Alison G. Roberts
- Rio Tinto Children’s Diabetes Centre, Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia
- Department of Endocrinology and Diabetes, Perth Children’s Hospital, Perth, WA, Australia
| | - Joanne M. O’Dea
- Rio Tinto Children’s Diabetes Centre, Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia
| | - Vinutha B. Shetty
- Rio Tinto Children’s Diabetes Centre, Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia
- Department of Endocrinology and Diabetes, Perth Children’s Hospital, Perth, WA, Australia
- Division of Paediatrics within the Medical School, The University of Western Australia, Perth, WA, Australia
| | - Heather C. Roby
- Rio Tinto Children’s Diabetes Centre, Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia
| | - Elizabeth A. Davis
- Rio Tinto Children’s Diabetes Centre, Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia
- Department of Endocrinology and Diabetes, Perth Children’s Hospital, Perth, WA, Australia
- Division of Paediatrics within the Medical School, The University of Western Australia, Perth, WA, Australia
| | - Shaun Y. M. Teo
- Rio Tinto Children’s Diabetes Centre, Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia
- Centre for Child Health Research, The University of Western Australia, Perth, WA, Australia
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Kompala T, Wong J, Neinstein A. Diabetes Specialists Value Continuous Glucose Monitoring Despite Challenges in Prescribing and Data Review Process. J Diabetes Sci Technol 2023; 17:1265-1273. [PMID: 35403469 PMCID: PMC10563522 DOI: 10.1177/19322968221088267] [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] [Indexed: 11/16/2022]
Abstract
BACKGROUND Diabetes clinicians are key facilitators of continuous glucose monitoring (CGM) provision, but data on provider behavior related to CGM use and CGM generated data are limited. METHODS We conducted a national survey of providers caring for people with diabetes on CGM-related opinions, facilitators and barriers to prescription, and data review practices. RESULTS Of 182 survey respondents, 73.2% worked at academic centers, 70.6% were endocrinologists, and 70.7% practiced in urban settings. Nearly 70% of providers reported CGM use in the majority of their patients with type 1 diabetes. Half of the providers reported CGM use in 10% to 50% of their patients with type 2 diabetes. All respondents believed CGM improved quality of life and could optimize diabetes control. We found no differences in reported rates of CGM use based on providers' years of experience, patient volume, practice setting, or clinic type. Most providers reviewed CGM data each visit (97.7%) and actively involved patients in the data interpretation (98.8%). Only 14.1% of clinicians reported reviewing CGM data without any prompting from patients or their family members outside of visits. Most providers (80.7%) reported their CGM data review was valued by patients although only half reported having adequate time (45.1%) or an efficient process (56.1%) to do so. CONCLUSIONS Despite uniform support for CGM by providers, ongoing challenges related to cost, insurance coverage, and difficulties with prescription were major barriers to CGM use. Increased use of CGM in appropriate populations will necessitate improvements in data access and integration, clearly defined workflows, and decreased administrative burden to obtain CGM.
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Affiliation(s)
- Tejaswi Kompala
- Division of Endocrinology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Jenise Wong
- Division of Endocrinology, Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA
| | - Aaron Neinstein
- Division of Endocrinology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Center for Digital Health Innovation, University of California, San Francisco, San Francisco, CA, USA
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Lee MY, Gloyn AL, Maahs DM, Prahalad P. Management of Neonatal Diabetes due to a KCNJ11 Mutation with Automated Insulin Delivery System and Remote Patient Monitoring. Case Rep Endocrinol 2023; 2023:8825724. [PMID: 37664823 PMCID: PMC10468271 DOI: 10.1155/2023/8825724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 07/25/2023] [Accepted: 08/16/2023] [Indexed: 09/05/2023] Open
Abstract
Neonatal diabetes mellitus (NDM) is a monogenic form of diabetes. Management of hyperglycemia in neonates with subcutaneous insulin is challenging because of frequent feeding, variable quantity of milk intake with each feed, low insulin dose requirements, and high risk for hypoglycemia and associated complications in this population. We present a case of NDM in a proband initially presenting with focal seizures and diabetic ketoacidosis due to a pathologic mutation in the beta cell potassium ATP channel gene KCNJ11 c.679G > A (p.E227K). We describe the use of continuous glucose monitoring (CGM), insulin pump, automated insulin delivery system, and remote patient monitoring technologies to facilitate rapid and safe outpatient cross-titration from insulin to oral sulfonylurea. Our case highlights the safety and efficacy of these technologies for infants with diabetes, including improvements in glycemia, quality of life, and cost-effectiveness by shortening hospital stay.
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Affiliation(s)
- Ming Yeh Lee
- Division of Pediatric Endocrinology, Stanford University School of Medicine, Stanford, CA, USA
| | - Anna L. Gloyn
- Division of Pediatric Endocrinology, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford University School of Medicine, Stanford, CA, USA
| | - David M. Maahs
- Division of Pediatric Endocrinology, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford University School of Medicine, Stanford, CA, USA
| | - Priya Prahalad
- Division of Pediatric Endocrinology, Stanford University School of Medicine, Stanford, CA, USA
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Bunning BJ, Hedlin H, Chen JH, Ciolino JD, Ferstad JO, Fox E, Garcia A, Go A, Johari R, Lee J, Maahs DM, Mahaffey KW, Opsahl-Ong K, Perez M, Rochford K, Scheinker D, Spratt H, Turakhia MP, Desai M. The evolving role of data & safety monitoring boards for real-world clinical trials. J Clin Transl Sci 2023; 7:e179. [PMID: 37745930 PMCID: PMC10514684 DOI: 10.1017/cts.2023.582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 06/20/2023] [Accepted: 06/24/2023] [Indexed: 09/26/2023] Open
Abstract
Introduction Clinical trials provide the "gold standard" evidence for advancing the practice of medicine, even as they evolve to integrate real-world data sources. Modern clinical trials are increasingly incorporating real-world data sources - data not intended for research and often collected in free-living contexts. We refer to trials that incorporate real-world data sources as real-world trials. Such trials may have the potential to enhance the generalizability of findings, facilitate pragmatic study designs, and evaluate real-world effectiveness. However, key differences in the design, conduct, and implementation of real-world vs traditional trials have ramifications in data management that can threaten their desired rigor. Methods Three examples of real-world trials that leverage different types of data sources - wearables, medical devices, and electronic health records are described. Key insights applicable to all three trials in their relationship to Data and Safety Monitoring Boards (DSMBs) are derived. Results Insight and recommendations are given on four topic areas: A. Charge of the DSMB; B. Composition of the DSMB; C. Pre-launch Activities; and D. Post-launch Activities. We recommend stronger and additional focus on data integrity. Conclusions Clinical trials can benefit from incorporating real-world data sources, potentially increasing the generalizability of findings and overall trial scale and efficiency. The data, however, present a level of informatic complexity that relies heavily on a robust data science infrastructure. The nature of monitoring the data and safety must evolve to adapt to new trial scenarios to protect the rigor of clinical trials.
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Affiliation(s)
- Bryan J. Bunning
- Quantitative Sciences Unit, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Haley Hedlin
- Quantitative Sciences Unit, Stanford University, Stanford, CA, USA
| | - Jonathan H. Chen
- Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA
| | - Jody D. Ciolino
- Department of Preventative Medicine – Biostatistics, Northwestern University, Chicago, IL, USA
| | | | - Emily Fox
- Department of Statistics, Stanford University, Stanford, CA, USA
- Kaiser Permanente Northern California Division of Research, Kaiser Permanente, Oakland, CA, USA
| | - Ariadna Garcia
- Quantitative Sciences Unit, Stanford University, Stanford, CA, USA
| | - Alan Go
- Department of Computer Science, Stanford University, Stanford, CA, USA
| | - Ramesh Johari
- Department of Management Science and Engineering, Stanford University, Stanford, CA, USA
| | - Justin Lee
- Quantitative Sciences Unit, Stanford University, Stanford, CA, USA
| | - David M. Maahs
- Department of Pediatrics, Stanford Medicine Children’s Hospital, Stanford, CA, USA
| | - Kenneth W. Mahaffey
- Stanford Center for Clinical Research, Stanford University, Stanford, CA, USA
| | - Krista Opsahl-Ong
- Department of Pediatrics, Stanford Medicine Children’s Hospital, Stanford, CA, USA
| | - Marco Perez
- Department of Medicine, Cardiovascular Medicine, Stanford Medicine, Stanford, CA, USA
| | - Kaylin Rochford
- Department of Management Science and Engineering, Stanford University, Stanford, CA, USA
| | - David Scheinker
- Systems Design and Collaborative Research, Stanford Medicine Children’s Hospital, Stanford, CA, USA
| | - Heidi Spratt
- Department of Preventative Medicine & Community Health, University of Texas Medical Branch, Galveston, TX, USA
| | - Mintu P. Turakhia
- Stanford Center for Clinical Research, Stanford University, Stanford, CA, USA
| | - Manisha Desai
- Quantitative Sciences Unit, Stanford University, Stanford, CA, USA
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Sandblom L, Kapadia C, Vaidya V, Chambers M, Gonsalves R, Holzmeister LA, Hoekstra F, Goldman S. Electronic Dashboard to Improve Outcomes in Pediatric Patients With Type 1 Diabetes Mellitus. J Diabetes Sci Technol 2023:19322968231159401. [PMID: 37026186 DOI: 10.1177/19322968231159401] [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] [Indexed: 04/08/2023]
Abstract
BACKGROUND AND OBJECTIVES Incidence of type 1 diabetes mellitus (T1DM) is increasing, and these patients often have poor glycemic control. Electronic dashboards summating patient data have been shown to improve patient outcomes in other conditions. In addition, educating patients on T1DM has shown to improve glycated hemoglobin (A1C) levels. We hypothesized that using data from the electronic dashboard to monitor defined diabetes management activities to implement population-based interventions would improve patient outcomes. METHODS Inclusion criteria included patients aged 0 to 18 years at Phoenix Children's Hospital with T1DM. Patient data were collected via the electronic dashboard, and both diabetes management activities (A1C, patient admissions, and visits to the emergency department) and patient outcomes (patient education, appointment compliance, follow-up after hospital admission) were analyzed. RESULTS This study revealed that following implementation of the electronic dashboard, the percentage of patients receiving appropriate education increased from 48% to 80% (Z-score = 23.55, P < .0001), the percentage of patients attending the appropriate number of appointments increased from 50% to 68.2%, and the percentage of patients receiving follow-up care within 40 days after a hospital admission increased from 43% to 70%. The median A1C level decreased from 9.1% to 8.2% (Z-score = -6.74, P < .0001), and patient admissions and visits to the emergency department decreased by 20%. CONCLUSIONS This study shows, with the implementation of an electronic dashboard, we were able to improve outcomes for our pediatric patients with T1DM. This tool can be used at other institutions to improve care and outcomes for pediatric patients with T1DM and other chronic conditions.
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Affiliation(s)
- Lily Sandblom
- University of Arizona College of Medicine-Phoenix, Phoenix, AZ, USA
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Addala A, Ding V, Zaharieva DP, Bishop FK, Adams AS, King AC, Johari R, Scheinker D, Hood KK, Desai M, Maahs DM, Prahalad P. Disparities in Hemoglobin A1c Levels in the First Year After Diagnosis Among Youths With Type 1 Diabetes Offered Continuous Glucose Monitoring. JAMA Netw Open 2023; 6:e238881. [PMID: 37074715 PMCID: PMC10116368 DOI: 10.1001/jamanetworkopen.2023.8881] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 03/05/2023] [Indexed: 04/20/2023] Open
Abstract
Importance Continuous glucose monitoring (CGM) is associated with improvements in hemoglobin A1c (HbA1c) in youths with type 1 diabetes (T1D); however, youths from minoritized racial and ethnic groups and those with public insurance face greater barriers to CGM access. Early initiation of and access to CGM may reduce disparities in CGM uptake and improve diabetes outcomes. Objective To determine whether HbA1c decreases differed by ethnicity and insurance status among a cohort of youths newly diagnosed with T1D and provided CGM. Design, Setting, and Participants This cohort study used data from the Teamwork, Targets, Technology, and Tight Control (4T) study, a clinical research program that aims to initiate CGM within 1 month of T1D diagnosis. All youths with new-onset T1D diagnosed between July 25, 2018, and June 15, 2020, at Stanford Children's Hospital, a single-site, freestanding children's hospital in California, were approached to enroll in the Pilot-4T study and were followed for 12 months. Data analysis was performed and completed on June 3, 2022. Exposures All eligible participants were offered CGM within 1 month of diabetes diagnosis. Main Outcomes and Measures To assess HbA1c change over the study period, analyses were stratified by ethnicity (Hispanic vs non-Hispanic) or insurance status (public vs private) to compare the Pilot-4T cohort with a historical cohort of 272 youths diagnosed with T1D between June 1, 2014, and December 28, 2016. Results The Pilot-4T cohort comprised 135 youths, with a median age of 9.7 years (IQR, 6.8-12.7 years) at diagnosis. There were 71 boys (52.6%) and 64 girls (47.4%). Based on self-report, participants' race was categorized as Asian or Pacific Islander (19 [14.1%]), White (62 [45.9%]), or other race (39 [28.9%]); race was missing or not reported for 15 participants (11.1%). Participants also self-reported their ethnicity as Hispanic (29 [21.5%]) or non-Hispanic (92 [68.1%]). A total of 104 participants (77.0%) had private insurance and 31 (23.0%) had public insurance. Compared with the historical cohort, similar reductions in HbA1c at 6, 9, and 12 months postdiagnosis were observed for Hispanic individuals (estimated difference, -0.26% [95% CI, -1.05% to 0.43%], -0.60% [-1.46% to 0.21%], and -0.15% [-1.48% to 0.80%]) and non-Hispanic individuals (estimated difference, -0.27% [95% CI, -0.62% to 0.10%], -0.50% [-0.81% to -0.11%], and -0.47% [-0.91% to 0.06%]) in the Pilot-4T cohort. Similar reductions in HbA1c at 6, 9, and 12 months postdiagnosis were also observed for publicly insured individuals (estimated difference, -0.52% [95% CI, -1.22% to 0.15%], -0.38% [-1.26% to 0.33%], and -0.57% [-2.08% to 0.74%]) and privately insured individuals (estimated difference, -0.34% [95% CI, -0.67% to 0.03%], -0.57% [-0.85% to -0.26%], and -0.43% [-0.85% to 0.01%]) in the Pilot-4T cohort. Hispanic youths in the Pilot-4T cohort had higher HbA1c at 6, 9, and 12 months postdiagnosis than non-Hispanic youths (estimated difference, 0.28% [95% CI, -0.46% to 0.86%], 0.63% [0.02% to 1.20%], and 1.39% [0.37% to 1.96%]), as did publicly insured youths compared with privately insured youths (estimated difference, 0.39% [95% CI, -0.23% to 0.99%], 0.95% [0.28% to 1.45%], and 1.16% [-0.09% to 2.13%]). Conclusions and Relevance The findings of this cohort study suggest that CGM initiation soon after diagnosis is associated with similar improvements in HbA1c for Hispanic and non-Hispanic youths as well as for publicly and privately insured youths. These results further suggest that equitable access to CGM soon after T1D diagnosis may be a first step to improve HbA1c for all youths but is unlikely to eliminate disparities entirely. Trial Registration ClinicalTrials.gov Identifier: NCT04336969.
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Affiliation(s)
- Ananta Addala
- Division of Pediatric Endocrinology, Department of Pediatrics, Stanford University, Stanford, California
| | - Victoria Ding
- Division of Biomedical Informatics Research, Department of Medicine, Stanford University, Stanford, California
| | - Dessi P. Zaharieva
- Division of Pediatric Endocrinology, Department of Pediatrics, Stanford University, Stanford, California
| | - Franziska K. Bishop
- Division of Pediatric Endocrinology, Department of Pediatrics, Stanford University, Stanford, California
| | - Alyce S. Adams
- Division of Pediatric Endocrinology, Department of Pediatrics, Stanford University, Stanford, California
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California
- Department of Health Policy, Stanford University School of Medicine, Stanford, California
- Stanford Diabetes Research Center, Stanford University, Stanford, California
| | - Abby C. King
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California
- Stanford Prevention Research Center Division, Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Ramesh Johari
- Clinical Excellence Research Center, Stanford University, Stanford, California
| | - David Scheinker
- Division of Pediatric Endocrinology, Department of Pediatrics, Stanford University, Stanford, California
- Stanford Diabetes Research Center, Stanford University, Stanford, California
- Clinical Excellence Research Center, Stanford University, Stanford, California
- Department of Management Science and Engineering, Stanford University, Stanford, California
| | - Korey K. Hood
- Division of Pediatric Endocrinology, Department of Pediatrics, Stanford University, Stanford, California
- Stanford Diabetes Research Center, Stanford University, Stanford, California
| | - Manisha Desai
- Division of Biomedical Informatics Research, Department of Medicine, Stanford University, Stanford, California
| | - David M. Maahs
- Division of Pediatric Endocrinology, Department of Pediatrics, Stanford University, Stanford, California
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California
- Stanford Diabetes Research Center, Stanford University, Stanford, California
| | - Priya Prahalad
- Division of Pediatric Endocrinology, Department of Pediatrics, Stanford University, Stanford, California
- Stanford Diabetes Research Center, Stanford University, Stanford, California
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11
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Litmanovitch E, Geva R, Leshem A, Lezinger M, Heyman E, Gidron M, Yarmolovsky J, Sasson E, Tal S, Rachmiel M. Missed meal boluses and poorer glycemic control impact on neurocognitive function may be associated with white matter integrity in adolescents with type 1 diabetes. Front Endocrinol (Lausanne) 2023; 14:1141085. [PMID: 37091855 PMCID: PMC10113499 DOI: 10.3389/fendo.2023.1141085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 03/13/2023] [Indexed: 04/25/2023] Open
Abstract
Background The notion that pediatric type 1 diabetes impacts brain function and structure early in life is of great concern. Neurological manifestations, including neurocognitive and behavioral symptoms, may be present from childhood, initially mild and undetectable in daily life. Despite intensive management and technological therapeutic interventions, most pediatric patients do not achieve glycemic control targets for HbA1c. One of the most common causes of such poor control and frequent transient hyperglycemic episodes may be lifestyle factors, including missed meal boluses. Objective The aim of this study was to assess the association between specific neurocognitive accomplishments-learning and memory, inhibition ability learning, and verbal and semantic memory-during meals with and without bolusing, correlated to diffusion tensor imaging measurements of major related tracts, and glycemic control in adolescents with type 1 diabetes compared with their healthy siblings of similar age. Study design and methods This is a case-control study of 12- to 18-year-old patients with type 1 diabetes (N = 17, 8 male patients, diabetes duration of 6.53 ± 4.1 years) and their healthy siblings (N = 13). All were hospitalized for 30 h for continuous glucose monitoring and repeated neurocognitive tests as a function of a missed or appropriate pre-meal bolus. This situation was mimicked by controlled, patient blinded manipulation of lunch pre-meal bolus administration to enable capillary glucose level of <180 mg/dl and to >240 mg/d 2 hours after similar meals, at a similar time. The diabetes team randomly and blindly manipulated post-lunch glucose levels by subcutaneous injection of either rapid-acting insulin or 0.9% NaCl solution before lunch. A specific neurocognitive test battery was performed twice, after each manipulation, and its results were compared, along with additional neurocognitive tasks administered during hospitalization without insulin manipulation. Participants underwent brain imaging, including diffusion tensor imaging and tractography. Results A significant association was demonstrated between glycemic control and performance in the domains of executive functions, inhibition ability, learning and verbal memory, and semantic memory. Inhibition ability was specifically related to food management. Poorer glycemic control (>8.3%) was associated with a slower reaction time. Conclusion These findings highlight the potential impairment of brain networks responsible for learning, memory, and controlled reactivity to food in adolescents with type 1 diabetes whose glycemic control is poor.
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Affiliation(s)
- Edna Litmanovitch
- The Gonda Multidisciplinary Brain Research Center, Bar Ilan University, Ramat Gan, Israel
| | - Ronny Geva
- The Gonda Multidisciplinary Brain Research Center, Bar Ilan University, Ramat Gan, Israel
- Department of Psychology, The Developmental Neuropsychology Lab, Bar Ilan University, Ramat Gan, Israel
| | - Avital Leshem
- Pediatric Endocrinology and Diabetes Institute, Shamir (Assaf Harofeh) Medical Center, Be'er Ya'akov, Israel
| | - Mirit Lezinger
- Pediatric Neurology and Epilepsy Department, Shamir (Assaf Harofeh) Medical Center, Be’er Ya’akov, Israel
| | - Eli Heyman
- Pediatric Neurology and Epilepsy Department, Shamir (Assaf Harofeh) Medical Center, Be’er Ya’akov, Israel
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Maor Gidron
- Department of Psychology, The Developmental Neuropsychology Lab, Bar Ilan University, Ramat Gan, Israel
| | - Jessica Yarmolovsky
- Department of Psychology, The Developmental Neuropsychology Lab, Bar Ilan University, Ramat Gan, Israel
| | - Efrat Sasson
- Radiology Department, Shamir (Assaf Harofeh) Medical Center, Be'er Ya'akov, Israel
| | - Sigal Tal
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
- Radiology Department, Shamir (Assaf Harofeh) Medical Center, Be'er Ya'akov, Israel
| | - Marianna Rachmiel
- Pediatric Endocrinology and Diabetes Institute, Shamir (Assaf Harofeh) Medical Center, Be'er Ya'akov, Israel
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
- *Correspondence: Marianna Rachmiel,
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12
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Moverley JA, Novak L, Shubrook JH. Conquering diabetes therapeutic inertia: practical tips for primary care. J Osteopath Med 2023; 123:113-120. [PMID: 36121937 DOI: 10.1515/jom-2022-0058] [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: 03/18/2022] [Accepted: 08/23/2022] [Indexed: 01/27/2023]
Abstract
Diabetes is a complex condition that is largely self-managed. Decades of scientific evidence has proved that early glycemic control leads to improved microvascular and macrovascular outcomes in people with diabetes mellitus. Despite well-established management guidelines, only about half of the patients with diabetes achieve glycemic targets, and only one in five patients achieve metabolic control (blood pressure, lipid, and glucose targets), and both patients and physicians find themselves stuck in a rut called therapeutic inertia (TI). The authors present several practical strategies that can be tailored to different practice settings and facilitate reducing TI.
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Affiliation(s)
- Joy A Moverley
- Joint MSPAS/MPH Program, Touro University California, Vallejo, CA, USA
| | - Lucia Novak
- Diabetes Consulting Services, North Bethesda, MD, USA
| | - Jay H Shubrook
- College of Osteopathic Medicine, Touro University California, Vallejo, CA, USA
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13
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Sundberg F, deBeaufort C, Krogvold L, Patton S, Piloya T, Smart C, Van Name M, Weissberg-Benchell J, Silva J, diMeglio LA. ISPAD Clinical Practice Consensus Guidelines 2022: Managing diabetes in preschoolers. Pediatr Diabetes 2022; 23:1496-1511. [PMID: 36537520 PMCID: PMC10108244 DOI: 10.1111/pedi.13427] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 09/30/2022] [Indexed: 12/24/2022] Open
Affiliation(s)
- Frida Sundberg
- The Queen Silvia Childrens Hospital, Sahlgrenska University Hospital, Gothenburg, Sweden.,Department of Pediatrics, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden
| | - Carine deBeaufort
- Clinique Pédiatrique, Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg.,Department of Pediatric Endocrinology, Universitair Ziekenhuis Brussel-Vrije Universiteit Brussel, Brussels, Belgium
| | - Lars Krogvold
- Paediatric Department, Oslo University Hospital, Oslo, Norway
| | - Susana Patton
- Center for Healthcare Delivery Science, Nemours Children's Health, Jacksonville, Florida, USA
| | - Thereza Piloya
- Department of Paediatrics & Child Health, School of Medicine, College of Health Sciences Makerere University, Kampala, Uganda
| | - Carmel Smart
- Department of Paediatric Endocrinology and Diabetes, John Hunter Children's Hospital and School of Health Sciences, University of Newcastle, Newcastle, New South Wales, Australia
| | | | - Jill Weissberg-Benchell
- Department of Psychiatry and Behavioral Sciences, Ann & Robert H. Lurie Children's Hospital of Chicago, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Jose Silva
- SummitStone Health Partners, Fort Collins, Colorado, USA
| | - Linda A diMeglio
- Riley Hospital for Children, Indiana University School of Medicine, Indianapolis, Indiana, USA
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14
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Dupenloup P, Pei RL, Chang A, Gao MZ, Prahalad P, Johari R, Schulman K, Addala A, Zaharieva DP, Maahs DM, Scheinker D. A model to design financially sustainable algorithm-enabled remote patient monitoring for pediatric type 1 diabetes care. Front Endocrinol (Lausanne) 2022; 13:1021982. [PMID: 36440201 PMCID: PMC9691757 DOI: 10.3389/fendo.2022.1021982] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 10/21/2022] [Indexed: 11/13/2022] Open
Abstract
Introduction Population-level algorithm-enabled remote patient monitoring (RPM) based on continuous glucose monitor (CGM) data review has been shown to improve clinical outcomes in diabetes patients, especially children. However, existing reimbursement models are geared towards the direct provision of clinic care, not population health management. We developed a financial model to assist pediatric type 1 diabetes (T1D) clinics design financially sustainable RPM programs based on algorithm-enabled review of CGM data. Methods Data were gathered from a weekly RPM program for 302 pediatric patients with T1D at Lucile Packard Children's Hospital. We created a customizable financial model to calculate the yearly marginal costs and revenues of providing diabetes education. We consider a baseline or status quo scenario and compare it to two different care delivery scenarios, in which routine appointments are supplemented with algorithm-enabled, flexible, message-based contacts delivered according to patient need. We use the model to estimate the minimum reimbursement rate needed for telemedicine contacts to maintain revenue-neutrality and not suffer an adverse impact to the bottom line. Results The financial model estimates that in both scenarios, an average reimbursement rate of roughly $10.00 USD per telehealth interaction would be sufficient to maintain revenue-neutrality. Algorithm-enabled RPM could potentially be billed for using existing RPM CPT codes and lead to margin expansion. Conclusion We designed a model which evaluates the financial impact of adopting algorithm-enabled RPM in a pediatric endocrinology clinic serving T1D patients. This model establishes a clear threshold reimbursement value for maintaining revenue-neutrality, as well as an estimate of potential RPM reimbursement revenue which could be billed for. It may serve as a useful financial-planning tool for a pediatric T1D clinic seeking to leverage algorithm-enabled RPM to provide flexible, more timely interventions to its patients.
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Affiliation(s)
- Paul Dupenloup
- Department of Management Science and Engineering, Stanford University, Stanford, CA, United States
| | - Ryan Leonard Pei
- Department of Management Science and Engineering, Stanford University, Stanford, CA, United States
| | - Annie Chang
- Department of Management Science and Engineering, Stanford University, Stanford, CA, United States
| | - Michael Z. Gao
- Department of Management Science and Engineering, Stanford University, Stanford, CA, United States
| | - Priya Prahalad
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, United States
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, United States
| | - Ramesh Johari
- Department of Management Science and Engineering, Stanford University, Stanford, CA, United States
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, United States
| | - Kevin Schulman
- Clinical Excellence Research Center, Stanford University, Stanford, CA, United States
- Graduate School of Business, Stanford University, Stanford, CA, United States
| | - Ananta Addala
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, United States
| | - Dessi P. Zaharieva
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, United States
| | - David M. Maahs
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, United States
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, United States
| | - David Scheinker
- Department of Management Science and Engineering, Stanford University, Stanford, CA, United States
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, United States
- Clinical Excellence Research Center, Stanford University, Stanford, CA, United States
- Department of Medicine, Division of Biomedical Informatics Research, Stanford University, Stanford, CA, United States
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15
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Tanenbaum ML, Zaharieva DP, Addala A, Prahalad P, Hooper JA, Leverenz B, Cortes AL, Arrizon-Ruiz N, Pang E, Bishop F, Maahs DM. 'Much more convenient, just as effective': Experiences of starting continuous glucose monitoring remotely following Type 1 diabetes diagnosis. Diabet Med 2022; 39:e14923. [PMID: 35899591 PMCID: PMC9579993 DOI: 10.1111/dme.14923] [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] [Received: 05/02/2022] [Accepted: 07/20/2022] [Indexed: 11/29/2022]
Abstract
AIM Initiating continuous glucose monitoring (CGM) shortly after Type 1 diabetes diagnosis has glycaemic and quality of life benefits for youth with Type 1 diabetes and their families. The SARS-CoV-2 pandemic led to a rapid shift to virtual delivery of CGM initiation visits. We aimed to understand parents' experiences receiving virtual care to initiate CGM within 30 days of diagnosis. METHODS We held focus groups and interviews using a semi-structured interview guide with parents of youth who initiated CGM over telehealth within 30 days of diagnosis during the SARS-CoV-2 pandemic. Questions aimed to explore experiences of starting CGM virtually. Groups and interviews were audio-recorded, transcribed and analysed using thematic analysis. RESULTS Participants were 16 English-speaking parents (age 43 ± 6 years; 63% female) of 15 youth (age 9 ± 4 years; 47% female; 47% non-Hispanic White, 20% Hispanic, 13% Asian, 7% Black, 13% other). They described multiple benefits of the virtual visit including convenient access to high-quality care; integrating Type 1 diabetes care into daily life; and being in the comfort of home. A minority experienced challenges with virtual care delivery; most preferred the virtual format. Participants expressed that clinics should offer a choice of virtual or in-person to families initiating CGM in the future. CONCLUSION Most parents appreciated receiving CGM initiation education via telehealth and felt it should be an option offered to all families. Further efforts can continue to enhance CGM initiation teaching virtually to address identified barriers.
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Affiliation(s)
- Molly L Tanenbaum
- Division of Endocrinology, Gerontology, and Metabolism, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
- Stanford Diabetes Research Center, Stanford, California, USA
| | - Dessi P Zaharieva
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Ananta Addala
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Priya Prahalad
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Julie A Hooper
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Brianna Leverenz
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Ana L Cortes
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Nora Arrizon-Ruiz
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Erica Pang
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Franziska Bishop
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - David M Maahs
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
- Stanford Diabetes Research Center, Stanford, California, USA
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16
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Zaharieva DP, Addala A, Prahalad P, Leverenz B, Arrizon-Ruiz N, Ding VY, Desai M, Karger AB, Maahs DM. An Evaluation of Point-of-Care HbA1c, HbA1c Home Kits, and Glucose Management Indicator: Potential Solutions for Telehealth Glycemic Assessments. DIABETOLOGY 2022; 3:494-501. [PMID: 37163187 PMCID: PMC10166120 DOI: 10.3390/diabetology3030037] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
During the COVID-19 pandemic, fewer in-person clinic visits resulted in fewer point-of-care (POC) HbA1c measurements. In this sub-study, we assessed the performance of alternative glycemic measures that can be obtained remotely, such as HbA1c home kits and Glucose Management Indicator (GMI) values from Dexcom Clarity. Home kit HbA1c (n = 99), GMI, (n = 88), and POC HbA1c (n = 32) were collected from youth with T1D (age 9.7 ± 4.6 years). Bland-Altman analyses and Lin's concordance correlation coefficient (ρc) were used to characterize the agreement between paired HbA1c measures. Both the HbA1c home kit and GMI showed a slight positive bias (mean difference 0.18% and 0.34%, respectively) and strong concordance with POC HbA1c (ρc = 0.982 [0.965, 0.991] and 0.823 [0.686, 0.904], respectively). GMI showed a slight positive bias (mean difference 0.28%) and fair concordance (ρc = 0.750 [0.658, 0.820]) to the HbA1c home kit. In conclusion, the strong concordance of GMI and home kits to POC A1c measures suggest their utility in telehealth visits assessments. Although these are not candidates for replacement, these measures can facilitate telehealth visits, particularly in the context of other POC HbA1c measurements from an individual.
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Affiliation(s)
- Dessi P. Zaharieva
- Division of Endocrinology, Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA 94304, USA
- Correspondence: ; Tel.: +1-(628)-238-9420; Fax: +1-(650)-475-8375
| | - Ananta Addala
- Division of Endocrinology, Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA 94304, USA
| | - Priya Prahalad
- Division of Endocrinology, Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA 94304, USA
- Stanford Diabetes Research Center, Stanford, CA 94304, USA
| | - Brianna Leverenz
- Division of Endocrinology, Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA 94304, USA
| | - Nora Arrizon-Ruiz
- Division of Endocrinology, Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA 94304, USA
| | - Victoria Y. Ding
- Quantitative Sciences Unit, Division of Biomedical Informatics Research, Stanford University, Stanford, CA 94305, USA
| | - Manisha Desai
- Quantitative Sciences Unit, Division of Biomedical Informatics Research, Stanford University, Stanford, CA 94305, USA
| | - Amy B. Karger
- Department of Laboratory Medicine and Pathology, School of Medicine, University of Minnesota, Minneapolis, MN 55455, USA
| | - David M. Maahs
- Division of Endocrinology, Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA 94304, USA
- Stanford Diabetes Research Center, Stanford, CA 94304, USA
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17
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MacGregor KL, DeMartini KS, Barry-Menkhaus SA, Derr AG, Thompson MJ. The Impact of Integrated Behavioral Healthcare on Glycemic Control. J Clin Psychol Med Settings 2022; 29:636-644. [PMID: 34436717 DOI: 10.1007/s10880-021-09817-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/20/2021] [Indexed: 10/20/2022]
Abstract
Integrated behavioral healthcare (IBH) is the "standard of care" to address psychosocial factors impacting diabetes outcomes; it is not standard in practice. This longitudinal, retrospective, chart-review examines IBH impact on glycemic control in an adult diabetes clinic. Adults (n = 374) with ≥ 1 behavioral health encounter, ≥ 2 hemoglobin A1c (HbA1c) values, and HbA1c value > 8% at initial IBH visit were included. Mixed effects linear piecewise models examined differences in slope trajectories for 365 days pre- and post-IBH intervention. Pre-intervention slope was not significant (z = - 1.09, p = 0.28). The post-intervention slope was significant (z = - 6.44, p < 0.001), indicating a significant linear decrease in HbA1c values. Results demonstrated that prior to engaging with behavioral health, there was no change in HbA1c. After initial IBH visit, there was a predicted reduction of > 1% in HbA1c over the following year. These results suggest that IBH significantly improves patients' metabolic status. Next steps for IBH research are offered.
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Affiliation(s)
- Kristin L MacGregor
- Department of Psychiatry/Diabetes Center of Excellence, UMass Memorial Medical Center/UMass Medical School, Worcester, MA, 01655, USA.
| | - Kelly S DeMartini
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06510, USA
| | | | - Alan G Derr
- Diabetes Center of Excellence, UMass Medical School, Worcester, MA, 01655, USA
| | - Michael J Thompson
- Diabetes Center of Excellence, UMass Medical School, Worcester, MA, 01655, USA
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18
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Advancements and future directions in the teamwork, targets, technology, and tight control-the 4T study: improving clinical outcomes in newly diagnosed pediatric type 1 diabetes. Curr Opin Pediatr 2022; 34:423-429. [PMID: 35836400 PMCID: PMC9298953 DOI: 10.1097/mop.0000000000001140] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
PURPOSE OF REVIEW The benefits of intensive diabetes management have been established by the Diabetes Control and Complications Trial. However, challenges with optimizing glycemic management in youth with type 1 diabetes (T1D) remain across pediatric clinics in the United States. This article will review our Teamwork, Targets, Technology, and Tight Control (4T) study that implements emerging diabetes technology into clinical practice with a team approach to sustain tight glycemic control from the onset of T1D and beyond to optimize clinical outcomes. RECENT FINDINGS During the 4T Pilot study and study 1, our team-based approach to intensive target setting, education, and remote data review has led to significant improvements in hemoglobin A1c throughout the first year of T1D diagnosis in youth, as well as family and provider satisfaction. SUMMARY The next steps include refinement of the current 4T study 1, developing a business case, and broader implementation of the 4T study. In study 2, we are including a more pragmatic cadence of remote data review and disseminating exercise education and activity tracking to both English- and Spanish-speaking families. The overall goal is to create and implement a translatable program that can facilitate better outcomes for pediatric clinics across the USA.
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Patton SR, Maahs D, Prahalad P, Clements MA. Psychosocial Needs for Newly Diagnosed Youth with Type 1 Diabetes and Their Families. Curr Diab Rep 2022; 22:385-392. [PMID: 35727439 PMCID: PMC9211050 DOI: 10.1007/s11892-022-01479-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/07/2022] [Indexed: 11/23/2022]
Abstract
PURPOSE OF REVIEW To synthesize findings from studies published within the last 5 to 10 years and recruiting families of children with new-onset type 1 diabetes (T1D). RECENT FINDINGS Children can establish glycated hemoglobin (HbA1c) trajectories in the new-onset period that may persist for up to a decade. Demographic factors, family conflict, and diabetic ketoacidosis at the time of diagnosis may be risk factors for sub-optimal child HbA1c, while new immune modulating therapies and a treatment approach that combines advanced technologies and remote patient monitoring may improve child HbA1c. Nonetheless, recent trials in the new-onset period have largely overlooked how treatments may impact families' psychosocial functioning and longitudinal observational studies have been limited. The new-onset period of T1D is an important time for research and clinical intervention, though gaps exist specific to families' psychosocial needs. Filling these gaps is essential to inform clinical management and standard of care guidelines and improve outcomes.
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Affiliation(s)
- Susana R. Patton
- grid.472715.20000 0000 9331 5327Center for Healthcare Delivery Science, Nemours Children’s Health, 807 Children’s Way, Jacksonville, FL 32207 USA
| | - David Maahs
- grid.168010.e0000000419368956Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA 94304 USA
- grid.168010.e0000000419368956Stanford Diabetes Research Center, Stanford University, Stanford, CA 94304 USA
- grid.168010.e0000000419368956Department of Health Research and Policy (Epidemiology), Stanford University, Stanford, CA 94304 USA
| | - Priya Prahalad
- grid.168010.e0000000419368956Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA 94304 USA
- grid.168010.e0000000419368956Stanford Diabetes Research Center, Stanford University, Stanford, CA 94304 USA
| | - Mark A. Clements
- grid.239559.10000 0004 0415 5050Department of Pediatrics, Division of Endocrinology and Diabetes, Children’s Mercy Kansas City, 2401 Gilham Road, Kansas City, MO 64108 USA
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20
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Rose S, Styles SE, Wiltshire EJ, Stanley J, Galland BC, de Bock MI, Tomlinson PA, Rayns JA, MacKenzie KE, Wheeler BJ. Use of intermittently scanned continuous glucose monitoring in young people with high-risk type 1 diabetes-Extension phase outcomes following a 6-month randomized control trial. Diabet Med 2022; 39:e14756. [PMID: 34862661 DOI: 10.1111/dme.14756] [Citation(s) in RCA: 4] [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: 09/22/2021] [Accepted: 12/02/2021] [Indexed: 11/29/2022]
Abstract
AIMS To describe the impact of a 12-month intervention using intermittently scanned continuous glucose monitoring (isCGM) on glycaemic control and glucose test frequency in adolescents and young adults with type 1 diabetes (T1D) and high-risk glycaemic control (HbA1c ≥75 mmol/mol [≥9.0%]). METHODS In total, 64 young people (aged 13-20 years, 16.6 ± 2.1 years; 48% female; 41% Māori or Pacific ethnicity; mean diabetes duration 7.5 ± 3.8 years) with T1D were enrolled in a 6-month, randomized, parallel-group study comparing glycaemic outcomes from the isCGM intervention (n = 33) to self monitoring blood glucose (SMBG) controls (n = 31). In this 6-month extension phase, both groups received isCGM; HbA1c , glucose time-in-range (TIR), and combined glucose test frequency were assessed at 9 and 12 months. RESULTS At 12 months, the mean difference in HbA1c from baseline was -4 mmol/mol [-0.4%] (95% confidence interval, CI: -8, 1 mmol/mol [-0.8, 0.1%]; p = 0.14) in the isCGM intervention group, and -7 mmol/mol [-0.7%] (95% CI: -16, 1 mmol/mol [-1.5, 0.1%]; p = 0.08) in the SMBG control group. No participants achieved ≥70% glucose TIR (3.9-10.0 mmol/L). The isCGM intervention group mean rate of daily glucose testing was highest at 9 months, 2.4 times baseline rates (p < 0.001), then returned to baseline by 12 months (incidence rate ratio = 1.4; 95% CI: 0.9, 2.1; p = 0.091). CONCLUSIONS The use of isCGM in young people with high-risk T1D resulted in transient improvements in HbA1c and glucose monitoring over a 9-month time frame; however, benefits were not sustained to 12 months.
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Affiliation(s)
- Shelley Rose
- Department of Women's and Children's Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
- Department of Paediatrics and Child Health, University of Otago Wellington, Wellington, New Zealand
| | - Sara E Styles
- Department of Human Nutrition, University of Otago, Dunedin, New Zealand
| | - Esko J Wiltshire
- Department of Paediatrics and Child Health, University of Otago Wellington, Wellington, New Zealand
- Paediatric Department, Capital and Coast District Health Board, Wellington, New Zealand
| | - James Stanley
- Biostatistical Group, Dean's Department, University of Otago Wellington, Wellington, New Zealand
| | - Barbara C Galland
- Department of Women's and Children's Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Martin I de Bock
- Department of Paediatrics, University of Otago, Christchurch, New Zealand
- Paediatric Department, Canterbury District Health Board, Christchurch, New Zealand
| | - Paul A Tomlinson
- Paediatric Department, Southern District Health Board, Invercargill, New Zealand
| | - Jenny A Rayns
- Endocrinology Department, Southern District Health Board, Dunedin, New Zealand
| | - Karen E MacKenzie
- Department of Paediatrics, University of Otago, Christchurch, New Zealand
- Paediatric Department, Canterbury District Health Board, Christchurch, New Zealand
| | - Benjamin J Wheeler
- Department of Women's and Children's Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
- Paediatric Department, Southern District Health Board, Dunedin, New Zealand
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21
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Scheinker D, Prahalad P, Johari R, Maahs DM, Majzun R. A New Technology-Enabled Care Model for Pediatric Type 1 Diabetes. NEJM CATALYST INNOVATIONS IN CARE DELIVERY 2022; 3:10.1056/CAT.21.0438. [PMID: 36544715 PMCID: PMC9767424 DOI: 10.1056/cat.21.0438] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
In July 2018, pediatric type 1 diabetes (T1D) care at Stanford suffered many of the problems that plague U.S. health care. Patient outcomes lagged behind those of peer European nations, care was delivered primarily on a fixed cadence rather than as needed, continuous glucose monitors (CGMs) were largely unavailable for individuals with public insurance, and providers' primary access to CGM data was through long printouts. Stanford developed a new technology-enabled, telemedicine-based care model for patients with newly diagnosed T1D. They developed and deployed Timely Interventions for Diabetes Excellence (TIDE) to facilitate as-needed patient contact with the partially automated analysis of CGM data and used philanthropic funding to facilitate full access to CGM technology for publicly insured patients, for whom CGM is not readily available in California. A study of the use of CGM for patients with new-onset T1D (pilot Teamwork, Targets, and Technology for Tight Control [4T] study), which incorporated the use of TIDE, was associated with a 0.5%-point reduction in hemoglobin A1c compared with historical controls and an 86% reduction in screen time for providers reviewing patient data. Based on this initial success, Stanford expanded the use of TIDE to a total of 300 patients, including many outside the pilot 4T study, and made TIDE freely available as open-source software. Next steps include expanding the use of TIDE to support the care of approximately 1,000 patients, improving TIDE and the associated workflows to scale their use to more patients, incorporating data from additional sensors, and partnering with other institutions to facilitate their deployment of this care model.
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Affiliation(s)
- David Scheinker
- Associate Professor, Pediatrics, Stanford University, Stanford, California, USA,Executive Director, Lucile Packard Children’s Hospital Stanford, Palo Alto, California, USA,Faculty, Clinical Excellence Research Center, Stanford University, California, USA
| | - Priya Prahalad
- Associate Professor, Pediatrics, Stanford University, Stanford, California, USA
| | - Ramesh Johari
- Professor, Management Science and Engineering, Stanford University, Stanford, California, USA
| | - David M. Maahs
- Professor, Pediatrics, Stanford University, Stanford, California, USA
| | - Rick Majzun
- Chief Operating Officer, Lucile Packard Children’s Hospital Stanford, Palo Alto, California, USA
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22
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Prahalad P, Ding VY, Zaharieva DP, Addala A, Johari R, Scheinker D, Desai M, Hood K, Maahs DM. Teamwork, Targets, Technology, and Tight Control in Newly Diagnosed Type 1 Diabetes: the Pilot 4T Study. J Clin Endocrinol Metab 2022; 107:998-1008. [PMID: 34850024 PMCID: PMC8947228 DOI: 10.1210/clinem/dgab859] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Indexed: 11/19/2022]
Abstract
CONTEXT Youth with type 1 diabetes (T1D) do not meet glycated hemoglobin A1c (HbA1c) targets. OBJECTIVE This work aimed to assess HbA1c outcomes in children with new-onset T1D enrolled in the Teamwork, Targets, Technology and Tight Control (4T) Study. METHODS HbA1c levels were compared between the 4T and historical cohorts. HbA1c differences between cohorts were estimated using locally estimated scatter plot smoothing (LOESS). The change from nadir HbA1c (month 4) to 12 months post diagnosis was estimated by cohort using a piecewise mixed-effects regression model accounting for age at diagnosis, sex, ethnicity, and insurance type. We recruited 135 youth with newly diagnosed T1D at Stanford Children's Health. Starting July 2018, all youth within the first month of T1D diagnosis were offered continuous glucose monitoring (CGM) initiation and remote CGM data review was added in March 2019. The main outcomes measure was HbA1c. RESULTS HbA1c at 6, 9, and 12 months post diagnosis was lower in the 4T cohort than in the historic cohort (-0.54% to -0.52%, and -0.58%, respectively). Within the 4T cohort, HbA1c at 6, 9, and 12 months post diagnosis was lower in those patients with remote monitoring than those without (-0.14%, -0.18% to -0.14%, respectively). Multivariable regression analysis showed that the 4T cohort experienced a significantly lower increase in HbA1c between months 4 and 12 (P < .001). CONCLUSION A technology-enabled, team-based approach to intensified new-onset education involving target setting, CGM initiation, and remote data review statistically significantly decreased HbA1c in youth with T1D 12 months post diagnosis.
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Affiliation(s)
- Priya Prahalad
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, California 94304, USA
- Stanford Diabetes Research Center, Stanford University, Stanford, California 94304, USA
- Correspondence: Priya Prahalad, MD, PhD, Department of Pediatrics, Division of Pediatric Endocrinology, Center for Academic Medicine, 453 Quarry Rd, Palo Alto, CA 94304, USA.
| | - Victoria Y Ding
- Department of Medicine, Division of Biomedical Informatics Research, Stanford University, Stanford, California 94304, USA
| | - Dessi P Zaharieva
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, California 94304, USA
| | - Ananta Addala
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, California 94304, USA
| | - Ramesh Johari
- Stanford Diabetes Research Center, Stanford University, Stanford, California 94304, USA
- Department of Management Science and Engineering, Stanford University, Stanford, California 94304, USA
| | - David Scheinker
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, California 94304, USA
- Stanford Diabetes Research Center, Stanford University, Stanford, California 94304, USA
- Department of Management Science and Engineering, Stanford University, Stanford, California 94304, USA
- Clinical Excellence Research Center, Stanford University, Stanford, California 94304, USA
| | - Manisha Desai
- Department of Medicine, Division of Biomedical Informatics Research, Stanford University, Stanford, California 94304, USA
| | - Korey Hood
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, California 94304, USA
- Stanford Diabetes Research Center, Stanford University, Stanford, California 94304, USA
| | - David M Maahs
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, California 94304, USA
- Stanford Diabetes Research Center, Stanford University, Stanford, California 94304, USA
- Department of Health Research and Policy (Epidemiology) Stanford University, Stanford, California 94304, USA
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23
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Overcoming Barriers to Diabetes Technology in Youth with Type 1 Diabetes and Public Insurance: Cases and Call to Action. Case Rep Endocrinol 2022; 2022:9911736. [PMID: 35273814 PMCID: PMC8904094 DOI: 10.1155/2022/9911736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 02/03/2022] [Indexed: 11/21/2022] Open
Abstract
Advancements in diabetes technology such as continuous glucose monitoring (CGM), insulin pumps, and automated insulin delivery provide opportunities to improve glycemic control for youth with type 1 diabetes (T1D). However, diabetes technology use is lower in youth on public insurance, and this technology use gap is widening in the US. There is a significant need to develop effective interventions and policies to promote equitable care. The dual purpose of this case series is as follows: (1) describe success stories of the CGM Time in Range Program (CGM TIPs), which removed barriers for initiating CGM and provided asynchronous remote glucose monitoring for youth on public insurance, and (2) advocate for improving CGM coverage by public insurance. We describe a series of six youths with T1D and public insurance who obtained and sustained use of CGM with assistance from the program. Three youths had improved engagement with the care team while on CGM and the remote monitoring protocol, and three youths were able to leverage sustained CGM wear to obtain insurance coverage for automated insulin delivery systems. CGM TIPs helped these youths achieve lower hemoglobin A1c and improved time in range (TIR). Despite the successes, expansion of CGM TIPs is limited by stringent barriers for CGM approval and difficult postapproval patient workflows to receive shipments. These cases highlight the potential for combining diabetes technology and asynchronous remote monitoring to support continued use and provide education to improve glycemic control for youth with T1D on public insurance and the need to reduce barriers for obtaining CGM coverage by public insurance.
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24
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Zaharieva DP, Addala A. Current and Novel Strategies to Reduce Fear of Hypoglycemia as a Barrier to Physical Activity in Adults and Youth With Type 1 Diabetes. Can J Diabetes 2022; 46:1-2. [PMID: 35144756 DOI: 10.1016/j.jcjd.2021.12.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 12/20/2021] [Indexed: 11/24/2022]
Affiliation(s)
- Dessi P Zaharieva
- Department of Pediatrics, Division of Endocrinology, Stanford University School of Medicine, Stanford, California, United States.
| | - Ananta Addala
- Department of Pediatrics, Division of Endocrinology, Stanford University School of Medicine, Stanford, California, United States
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25
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Zaharieva DP, Senanayake R, Brown C, Watkins B, Loving G, Prahalad P, Ferstad JO, Guestrin C, Fox EB, Maahs DM, Scheinker D. Adding glycemic and physical activity metrics to a multimodal algorithm-enabled decision-support tool for type 1 diabetes care: Keys to implementation and opportunities. Front Endocrinol (Lausanne) 2022; 13:1096325. [PMID: 36714600 PMCID: PMC9877334 DOI: 10.3389/fendo.2022.1096325] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Accepted: 12/15/2022] [Indexed: 01/15/2023] Open
Abstract
Algorithm-enabled patient prioritization and remote patient monitoring (RPM) have been used to improve clinical workflows at Stanford and have been associated with improved glucose time-in-range in newly diagnosed youth with type 1 diabetes (T1D). This novel algorithm-enabled care model currently integrates continuous glucose monitoring (CGM) data to prioritize patients for weekly reviews by the clinical diabetes team. The use of additional data may help clinical teams make more informed decisions around T1D management. Regular exercise and physical activity are essential to increasing cardiovascular fitness, increasing insulin sensitivity, and improving overall well-being of youth and adults with T1D. However, exercise can lead to fluctuations in glycemia during and after the activity. Future iterations of the care model will integrate physical activity metrics (e.g., heart rate and step count) and physical activity flags to help identify patients whose needs are not fully captured by CGM data. Our aim is to help healthcare professionals improve patient care with a better integration of CGM and physical activity data. We hypothesize that incorporating exercise data into the current CGM-based care model will produce specific, clinically relevant information such as identifying whether patients are meeting exercise guidelines. This work provides an overview of the essential steps of integrating exercise data into an RPM program and the most promising opportunities for the use of these data.
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Affiliation(s)
- Dessi P. Zaharieva
- Division of Endocrinology, Department of Pediatrics, Stanford University, School of Medicine, Stanford, CA, United States
- *Correspondence: Dessi P. Zaharieva,
| | - Ransalu Senanayake
- Department of Computer Science, Stanford University, Stanford, CA, United States
| | - Conner Brown
- Stanford Children’s Health, Lucile Packard Children’s Hospital, Stanford, CA, United States
| | - Brendan Watkins
- Stanford Children’s Health, Lucile Packard Children’s Hospital, Stanford, CA, United States
| | - Glenn Loving
- Stanford Children’s Health, Lucile Packard Children’s Hospital, Stanford, CA, United States
| | - Priya Prahalad
- Division of Endocrinology, Department of Pediatrics, Stanford University, School of Medicine, Stanford, CA, United States
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, United States
| | - Johannes O. Ferstad
- Department of Management Science and Engineering, Stanford University School of Engineering, Stanford, CA, United States
| | - Carlos Guestrin
- Department of Computer Science, Stanford University, Stanford, CA, United States
| | - Emily B. Fox
- Department of Computer Science, Stanford University, Stanford, CA, United States
- Chan Zuckerberg Biohub, San Francisco, CA, United States
- Department of Statistics, Stanford University, Stanford, CA, United States
| | - David M. Maahs
- Division of Endocrinology, Department of Pediatrics, Stanford University, School of Medicine, Stanford, CA, United States
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, United States
- Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA, United States
| | - David Scheinker
- Division of Endocrinology, Department of Pediatrics, Stanford University, School of Medicine, Stanford, CA, United States
- Stanford Children’s Health, Lucile Packard Children’s Hospital, Stanford, CA, United States
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, United States
- Department of Management Science and Engineering, Stanford University School of Engineering, Stanford, CA, United States
- Clinical Excellence Research Center, Stanford University School of Medicine, Stanford, CA, United States
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26
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Divan V, Greenfield M, Morley CP, Weinstock RS. Perceived Burdens and Benefits Associated With Continuous Glucose Monitor Use in Type 1 Diabetes Across the Lifespan. J Diabetes Sci Technol 2022; 16:88-96. [PMID: 33356514 PMCID: PMC8875068 DOI: 10.1177/1932296820978769] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND Continuous glucose monitors (CGMs) help people with type 1 diabetes (T1D) improve their glycemic profiles but are underutilized. To better understand why, perceived CGM burdens and benefits in nonusers versus users with type 1 diabetes across the lifespan were assessed. METHODS Burdens (BurCGM) and benefits of CGM (BenCGM) questionnaires were completed during T1D outpatient visits (n = 1334) from February 2019 to February 2020. Mean scores were calculated (scale one to five; higher scores reflect greater perceived burdens/benefits). Data were collected from medical records including glycated hemoglobin (HbA1c) within 3 months of the visit. RESULTS Individuals of all ages using CGM described more benefits and less burdens (mean scores 4.48 and 1.69, respectively) when compared with those who were not using CGM (mean score 4.19 and 2.35, respectively) (P < .001). There were no differences in burdens or benefits by sex. Non-CGM users aged ≥50 years had higher mean BurCGM scores than those aged <50 years (P = .004); the cost was the greatest barrier in those aged 27+ years. Other burdens were readings not trusted, painful to wear, and takes too much time to use. For those aged 65+, nonusers versus users, 18.5% versus 3.1% agreed with "it was too hard to understand CGM information," and 21.4% versus 7.7% agreed that CGM causes too much worry. Mean HbA1C was lower in CGM users (8.1%) versus non-CGM users (mean A1c 9.1%; P < .001). CONCLUSIONS CGM was perceived as having more burdens and less benefits in nonusers, with differences in concerns varying across the lifespan. Lower costs and age-appropriate education are needed to address these barriers.
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Affiliation(s)
- Vidita Divan
- Department of Medicine, Upstate Medical University, Syracuse NY, USA
| | | | - Christopher P. Morley
- Public Health and Preventive Medicine, Upstate Medical University, Syracuse, NY, USA
| | - Ruth S. Weinstock
- Department of Medicine, Upstate Medical University, Syracuse NY, USA
- Ruth S. Weinstock, MD, PhD, Distinguished Service Professor, Upstate Medical University, 750 East Adams Street, CWB 353, Syracuse, NY 13210, USA.
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27
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Waizinger O, Shpigelman M, Shental R, Yunis B, Shimoni P, Od Cohen Y, Kagan I. Diabetes nurse practitioners in the shadow of the COVID-19 pandemic: Challenges, insights, and suggestions for improvement. J Nurs Scholarsh 2021; 54:453-461. [PMID: 34854227 DOI: 10.1111/jnu.12754] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 11/15/2021] [Accepted: 11/22/2021] [Indexed: 12/15/2022]
Abstract
PURPOSE The study examined the role of diabetes nurse practitioners (DiNPs) and their contribution to the quality of care of individuals with diabetes during the COVID-19 pandemic. Specifically, we examined the benefits and barriers of using telemedicine for managing diabetes. DESIGN A descriptive qualitative research using content analysis of interviews. METHODS Participants were invited through the National DiNPs' Forum. Semi-structured interviews were conducted with 24 licensed DiNPs (age range, 37-58 years) who were involved in the clinical care of individuals with diabetes during the COVID-19 pandemic. The interviews were recorded and transcribed, and content analysis was then used for extracting themes and their related categories. FINDINGS Content analysis revealed five themes: (a) Benefits and barriers of remote diabetes treatment; (b) Teamwork and its implications to DiNPs; (c) Technological challenges, resourcefulness, and creativity; (d) Changed perception of DiNP roles; and (e) Cultural diversity and improving communication skills. The benefits of telemedicine included improved control, efficiency, convenience and satisfaction, while the disadvantages of this method included the inability to provide optimal practical guidance on technical aspects of physical assessments and care. Sectors with limited digital literacy and language barriers had difficulties using telemedicine. Teamwork was reported as a facilitator to managing treatment. Telemedicine provided an opportunity for DiNPs to become more efficient and focused and to clearly define their role in the organization. CONCLUSIONS The COVID-19 pandemic has posed new challenges. Along with the need to adapt the therapeutic approach to remote care, DiNPs improved their professional status, acquired new skills, and were satisfied with their personal and professional growth. CLINICAL RELEVANCE Telemedicine should become an integral part of diabetes management to enable access to populations who cannot come to the clinic. Patients should be guided on using telemedicine platforms.
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Affiliation(s)
- Orit Waizinger
- Nursing Care Coordinator in Diabetes, Haifa and Western Galil District, Clalit Health Services, Tel Aviv, Israel
| | - Miriam Shpigelman
- Nursing Care Coordinator in Diabetes, Sharon-Shomron District, Clalit Health Services, Tel Aviv, Israel
| | - Rachel Shental
- Coordinator of Diabetes Care for Adults, Rambam Health Care Campus, Haifa, Israel
| | - Bushra Yunis
- Coordinator of Diabetes Care, Central District, Meuhedet Health Services, Tel Aviv, Israel
| | - Pnina Shimoni
- Nursing Care Coordinator in Diabetes, Sharon-Shomron District, Clalit Health Services, Tel Aviv, Israel
| | | | - Ilya Kagan
- Nursing Department, Ashkelon Academic College, Ashkelon, Israel
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28
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Ferstad JO, Vallon JJ, Jun D, Gu A, Vitko A, Morales DP, Leverenz J, Lee MY, Leverenz B, Vasilakis C, Osmanlliu E, Prahalad P, Maahs DM, Johari R, Scheinker D. Population-level management of type 1 diabetes via continuous glucose monitoring and algorithm-enabled patient prioritization: Precision health meets population health. Pediatr Diabetes 2021; 22:982-991. [PMID: 34374183 PMCID: PMC8635792 DOI: 10.1111/pedi.13256] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 07/28/2021] [Indexed: 01/17/2023] Open
Abstract
OBJECTIVE To develop and scale algorithm-enabled patient prioritization to improve population-level management of type 1 diabetes (T1D) in a pediatric clinic with fixed resources, using telemedicine and remote monitoring of patients via continuous glucose monitor (CGM) data review. RESEARCH DESIGN AND METHODS We adapted consensus glucose targets for T1D patients using CGM to identify interpretable clinical criteria to prioritize patients for weekly provider review. The criteria were constructed to manage the number of patients reviewed weekly and identify patients who most needed provider contact. We developed an interactive dashboard to display CGM data relevant for the patients prioritized for review. RESULTS The introduction of the new criteria and interactive dashboard was associated with a 60% reduction in the mean time spent by diabetes team members who remotely and asynchronously reviewed patient data and contacted patients, from 3.2 ± 0.20 to 1.3 ± 0.24 min per patient per week. Given fixed resources for review, this corresponded to an estimated 147% increase in weekly clinic capacity. Patients who qualified for and received remote review (n = 58) have associated 8.8 percentage points (pp) (95% CI = 0.6-16.9 pp) greater time-in-range (70-180 mg/dl) glucoses compared to 25 control patients who did not qualify at 12 months after T1D onset. CONCLUSIONS An algorithm-enabled prioritization of T1D patients with CGM for asynchronous remote review reduced provider time spent per patient and was associated with improved time-in-range.
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Affiliation(s)
- Johannes O. Ferstad
- Department of Management Science and Engineering, Stanford University School of Engineering, Stanford, California, USA
| | - Jacqueline J. Vallon
- Department of Management Science and Engineering, Stanford University School of Engineering, Stanford, California, USA
| | - Daniel Jun
- Department of Management Science and Engineering, Stanford University School of Engineering, Stanford, California, USA
| | - Angela Gu
- Department of Computer Science, Stanford University School of Engineering, Stanford, California, USA
| | - Anastasiya Vitko
- Department of Computer Science, Stanford University School of Engineering, Stanford, California, USA
| | - Dianelys P. Morales
- Department of Management Science and Engineering, Stanford University School of Engineering, Stanford, California, USA
| | - Jeannine Leverenz
- Division of Pediatric Endocrinology, Stanford University School of Medicine, Stanford, California, USA
| | - Ming Yeh Lee
- Division of Pediatric Endocrinology, Stanford University School of Medicine, Stanford, California, USA
| | - Brianna Leverenz
- Division of Pediatric Endocrinology, Stanford University School of Medicine, Stanford, California, USA
| | - Christos Vasilakis
- Centre for Healthcare Innovation and Improvement (CHI), School of Management, University of Bath, Bath, UK
| | - Esli Osmanlliu
- Division of Pediatric Endocrinology, Stanford University School of Medicine, Stanford, California, USA,Department of Pediatrics, Montreal Children’s Hospital, McGill University Health Centre, Montreal, Canada
| | - Priya Prahalad
- Division of Pediatric Endocrinology, Stanford University School of Medicine, Stanford, California, USA,Stanford Diabetes Research Center, Stanford University, Stanford, California, USA
| | - David M. Maahs
- Division of Pediatric Endocrinology, Stanford University School of Medicine, Stanford, California, USA,Stanford Diabetes Research Center, Stanford University, Stanford, California, USA,Department of Health Research and Policy, Stanford University School of Medicine, Stanford, California, USA
| | - Ramesh Johari
- Department of Management Science and Engineering, Stanford University School of Engineering, Stanford, California, USA,Stanford Diabetes Research Center, Stanford University, Stanford, California, USA
| | - David Scheinker
- Department of Management Science and Engineering, Stanford University School of Engineering, Stanford, California, USA,Division of Pediatric Endocrinology, Stanford University School of Medicine, Stanford, California, USA,Clinical Excellence Research Center, Stanford University School of Medicine, Stanford, California, USA
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Addala A, Zaharieva DP, Gu AJ, Prahalad P, Scheinker D, Buckingham B, Hood KK, Maahs DM. Clinically Serious Hypoglycemia Is Rare and Not Associated With Time-in-range in Youth With New-onset Type 1 Diabetes. J Clin Endocrinol Metab 2021; 106:3239-3247. [PMID: 34265059 PMCID: PMC8530719 DOI: 10.1210/clinem/dgab522] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Indexed: 02/06/2023]
Abstract
CONTEXT Early initiation of continuous glucose monitoring (CGM) is advocated for youth with type 1 diabetes (T1D). Data to guide CGM use on time-in-range (TIR), hypoglycemia, and the role of partial clinical remission (PCR) are limited. OBJECTIVE Our aims were to assess whether 1) an association between increased TIR and hypoglycemia exists, and 2) how time in hypoglycemia varies by PCR status. METHODS We analyzed 80 youth who were started on CGM shortly after T1D diagnosis and were followed for up to 1-year post diagnosis. TIR and hypoglycemia rates were determined by CGM data and retrospectively analyzed. PCR was defined as (visit glycated hemoglobin A1c) + (4*units/kg/day) less than 9. RESULTS Youth were started on CGM 8.0 (interquartile range, 6.0-13.0) days post diagnosis. Time spent at less than 70 mg/dL remained low despite changes in TIR (highest TIR 74.6 ± 16.7%, 2.4 ± 2.4% hypoglycemia at 1 month post diagnosis; lowest TIR 61.3 ± 20.3%, 2.1 ± 2.7% hypoglycemia at 12 months post diagnosis). No events of severe hypoglycemia occurred. Hypoglycemia was rare and there was minimal difference for PCR vs non-PCR youth (54-70 mg/dL: 1.8% vs 1.2%, P = .04; < 54mg/dL: 0.3% vs 0.3%, P = .55). Approximately 50% of the time spent in hypoglycemia was in the 65 to 70 mg/dL range. CONCLUSION As TIR gradually decreased over 12 months post diagnosis, hypoglycemia was limited with no episodes of severe hypoglycemia. Hypoglycemia rates did not vary in a clinically meaningful manner by PCR status. With CGM being started earlier, consideration needs to be given to modifying CGM hypoglycemia education, including alarm settings. These data support a trial in the year post diagnosis to determine alarm thresholds for youth who wear CGM.
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Affiliation(s)
- Ananta Addala
- Division of Endocrinology, Department of Pediatrics, Stanford University, School of Medicine, Stanford, California, USA
- Correspondence: Ananta Addala, DO, MPH, Division of Endocrinology, Department of Pediatrics, Stanford University, School of Medicine, Stanford, CA 94305, USA.
| | - Dessi P Zaharieva
- Division of Endocrinology, Department of Pediatrics, Stanford University, School of Medicine, Stanford, California, USA
| | - Angela J Gu
- Division of Endocrinology, Department of Pediatrics, Stanford University, School of Medicine, Stanford, California, USA
- Department of Management Science and Engineering, Stanford University, Stanford, California, USA
| | - Priya Prahalad
- Division of Endocrinology, Department of Pediatrics, Stanford University, School of Medicine, Stanford, California, USA
- Stanford Diabetes Research Center, Stanford, California, USA
| | - David Scheinker
- Division of Endocrinology, Department of Pediatrics, Stanford University, School of Medicine, Stanford, California, USA
- Department of Management Science and Engineering, Stanford University, Stanford, California, USA
- Stanford Diabetes Research Center, Stanford, California, USA
| | - Bruce Buckingham
- Division of Endocrinology, Department of Pediatrics, Stanford University, School of Medicine, Stanford, California, USA
- Stanford Diabetes Research Center, Stanford, California, USA
| | - Korey K Hood
- Division of Endocrinology, Department of Pediatrics, Stanford University, School of Medicine, Stanford, California, USA
- Stanford Diabetes Research Center, Stanford, California, USA
| | - David M Maahs
- Division of Endocrinology, Department of Pediatrics, Stanford University, School of Medicine, Stanford, California, USA
- Stanford Diabetes Research Center, Stanford, California, USA
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Tanenbaum ML, Messer LH, Wu CA, Basina M, Buckingham BA, Hessler D, Mulvaney SA, Maahs DM, Hood KK. Help when you need it: Perspectives of adults with T1D on the support and training they would have wanted when starting CGM. Diabetes Res Clin Pract 2021; 180:109048. [PMID: 34534592 PMCID: PMC8578423 DOI: 10.1016/j.diabres.2021.109048] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 08/30/2021] [Accepted: 09/09/2021] [Indexed: 10/20/2022]
Abstract
AIMS The purpose of this study was to explore preferences that adults with type 1 diabetes (T1D) have for training and support to initiate and sustain optimal use of continuous glucose monitoring (CGM) technology. METHODS Twenty-two adults with T1D (M age 30.95 ± 8.32; 59.1% female; 90.9% Non-Hispanic; 86.4% White; diabetes duration 13.5 ± 8.42 years; 72.7% insulin pump users) who had initiated CGM use in the past year participated in focus groups exploring two overarching questions: (1) What helped you learn to use your CGM? and (2) What additional support would you have wanted? Focus groups used a semi-structured interview guide and were recorded, transcribed and analyzed. RESULTS Overarching themes identified were: (1) "I got it going by myself": CGM training left to the individual; (2) Internet as diabetes educator, troubleshooter, and peer support system; and (3) domains of support they wanted, including content and format of this support. CONCLUSION This study identifies current gaps in training and potential avenues for enhancing device education and CGM onboarding support for adults with T1D. Providing CGM users with relevant, timely resources and attending to the emotional side of using CGM could alleviate the burden of starting a new device and promote sustained device use.
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Affiliation(s)
- Molly L Tanenbaum
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University, School of Medicine, Stanford, CA, USA; Stanford Diabetes Research Center, Stanford, CA, USA.
| | - Laurel H Messer
- University of Colorado Anschutz, Barbara Davis Center for Childhood Diabetes, Aurora, CO, USA.
| | - Christine A Wu
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University, School of Medicine, Stanford, CA, USA.
| | - Marina Basina
- Stanford Diabetes Research Center, Stanford, CA, USA; Division of Endocrinology, Gerontology, & Metabolism, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
| | - Bruce A Buckingham
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University, School of Medicine, Stanford, CA, USA; Stanford Diabetes Research Center, Stanford, CA, USA.
| | - Danielle Hessler
- Department of Family and Community Medicine, University of California, San Francisco, San Francisco, CA, USA.
| | - Shelagh A Mulvaney
- Center for Diabetes Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA; School of Nursing, Vanderbilt University, Nashville, TN, USA.
| | - David M Maahs
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University, School of Medicine, Stanford, CA, USA; Stanford Diabetes Research Center, Stanford, CA, USA.
| | - Korey K Hood
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University, School of Medicine, Stanford, CA, USA; Stanford Diabetes Research Center, Stanford, CA, USA.
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Chalew S, Delamater AM, Washington S, Bhat J, Franz D, Gomez R, Felipe D, Tieh P, Finger L. Can Innovative Technologies Overcome HbA1c Disparity for African-American Youth with Type 1 Diabetes? J Diabetes Sci Technol 2021; 15:1069-1075. [PMID: 34137288 PMCID: PMC8442203 DOI: 10.1177/19322968211021386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Achieving normal or near-normal glycemic control as reflected by HbA1c levels in patients with type 1 diabetes (T1D) is important for preventing the development and progression of chronic complications. Despite delineation and dissemination of HbA1c management targets and advances in insulin pharmacology, insulin delivery systems, and glucose monitoring, the majority of children with T1D do not achieve HbA1c goals. In particular, African Americans are more likely not to reach HbA1c goals and have persistently higher HbA1c than Non-Hispanic Whites. Availability of pumps and other technology has not eliminated the disparity in HbA1c. Multiple factors play a role in the persisting racial disparity in HbA1c outcome. The carefully designed application and deployment of new technology to help the patient/family and facilitate the supportive role of the diabetes management team may be able to overcome racial disparity in glycemic outcome and improve patient quality of life.
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Affiliation(s)
- Stuart Chalew
- Department of Pediatrics,
Division of Pediatric Endocrinology and Diabetes, School of Medicine,
Louisiana State University Health Sciences Center, Children’s Hospital of
New Orleans, New Orleans, LA, USA
- Stuart Chalew, MD, Department of
Pediatrics, Endocrinology and Diabetes, School of Medicine, Louisiana
State University Health Sciences Center, Children’s Hospital of New
Orleans, 200 Henry Clay Avenue, New Orleans, LA 70118, USA.
| | - Alan M. Delamater
- Department of Pediatrics,
University of Miami Miller School of Medicine, Miami, FL, USA
| | - Sonja Washington
- Endocrinology and Diabetes, The
Children’s Hospital of New Orleans, New Orleans, LA, USA
| | - Jayalakshmi Bhat
- Department of Pediatrics,
Division of Pediatric Endocrinology and Diabetes, School of Medicine,
Louisiana State University Health Sciences Center, Children’s Hospital of
New Orleans, New Orleans, LA, USA
| | - Diane Franz
- Department of Psychology, The
Children’s Hospital of New Orleans, New Orleans, LA, USA
| | - Ricardo Gomez
- Department of Pediatrics,
Division of Pediatric Endocrinology and Diabetes, School of Medicine,
Louisiana State University Health Sciences Center, Children’s Hospital of
New Orleans, New Orleans, LA, USA
| | - Dania Felipe
- Department of Pediatrics,
Division of Pediatric Endocrinology and Diabetes, School of Medicine,
Louisiana State University Health Sciences Center, Children’s Hospital of
New Orleans, New Orleans, LA, USA
| | - Peter Tieh
- Department of Pediatrics,
Division of Pediatric Endocrinology and Diabetes, School of Medicine,
Louisiana State University Health Sciences Center, Children’s Hospital of
New Orleans, New Orleans, LA, USA
| | - Laurie Finger
- Endocrinology and Diabetes, The
Children’s Hospital of New Orleans, New Orleans, LA, USA
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32
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Tanenbaum ML, Zaharieva DP, Addala A, Ngo J, Prahalad P, Leverenz B, New C, Maahs DM, Hood KK. 'I was ready for it at the beginning': Parent experiences with early introduction of continuous glucose monitoring following their child's Type 1 diabetes diagnosis. Diabet Med 2021; 38:e14567. [PMID: 33772862 PMCID: PMC8480902 DOI: 10.1111/dme.14567] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 03/01/2021] [Accepted: 03/06/2021] [Indexed: 12/13/2022]
Abstract
AIM This study aimed to capture the experience of parents of youth with recent onset Type 1 diabetes who initiated use of continuous glucose monitoring (CGM) technology soon after diagnosis, which is a new practice. METHODS Focus groups and individual interviews were conducted with parents of youth with Type 1 diabetes who had early initiation of CGM as part of a new clinical protocol. Interviewers used a semi-structured interview guide to elicit feedback and experiences with starting CGM within 30 days of diagnosis, and the benefits and barriers they experienced when adjusting to this technology. Groups and interviews were audio recorded, transcribed and analysed using content analysis. RESULTS Participants were 16 parents (age 44.13 ± 8.43 years; 75% female; 56.25% non-Hispanic White) of youth (age 12.38 ± 4.15 years; 50% female; 50% non-Hispanic White; diabetes duration 10.35 ± 3.89 months) who initiated CGM 11.31 ± 7.33 days after diabetes diagnosis. Overall, parents reported high levels of satisfaction with starting CGM within a month of diagnosis and described a high level of reliance on the technology to help manage their child's diabetes. All participants recommended early CGM initiation for future families and were committed to continue using the technology for the foreseeable future, provided that insurance covered it. CONCLUSION Parents experienced CGM initiation shortly after their child's Type 1 diabetes diagnosis as a highly beneficial and essential part of adjusting to living with diabetes.
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Affiliation(s)
- Molly L. Tanenbaum
- Division of Endocrinology, Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford University School of Medicine, Stanford, CA, USA
| | - Dessi P. Zaharieva
- Division of Endocrinology, Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA, USA
| | - Ananta Addala
- Division of Endocrinology, Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA, USA
| | - Jessica Ngo
- Division of Endocrinology, Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA, USA
| | - Priya Prahalad
- Division of Endocrinology, Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA, USA
| | - Brianna Leverenz
- Division of Endocrinology, Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA, USA
| | - Christin New
- Division of Endocrinology, Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA, USA
| | - David M. Maahs
- Division of Endocrinology, Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford University School of Medicine, Stanford, CA, USA
| | - Korey K. Hood
- Division of Endocrinology, Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford University School of Medicine, Stanford, CA, USA
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Lavens A, Nobels F, De Block C, Oriot P, Verhaegen A, Chao S, Casteels K, Mouraux T, Doggen K, Mathieu C. Effect of an Integrated, Multidisciplinary Nationwide Approach to Type 1 Diabetes Care on Metabolic Outcomes: An Observational Real-World Study. Diabetes Technol Ther 2021; 23:565-576. [PMID: 33780640 DOI: 10.1089/dia.2021.0003] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Objective: Achieving good metabolic control in people with type 1 diabetes (T1D) remains a challenge, despite the evolutions in diabetes technologies over the past decade. Here we investigate the evolution of metabolic control in people with T1D, where care is provided by specialized centers with access to technology, diabetes education, and regular follow-up. Methods: Data were cross-sectionally collected between 2010 and 2018 from more than 100 centers in Belgium. The evolutions over time of hemoglobin A1C (HbA1c), low-density lipoprotein (LDL) cholesterol, and systolic blood pressure (SBP) were investigated, together with the evolutions of use of insulin pump (continuous subcutaneous insulin infusion [CSII]), continuous glucose monitoring (CGM), and lipid-lowering and antihypertensive drugs. Association of HbA1c with gender, age, diabetes duration, and technology use was analyzed on the most recent cohort. Results: The study population contained data from 89,834 people with T1D (age 1-80 years). Mean HbA1c decreased from 65 mmol/mol (8.1%) in 2010-2011 to 61 mmol/mol (7.7%) in 2017-2018 (P < 0.0001, adjusted for gender, age, diabetes duration, and technology use). Respectively, mean LDL cholesterol decreased from 2.45 mmol/L (94.6 mg/dL) to 2.29 mmol/L (88.5 mg/dL) (P < 0.0001, adjusted for gender, age, and diabetes duration), and mean SBP remained stable. CGM usage increased, whereas the use of CSII and lipid-lowering and antihypertensive drugs remained stable. Gender, age, diabetes duration, and technology use were independently associated with HbA1c. Conclusions: Our real-world data show that metabolic and lipid control improved over time in a system where T1D care is organized through specialized multidisciplinary centers with emphasis on linking education to provision of technology, and its quality is monitored.
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Affiliation(s)
- Astrid Lavens
- Health Services Research, Sciensano, Brussels, Belgium
| | - Frank Nobels
- Department of Endocrinology, Onze-Lieve-Vrouw Hospital Aalst, Aalst, Belgium
| | - Christophe De Block
- Department of Endocrinology, Diabetology and Metabolism, University of Antwerp-Antwerp University Hospital, Antwerp, Belgium
| | - Philippe Oriot
- Department of Endocrinology and Diabetes, Mouscron Hospital Centre, Mouscron, Belgium
| | - Ann Verhaegen
- Department of Endocrinology, Diabetology and Metabolism, University of Antwerp-Antwerp University Hospital, Antwerp, Belgium
| | - Suchsia Chao
- Health Services Research, Sciensano, Brussels, Belgium
| | - Kristina Casteels
- Department of Pediatrics, University Hospitals Leuven-KU Leuven, Leuven, Belgium
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Thierry Mouraux
- Department of Pediatric Endocronology, University Hospitals de Namur-UC Louvain, Yvoir, Belgium
| | - Kris Doggen
- Health Services Research, Sciensano, Brussels, Belgium
| | - Chantal Mathieu
- Department of Endocrinology, University Hospitals Leuven-KU Leuven, Leuven, Belgium
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Andrikopoulos S, James S, Wischer N. What Gets Measured Gets Improved-Setting Standards and Accreditation for Quality Improvement for Diabetes Services in Australia. J Diabetes Sci Technol 2021; 15:748-754. [PMID: 34008432 PMCID: PMC8258522 DOI: 10.1177/19322968211009910] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The purpose of this article is to illustrate that setting standards of care is the cornerstone for excellence in diabetes management. This is underpinned by 3 activities: a standards and accreditation process, an audit and benchmarking program and a linked quality improvement plan. While there are many examples of local auditing and quality improvement programs, there are very few that are at a national level. The National Association of Diabetes Centres (NADC) was formed by the Australian Diabetes Society and the Australian Diabetes Educators Association to set standards of diabetes care in Australia. A rigorous accreditation process was put in place to recognize primary, secondary, and tertiary level diabetes centers that meet these standards. The NADC accreditation process is underpinned by a quality improvement plan, which must be submitted for accreditation to be granted and is informed by the Australian National Diabetes Audit (ANDA). ANDA is conducted annually to gather information about treatments, complications, self-care practices and quality of life outcomes and provides a national as well as an individual report to the participating center that is used to benchmark against other like centers. The ANDA reports are important to inform national policy and advocacy for diabetes care and to also provide information for quality improvement purposes for the individual participating center. We believe that the NADC Standards and Accreditation can be an exemplar for other countries to adapt and adopt to standardize diabetes care at the highest level.
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Affiliation(s)
- Sofianos Andrikopoulos
- Australian Diabetes Society and National Association of Diabetes Centres, Sydney, New South Wales, Australia
| | - Steven James
- School of Nursing, Midwifery and Paramedicine, University of the Sunshine Coast, Petrie, Queensland, Australia
| | - Natalie Wischer
- Natalie Wischer, CEO, National Association of Diabetes Centres, 145 Macquarie Street, Sydney, NSW 2000, Australia.
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Shang T, Zhang JY, Bequette BW, Raymond JK, Coté G, Sherr JL, Castle J, Pickup J, Pavlovic Y, Espinoza J, Messer LH, Heise T, Mendez CE, Kim S, Ginsberg BH, Masharani U, Galindo RJ, Klonoff DC. Diabetes Technology Meeting 2020. J Diabetes Sci Technol 2021; 15:916-960. [PMID: 34196228 PMCID: PMC8258529 DOI: 10.1177/19322968211016480] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Diabetes Technology Society hosted its annual Diabetes Technology Meeting on November 12 to November 14, 2020. This meeting brought together speakers to cover various perspectives about the field of diabetes technology. The meeting topics included artificial intelligence, digital health, telemedicine, glucose monitoring, regulatory trends, metrics for expressing glycemia, pharmaceuticals, automated insulin delivery systems, novel insulins, metrics for diabetes monitoring, and discriminatory aspects of diabetes technology. A live demonstration was presented.
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Affiliation(s)
- Trisha Shang
- Diabetes Technology Society, Burlingame, CA, USA
| | | | | | - Jennifer K. Raymond
- Children’s Hospital Los Angeles, University of Southern California, Los Angeles, CA, USA
| | - Gerard Coté
- Texas A & M University, College Station, Texas, USA
| | | | | | | | | | - Juan Espinoza
- Children’s Hospital Los Angeles, University of Southern California, Los Angeles, CA, USA
| | | | | | | | - Sarah Kim
- University of California San Francisco, San Francisco, CA, USA
| | | | - Umesh Masharani
- University of California San Francisco, San Francisco, CA, USA
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36
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Deeb A, Muammar T, Alsaffar H, Sedaghat S, Al Hassani N, Odeh R, Alkhayyat H, Al Sinani A, Attia N, Adhami S, Elbarbary N. Use of ambulatory glucose monitoring and analysis of ambulatory glucose profile in clinical practice for diabetes management; a position statement of the Arab Society of Paediatric Endocrinology and diabetes. Diabetes Res Clin Pract 2021; 173:108671. [PMID: 33493578 DOI: 10.1016/j.diabres.2021.108671] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 01/03/2021] [Accepted: 01/12/2021] [Indexed: 12/15/2022]
Abstract
BACKGROUND AND AIM Diabetes mellitus imposes a significant burden around the world generally and in the Middle East and North Africa specifically. Glucose monitoring is a cornerstone of diabetes management. METHODS Glycated haemoglobin has always been the main metric for assessing glycaemic control, but its use is linked with multiple pitfalls. As an alternative, continuous glucose monitoring is becoming a standard of care in many countries. Intermittent scanning glucose monitoring (isCGM) has acquired a worldwide popularity and has been proven to improve glycaemic control, hypoglycaemia detection and prevention, and quality of life. RESULTS The most recent International Society of Paediatric and Adolescent Diabetes practice. guidelines recommended its use in young people with diabetes observing Ramadan to ensure safe fasting. At a meeting in Abu Dhabi in November 2019, the Arab Society for Paediatric. Endocrinology and Diabetes brought together a number of regional diabetes experts, patient. representatives and international expert advisors to review the evidence for isCGM and propose. guidelines for its use in the Middle East and North Africa region. CONCLUSION In this paper, the authors strongly recommend the use of isCGM for patients in MENA and present general recommendations and compressive specific guidance for physicians and patients, which they believe will also have wider resonance.
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Affiliation(s)
- Asma Deeb
- Paediatric Endocrinology Department, Sheikh Shakhbout Medical City, Abu Dhabi, United Arab Emirates
| | - Tawfik Muammar
- Imperial College London Diabetes Centre, Abu Dhabi, United Arab Emirates
| | - Hussain Alsaffar
- Paediatric Endocrine and Diabetics Unit, Department of Child Health, Sultan Qaboos University Hospital, Muscat, Oman
| | | | - Noura Al Hassani
- Department of Paediatrics, Tawam Hospital and UAE College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Rasha Odeh
- Department of Paediatrics, School of Medicine, University of Jordan, Amman, Jordan
| | - Haya Alkhayyat
- Bahrain Defence Force Royal Medical Services Military Hospital, West Riffa, Kingdom of Bahrain, Kingdom of Bahrain, Royal College of Surgeons in Ireland Medical University of Bahrain, Adliya, Bahrain
| | - Aisha Al Sinani
- National Diabetic and Endocrine Center, Royal Hospital, Muscat, Oman
| | - Najya Attia
- King Abdulaziz Medical City, Riyadh, Saudi Arabia
| | - Sarah Adhami
- Mediclinic City Hospital, Dubai, United Arab Emirates
| | - Nancy Elbarbary
- Diabetes Unit, Department of Pediatrics, Faculty of medicine, Ain Shams University, Cairo, Egypt.
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Abstract
PURPOSE OF REVIEW The role of telehealth in the care of people with type 1 diabetes (T1D) has expanded dramatically during the coronavirus pandemic, and is expected to remain a major care delivery modality going forward. This review explores the landscape of recent evidence for telehealth in T1D care. RECENT FINDINGS Telemedicine for routine T1D care has shown equivalence to standard in-person care, with respect to glycemic control, while also increasing access, convenience, and satisfaction. Telehealth use promotes increased engagement of adolescents with T1D. Telehealth platforms have successfully been used in the care of microvascular complications and to support mental health related to diabetes. Machine learning and advanced decision support will increasingly be used to augment T1D care, as recent evidence suggests increasing capabilities to improve glycemic control. A spectrum of digital connected care services are emerging to support people with diabetes with daily management of diabetes. Finally, policy and systems are required that promote data interoperability, telemedicine provision, and reimbursement to support the ongoing growth of telehealth in T1D. SUMMARY A developing field of evidence supports use of telehealth in T1D. As this care modality scales, it has the potential to increase access to high-quality diabetes care for many people with T1D.
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Affiliation(s)
| | - Aaron B Neinstein
- Department of Medicine
- Center for Digital Health Innovation, University of California, San Francisco, San Francisco, California, USA
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38
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Scheinker D, Gu A, Grossman J, Ward A, Ayerdi O, Miller D, Leverenz J, Hood K, Lee MY, Maahs DM, Prahalad P. Algorithm-Enabled, Personalized Glucose Management for Type 1 Diabetes at the Population Scale: A Prospective Evaluation in Clinical Practice (Preprint). JMIR Diabetes 2021; 7:e27284. [PMID: 35666570 PMCID: PMC9210201 DOI: 10.2196/27284] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 05/19/2021] [Accepted: 02/22/2022] [Indexed: 01/04/2023] Open
Abstract
Background The use of continuous glucose monitors (CGMs) is recommended as the standard of care by the American Diabetes Association for individuals with type 1 diabetes (T1D). Few hardware-agnostic, open-source, whole-population tools are available to facilitate the use of CGM data by clinicians such as physicians and certified diabetes educators. Objective This study aimed to develop a tool that identifies patients appropriate for contact using an asynchronous message through electronic medical records while minimizing the number of patients reviewed by a certified diabetes educator or physician using the tool. Methods We used consensus guidelines to develop timely interventions for diabetes excellence (TIDE), an open-source hardware-agnostic tool to analyze CGM data to identify patients with deteriorating glucose control by generating generic flags (eg, mean glucose [MG] >170 mg/dL) and personalized flags (eg, MG increased by >10 mg/dL). In a prospective 7-week study in a pediatric T1D clinic, we measured the sensitivity of TIDE in identifying patients appropriate for contact and the number of patients reviewed. We simulated measures of the workload generated by TIDE, including the average number of time in range (TIR) flags per patient per review period, on a convenience sample of eight external data sets, 6 from clinical trials and 2 donated by research foundations. Results Over the 7 weeks of evaluation, the clinical population increased from 56 to 64 patients. The mean sensitivity was 99% (242/245; SD 2.5%), and the mean reduction in the number of patients reviewed was 42.6% (182/427; SD 10.9%). The 8 external data sets contained 1365 patients with 30,017 weeks of data collected by 7 types of CGMs. The rates of generic and personalized TIR flags per patient per review period were, respectively, 0.15 and 0.12 in the data set with the lowest average MG (141 mg/dL) and 0.95 and 0.22 in the data set with the highest average MG (207 mg/dL). Conclusions TIDE is an open-source hardware-agnostic tool for personalized analysis of CGM data at the clinical population scale. In a pediatric T1D clinic, TIDE identified 99% of patients appropriate for contact using an asynchronous message through electronic medical records while reducing the number of patients reviewed by certified diabetes care and education specialists by 43%. For each of the 8 external data sets, simulation of the use of TIDE produced fewer than 0.25 personalized TIR flags per patient per review period. The use of TIDE to support telemedicine-based T1D care may facilitate sensitive and efficient guideline-based population health management.
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Affiliation(s)
- David Scheinker
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, United States
- Lucile Packard Children's Hospital, Stanford University, Stanford, CA, United States
- Department of Management Science and Engineering, Stanford University School of Engineering, Stanford, CA, United States
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, United States
| | - Angela Gu
- Department of Management Science and Engineering, Stanford University School of Engineering, Stanford, CA, United States
| | - Joshua Grossman
- Department of Management Science and Engineering, Stanford University School of Engineering, Stanford, CA, United States
| | - Andrew Ward
- Department of Management Science and Engineering, Stanford University School of Engineering, Stanford, CA, United States
| | - Oseas Ayerdi
- Department of Management Science and Engineering, Stanford University School of Engineering, Stanford, CA, United States
| | - Daniel Miller
- Department of Management Science and Engineering, Stanford University School of Engineering, Stanford, CA, United States
| | - Jeannine Leverenz
- Lucile Packard Children's Hospital, Stanford University, Stanford, CA, United States
| | - Korey Hood
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, United States
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, United States
| | - Ming Yeh Lee
- Lucile Packard Children's Hospital, Stanford University, Stanford, CA, United States
| | - David M Maahs
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, United States
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, United States
- Department of Health Research and Policy, Stanford University, Stanford, CA, United States
| | - Priya Prahalad
- Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, United States
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, United States
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