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Marchini F, Caputo A, Convertino A, Giuliani C, Bitterman O, Pitocco D, Fornengo R, Lovati E, Forte E, Sciacca L, Napoli A. Associations between continuous glucose monitoring (CGM) metrics and psycholinguistic measures: a correlational study. Acta Diabetol 2024; 61:841-845. [PMID: 38492044 PMCID: PMC11182795 DOI: 10.1007/s00592-024-02244-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 01/22/2024] [Indexed: 03/18/2024]
Abstract
AIM Recently, the relationship between diabetes and mental health has been widely studied. With the advent of continuous glucose monitoring (CGM), some researchers have been interested in exploring the association between glucose-related metrics and psychological aspects. These studies have primarily relied on self-report questionnaires which present some limitations. Therefore, the present multicenter study aims at testing potential associations between CGM metrics and affective processes derived from narratives about using a CGM sensor. METHODS An exploratory correlational design was used. Fifty-eight adults with type 1 diabetes using CGM were enrolled and invited to complete an online survey, where they replied to an open-ended question regarding their personal experience with the CGM sensor. Texts derived from the answers were analyzed through Linguistic Inquiry and Word Count, a widely used text analysis tool that can automatically identify and quantify linguistic patterns related to various psychological dimensions. Psycholinguistic measures were correlated with CGM metrics. RESULTS Higher levels of sadness/depression correlated with lower %TIR (r = - 339; p < .01) and higher %TAR (r = .342; p < .01). CONCLUSIONS The study highlights the relationship between CGM metrics and psychological variables derived from patients' narratives. In particular, it is possible to hypothesize a positive role of %TIR in reducing depressive feelings in individuals with diabetes, as well as a negative role of depressive feelings in achieving desirable CGM outcomes. Additionally, there is a potential role of glycemic variability, particularly hyperglycemia, in the expression of depressive and sad feelings, which has been less studied compared to the effects of hypoglycemia.
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Affiliation(s)
| | - Andrea Caputo
- Department of Clinical, Dynamic and Health Psychology, Sapienza University of Rome, Rome, Italy
| | - Alessio Convertino
- Uosd Immunopatologia e allergologia pediatrica, Policlinico Tor Vergata, Rome, Italy
| | | | | | - Dario Pitocco
- Diabetes Care Unit Fondazione Policlinico, Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | | | - Elisabetta Lovati
- Fondazione IRCCS Policlinico San Matteo, Endocrinology, Pavia, Italy
| | | | - Laura Sciacca
- Department of Clinical and Experimental Medicine, Endocrinology Section, University of Catania, Catania, Italy
| | - Angela Napoli
- Israelititco Hospital, International Medical University "Unicamillus" Cdc "Santa Famiglia", Rome, Italy
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Gómez AM, Henao Carrillo DC, Ré MA, Faradji RN, Flores Caloca O, de la Garza Hernández NE, Antillón Ferreira C, Garnica-Cuéllar JC, Krakauer M, Galindo RJ. Recommendations on the use of the flash continuous glucose monitoring system in hospitalized patients with diabetes in Latin America. Diabetol Metab Syndr 2024; 16:128. [PMID: 38867297 PMCID: PMC11167888 DOI: 10.1186/s13098-024-01362-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Accepted: 05/27/2024] [Indexed: 06/14/2024] Open
Abstract
BACKGROUND Continuous glucose monitoring can improve glycemic control for hospitalized patients with diabetes, according to current evidence. However, there is a lack of consensus-established recommendations for the management of hospitalized patients with diabetes using flash continuous glucose monitoring system (fCGM) in Latin America. Therefore, this expert consensus exercise aimed to establish guidelines on the implementation of fCGM in the management of hospitalized patients with diabetes in Latin America. METHODS The modified Delphi method was applied on a panel of nine specialists, establishing consensus at 80%. A twenty-two-question instrument was developed to establish recommendations on the use of fCGM in hospitalized patients living with diabetes. RESULTS Based on consensus, experts recommend the use of fCGM in hospitalized patients with diabetes starting at admission or whenever hyperglycemia (> 180 mg/dl) is confirmed and continue monitoring throughout the entire hospital stay. The recommended frequency of fCGM scans varies depending on the patient's age and diabetes type: ten scans per day for pediatric patients with type 1 and 2 diabetes, adult patients with type 1 diabetes and pregnant patients, and seven scans for adult patients with type 2 diabetes. Different hospital services can benefit from fCGM, including the emergency room, internal medicine departments, intensive care units, surgery rooms, and surgery wards. CONCLUSIONS The use of fCGM is recommended for patients with diabetes starting at the time of admission in hospitals in Latin America, whenever the necessary resources (devices, education, personnel) are available.
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Clark TL, Polonsky WH, Soriano EC. The Potential Impact of Continuous Glucose Monitoring Use on Diabetes-Related Attitudes and Behaviors in Adults with Type 2 Diabetes: A Qualitative Investigation of the Patient Experience. Diabetes Technol Ther 2024. [PMID: 38526557 DOI: 10.1089/dia.2023.0612] [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: 03/26/2024]
Abstract
Background: Despite the known glycemic benefits of continuous glucose monitoring (CGM) for adults with type 2 diabetes (T2D), the attitudinal and behavioral changes underlying these glycemic improvements remain understudied. This study aimed to qualitatively explore these changes among a sample of adults with T2D. Methods: In-depth, semistructured interviews were conducted with adults with T2D who had been using CGM for 3-6 months as part of a larger community project in Ohio. Thematic analysis was used to identify themes across participants' experiences. Results: A total of 34 participants provided insights into their experiences with CGM. Six primary themes emerged: (1) Making the Invisible Visible, highlighting the newfound awareness of T2D in daily life. (2) Effective Decision-Making, emphasizing the use of real-time glucose data for immediate and long-term choices. (3) Enhanced Self-Efficacy, describing a renewed sense of control and motivation. (4) Diabetes-Related Diet Modifications. (5) Changes in Physical Activity. (6) Changes in Medication Taking. Conclusions: Participants reported a far-reaching impact of CGM on their daily lives, with many stating that CGM fostered a greater understanding of diabetes and prompted positive behavior changes. The observed attitudinal and behavioral shifts likely contributed synergistically to the significant glycemic benefits observed over the study period. This study highlights the technology's potential to bring about meaningful attitudinal and behavioral changes.
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Affiliation(s)
- Taylor L Clark
- San Diego Joint Doctoral Program in Clinical Psychology, San Diego State University/University of California, San Diego, California, USA
| | - William H Polonsky
- Behavioral Diabetes Institute, San Diego, California, USA
- Department of Medicine, University of California, San Diego, San Diego, California, USA
| | - Emily C Soriano
- Scripps Whittier Diabetes Institute, Scripps Health, San Diego, California, USA
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Preechasuk L, Avari P, Oliver N, Reddy M. Switching from Intermittently Scanned Continuous Glucose Monitoring to Real-Time Continuous Glucose Monitoring with a Predictive Urgent Low Soon Alert Reduces Exposure to Hypoglycemia. Diabetes Technol Ther 2024. [PMID: 38315504 DOI: 10.1089/dia.2023.0434] [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: 02/07/2024]
Abstract
Differences in the effectiveness of real-time continuous glucose monitoring (rtCGM) and intermittently scanned continuous glucose monitoring (isCGM) in type 1 diabetes (T1D) are reported. The impact on percent time in range of switching from an isCGM with glucose threshold-based optional alerts only (FreeStyle Libre 2 [FSL2]) to an rtCGM (Dexcom G7) with an urgent low soon predictive alert was assessed, alongside other secondary outcomes including hemoglobin A1c (HbA1c) and other continuous glucose monitoring metrics. Adults with T1D using FSL2 were switched to Dexcom G7 for 12 weeks. HbA1c and continuous glucose data during FSL2 and Dexcom G7 use were compared. Data from 29 participants (aged 44.8 ± 16.5 years, 12 male and 17 female) were analyzed. After switching to rtCGM, participants spent less time in hypoglycemia below 3.9 mmol/L (70 mg/dL) (3.0% [1.0%, 5.0%] vs. 2.0% [1.0%, 3.0%], P = 0.006) and had higher percentage achievement of time below 3.9 mmol/L (70 mg/dL) of <4% (55.2% vs. 82.8%, P = 0.005). Coefficient of variation was lower (39.3 ± 6.6% vs. 37.2 ± 5.6%, P = 0.008). In conclusion, adults with T1D who switched from isCGM to rtCGM may benefit from reduced exposure to hypoglycemia and glycemic variability.
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Affiliation(s)
- Lukana Preechasuk
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
- Siriraj Diabetes Center of Excellence, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Parizad Avari
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
- Department of Diabetes and Endocrinology, Imperial College Healthcare NHS Trust, London, United Kingdom
| | - Nick Oliver
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
- Department of Diabetes and Endocrinology, Imperial College Healthcare NHS Trust, London, United Kingdom
| | - Monika Reddy
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
- Department of Diabetes and Endocrinology, Imperial College Healthcare NHS Trust, London, United Kingdom
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Nourse R, Dingler T, Kelly J, Kwasnicka D, Maddison R. The Role of a Smart Health Ecosystem in Transforming the Management of Chronic Health Conditions. J Med Internet Res 2023; 25:e44265. [PMID: 38109188 PMCID: PMC10758944 DOI: 10.2196/44265] [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] [Received: 11/13/2022] [Revised: 06/07/2023] [Accepted: 06/29/2023] [Indexed: 12/19/2023] Open
Abstract
The effective management of chronic conditions requires an approach that promotes a shift in care from the clinic to the home, improves the efficiency of health care systems, and benefits all users irrespective of their needs and preferences. Digital health can provide a solution to this challenge, and in this paper, we provide our vision for a smart health ecosystem. A smart health ecosystem leverages the interoperability of digital health technologies and advancements in big data and artificial intelligence for data collection and analysis and the provision of support. We envisage that this approach will allow a comprehensive picture of health, personalization, and tailoring of behavioral and clinical support; drive theoretical advancements; and empower people to manage their own health with support from health care professionals. We illustrate the concept with 2 use cases and discuss topics for further consideration and research, concluding with a message to encourage people with chronic conditions, their caregivers, health care professionals, policy and decision makers, and technology experts to join their efforts and work toward adopting a smart health ecosystem.
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Affiliation(s)
- Rebecca Nourse
- School of Exercise and Nutrition Sciences, Deakin University, Burwood, Australia
| | - Tilman Dingler
- School of Computing and Information Systems, University of Melbourne, Melbourne, Australia
| | - Jaimon Kelly
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Dominika Kwasnicka
- NHMRC CRE in Digital Technology to Transform Chronic Disease Outcomes, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
- Faculty of Psychology, SWPS University of Social Sciences and Humanities, Wroclaw, Poland
| | - Ralph Maddison
- School of Exercise and Nutrition Sciences, Deakin University, Burwood, Australia
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Peyyety V, Zupa MF, Hewitt B, Rodriguez Gonzalez A, Mani I, Prioleau T, McCurley J, Lin YK, Vajravelu ME. Barriers and Facilitators to Uptake of Continuous Glucose Monitoring for Management of Type 2 Diabetes Mellitus in Youth. Sci Diabetes Self Manag Care 2023; 49:426-437. [PMID: 37927056 PMCID: PMC10895543 DOI: 10.1177/26350106231205030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2023]
Abstract
PURPOSE The purpose of this study was to identify factors impacting the acceptability of continuous glucose monitoring (CGM) in adolescents and young adults (AYAs) with type 2 diabetes mellitus (T2DM). METHODS In this single-center study, semistructured interviews were conducted with AYAs with T2DM and their parents to determine attitudes about CGM, including barriers and facilitators. Interviews were audio-recorded, transcribed, and evaluated using thematic analysis. RESULTS Twenty AYAs and 10 parents participated (n = 30 total). AYAs were mean age 16.5 years (SD 2.2, range = 13.7-20.1) and had median diabetes duration of 1.3 years. Most were female (65%) and from minoritized background (40% non-Hispanic Black, 10% Hispanic, 5% Asian). Seven (35%) used CGM. The primary facilitator elicited was convenience over glucose meter use. Important barriers included the impact of physically wearing the device and drawing unwanted attention, desire for AYA privacy, and inadequate education about the device. CONCLUSIONS In this diverse sample of AYAs with T2DM and their parents, CGM was generally regarded as convenient, although concerns about worsening stigma and conflict with parents were prevalent. These findings can guide the development of patient-centered approaches to CGM for AYAs with T2DM, a critical step toward reducing inequities in diabetes technology uptake.
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Affiliation(s)
- Vaishnavi Peyyety
- Division of Pediatric Endocrinology, Diabetes, and Metabolism and Center for Pediatric Research in Obesity and Metabolism, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania
| | - Margaret F Zupa
- Division of Endocrinology and Metabolism, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Brianna Hewitt
- Division of Pediatric Endocrinology, Diabetes, and Metabolism and Center for Pediatric Research in Obesity and Metabolism, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania
| | | | - Iswariya Mani
- Division of Pediatric Endocrinology, Diabetes, and Metabolism and Center for Pediatric Research in Obesity and Metabolism, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania
| | | | - Jessica McCurley
- Department of Psychology, San Diego State University, San Diego, California
| | - Yu Kuei Lin
- Division of Metabolism, Endocrinology and Diabetes, University of Michigan, Ann Arbor, Michigan
| | - Mary Ellen Vajravelu
- Division of Pediatric Endocrinology, Diabetes, and Metabolism and Center for Pediatric Research in Obesity and Metabolism, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania
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Courtney A, Smith D, Forde H. Real-world outcomes of continuous glucose monitoring in adults with diabetes mellitus attending an Irish tertiary hospital. Ir J Med Sci 2023; 192:2763-2768. [PMID: 36940009 PMCID: PMC10025786 DOI: 10.1007/s11845-023-03322-9] [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] [Received: 09/19/2022] [Accepted: 02/15/2023] [Indexed: 03/21/2023]
Abstract
BACKGROUNDS AND AIMS The American Diabetes Association/European Association for the Study of Diabetes recently recommend the preferential use of continuous glucose monitoring(CGM) over self-monitoring of blood glucose for the management of type 1 diabetes (T1DM). For most adults with T1DM, the recommended target time in range is > 70% with < 4% time below range. In Ireland, CGM use has become increasingly popular since 2021. We aimed to audit adult CGM use and analyse CGM metrics in our cohort of adults with diabetes attending a tertiary diabetes centre. METHODS People with diabetes who were using DEXCOM G6 CGM devices, and sharing their data with the healthcare team on the DEXCOM CLARITY for healthcare professionals platform were included in the audit. Clinical information, glycated haemoglobin (HbA1c) and CGM metrics were gathered retrospectively from medical records and the DEXCOM CLARITY platform. RESULTS Data were available for 119 CGM users, 96.9% with T1DM, median age 36 years (IQR = 20) and median diabetes duration 17 years (IQR = 20). Fifty-three per cent of the cohort was male. Mean time in range was 56.2% (SD = 19.2) and mean time below range was 2.3% (SD = 2.6). Mean HbA1c in CGM users was 56.7 mmol/mol (SD = 13.1). This represented a decrease of 6.7 mmol/mol compared to the last HbA1c measurements available pre-commencement of CGM (p ≤ 0.0001, CI 4.4-8.9). The percentage of people in this cohort with a HbA1c < 53 mmol/mol was 40.6% (n = 39/96), compared to 17.5% (n = 18/103) pre-commencement of CGM. CONCLUSIONS Our study highlights the challenges in optimising the use of CGM. Our team aims to focus on providing additional education to CGM users, more frequent touch-base virtual reviews and increasing access to hybrid closed-loop insulin pump therapy.
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Affiliation(s)
- Aoife Courtney
- Department of Endocrinology and Diabetes Mellitus, Beaumont Hospital/RCSI Medical School, Dublin, Ireland.
| | - Diarmuid Smith
- Department of Endocrinology and Diabetes Mellitus, Beaumont Hospital/RCSI Medical School, Dublin, Ireland
| | - Hannah Forde
- Department of Endocrinology and Diabetes Mellitus, Beaumont Hospital/RCSI Medical School, Dublin, Ireland
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Tanenbaum ML, Commissariat PV. Experience with burdens of diabetes device use that affect uptake and optimal use in people with type 1 diabetes. Endocr Connect 2023; 12:e230193. [PMID: 37522857 PMCID: PMC10503226 DOI: 10.1530/ec-23-0193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Accepted: 07/31/2023] [Indexed: 08/01/2023]
Abstract
Diabetes technology continues to advance, with more individuals with type 1 diabetes (T1D) adopting insulin pumps, continuous glucose monitoring (CGM), and automated insulin delivery (AID) systems that integrate real-time glucose data with an algorithm to assist with insulin dosing decisions. These technologies are linked with benefits to glycemic outcomes (e.g. increased time in target range), diabetes management behaviors, and quality of life. However, current devices and systems are not without barriers and hassles for the user. The intent of this review is to describe the personal challenges and reactions that users experience when interacting with current diabetes technologies, which can affect their acceptance and motivation to engage with their devices. This review will discuss user experiences and strategies to address three main areas: (i) the emotional burden of utilizing a wearable device; (ii) the perceived and experienced negative social consequences of device use; and (iii) the practical challenges of wearing devices.
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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
| | - Persis V Commissariat
- Section on Clinical, Behavioral, and Outcomes Research, Joslin Diabetes Center, Boston, Massachusetts, USA
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Kim YI, Choi Y, Park J. The role of continuous glucose monitoring in physical activity and nutrition management: perspectives on present and possible uses. Phys Act Nutr 2023; 27:44-51. [PMID: 37946446 PMCID: PMC10636508 DOI: 10.20463/pan.2023.0028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 09/27/2023] [Accepted: 09/28/2023] [Indexed: 11/12/2023] Open
Abstract
PURPOSE Continuous glucose monitoring (CGM) is on the rise as the prevalence of obesity and diabetes increases. This review aimed to explore the use of CGM and its potential novel applications in physical activity and nutrition management. METHODS We searched PubMed, Web of Science, and Wiley Online Library databases using the keywords 'continuous glucose monitor,' 'nutrition,' 'physical activity,' and 'numerical modeling.' RESULTS Continuous blood glucose measurement is useful for individuals with obesity and diabetes. Long-term blood glucose data allow for personalized planning of nutritional composition, meal timing, and physical activity type and intensity, as well as help prevent hypoglycemia and hyperglycemia. Thus, understanding the limitations of CGM is important for its effective use. CONCLUSION CGM systems are being increasingly used to monitor and identify appropriate blood glucose controlling interventions. Blood glucose level is influenced by various factors such as nutrient composition, meal timing, physical activity, circadian rhythm, and cortisol levels. Numerical modeling can be used to analyze the complex relationship between stress, sleep, nutrition, and physical activity, which affect blood glucose levels. In future, blood glucose, sleep, and stress data will be integrated to predict appropriate lifestyle levels for blood glucose management. This integrated approach improves glucose control and overall wellbeing, potentially reducing societal costs.
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Affiliation(s)
- Young-Im Kim
- Department of Physical Education, Korea University, Republic of Korea
| | - Youngju Choi
- Institute of Specialized Teaching and Research, Inha University, Republic of Korea
| | - Jonghoon Park
- Department of Physical Education, Korea University, Republic of Korea
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Hurvitz N, Ilan Y. The Constrained-Disorder Principle Assists in Overcoming Significant Challenges in Digital Health: Moving from "Nice to Have" to Mandatory Systems. Clin Pract 2023; 13:994-1014. [PMID: 37623270 PMCID: PMC10453547 DOI: 10.3390/clinpract13040089] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 08/16/2023] [Accepted: 08/18/2023] [Indexed: 08/26/2023] Open
Abstract
The success of artificial intelligence depends on whether it can penetrate the boundaries of evidence-based medicine, the lack of policies, and the resistance of medical professionals to its use. The failure of digital health to meet expectations requires rethinking some of the challenges faced. We discuss some of the most significant challenges faced by patients, physicians, payers, pharmaceutical companies, and health systems in the digital world. The goal of healthcare systems is to improve outcomes. Assisting in diagnosing, collecting data, and simplifying processes is a "nice to have" tool, but it is not essential. Many of these systems have yet to be shown to improve outcomes. Current outcome-based expectations and economic constraints make "nice to have," "assists," and "ease processes" insufficient. Complex biological systems are defined by their inherent disorder, bounded by dynamic boundaries, as described by the constrained disorder principle (CDP). It provides a platform for correcting systems' malfunctions by regulating their degree of variability. A CDP-based second-generation artificial intelligence system provides solutions to some challenges digital health faces. Therapeutic interventions are held to improve outcomes with these systems. In addition to improving clinically meaningful endpoints, CDP-based second-generation algorithms ensure patient and physician engagement and reduce the health system's costs.
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Affiliation(s)
| | - Yaron Ilan
- Hadassah Medical Center, Department of Medicine, Faculty of Medicine, Hebrew University, POB 1200, Jerusalem IL91120, Israel;
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Prasetyawati AE, Probandari A, Claramita M, Julia M. What Are the Various Comprehensive Treatment Models to Improve Self-Efficacy and Self-Management in Adolescents with Diabetes Mellitus? A Scoping Review. IRANIAN JOURNAL OF PUBLIC HEALTH 2023; 52:1320-1333. [PMID: 37593519 PMCID: PMC10430395 DOI: 10.18502/ijph.v52i7.13234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 05/10/2023] [Indexed: 08/19/2023]
Abstract
Background This review aimed to synthesize intervention models involving the role of adolescent and family support as part of comprehensive care to improve self-efficacy and self-management among adolescents with Diabetes Mellitus (DM). Methods A review was conducted to conform to Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) standards. We searched PubMed, Research Gate, Science Direct, Cochrane Library databases, and grey literature. We included articles exploring family intervention models on improving self-efficacy and self-management among adolescents with DM, published from January 1, 2009, to June 30, 2022, and in English. Articles were declared eligible, reviewed critically, and then synthesized narratively. Results We identified 487 abstracts and title records from the initial search and excluded 409 irrelevant studies. Sixty-six full-text articles were screened, and nine were included in the synthesis. Five articles presented findings from using models focusing on child and adolescent intervention, while in the remaining four articles, the intervention models involved adolescents and their caregivers or parents. Only two models provide comprehensive care that requires collaboration among healthcare providers, patients, and families. Adolescent self-efficacy and self-management schemes as intermediary variables are closely related to everything that can influence health behavior, metabolic control, and quality of life for adolescents, which requires support from a multidisciplinary collaborative team. Conclusion Excellent comprehensive care team collaboration involving family support is essential to increase the self-efficacy and self-management of adolescents with DM.
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Affiliation(s)
- Arsita Eka Prasetyawati
- Faculty of Medicine, Public Health and Nursing Universitas Gadjah Mada, Yogyakarta, Indonesia
- Department of Public Health, Faculty of Medicine, Universitas Sebelas Maret, Surakarta, Indonesia
| | - Ari Probandari
- Department of Public Health, Faculty of Medicine, Universitas Sebelas Maret, Surakarta, Indonesia
| | - Mora Claramita
- Department of Medical Education and Bioethics and Department of Family & Community Medicine, Faculty of Medicine, Public Health and Nursing Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Madarina Julia
- Department of Child Health, Faculty of Medicine, Public Health and Nursing Universitas Gadjah Mada, Yogyakarta, Indonesia
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Lin YK, Agni A, Chuisano S, Fetters MD, Funnell M, Pop-Busui R, DeJonckheere MJ. Patient-Reported Usefulness and Challenges in Using Hypoglycemia-Informing Features of Continuous Glucose Monitors to Manage Hypoglycemia. Sci Diabetes Self Manag Care 2023; 49:229-238. [PMID: 37086168 PMCID: PMC10960636 DOI: 10.1177/26350106231168859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/23/2023]
Abstract
PURPOSE The purpose of this study series, which involves a questionnaire survey and qualitative interviews, was to (a) evaluate patient-reported usefulness of continuous glucose monitor (CGM) hypoglycemia-informing features and (b) identify challenges in using these features (ie, CGM glucose numbers, trend arrows, trend graphs, and hypoglycemia alarms) during hypoglycemia in adults with type 1 diabetes (T1DM). METHODS A cross-sectional questionnaire survey study was conducted with adults who have T1DM and were using CGMs to assess the perceived usefulness of hypoglycemia-informing features. A semistructured interview study with T1DM CGM-using adults and inductive thematic analysis were subsequently performed to identify challenges in using CGM hypoglycemia-informing features to manage hypoglycemia. RESULTS In the survey study (N = 252), the CGM glucose numbers, trend arrows, trend graphs, and hypoglycemia alarms were found to be very useful by 79%, 70%, 43%, and 64% of participants, respectively. Several challenges in using these features to manage hypoglycemia were identified in the qualitative study (N = 23): (1) hypoglycemia information not fully reliable,; (2) unpredictability of future blood glucose levels, (3) lack of awareness about how information can be used, and (4) disruptions associated with information. CONCLUSIONS Although the majority of T1DM adults found their CGMs' hypoglycemia-informing features helpful, challenges in optimally using these features persisted. Targeted knowledge and behavioral interventions could improve CGM use to reduce hypoglycemia.
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Affiliation(s)
- Yu Kuei Lin
- Division of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan
| | - Annika Agni
- Department of Family Medicine, University of Michigan Medical School, Ann Arbor, Michigan
| | - Samantha Chuisano
- Department of Family Medicine, University of Michigan Medical School, Ann Arbor, Michigan
| | - Michael D Fetters
- Department of Family Medicine, University of Michigan Medical School, Ann Arbor, Michigan
- Mixed Methods Program, University of Michigan Medical School, Ann Arbor, Michigan
| | - Martha Funnell
- Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, Michigan
| | - Rodica Pop-Busui
- Division of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan
| | - Melissa J DeJonckheere
- Department of Family Medicine, University of Michigan Medical School, Ann Arbor, Michigan
- Mixed Methods Program, University of Michigan Medical School, Ann Arbor, Michigan
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Lin YK, Agni A, Chuisano S, de Zoysa N, Fetters M, Amiel SA, Pop-Busui R, DeJonckheere M. 'You have to use everything and come to some equilibrium': a qualitative study on hypoglycemia self-management in users of continuous glucose monitor with diverse hypoglycemia experiences. BMJ Open Diabetes Res Care 2023; 11:e003415. [PMID: 37349107 PMCID: PMC10314535 DOI: 10.1136/bmjdrc-2023-003415] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 06/08/2023] [Indexed: 06/24/2023] Open
Abstract
INTRODUCTION Although continuous glucose monitoring systems (CGMs) can help reduce hypoglycemia, about one-quarter of people with type 1 diabetes (T1D) who use CGMs still either spend at least 1% of the time with dangerously low blood glucose or develop severe hypoglycemia. This study explored experiences around hypoglycemia self-management in people who are living with T1D and using CGMs to identify factors contributing to hypoglycemia development. RESEARCH DESIGN AND METHODS Purposive sampling and semistructured interviews with 28 respondents with T1D and using CGMs were conducted to explore experiences around hypoglycemic episodes and hypoglycemia self-management during CGM use. Open coding and thematic analysis were employed to identify emergent themes related to hypoglycemia experiences. RESULTS About one-third of respondents each respectively spent 0%, 0.1%-0.9% and ≥1% of time in level 2 hypoglycemia; 39% had impaired awareness of hypoglycemia and 32% had severe hypoglycemia in the past 6 months. Four themes were generated: (1) prioritizing symptoms over CGM data (subthemes: hypoglycemia symptoms for confirming hypoglycemia and prompting management actions; minimal management actions without hypoglycemia symptoms); (2) distraction from the demands of daily life; (3) concerns about hypoglycemia management choices (subthemes: fear of rebound hyperglycemia; other health consequences related to sugary food consumption; aversions to treatment foods and treatment food consumption); and (4) social influences on management choices (subthemes: positively perceived social support and inclusion; unwanted attention to oneself or concerns about inconveniencing others; social stigma and criticism related to hypoglycemia and CGM use). CONCLUSIONS Despite using CGMs, people with T1D can face a complex biopsychosocial process of managing hypoglycemia. Interventions for addressing psychosocial and behavioral barriers are needed to improve hypoglycemia self-management in those who continue to face challenges in minimizing hypoglycemia while using CGMs.
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Affiliation(s)
- Yu Kuei Lin
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Annika Agni
- Department of Family Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Samantha Chuisano
- Department of Family Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Nicole de Zoysa
- Department of Diabetes, King's College Hospital NHS Foundation Trust, London, UK
| | - Michael Fetters
- Department of Family Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | | | - Rodica Pop-Busui
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
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14
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de Gooijer FJ, Lasschuijt M, Wit RF, Feskens EJM, Brouwer-Brolsma EM, Camps G. Dietary Behavior Assessments in Children-A Mixed-Method Research Exploring the Perspective of Pediatric Dieticians on Innovative Technologies. Curr Dev Nutr 2023; 7:100091. [PMID: 37213716 PMCID: PMC10196961 DOI: 10.1016/j.cdnut.2023.100091] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 03/21/2023] [Accepted: 04/21/2023] [Indexed: 05/23/2023] Open
Abstract
Background Assessing dietary intake and eating behavior in children is challenging, owing to children's undeveloped food knowledge and perception of portion sizes. Additionally, caregivers cannot always provide complete surrogate information. Consequently, validated dietary behavior assessment methods for children are limited, but technological innovations offer opportunities for the development of new tools. One of the first steps in the developmental process of a newly developed pediatric dietary assessment tool includes an alignment of the needs and preferences of pediatric dieticians (PDs) as potential users. Objectives To explore opinions of Dutch PDs about traditional dietary behavior assessment methods for children and potential technological innovations to replace or support traditional methods. Methods Ten PDs participated in semistructured interviews (total of 7.5 h) based on 2 theoretical frameworks, and data saturation was reached after the seventh interview. Interview transcripts were inductively coded in an iterative process, and overarching themes and domains were identified. Interview data were then used as input for an extensive online survey completed by 31 PDs who were not involved in the initial interview rounds. Results PDs discussed their perspective on dietary behavior assessments in 4 domains: traditional methods, technological methods, future methods, and external influences on these methods. Generally, PDs felt that traditional methods supported them in reaching their desired goals. However, the time needed to obtain a comprehensive overview of dietary intake behavior and the reliability of conventional methods were mentioned as limitations. For future technologies, PDs mention the ease of use and engaging in children as opportunities. Conclusions PDs have a positive attitude toward the use of technology for dietary behavior assessments. Further development of assessment technologies should be tailored to the needs of children in different care situations and age categories to increase its usability among children, their caregivers, and dietician. Curr Dev Nutr 2023;xx:xx.
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Affiliation(s)
- Femke J. de Gooijer
- Division of Human Nutrition and Health, Department Agrotechnology and Food Sciences, Wageningen University and Research, Wageningen, The Netherlands
- OnePlanet Research Centre, Wageningen, The Netherlands
- Corresponding author.
| | - Marlou Lasschuijt
- Division of Human Nutrition and Health, Department Agrotechnology and Food Sciences, Wageningen University and Research, Wageningen, The Netherlands
| | - Renate F. Wit
- Division of Human Nutrition and Health, Department Agrotechnology and Food Sciences, Wageningen University and Research, Wageningen, The Netherlands
| | - Edith JM. Feskens
- Division of Human Nutrition and Health, Department Agrotechnology and Food Sciences, Wageningen University and Research, Wageningen, The Netherlands
| | - Elske M. Brouwer-Brolsma
- Division of Human Nutrition and Health, Department Agrotechnology and Food Sciences, Wageningen University and Research, Wageningen, The Netherlands
| | - Guido Camps
- Division of Human Nutrition and Health, Department Agrotechnology and Food Sciences, Wageningen University and Research, Wageningen, The Netherlands
- OnePlanet Research Centre, Wageningen, The Netherlands
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15
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Puckett C, Wong JC, Talbot S, Min HJ, Chokr N. Institutional role conflict in the digital age: The case of diabetes management at school. SSM. QUALITATIVE RESEARCH IN HEALTH 2023; 3:100215. [PMID: 37475882 PMCID: PMC10357960 DOI: 10.1016/j.ssmqr.2022.100215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 07/22/2023]
Abstract
As the prevalence of pediatric diabetes grows and new technologies to manage diabetes emerge, there is increasing concern about consistency in health management across institutional settings, particularly in schools. While much is known about barriers at school, there are still gaps in understanding the institutional dynamics that shape health management in this setting. Using focus groups with 19 youth with type 1 diabetes (T1D) and applying institutional role theory, we find healthcare providers' recommendations conflict with school rules and norms, making it difficult to enact both the "sick role" and the "student role." These conflicts elicit negative responses from teachers and peers and stigmatize youth with T1D in school. Caregiver involvement often heightens rather than ameliorates conflict and teachers do not intervene in effective ways. Ultimately, youth must manage conflicts and stigma. By reframing challenges in health management as institutional role conflict, this paper contributes to sociological research by highlighting the importance of institutional roles, especially beyond healthcare. More broadly, the study suggests health research and policy should investigate how to better align institutional roles-rather than relying on youth and their families-to support health management of chronic illnesses across institutional settings.
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Affiliation(s)
- Cassidy Puckett
- Emory University, Department of Sociology, 1555 Tarbutton Hall, Room 225, Atlanta, GA, 30322, USA
| | - Jenise C. Wong
- University of California San Francisco, Division of Endocrinology, UCSF Benioff Children’s Hospital, USA
| | - Sloan Talbot
- Emory University, Department of Sociology, 1555 Tarbutton Hall, Room 225, Atlanta, GA, 30322, USA
| | - Hyojin Jennifer Min
- University of California San Francisco, Division of Endocrinology, UCSF Benioff Children’s Hospital, USA
| | - Nora Chokr
- University of California San Francisco, Division of Endocrinology, UCSF Benioff Children’s Hospital, USA
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16
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Lawton J, Rankin D, Hartnell S, Lee T, Dover AR, Reynolds RM, Hovorka R, Murphy HR, Hart RI. Healthcare professionals' views about how pregnant women can benefit from using a closed-loop system: Qualitative study. Diabet Med 2023; 40:e15072. [PMID: 36807582 PMCID: PMC10947358 DOI: 10.1111/dme.15072] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 02/02/2023] [Accepted: 02/14/2023] [Indexed: 02/20/2023]
Abstract
BACKGROUND Interest is growing in how closed-loop systems can support attainment of within-target glucose levels amongst pregnant women with type 1 diabetes. We explored healthcare professionals' views about how, and why, pregnant women benefitted from using the CamAPS FX system during the AiDAPT trial. METHODS We interviewed 19 healthcare professionals who supported women using closed-loop during the trial. Our analysis focused on identifying descriptive and analytical themes relevant to clinical practice. RESULTS Healthcare professionals highlighted clinical and quality-of-life benefits to using closed-loop in pregnancy; albeit, they attributed some of these to the continuous glucose monitoring component. They emphasised that the closed-loop was not a panacea and that, to gain maximum benefit, an effective collaboration between themselves, the woman and the closed-loop was needed. Optimal performance of the technology, as they further noted, also required women to interact with the system sufficiently, but not excessively; a requirement that they felt some women had found challenging. Even where healthcare professionals felt that this balance was not achieved, they suggested that women had still benefitted from using the system. Healthcare professionals reported difficulties predicting how specific women would engage with the technology. In light of their trial experiences, healthcare professionals favoured an inclusive approach to closed-loop rollout in routine clinical care. CONCLUSIONS Healthcare professionals recommended that closed-loop systems be offered to all pregnant women with type 1 diabetes in the future. Presenting closed-loop systems to pregnant women and healthcare teams as one pillar of a three-party collaboration may help promote optimal use.
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Affiliation(s)
- Julia Lawton
- Usher Institute, Medical School, University of EdinburghEdinburghUK
| | - David Rankin
- Usher Institute, Medical School, University of EdinburghEdinburghUK
| | - Sara Hartnell
- Cambridge University Hospitals NHS Foundation TrustCambridgeUK
| | - Tara Lee
- Norwich Medical SchoolNorwichUK
- Norfolk & Norwich University Hospital NHS Foundation TrustNorwichUK
| | - Anna R. Dover
- Edinburgh Centre for Endocrinology and Diabetes, Royal Infirmary of EdinburghEdinburghUK
| | - Rebecca M. Reynolds
- Edinburgh Centre for Endocrinology and Diabetes, Royal Infirmary of EdinburghEdinburghUK
- Centre for Cardiovascular ScienceUniversity of Edinburgh, Queen's Medical Research InstituteEdinburghUK
| | - Roman Hovorka
- Wellcome Trust‐MRC Institute of Metabolic Science, University of CambridgeCambridgeUK
- Department of PaediatricsUniversity of CambridgeCambridgeUK
| | - Helen R. Murphy
- Cambridge University Hospitals NHS Foundation TrustCambridgeUK
- Norwich Medical SchoolNorwichUK
- Norfolk & Norwich University Hospital NHS Foundation TrustNorwichUK
| | - Ruth I. Hart
- Usher Institute, Medical School, University of EdinburghEdinburghUK
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17
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Williams L, Deacon E, Van Rensburg E, Segal D. Continuous glucose monitoring empowers adolescents to take responsibility of diabetes management. Afr J Prim Health Care Fam Med 2023; 15:e1-e6. [PMID: 37042539 PMCID: PMC10157418 DOI: 10.4102/phcfm.v15i1.3879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 02/17/2023] [Accepted: 02/23/2023] [Indexed: 04/13/2023] Open
Abstract
BACKGROUND Managing diabetes is especially challenging for adolescents, and they often struggle to believe they can manage the condition. Illness perception has been widely associated with better diabetes management outcomes, but the influence of continuous glucose monitoring (CGM) on adolescents has been largely neglected. AIM The study aimed to explore the illness perception of a group of adolescents living with type 1 diabetes (T1D) using CGM. SETTING The study was conducted at a medical centre that provides diabetes care services to youth living with T1D in Parktown, South Africa. METHODS A qualitative research approach using semi-structured online interviews was used to gather data that was thematically analysed. RESULTS Themes emerging from the data confirmed that CGM creates a sense of control over diabetes management as blood glucose measures were more visible. A sense of normalcy was established as CGM influences a new routine and a way of life, integrating diabetes into a young person's identity. Despite the users' awareness of being different due to diabetes management, CGM assisted in creating a sense of belonging, contributing to developing a better quality of life. CONCLUSION Findings of this study support the use of CGM as a means of empowering adolescents struggling with diabetes management to achieve better treatment outcomes. The important role of illness perception in facilitating this change was also evident.Contribution: By listening to the adolescent's voice, CGM was identified as a possible intervention to empower adolescents to improve diabetes management.
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Affiliation(s)
- Letitia Williams
- Compres Research Focus Area, Faculty of Health Science, North-West University, Potchefstroom.
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18
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Briganti G. [Artificial intelligence: An introduction for clinicians]. Rev Mal Respir 2023; 40:308-313. [PMID: 36894376 DOI: 10.1016/j.rmr.2023.02.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 02/15/2023] [Indexed: 03/09/2023]
Abstract
Artificial intelligence (AI) is a growing field that has the potential to transform many areas of society, including healthcare. For a physician, it is important to understand the basics of AI and its potential applications in medicine. AI refers to the development of computer systems capable of performing tasks that typically require human intelligence, such as pattern recognition, learning from data, and decision-making. This technology can be used to analyze large amounts of patient data and to identify trends and patterns that can be difficult for human physicians to detect. This can help doctors to manage their workload more efficiently and provide better care for their patients. All in all, AI has the potential to dramatically improve the practice of medicine and improve patient outcomes. In this work, the definition and the key principles of AI are outlined, with particular focus on the field of machine learning, which has been undergoing considerable development in medicine, providing clinicians with in-depth understanding of the principles underlying the new technologies ensuring improved health care.
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Affiliation(s)
- G Briganti
- Chaire d'intelligence artificielle et médecine digitale, service de neurosciences, faculté de médecine, université de Mons, avenue du Champs de Mars, 6, 7000 Mons, Belgique.
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19
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Abdolkhani R, Gray K, Borda A, DeSouza R. Recommendations for the Quality Management of Patient-Generated Health Data in Remote Patient Monitoring: Mixed Methods Study. JMIR Mhealth Uhealth 2023; 11:e35917. [PMID: 36826986 PMCID: PMC10007009 DOI: 10.2196/35917] [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: 12/23/2021] [Revised: 04/01/2022] [Accepted: 12/20/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Patient-generated health data (PGHD) collected from innovative wearables are enabling health care to shift to outside clinical settings through remote patient monitoring (RPM) initiatives. However, PGHD are collected continuously under the patient's responsibility in rapidly changing circumstances during the patient's daily life. This poses risks to the quality of PGHD and, in turn, reduces their trustworthiness and fitness for use in clinical practice. OBJECTIVE Using a sociotechnical health informatics lens, we developed a data quality management (DQM) guideline for PGHD captured from wearable devices used in RPM with the objective of investigating how DQM principles can be applied to ensure that PGHD can reliably inform clinical decision-making in RPM. METHODS First, clinicians, health information specialists, and MedTech industry representatives with experience in RPM were interviewed to identify DQM challenges. Second, these stakeholder groups were joined by patient representatives in a workshop to co-design potential solutions to meet the expectations of all the stakeholders. Third, the findings, along with the literature and policy review results, were interpreted to construct a guideline. Finally, we validated the guideline through a Delphi survey of international health informatics and health information management experts. RESULTS The guideline constructed in this study comprised 19 recommendations across 7 aspects of DQM. It explicitly addressed the needs of patients and clinicians but implied that there must be collaboration among all stakeholders to meet these needs. CONCLUSIONS The increasing proliferation of PGHD from wearables in RPM requires a systematic approach to DQM so that these data can be reliably used in clinical care. The developed guideline is an important next step toward safe RPM.
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Affiliation(s)
- Robab Abdolkhani
- Centre for Digital Transformation of Health, The University of Melbourne, Melbourne, Australia.,Department of General Practice, Melbourne Medical School, The University of Melbourne, Melbourne, Australia
| | - Kathleen Gray
- Centre for Digital Transformation of Health, The University of Melbourne, Melbourne, Australia
| | - Ann Borda
- Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia
| | - Ruth DeSouza
- School of Art, Royal Melbourne Institue of Technology University, Melbourne, Australia
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20
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McCall AL, Lieb DC, Gianchandani R, MacMaster H, Maynard GA, Murad MH, Seaquist E, Wolfsdorf JI, Wright RF, Wiercioch W. Management of Individuals With Diabetes at High Risk for Hypoglycemia: An Endocrine Society Clinical Practice Guideline. J Clin Endocrinol Metab 2023; 108:529-562. [PMID: 36477488 DOI: 10.1210/clinem/dgac596] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Indexed: 12/12/2022]
Abstract
CONTEXT Hypoglycemia in people with diabetes is common, especially in those taking medications such as insulin and sulfonylureas (SU) that place them at higher risk. Hypoglycemia is associated with distress in those with diabetes and their families, medication nonadherence, and disruption of life and work, and it leads to costly emergency department visits and hospitalizations, morbidity, and mortality. OBJECTIVE To review and update the diabetes-specific parts of the 2009 Evaluation and Management of Adult Hypoglycemic Disorders: Endocrine Society Clinical Practice Guideline and to address developing issues surrounding hypoglycemia in both adults and children living with diabetes. The overriding objectives are to reduce and prevent hypoglycemia. METHODS A multidisciplinary panel of clinician experts, together with a patient representative, and methodologists with expertise in evidence synthesis and guideline development, identified and prioritized 10 clinical questions related to hypoglycemia in people living with diabetes. Systematic reviews were conducted to address all the questions. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology was used to assess the certainty of evidence and make recommendations. RESULTS The panel agreed on 10 questions specific to hypoglycemia risk and prevention in people with diabetes for which 10 recommendations were made. The guideline includes conditional recommendations for use of real-time continuous glucose monitoring (CGM) and algorithm-driven insulin pumps in people with type 1 diabetes (T1D), use of CGM for outpatients with type 2 diabetes at high risk for hypoglycemia, use of long-acting and rapid-acting insulin analogs, and initiation of and continuation of CGM for select inpatient populations at high risk for hypoglycemia. Strong recommendations were made for structured diabetes education programs for those at high risk for hypoglycemia, use of glucagon preparations that do not require reconstitution vs those that do for managing severe outpatient hypoglycemia for adults and children, use of real-time CGM for individuals with T1D receiving multiple daily injections, and the use of inpatient glycemic management programs leveraging electronic health record data to reduce the risk of hypoglycemia. CONCLUSION The recommendations are based on the consideration of critical outcomes as well as implementation factors such as feasibility and values and preferences of people with diabetes. These recommendations can be used to inform clinical practice and health care system improvement for this important complication for people living with diabetes.
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Affiliation(s)
- Anthony L McCall
- University of Virginia Medical School, Department of Medicine, Division of Endocrinology and Metabolism, Charlottesville, VA 22901, USA
| | - David C Lieb
- Eastern Virginia Medical School, Division of Endocrine and Metabolic Disorders, Department of Medicine, Norfolk, VA 23510, USA
| | | | | | | | - M Hassan Murad
- Mayo Clinic Evidence-Based Practice Center, Rochester, MN 55905, USA
| | - Elizabeth Seaquist
- Diabetes Center and the Division of Endocrinology & Metabolism, Minneapolis, MN 55455, USA
| | - Joseph I Wolfsdorf
- Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | | | - Wojtek Wiercioch
- McMaster University GRADE Centre and Michael G. DeGroote Cochrane Canada Centre Department of Health Research Methods, Evidence, and Impact, Hamilton, ON, L8S 4L8, Canada
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21
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Effectiveness of Non-Contact Dietary Coaching in Adults with Diabetes or Prediabetes Using a Continuous Glucose Monitoring Device: A Randomized Controlled Trial. Healthcare (Basel) 2023; 11:healthcare11020252. [PMID: 36673620 PMCID: PMC9859545 DOI: 10.3390/healthcare11020252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Revised: 01/10/2023] [Accepted: 01/11/2023] [Indexed: 01/15/2023] Open
Abstract
We aimed to evaluate the effectiveness of dietary coaching and continuous glucose monitoring (CGM) in patients with diabetes or prediabetes to improve their behavioral skills and health outcomes. A randomized controlled study with pre- and post-testing was conducted. Data were collected between November 2020 and April 2021. Forty-five patients with diabetes or prediabetes who used a CGM device were enrolled and analyzed. Dietary education, individual coaching and group coaching were provided to participants in the experimental group for 4 weeks. After the intervention, the thigh circumference in men significantly differed between the two groups (z = -2.02, p = 0.044). For women, participants in the experimental group showed greater improvement in eating self-efficacy compared with those in the control group (z = -2.66, p = 0.008). Insomnia was negatively related to the change in eating self-efficacy (r = -0.35, p = 0.018) and increase in thigh circumference (r = -0.35, p = 0.017). Even if used within a short intervention period, non-contact dietary coaching programs can help enhance behavioral skills, such as eating self-efficacy and health outcomes, such as thigh circumference. Moreover, the changed variables can indirectly improve other health outcomes in patients with diabetes or prediabetes.
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22
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Vásquez-Muñoz M, Arce-Álvarez A, Álvarez C, Ramírez-Campillo R, Crespo FA, Arias D, Salazar-Ardiles C, Izquierdo M, Andrade DC. Dynamic circadian fluctuations of glycemia in patients with type 2 diabetes mellitus. Biol Res 2022; 55:37. [PMID: 36461078 PMCID: PMC9716682 DOI: 10.1186/s40659-022-00406-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 11/22/2022] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND Diabetes mellitus (DM) has glucose variability that is of such relevance that the appearance of vascular complications in patients with DM has been attributed to hyperglycemic and dysglycemic events. It is known that T1D patients mainly have glycemic variability with a specific oscillatory pattern with specific circadian characteristics for each patient. However, it has not yet been determined whether an oscillation pattern represents the variability of glycemic in T2D. This is why our objective is to determine the characteristics of glycemic oscillations in T2D and generate a robust predictive model. RESULTS Showed that glycosylated hemoglobin, glycemia, and body mass index were all higher in patients with T2D than in controls (all p < 0.05). In addition, time in hyperglycemia and euglycemia was markedly higher and lower in the T2D group (p < 0.05), without significant differences for time in hypoglycemia. Standard deviation, coefficient of variation, and total power of glycemia were significantly higher in the T2D group than Control group (all p < 0.05). The oscillatory patterns were significantly different between groups (p = 0.032): the control group was mainly distributed at 2-3 and 6 days, whereas the T2D group showed a more homogeneous distribution across 2-3-to-6 days. CONCLUSIONS The predictive model of glycemia showed that it is possible to accurately predict hyper- and hypoglycemia events. Thus, T2D patients exhibit specific oscillatory patterns of glycemic control, which are possible to predict. These findings may help to improve the treatment of DM by considering the individual oscillatory patterns of patients.
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Affiliation(s)
- Manuel Vásquez-Muñoz
- grid.412882.50000 0001 0494 535XExercise Applied Physiology Laboratory, Centro de Investigación en Fisiología Y Medicina de Altura, Departamento Biomedico, Facultad de Ciencias de La Salud, Universidad de Antofagasta, Antofagasta, Chile ,grid.482859.a0000 0004 0628 7639Clínica Santa María, Santiago, Chile ,Navarrabiomed, Hospital Universitario de Navarra (UHN), Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Navarra Spain
| | - Alexis Arce-Álvarez
- grid.441800.90000 0001 2227 4350Escuela de Kinesiología, Facultad de Salud, Universidad Católica Silva Henríquez, Santiago, Chile
| | - Cristian Álvarez
- grid.412848.30000 0001 2156 804XExercise and Rehabilitation Sciences Laboratory, School of Physical Therapy, Faculty of RehabilitationSciences, Universidad Andres Bello, Santiago, Chile
| | - Rodrigo Ramírez-Campillo
- grid.412848.30000 0001 2156 804XExercise and Rehabilitation Sciences Laboratory, School of Physical Therapy, Faculty of RehabilitationSciences, Universidad Andres Bello, Santiago, Chile
| | - Fernando A. Crespo
- grid.441791.e0000 0001 2179 1719Departamento de Gestion Y Negocios, Facultad de Economía Y Negocios, Universidad Alberto Hurtado, Santiago, Chile
| | - Dayana Arias
- grid.412882.50000 0001 0494 535XDepartamento de Biotecnología, Facultad de Ciencias del Mar Y Recursos Biológicos, Universidad de Antofagasta, Antofagasta, Chile
| | - Camila Salazar-Ardiles
- grid.412882.50000 0001 0494 535XExercise Applied Physiology Laboratory, Centro de Investigación en Fisiología Y Medicina de Altura, Departamento Biomedico, Facultad de Ciencias de La Salud, Universidad de Antofagasta, Antofagasta, Chile ,Navarrabiomed, Hospital Universitario de Navarra (UHN), Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Navarra Spain
| | - Mikel Izquierdo
- Navarrabiomed, Hospital Universitario de Navarra (UHN), Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Navarra Spain ,grid.413448.e0000 0000 9314 1427CIBER of Frailty and Healthy Aging (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain
| | - David C. Andrade
- grid.412882.50000 0001 0494 535XExercise Applied Physiology Laboratory, Centro de Investigación en Fisiología Y Medicina de Altura, Departamento Biomedico, Facultad de Ciencias de La Salud, Universidad de Antofagasta, Antofagasta, Chile
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23
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de Wit M, Gajewska KA, Goethals ER, McDarby V, Zhao X, Hapunda G, Delamater AM, DiMeglio LA. ISPAD Clinical Practice Consensus Guidelines 2022: Psychological care of children, adolescents and young adults with diabetes. Pediatr Diabetes 2022; 23:1373-1389. [PMID: 36464988 PMCID: PMC10107478 DOI: 10.1111/pedi.13428] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 09/30/2022] [Indexed: 12/12/2022] Open
Affiliation(s)
- Maartje de Wit
- Amsterdam UMC, Vrije Universiteit Amsterdam, Medical Psychology, Amsterdam Public Health, Amsterdam, Netherlands
| | - Katarzyna A Gajewska
- Diabetes Ireland, Dublin, Ireland.,School of Public Health, University College Cork, Cork, Ireland
| | | | | | - Xiaolei Zhao
- The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Given Hapunda
- Department of Psychology, University of Zambia, Lusaka, Zambia
| | - Alan M Delamater
- Department of Pediatrics, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Linda A DiMeglio
- Department of Pediatrics, University of Miami Miller School of Medicine, Miami, Florida, USA.,Department of Pediatrics, Division of Pediatric Endocrinology and Diabetology, Indiana University School of Medicine, Riley Hospital for Children, Indianapolis, Indiana, USA
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Rankin D, Kimbell B, Hovorka R, Lawton J. Adolescents' and their parents' experiences of using a closed-loop system to manage type 1 diabetes in everyday life: qualitative study. Chronic Illn 2022; 18:742-756. [PMID: 33472409 PMCID: PMC9643806 DOI: 10.1177/1742395320985924] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
OBJECTIVES Type 1 diabetes can have life-shattering consequences for adolescents and parents. A closed-loop system is a cutting-edge technology which automatically regulates glucose to reduce the burden of diabetes management. We explored adolescents' and parents' experiences of using this technology to understand how it affects their biographies and everyday lives. METHODS In-depth interviews with 18 adolescents newly diagnosed with type 1 diabetes and 21 parents after ≥12 months experience using closed-loop technology. Data were analysed thematically. RESULTS Participants reported very few disruptions to their lives when using a closed-loop. Reports of family conflict were minimal as the closed-loop enabled dietary flexibility and glucose levels to be checked effortlessly. Adolescents described doing 'normal' activities without worrying about high/low glucose, and parents reported allowing them to do so unsupervised because the closed-loop would regulate their glucose and keep them safe. Some adolescents expressed concerns about the visibility of components and, to avoid stigma, described curtailing activities such as swimming. Participants described how the closed-loop enabled adolescents to be in control of, or create distance from, diabetes. DISCUSSION The closed-loop has life-enhancing consequences for both adolescents and parents and helps to reduce the biographical disruption of type 1 diabetes in this age group.
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Affiliation(s)
- D Rankin
- Usher Institute, University of Edinburgh, Edinburgh, UK
| | - B Kimbell
- Usher Institute, University of Edinburgh, Edinburgh, UK
| | - R Hovorka
- Wellcome Trust - Medical Research Institute of Metabolic Science, University of Cambridge, Cambridge, UK.,Department of Paediatrics, University of Cambridge, Cambridge, UK
| | - J Lawton
- Usher Institute, University of Edinburgh, Edinburgh, UK
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Demidowich AP, Batty K, Zilbermint M. Instituting a Successful Discharge Plan for Patients With Type 2 Diabetes: Challenges and Solutions. Diabetes Spectr 2022; 35:440-451. [PMID: 36561646 PMCID: PMC9668725 DOI: 10.2337/dsi22-0013] [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: 11/16/2022]
Abstract
Achieving target inpatient glycemic management outcomes has been shown to influence important clinical outcomes such as hospital length of stay and readmission rates. However, arguably the most profound, lasting impact of inpatient diabetes management is achieved at the time of discharge-namely reconciling and prescribing the right medications and making referrals for follow-up. Discharge planning offers a unique opportunity to break through therapeutic inertia, offer diabetes self-management education, and institute an individualized treatment plan that prepares the patient for discharge and promotes self-care and engagement. However, the path to a successful discharge plan can be fraught with potential pitfalls for clinicians, including lack of knowledge and experience with newer diabetes medications, costs, concerns over insurance coverage, and lack of time and resources. This article presents an algorithm to assist clinicians in selecting discharge regimens that maximize benefits and reduce barriers to self-care for patients and a framework for creating an interdisciplinary hospital diabetes discharge program.
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Affiliation(s)
- Andrew P. Demidowich
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD
- Johns Hopkins Community Physicians at Howard County General Hospital, Division of Hospital Medicine, Johns Hopkins Medicine, Columbia, MD
| | - Kristine Batty
- Johns Hopkins Community Physicians at Howard County General Hospital, Division of Hospital Medicine, Johns Hopkins Medicine, Columbia, MD
| | - Mihail Zilbermint
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD
- Johns Hopkins Community Physicians at Suburban Hospital, Division of Hospital Medicine, Johns Hopkins Medicine, Bethesda, MD
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Hossain MZ, Daskalaki E, Brüstle A, Desborough J, Lueck CJ, Suominen H. The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review. BMC Med Inform Decis Mak 2022; 22:242. [PMID: 36109726 PMCID: PMC9476596 DOI: 10.1186/s12911-022-01985-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 09/02/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Multiple sclerosis (MS) is a neurological condition whose symptoms, severity, and progression over time vary enormously among individuals. Ideally, each person living with MS should be provided with an accurate prognosis at the time of diagnosis, precision in initial and subsequent treatment decisions, and improved timeliness in detecting the need to reassess treatment regimens. To manage these three components, discovering an accurate, objective measure of overall disease severity is essential. Machine learning (ML) algorithms can contribute to finding such a clinically useful biomarker of MS through their ability to search and analyze datasets about potential biomarkers at scale. Our aim was to conduct a systematic review to determine how, and in what way, ML has been applied to the study of MS biomarkers on data from sources other than magnetic resonance imaging.
Methods
Systematic searches through eight databases were conducted for literature published in 2014–2020 on MS and specified ML algorithms.
Results
Of the 1, 052 returned papers, 66 met the inclusion criteria. All included papers addressed developing classifiers for MS identification or measuring its progression, typically, using hold-out evaluation on subsets of fewer than 200 participants with MS. These classifiers focused on biomarkers of MS, ranging from those derived from omics and phenotypical data (34.5% clinical, 33.3% biological, 23.0% physiological, and 9.2% drug response). Algorithmic choices were dependent on both the amount of data available for supervised ML (91.5%; 49.2% classification and 42.3% regression) and the requirement to be able to justify the resulting decision-making principles in healthcare settings. Therefore, algorithms based on decision trees and support vector machines were commonly used, and the maximum average performance of 89.9% AUC was found in random forests comparing with other ML algorithms.
Conclusions
ML is applicable to determining how candidate biomarkers perform in the assessment of disease severity. However, applying ML research to develop decision aids to help clinicians optimize treatment strategies and analyze treatment responses in individual patients calls for creating appropriate data resources and shared experimental protocols. They should target proceeding from segregated classification of signals or natural language to both holistic analyses across data modalities and clinically-meaningful differentiation of disease.
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Lin R, Brown F, Ekinci EI. The ambulatory glucose profile and its interpretation. Med J Aust 2022; 217:295-298. [PMID: 35933685 PMCID: PMC9805111 DOI: 10.5694/mja2.51666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Affiliation(s)
| | | | - Elif I Ekinci
- Austin HealthMelbourneVIC,University of MelbourneMelbourneVIC
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Kang HS, Park HR, Kim CJ, Singh-Carlson S. Experiences of Using Wearable Continuous Glucose Monitors in Adults With Diabetes: A Qualitative Descriptive Study. Sci Diabetes Self Manag Care 2022; 48:362-371. [PMID: 35916341 DOI: 10.1177/26350106221116899] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
PURPOSE The purpose of the study was to understand the experiences of adults with diabetes wearing a continuous glucose monitor (CGM). METHODS This qualitative, descriptive study included 19 adults with type 1 diabetes or type 2 diabetes, who had used the FreeStyle Libre CGM for at least 4 weeks, from an outpatient clinic at a university-affiliated hospital in Korea. Data were collected through in-depth interviews and analyzed using an inductive content analysis approach. RESULTS The content analysis revealed 3 major themes-navigating glucose level fluctuations, reframing diabetes self-care and improving quality of life, and device improvement and service quality. Participants reported that CGMs offered convenient glucose level monitoring, allowed early response to rapid glucose changes, and facilitated effective patient-clinician communication. Participants expressed concerns about the financial burden and limited services, recommending improvements for devices, consumer services, and health insurance coverage. CONCLUSIONS Study findings indicated that using wearable CGMs could improve self-care and quality of life in adults with diabetes. Using CGMs could improve patients' understanding of how diabetes self-care management affects real-time glucose levels. Health care providers could support patients' self-care by using device data. Improvements in quality, services, and insurance coverage could increase user satisfaction and promote self-care.
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Affiliation(s)
- Hee Sun Kang
- Red Cross College of Nursing, Chung-Ang University, Seoul, South Korea
| | - Hyang Rang Park
- Department of Nursing, Hallym University Kangnam Sacred Heart Hospital, Seoul, Korea
| | - Chun-Ja Kim
- College of Nursing and Research Institute of Nursing Science, Ajou University, Suwon, South Korea
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Franceschi R, Scotton C, Leonardi L, Cauvin V, Maines E, Angriman M, Pertile R, Valent F, Soffiati M, Faraguna U. Impact of intermittently scanned continuous glucose monitoring with alarms on sleep and metabolic outcomes in children and adolescents with type 1 diabetes. Acta Diabetol 2022; 59:911-919. [PMID: 35397650 DOI: 10.1007/s00592-022-01882-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 03/13/2022] [Indexed: 11/01/2022]
Abstract
AIMS Data about sleep quality and quantity are not available in patients with type 1 diabetes (T1D) using intermittently scanned continuous glucose monitoring (isCGM). We questioned whether the isCGM with alarms could fragment sleep in patients and parents, compared to isCGM without alarms. METHODS A prospective, observational study including 47 child-adolescents with T1D who had experience with isCGM without alarms (Freestyle Libre 1-FSL1). They were asked to wear the isCGM with alarms (Freestyle Libre 2-FSL2) for 14 days. Patients enrolled and their caregiver (s), during a 14 day period with FSL1 and the following 14 days with FSL2, completed psychosocial and sleep-related questionnaires. Furthermore they wore an actigraph that was downloaded to a web platform and processed by the validated and certified algorithm "Dormi®." RESULTS By the switch to the alarmed FSL2 we found about a 5% increase in Time In Range (from 62.5 to 67.8%), a reduction in time spent in hypoglycemia, number of weekly hypoglycemic events, and coefficient of variation. We did not find significant differences in sleep parameters in patients and their parents; therefore, alarms did not worsen the duration and quality of sleep. A significant improvement in the Quality of Life was perceived by parents using FSL2. CONCLUSIONS Introduction of alarms in isCGM systems gives, in the short term, an improvement in metabolic control in terms of time in range and reduction in hypoglycemia, without worsening duration and quality of sleep, measured by actigraphy, in children-adolescent and their parents.
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Affiliation(s)
- Roberto Franceschi
- Pediatric Diabetology Unit, Pediatric Department, S. Chiara General Hospital, Largo Medaglie d'Oro, 9, 38122, Trento, Italy.
| | - Chiara Scotton
- Pediatric Diabetology Unit, Pediatric Department, S. Chiara General Hospital, Largo Medaglie d'Oro, 9, 38122, Trento, Italy
| | - Letizia Leonardi
- Pediatric Diabetology Unit, Pediatric Department, S. Chiara General Hospital, Largo Medaglie d'Oro, 9, 38122, Trento, Italy
| | - Vittoria Cauvin
- Pediatric Diabetology Unit, Pediatric Department, S. Chiara General Hospital, Largo Medaglie d'Oro, 9, 38122, Trento, Italy
| | - Evelina Maines
- Pediatric Diabetology Unit, Pediatric Department, S. Chiara General Hospital, Largo Medaglie d'Oro, 9, 38122, Trento, Italy
| | - Marco Angriman
- Health Management, General Hospital of Bolzano, Bolzano, Italy
| | - Riccardo Pertile
- Clinical and Evaluative Epidemiology Unit, Department of Governance, APSS, Trento, Italy
| | - Francesca Valent
- Clinical and Evaluative Epidemiology Unit, Department of Governance, APSS, Trento, Italy
| | - Massimo Soffiati
- Pediatric Diabetology Unit, Pediatric Department, S. Chiara General Hospital, Largo Medaglie d'Oro, 9, 38122, Trento, Italy
| | - Ugo Faraguna
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
- Department of Developmental Neuroscience, IRCSS Stella Maris Foundation, Pisa, Italy
- SleepActa Srl, A spinoff company of the University of Pisa, Pisa, Italy
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30
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Cuevas H, Heitkemper E, Haque B. Relationships Among Perception of Cognitive Function, Diabetes Self-Management, and Glucose Variability in Older Adults: A Mixed Methods Study. Res Gerontol Nurs 2022; 15:203-212. [PMID: 35708961 DOI: 10.3928/19404921-20220609-02] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
The aim of the current study was to explore relationships among perceived cognitive function, glucose variability, and self-management in older adults with type 2 diabetes mellitus (T2DM). A mixed methods design was used with data from: (a) questionnaires on perceived cognitive function and diabetes self-management; (b) continuous glucose monitoring (CGM) reports; and (c) semi-structured interviews. Thirty adults with T2DM (47% female; mean age = 68.5 [SD = 5.2] years) participated. Those who exercised more days per week had more stable glucose. Those who reported fewer days of diet adherence had more hypoglycemia. Participants who reported higher levels of memory dissatisfaction exhibited higher levels of glucose variability. Findings point to the potential of glucose variability as a target to reduce the effect of diabetes on cognitive function. Instruction in recognition of glucose patterns found via CGM can be integrated into self-management education to improve self-management and subsequent glucose control and cognitive function. [Research in Gerontological Nursing, xx(x), xx-xx.].
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31
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Crocket H, Elbashy MM, Kavanagh T, Styles S, Galland B, Haszard JJ, Wiltshire E, Jefferies C, de Bock MI, Tomlinson P, Jones S, Wheeler BJ. Parental experiences of short term supported use of a do-it-yourself continuous glucose monitor (DIYrtCGM): A qualitative study. Diabet Med 2022; 39:e14731. [PMID: 34687240 DOI: 10.1111/dme.14731] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 10/17/2021] [Accepted: 10/21/2021] [Indexed: 12/28/2022]
Abstract
AIMS To investigate the experiences of parents caring for young children with type 1 diabetes type 1 diabetes using a do-it-yourself continuous glucose monitor (DIYrtCGM) in a supported setting. METHODS Exit interviews were conducted with parents from 11 families at the end of the MiaoMiao study: a randomised cross-over trial focusing on parental fear of hypoglycaemia. Technical support was provided to participants while using DIYrtCGM during the trial. A convenience sampling approach was used to recruit parents. An in-depth, semi-structured interview approach was used. Thematic analysis was used to identify key themes and subthemes. RESULTS Parents identified that remote monitoring enabled proactive management and that overall alarms/glucose alerts were useful. Some parents reported reductions in anxiety, increased independence for their child, and improvements in the child-parent relationship. However, parents also reported regular signal loss with DIYrtCGM, along with complicated apps and challenges troubleshooting technical problems. Despite this, nine of the 11 families continued to use the system after the end of the trial. CONCLUSIONS Do-it-yourself continuous glucose monitoring (CGM) was on balance beneficial for the parents interviewed. However, while access to CGM shifted the burden of care experienced by parents, burden did not significantly reduce for all parents, as the improved glycaemic control that they achieved was accompanied with the responsibility for continually monitoring their child's data. Supported use of do-it-yourself CGM may be an achievable, cost-effective option for parents caring for children with type 1 diabetes in countries without funded access to CGM.
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Affiliation(s)
- Hamish Crocket
- Te Huataki Waiora School of Health, University of Waikato, Hamilton, New Zealand
| | - Mona M Elbashy
- Department of Women's and Children's Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Tom Kavanagh
- Te Huataki Waiora School of Health, University of Waikato, Hamilton, New Zealand
| | - Sara Styles
- Department of Human Nutrition, Division of Sciences, University of Otago, Dunedin, New Zealand
| | - Barbara Galland
- Department of Women's and Children's Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Jillian J Haszard
- Department of Human Nutrition, Division of Sciences, University of Otago, Dunedin, New Zealand
| | - Esko Wiltshire
- Department of Paediatrics and Child Health, University of Otago Wellington, Wellington, New Zealand
- Paediatrics and Child Health, Capital and Coast District Health Board, Wellington, New Zealand
| | - Craig Jefferies
- Paediatric Endocrinology, Starship Children's Health, Auckland, New Zealand
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Martin I de Bock
- Department of Paediatrics, University of Otago Christchurch, Christchurch, New Zealand
- Department of Paediatrics, Canterbury District Health Board, Christchurch, New Zealand
| | - Paul Tomlinson
- Department of Women's and Children's Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
- Paediatric Endocrinology, Southern District Health Board, Dunedin, New Zealand
| | - Shirley Jones
- Department of Women's and Children's Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Benjamin J Wheeler
- Department of Women's and Children's Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
- Paediatric Endocrinology, Southern District Health Board, Dunedin, New Zealand
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Huhn F, Lange K, Jördening M, Ernst G. Real-World Use of Continuous Glucose Monitoring (CGM) Systems Among Adolescents and Young Adults With Type 1 Diabetes: Reduced Burden, but Little Interest in Data Analysis. J Diabetes Sci Technol 2022:19322968221081216. [PMID: 35255729 DOI: 10.1177/19322968221081216] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Since 2016, German health insurance companies reimburse continuous glucose monitoring (CGM) systems for persons with insulin-dependent diabetes, leading to a tremendous increase of CGM use. This study assessed the use of CGM, the satisfaction with, and the data analysis behavior among young people. METHODS During a diabetes camp for young people from all over Germany, participants anonymously answered a questionnaire on their method of glucose monitoring, satisfaction and quality of CGM use, HbA1c, and diabetes distress (Problem Areas in Diabetes Scale [PAID]-5). RESULTS A total of 308 participants (age 21.4 ± 3.5 years; 73% female; diabetes duration 10.1 ± 5.9 years) completed the questionnaire. Approximately, 25% used self-monitoring of blood glucose (SMBG), 46% intermittent-scanning continuous glucose monitoring (iscCGM), and 30% real-time continuous glucose monitoring (rtCGM). Mean HbA1c was slightly, but not significantly, higher among SMBG users compared with CGM users (8.0% ± 1.9% vs. 7.7% ± 1.4%; P = .791). Diabetes distress was not associated with the method of glucose monitoring (SMBG 5.6 vs. iscCGM 6.2 vs. rtCGM 6.5; P = .386). Overall, satisfaction with CGM use was very high; 98% of the CGM users reported better well-being with CGM compared with previous SMBG use. Only 19% of CGM users reported regular data analyses; their HbA1c was lower compared with other CGM users (7.2% ± 1.2% vs. 7.7% ± 1.4%; P = .039). CONCLUSIONS In this large sample of young people, 75% were using a CGM system. Treatment satisfaction was very high, but CGM use was not associated with reduced diabetes distress or better glycemic control. However, young people who regularly analyzed their CGM data reported lower HbA1c levels.
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Affiliation(s)
- Friederike Huhn
- Department of Medical Psychology, Hannover Medical School, Hannover, Germany
| | - Karin Lange
- Department of Medical Psychology, Hannover Medical School, Hannover, Germany
| | - Mia Jördening
- Department of Medical Psychology, Hannover Medical School, Hannover, Germany
| | - Gundula Ernst
- Department of Medical Psychology, Hannover Medical School, Hannover, Germany
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Reeves PT, Kovacic K, Rogers PL, Sanghavi R, Levinthal DJ, Echelmeyer S, Li BUK. Development and Assessment of a Low Literacy, Pictographic Cyclic Vomiting Syndrome Action Plan. J Pediatr 2022; 242:174-183.e1. [PMID: 34740589 DOI: 10.1016/j.jpeds.2021.10.047] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 10/04/2021] [Accepted: 10/26/2021] [Indexed: 12/17/2022]
Abstract
OBJECTIVE To develop and assess an evidence-based, individualized Cyclic Vomiting Syndrome Action Plan (CVSAP) to optimize both preventative and acute care. STUDY DESIGN This implementation science project synthesized a combination of clinical practice guidelines, published literature, and clinical experience by a team of CVS clinicians to develop the CVSAP. The tool was developed to include validated pictograms and an automatic, embedded, weight-based dosing calculator to output acute management recommendations. The final version of the CVSAP was tested by patients/caregivers, readability calculators, medical librarians, and clinicians using validated metrics. RESULTS All pictograms met the criteria for inclusion in the CVSAP. A composite readability score of 5.32 was consistent with a fifth-grade level. Patients/caregivers (n = 70) judged the CVSAP to be of high quality with consumer information rating form rating of 84.2%. Six medical librarians rated the CVSAP to have 93% understandability and 100% actionability, and 33 clinicians completing the SAM generated a suitability rating of 87.5%. CONCLUSIONS The CVSAP visually highlights individualized care plan components to facilitate optimized preventative and acute CVS care. Further investigation will determine if CVSAP increases caregiver confidence and compliance in home management and improves quality of life and clinical outcomes for patients with CVS.
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Affiliation(s)
- Patrick T Reeves
- Department of Pediatrics, Division of Gastroenterology, Hepatology and Nutrition, Walter Reed National Military Medical Center, Bethesda, MD; Department of Pediatrics, Uniformed Services University of the Health Sciences, Bethesda, MD.
| | - Katja Kovacic
- Department of Pediatrics, Division of Gastroenterology, Hepatology and Nutrition, Medical College of Wisconsin, Milwaukee, WI
| | - Philip L Rogers
- Department of Pediatrics, Division of Gastroenterology, Hepatology and Nutrition, Walter Reed National Military Medical Center, Bethesda, MD; Department of Pediatrics, Uniformed Services University of the Health Sciences, Bethesda, MD
| | - Rinarani Sanghavi
- Department of Pediatrics, Division of Gastroenterology, Hepatology and Nutrition, U T Southwestern Medical Center, Dallas, TX
| | - David J Levinthal
- Department of Medicine, Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Sofia Echelmeyer
- Department of Pediatrics, Uniformed Services University of the Health Sciences, Bethesda, MD
| | - B U K Li
- Department of Pediatrics, Division of Gastroenterology, Hepatology and Nutrition, Medical College of Wisconsin, Milwaukee, WI
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Hettiarachchi C, Daskalaki E, Desborough J, Nolan CJ, O'Neal D, Suominen H. Integrating Multiple Inputs Into an Artificial Pancreas System: Narrative Literature Review. JMIR Diabetes 2022; 7:e28861. [PMID: 35200143 PMCID: PMC8914747 DOI: 10.2196/28861] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 06/07/2021] [Accepted: 01/01/2022] [Indexed: 12/02/2022] Open
Abstract
Background Type 1 diabetes (T1D) is a chronic autoimmune disease in which a deficiency in insulin production impairs the glucose homeostasis of the body. Continuous subcutaneous infusion of insulin is a commonly used treatment method. Artificial pancreas systems (APS) use continuous glucose level monitoring and continuous subcutaneous infusion of insulin in a closed-loop mode incorporating a controller (or control algorithm). However, the operation of APS is challenging because of complexities arising during meals, exercise, stress, sleep, illnesses, glucose sensing and insulin action delays, and the cognitive burden. To overcome these challenges, options to augment APS through integration of additional inputs, creating multi-input APS (MAPS), are being investigated. Objective The aim of this survey is to identify and analyze input data, control architectures, and validation methods of MAPS to better understand the complexities and current state of such systems. This is expected to be valuable in developing improved systems to enhance the quality of life of people with T1D. Methods A literature survey was conducted using the Scopus, PubMed, and IEEE Xplore databases for the period January 1, 2005, to February 10, 2020. On the basis of the search criteria, 1092 articles were initially shortlisted, of which 11 (1.01%) were selected for an in-depth narrative analysis. In addition, 6 clinical studies associated with the selected studies were also analyzed. Results Signals such as heart rate, accelerometer readings, energy expenditure, and galvanic skin response captured by wearable devices were the most frequently used additional inputs. The use of invasive (blood or other body fluid analytes) inputs such as lactate and adrenaline were also simulated. These inputs were incorporated to switch the mode of the controller through activity detection, directly incorporated for decision-making and for the development of intermediate modules for the controller. The validation of the MAPS was carried out through the use of simulators based on different physiological models and clinical trials. Conclusions The integration of additional physiological signals with continuous glucose level monitoring has the potential to optimize glucose control in people with T1D through addressing the identified limitations of APS. Most of the identified additional inputs are related to wearable devices. The rapid growth in wearable technologies can be seen as a key motivator regarding MAPS. However, it is important to further evaluate the practical complexities and psychosocial aspects associated with such systems in real life.
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Affiliation(s)
- Chirath Hettiarachchi
- School of Computing, College of Engineering and Computer Science, The Australian National University, Canberra, Australia
| | - Elena Daskalaki
- School of Computing, College of Engineering and Computer Science, The Australian National University, Canberra, Australia
| | - Jane Desborough
- Department of Health Services Research and Policy, Research School of Population Health, College of Health and Medicine, The Australian National University, Canberra, Australia
| | - Christopher J Nolan
- Australian National University Medical School, College of Health and Medicine, The Australian National University, Canberra, Australia.,John Curtin School of Medical Research, College of Health and Medicine, The Australian National University, Canberra, Australia
| | - David O'Neal
- Department of Medicine, University of Melbourne, Melbourne, Australia.,Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Melbourne, Australia
| | - Hanna Suominen
- School of Computing, College of Engineering and Computer Science, The Australian National University, Canberra, Australia.,Data61, Commonwealth Industrial and Scientific Research Organisation, Canberra, Australia.,Department of Computing, University of Turku, Turku, Finland
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Mavragani A, Ling G, Wray D, DeJonckheere M, Mizokami Stout K, Saslow LR, Fenske J, Serlin D, Stonebraker S, Nisha T, Barry C, Pop-Busui R, Sen A, Richardson CR. Continuous Glucose Monitoring With Low-Carbohydrate Nutritional Coaching to Improve Type 2 Diabetes Control: Randomized Quality Improvement Program. J Med Internet Res 2022; 24:e31184. [PMID: 35107429 PMCID: PMC8851329 DOI: 10.2196/31184] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 09/16/2021] [Accepted: 11/30/2021] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) is a leading cause of morbidity and mortality globally, with adverse health consequences largely related to hyperglycemia. Despite clinical practice guideline recommendations, effective pharmacotherapy, and interventions to support patients and providers, up to 60% of patients diagnosed with T2DM are estimated to have hemoglobin A1c (HbA1c) levels above the recommended targets owing to multilevel barriers hindering optimal glycemic control. OBJECTIVE The aim of this study is to compare changes in HbA1c levels among patients with suboptimally controlled T2DM who were offered the opportunity to use an intermittently viewed continuous glucose monitor and receive personalized low-carbohydrate nutrition counseling (<100 g/day) versus those who received usual care (UC). METHODS This was a 12-month, pragmatic, randomized quality improvement program. All adult patients with T2DM who received primary care at a university-affiliated primary care clinic (N=1584) were randomized to either the UC or the enhanced care (EC) group. Within each program arm, we identified individuals with HbA1c >7.5% (58 mmol/mol) who were medically eligible for tighter glycemic control, and we defined these subgroups as UC-high risk (UC-HR) or EC-HR. UC-HR participants (n=197) received routine primary care. EC-HR participants (n=185) were invited to use an intermittently viewed continuous glucose monitor and receive low-carbohydrate nutrition counseling. The primary outcome was mean change in HbA1c levels from baseline to 12 months using an intention-to-treat difference-in-differences analysis comparing EC-HR with UC-HR groups. We conducted follow-up semistructured interviews to understand EC-HR participant experiences with the intervention. RESULTS HbA1c decreased by 0.41% (4.5 mmol/mol; P=.04) more from baseline to 12 months among participants in the EC-HR group than among those in UC-HR; however, only 61 (32.9%) of 185 EC-HR participants engaged in the program. Among the EC-HR participants who wore continuous glucose monitors (61/185, 32.9%), HbA1c was 1.1% lower at 12 months compared with baseline (P<.001). Interviews revealed themes related to EC-HR participants' program engagement and continuous glucose monitor use. CONCLUSIONS Among patients with suboptimally controlled T2DM, a combined approach that includes continuous glucose monitoring and low-carbohydrate nutrition counseling can improve glycemic control compared with the standard of care.
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Affiliation(s)
| | - Grace Ling
- Department of Family Medicine, University of Michigan, Ann Arbor, MI, United States
| | - Daniel Wray
- Twine Clinical Consulting LLC, Park City, UT, United States
| | - Melissa DeJonckheere
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, United States.,Department of Family Medicine, University of Michigan, Ann Arbor, MI, United States
| | - Kara Mizokami Stout
- VA Ann Arbor Healthcare System, Ann Arbor, MI, United States.,Department of Internal Medicine Division of General Medicine, University of Michigan, Ann Arbor, MI, United States.,Department of Internal Medicine Division of Metabolism, Endocrinology and Diabetes, University of Michigan, Ann Arbor, MI, United States
| | - Laura R Saslow
- Department of Health Behavior and Biological Sciences, School of Nursing, University of Michigan, Ann Arbor, MI, United States
| | - Jill Fenske
- Department of Family Medicine, University of Michigan, Ann Arbor, MI, United States
| | - David Serlin
- Department of Family Medicine, University of Michigan, Ann Arbor, MI, United States
| | - Spring Stonebraker
- Department of Family Medicine, University of Michigan, Ann Arbor, MI, United States
| | - Tabassum Nisha
- Department of Family Medicine, University of Michigan, Ann Arbor, MI, United States
| | - Colton Barry
- Department of Family Medicine, University of Michigan, Ann Arbor, MI, United States
| | - Rodica Pop-Busui
- Department of Internal Medicine Division of General Medicine, University of Michigan, Ann Arbor, MI, United States
| | - Ananda Sen
- Department of Family Medicine, University of Michigan, Ann Arbor, MI, United States.,Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Caroline R Richardson
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, United States.,Department of Family Medicine, University of Michigan, Ann Arbor, MI, United States
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Schierloh U, Aguayo GA, Schritz A, Fichelle M, De Melo Dias C, Vaillant MT, Cohen O, Gies I, de Beaufort C. Intermittent Scanning Glucose Monitoring or Predicted Low Suspend Pump Treatment: Does It Impact Time in Glucose Target and Treatment Preference? The QUEST Randomized Crossover Study. Front Endocrinol (Lausanne) 2022; 13:870916. [PMID: 35712259 PMCID: PMC9193969 DOI: 10.3389/fendo.2022.870916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 04/12/2022] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE To compare glycemic control and treatment preference in children with type 1 diabetes (T1D) using sensor augmented pump (SAP) with predictive low glucose suspend (SmartGuard®) or pump with independent intermittent scanning continuous glucose monitoring (iscCGM, Freestyle libre ®). METHODS In this open label, cross-over study, children 6 to 14 years of age, treated with insulin pump for at least 6 months, were randomized to insulin pump and iscCGM (A) or SAP with SmartGuard® (B) for 5 weeks followed by 5 additional weeks. The difference in percentages of time in glucose target (TIT), (3.9 - 8.0 mmol/l), <3 mmol/l, > 8 and 10 mmol/l, were analyzed using linear mixed models during the final week of each arm and were measured by blinded CGM (IPro2®). RESULTS 31 children (15 girls) finished the study. With sensor compliance > 60%, no difference in TIT was found, TIT: A 37.86%; 95% CI [33.21; 42.51]; B 37.20%; 95% CI [32.59; 41.82]; < 3 mmol/l A 2.27% 95% CI [0.71; 3.84] B 1.42% 95% CI [-0.13; 2.97]; > 8 mmol/l A 0.60% 95% CI [0.56, 0.67]; B 0.63% [0.56; 0.70]. One year after the study all participants were on CGM compared to 80.7% prior to the study, with a shift of 13/25 participants from iscCGM to SAP. CONCLUSIONS In this study, no significant difference in glycemic control was found whether treated with SAP (SmartGuard®) or pump with iscCGM. The decision of all families to continue with CGM after the study suggests a positive impact, with preference for SmartGuard®. CLINICAL TRIAL REGISTRATION [clinicaltrials.gov], identifier NCT03103867.
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Affiliation(s)
- Ulrike Schierloh
- Department of Pediatric Diabetes and Endocrinology, Clinique Pédiatrique, Centre Hospitalier, Luxembourg City, Luxembourg
- *Correspondence: Ulrike Schierloh,
| | - Gloria A. Aguayo
- Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Anna Schritz
- Competence Center for Methodology and Statistics, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Muriel Fichelle
- Department of Pediatric Diabetes and Endocrinology, Clinique Pédiatrique, Centre Hospitalier, Luxembourg City, Luxembourg
| | - Cindy De Melo Dias
- Department of Pediatric Diabetes and Endocrinology, Clinique Pédiatrique, Centre Hospitalier, Luxembourg City, Luxembourg
| | - Michel T. Vaillant
- Competence Center for Methodology and Statistics, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Ohad Cohen
- Institute of Endocrinology, Sheba Medical Center, Tel Hashomer, Israel
| | - Inge Gies
- Pediatric Endocrinology, KidZ Health Castle, UZ Brussel, Vrije Universiteit Brussel, Brussels, Belgium
| | - Carine de Beaufort
- Department of Pediatric Diabetes and Endocrinology, Clinique Pédiatrique, Centre Hospitalier, Luxembourg City, Luxembourg
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Karakuş KE, Sakarya S, Yeşiltepe Mutlu G, Berkkan M, Muradoğlu S, Can E, Gökçe T, Eviz E, Hatun Ş. Benefits and Drawbacks of Continuous Glucose Monitoring (CGM) Use in Young Children With Type 1 Diabetes: A Qualitative Study From a Country Where the CGM Is Not Reimbursed. J Patient Exp 2021; 8:23743735211056523. [PMID: 34881352 PMCID: PMC8646182 DOI: 10.1177/23743735211056523] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Investigating the daily life experiences of patients using Continuous Glucose Monitoring (CGM) can highlight the benefits and barriers in using this system for people with type 1 diabetes (T1D). Semi-structured qualitative interviews were conducted with the caregivers of 10 children aged <9 years, all of whom had been treated for T1D and had used CGM >6 months. These interviews were analyzed using the content analysis approach and from these interviews, four meta themes emerged: metabolic control, barriers to CGM use, CGM use in daily life, and comparison with fingersticks. Families reported the following as benefits of CGM: pain relief, better hypoglycemia and hyperglycemia management, increased control over diet and social life, reduced worries at school and during the night, and convenience in entrusting the child to the care of others. Cost, concerns related to accuracy and reliability of measurements, insertion, adhesion and removal issues all emerged as barriers to CGM use. The most prominent issue was the economic burden of CGM. Families accept this burden, even though it is challenging, as their experiences in using CGM are positive and they feel that CGM is necessary for T1D management.
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Affiliation(s)
| | - Sibel Sakarya
- Koç University School of Medicine, Istanbul, Turkey.,Department of Public Health, Koç University School of Medicine, Istanbul, Turkey
| | - Gül Yeşiltepe Mutlu
- Koç University School of Medicine, Istanbul, Turkey.,Department of Pediatric Endocrinology and Diabetes, Koç University Hospital, Istanbul, Turkey
| | | | - Serra Muradoğlu
- Department of Pediatric Endocrinology and Diabetes, Koç University Hospital, Istanbul, Turkey
| | - Ecem Can
- Department of Pediatric Endocrinology and Diabetes, Koç University Hospital, Istanbul, Turkey
| | - Tuğba Gökçe
- Department of Pediatric Endocrinology and Diabetes, Koç University Hospital, Istanbul, Turkey
| | - Elif Eviz
- Department of Pediatric Endocrinology and Diabetes, Koç University Hospital, Istanbul, Turkey
| | - Şükrü Hatun
- Koç University School of Medicine, Istanbul, Turkey.,Department of Pediatric Endocrinology and Diabetes, Koç University Hospital, Istanbul, Turkey
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Bode B, King A, Russell-Jones D, Billings LK. Leveraging advances in diabetes technologies in primary care: a narrative review. Ann Med 2021; 53:805-816. [PMID: 34184589 PMCID: PMC8245065 DOI: 10.1080/07853890.2021.1931427] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 05/11/2021] [Indexed: 11/28/2022] Open
Abstract
Primary care providers (PCPs) play an important role in providing medical care for patients with type 2 diabetes. Advancements in diabetes technologies can assist PCPs in providing personalised care that addresses each patient's individual needs. Diabetes technologies fall into two major categories: devices for glycaemic self-monitoring and insulin delivery systems. Monitoring technologies encompass self-measured blood glucose (SMBG), where blood glucose is intermittently measured by a finger prick blood sample, and continuous glucose monitoring (CGM) devices, which use an interstitial sensor and are capable of giving real-time information. Studies show people using real-time CGM have better glucose control compared to SMBG. CGM allows for new parameters including time in range (the time spent within the desired target glucose range), which is an increasingly relevant real-time metric of glycaemic control. Insulin pens have increased the ease of administration of insulin and connected pens that can calculate and capture data on dosing are becoming available. There are a number of websites, software programs, and applications that can help PCPs and patients to integrate diabetes technology into their diabetes management schedules. In this article, we summarise these technologies and provide practical information to inform PCPs about utility in their clinical practice. The guiding principle is that use of technology should be individualised based on a patient's needs, desires, and availability of devices. Diabetes technology can help patients improve their clinical outcomes and achieve the quality of life they desire by decreasing disease burden.KEY MESSAGESIt is important to understand the role that diabetes technologies can play in primary care to help deliver high-quality care, taking into account patient and community resources. Diabetes technologies fall into two major categories: devices for glycaemic self-monitoring and insulin delivery systems. Modern self-measured blood glucose devices are simple to use and can help guide decision making for self-management plans to improve clinical outcomes, but cannot provide "live" data and may under- or overestimate blood glucose; patients' monitoring technique and compliance should be reviewed regularly. Importantly, before a patient is provided with monitoring technology, they must receive suitably structured education in its use and interpretation.Continuous glucose monitoring (CGM) is now standard of care for people with type 1 diabetes and people with type 2 diabetes on meal-time (prandial) insulin. Real-time CGM can tell both the patient and the healthcare provider when glucose is in the normal range, and when they are experiencing hyper- or hypoglycaemia. Using CGM data, changes in lifestyle, eating habits, and medications, including insulin, can help the patient to stay in a normal glycaemic range (70-180 mg/dL). Real-time CGM allows for creation of an ambulatory glucose profile and monitoring of time in range (the time spent within target blood glucose of 70-180 mg/dL), which ideally should be at least 70%; avoiding time above range (>180 mg/dL) is associated with reduced diabetes complications and avoiding time below range (<70 mg/dL) will prevent hypoglycaemia. Insulin pens are simpler to use than syringes, and connected pens capture information on insulin dose and injection timing.There are a number of websites, software programs and applications that can help primary care providers and patients to integrate diabetes technology into their diabetes management schedules. The guiding principle is that use of technology should be individualised based on a patient's needs, desires, skill level, and availability of devices.
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Affiliation(s)
- Bruce Bode
- Atlanta Diabetes Associates, Atlanta, GA, USA
| | - Aaron King
- HealthTexas at Stone Oak, San Antonio, TX, USA
| | | | - Liana K. Billings
- NorthShore University HealthSystem/University of Chicago Pritzker School of Medicine, Skokie, IL, USA
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Wylie TAF, Shah C, Burgess L, Robertson E, Dupont D, Swindell R, Hovorka R, Murphy HR, Heller SR. Optimizing the use of technology to support people with diabetes: research recommendations from Diabetes UK's 2019 diabetes and technology workshop. Diabet Med 2021; 38:e14647. [PMID: 34270822 DOI: 10.1111/dme.14647] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 07/14/2021] [Indexed: 12/15/2022]
Abstract
AIMS To identify key gaps in the research evidence base that could help improve how technology supports people with diabetes, and provide recommendations to researchers and research funders on how best to address them. METHODS A research workshop was conducted, bringing together research experts in diabetes, research experts in technology, people living with diabetes and healthcare professionals. RESULTS The following key areas within this field were identified, and research recommendations for each were developed: Matching the pace of research with that of technology development Time in range as a measure Health inequalities and high-risk groups How to train people to use technology most effectively Impact of technology usage on mental health CONCLUSIONS: This position statement outlines recommendations through which research could improve how technology is employed to care for and support people living with diabetes, and calls on the research community and funders to address them in future research programmes and strategies.
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Affiliation(s)
| | | | | | | | - David Dupont
- Diabetes UK Clinical Studies Group Member, London, UK
| | | | - Roman Hovorka
- Wellcome Trust-MRC Institute of Metabolic Science, Department of Paediatrics, University of Cambridge, Cambridge, UK
| | - Helen R Murphy
- Norwich Medical School, Bob Champion Research and Education Building, University of East Anglia, Norwich, UK
| | - Simon R Heller
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
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40
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Allen NA, Litchman ML, Neller S, Tracy EL, de Grey RGK, Grigorian E, Helgeson VS, Berg CA. Couples Managing Type 1 Diabetes Using Diabetes Technology. Diabetes Spectr 2021; 34:378-387. [PMID: 34866871 PMCID: PMC8603131 DOI: 10.2337/ds20-0045] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
OBJECTIVE Diabetes technology has improved the lives of people with diabetes (PWD), but there is little research on how insulin pumps and continuous glucose monitoring (CGM) affect couples' relationships. The purpose of this study was to examine how the use of diabetes technology affects couple interactions. METHODS In a secondary data analysis, we used a multiple-method qualitative analysis, including a constant-comparison approach, to examine similarities and differences in couple interactions related to diabetes technology. PWD and their spouses were interviewed separately, using a semi-structured interview guide; the interviews primarily focused on how couples coped with type 1 diabetes. RESULTS Participants (n = 134 couples) were using an insulin pump or CGM system. Average age was 44 ± 12.05 years for PWD and 44 ± 12.62 years for spouses. Couples' average length of relationship was 18 ± 12.50 years. Among the PWD, 54 used a pump only, 12 used CGM only, and 68 used both. Four main themes emerged: 1) diabetes technology facilitates shared diabetes management for couples, 2) diabetes technology facilitates spousal involvement in diabetes care, 3) diabetes technology is a source of relationship tension, and 4) diabetes technology causes positive/negative responses to sleep and alarms. CONCLUSION Overall, couples perceived diabetes technology as having a positive effect on their relationship by increasing collaboration, promoting communication, and reducing diabetes burden and vigilance. Technology also was perceived to increase relationship tension, lifestyle inconveniences, and positive/negative responses regarding sleep and alarms. Involvement of spouses in diabetes technology education should be considered.
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Affiliation(s)
- Nancy A. Allen
- University of Utah College of Nursing, Salt Lake City, UT
- Corresponding author: Nancy A. Allen,
| | - Michelle L. Litchman
- University of Utah College of Nursing, Salt Lake City, UT
- Utah Diabetes and Endocrinology Center, Salt Lake City, UT
| | - Sarah Neller
- University of Utah College of Nursing, Salt Lake City, UT
| | - Eunjin L. Tracy
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | | | | | - Vicki S. Helgeson
- Department of Psychology, Carnegie Mellon University, Pittsburgh, PA
| | - Cynthia A. Berg
- Department of Psychology, University of Utah, Salt Lake City, UT
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41
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Faulds ER, Grey M, Tubbs-Cooley H, Hoffman RP, Militello LK, Tan A, Happ MB. Expect the unexpected: Adolescent and pre-teens' experience of diabetes technology self-management. Pediatr Diabetes 2021; 22:1051-1062. [PMID: 34263953 PMCID: PMC8530879 DOI: 10.1111/pedi.13249] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Accepted: 06/27/2021] [Indexed: 01/12/2023] Open
Abstract
OBJECTIVE Only 17% of adolescents with type 1 diabetes (T1D) are currently meeting their glycemic targets despite advances in diabetes technologies. Self-management behaviors and challenges specific to use of diabetes technologies are insufficiently studied in adolescents. We aimed to describe the experience of diabetes technology self-management, including facilitators and barriers, among preteens/adolescents with low and high A1C. RESEARCH DESIGN AND METHODS Youth (10-18 years of age) with T1D who use insulin pump therapy were recruited from the larger quantitative cohort of a mixed methods study for participation in semi-structured qualitative interviews. Maximum variability sampling was used to recruit youth with A1C <7.5% (n = 5) and A1C >9% (n = 5). Participants' personal insulin pump and continuous glucose monitoring data were downloaded and served as a visual reference. Interviews were analyzed using a qualitative descriptive approach. RESULTS Participants were 50% female with a median age of 14.9 years and 80% used CGM. The sample was predominantly white (90.0%). Analysis produced four major themes, Bad Day, Expect the Unexpected, Nighttime Dependence, and Unpredictability, It's Really a Team and interconnecting subthemes. Youth characterized ''Bad Days'' as those requiring increased diabetes focus and self-management effort. The unpredictability (''Expect the Unexpected'') of glucose outcomes despite attention to self-management behaviors was considerable frustration. CONCLUSIONS Diabetes devices such as insulin pumps are complex machines that rely heavily on individual proficiency, surveillance, and self-management behaviors to achieve clinical benefit. Our findings highlight the dynamic nature of self-management and the multitude of factors that feed youths' self-management behaviors.
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Affiliation(s)
- Eileen R. Faulds
- The Ohio State University College of Nursing, The Ohio State University Medical Center, Columbus, OH
| | - Margaret Grey
- Annie Goodrich Professor of Nursing, Yale University School of Nursing, New Haven, CT
| | | | - Robert P. Hoffman
- Division of Pediatric Endocrinology, Nationwide Children’s Hospital, The Ohio State University College of Medicine
| | | | - Alai Tan
- The Ohio State University College of Nursing, Columbus, OH
| | - Mary Beth Happ
- The Ohio State University College of Nursing, Columbus, OH
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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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Faulds ER, Karnes L, Colicchio VD, Militello LK, Litchman M. State of the science: A scoping review and gap analysis of adolescent insulin pump self-management. J SPEC PEDIATR NURS 2021; 26:e12331. [PMID: 33792146 DOI: 10.1111/jspn.12331] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 02/19/2021] [Accepted: 02/24/2021] [Indexed: 11/30/2022]
Abstract
PURPOSE Adolescent diabetes outcomes remain poor despite increased use of diabetes technologies such as insulin pump therapy. Meaningful research examining adolescent insulin pump self-management has been done, however, a summary of these self-management findings has not been published. The aim of this literature review is to map, evaluate, and summarize existing adolescent insulin pump self-management research. METHOD A scoping review of three databases was conducted to comprehensively report and synthesize relevant literature published before September 2019. RESULTS Of the 1295 titles identified, 18 articles met the inclusion criteria and were included in this scoping review. Key insulin pump self-management behaviors were featured in the literature, most notably self-monitoring of blood glucose (SMBG) and bolus frequency. Several factors were found to influence pump self-management including psychological factors, parental support and self-management transition, insulin pump education and knowledge acquisition, and environmental factors. We uncovered five gaps in the literature including: an unclear delineation of adolescent age; limited minority representation; variability in the definitions and reporting of self-management behaviors; the role of data sharing and remote monitoring was not addressed; and there remains limited inquiry into diabetes burden and distress associated with insulin pump self-management. PRACTICE IMPLICATIONS There exists a consensus that well-established behaviors, such as bolus and SMBG frequency, influence glycemic outcomes for adolescent insulin pump users, however, full insulin pump utilization and self-management is poorly understood. Diabetes clinicians should work to support adolescent insulin pump self-management practices by reinforcing bedrock behaviors while fostering supportive factors found to influence pump self-management.
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Affiliation(s)
- Eileen R Faulds
- The Ohio State University College of Nursing, Columbus, Ohio, USA
| | | | | | - Lisa K Militello
- The Ohio State University College of Nursing, Columbus, Ohio, USA
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44
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Miller E, Midyett LK. Just Because You Can, Doesn't Mean You Should … Now. A Practical Approach to Counseling Persons with Diabetes on Use of Optional CGM Alarms. Diabetes Technol Ther 2021; 23:S66-S71. [PMID: 34546081 DOI: 10.1089/dia.2021.0192] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Advances in glucose monitoring technologies have led to the development of different types of continuous glucose monitoring (CGM) platforms: traditional CGM and flash CGM. Both platforms provide critical glucose data that enable persons with diabetes (PwDs) to make more informed decisions in their self-management. Until recently, a key advantage of traditional CGM over flash CGM was the availability of automatic alarms that warn users about current or impending hypoglycemia and hyperglycemia. However, with the introduction of the FreeStyle Libre 2 (FSL2) system (Abbott Diabetes Care, Alameda, CA), PwD can now utilize flash CGM with the option to set low and high glycemic thresholds and receive alarms when these thresholds are crossed. In addition, having the option to use or not use the alarms may attract previous traditional CGM users who grew fatigued by constant alarms. However, despite the additional layer of safety that alarms provide, many PwD are reluctant to switch from self-monitoring of blood glucose to CGM due to concerns about how alarms could impact the quality of their daily lives. This reluctance is heightened by their perceptions that use of alarms is mandatory. Because the functionality of the FSL2 alarms differs from current traditional CGM devices, it is important that clinicians become familiar with these differences. Moreover, clinicians will be challenged to help PwD overcome their concerns about the use of alarms. This article presents a comprehensive description of the FSL2 alarms function and provides guidance to clinicians when counseling PwDs about the strengths, limitations, and various ways that the FSL2 alarms can be used in daily diabetes self-management.
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Barbed Ferrández SM, Montaner Gutiérrez T, Larramona Ballarín G, Ferrer Lozano M, Lou Francés GM. Impact on the well-being perceived by caregivers of children and adolescents with type 1 diabetes following the use of interstitial glucose measurement systems. ENDOCRINOL DIAB NUTR 2021; 68:243-250. [PMID: 34266636 DOI: 10.1016/j.endien.2019.11.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2019] [Accepted: 11/22/2019] [Indexed: 10/21/2022]
Abstract
INTRODUCTION Type 1 diabetes mellitus (DM-1) is one of the most common chronic childhood diseases, and it is essential to optimize glycemic control in order to avoid complications. For years, interstitial glucose measurement systems (MGI systems) have been among the new technologies at the forefront of self-care. OBJECTIVES To determine the impact on the well-being of the caregivers of patients with DM-1 under 18 years of age, controlled at a Pediatric Diabetes Unit of a third level hospital, of the use of MGI systems. MATERIAL AND METHODS This was an observational, descriptive and analytical cohort study based on a questionnaire completed by the patients' caregivers, as well as from the patient's clinical history. RESULTS There were 120 participants (55.5% males), with a mean age 13.20 +/- 3.71 years and mean glycosylated haemoglobin (HbA1c) 7.36% +/- 0.90. 52.5% of the sample used MGI systems. The caregivers of patients using MGI systems showed significantly higher scores (p < 0.05) regarding well-being, compared to the caregivers of patients not using this technology. In the former, a significant improvement (p < 0.05) in these variables with respect to the values prior to the beginning of their use was observed. CONCLUSIONS The use of MGI systems for diabetes self-management in our study led to a greater sense of well-being on the part of caregivers compared with before their introduction, as well as in comparison with those who continued to perform measurements using daily capillary glycemias.
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Ray MK, McMichael A, Rivera-Santana M, Noel J, Hershey T. Technological Ecological Momentary Assessment Tools to Study Type 1 Diabetes in Youth: Viewpoint of Methodologies. JMIR Diabetes 2021; 6:e27027. [PMID: 34081017 PMCID: PMC8212634 DOI: 10.2196/27027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 03/26/2021] [Accepted: 04/03/2021] [Indexed: 11/13/2022] Open
Abstract
Type 1 diabetes (T1D) is one of the most common chronic childhood diseases, and its prevalence is rapidly increasing. The management of glucose in T1D is challenging, as youth must consider a myriad of factors when making diabetes care decisions. This task often leads to significant hyperglycemia, hypoglycemia, and glucose variability throughout the day, which have been associated with short- and long-term medical complications. At present, most of what is known about each of these complications and the health behaviors that may lead to them have been uncovered in the clinical setting or in laboratory-based research. However, the tools often used in these settings are limited in their ability to capture the dynamic behaviors, feelings, and physiological changes associated with T1D that fluctuate from moment to moment throughout the day. A better understanding of T1D in daily life could potentially aid in the development of interventions to improve diabetes care and mitigate the negative medical consequences associated with it. Therefore, there is a need to measure repeated, real-time, and real-world features of this disease in youth. This approach is known as ecological momentary assessment (EMA), and it has considerable advantages to in-lab research. Thus, this viewpoint aims to describe EMA tools that have been used to collect data in the daily lives of youth with T1D and discuss studies that explored the nuances of T1D in daily life using these methods. This viewpoint focuses on the following EMA methods: continuous glucose monitoring, actigraphy, ambulatory blood pressure monitoring, personal digital assistants, smartphones, and phone-based systems. The viewpoint also discusses the benefits of using EMA methods to collect important data that might not otherwise be collected in the laboratory and the limitations of each tool, future directions of the field, and possible clinical implications for their use.
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Affiliation(s)
- Mary Katherine Ray
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, United States
| | - Alana McMichael
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, United States
| | - Maria Rivera-Santana
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, United States
| | - Jacob Noel
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, United States
| | - Tamara Hershey
- Department of Psychiatry, Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, United States
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Grunberger G, Sherr J, Allende M, Blevins T, Bode B, Handelsman Y, Hellman R, Lajara R, Roberts VL, Rodbard D, Stec C, Unger J. American Association of Clinical Endocrinology Clinical Practice Guideline: The Use of Advanced Technology in the Management of Persons With Diabetes Mellitus. Endocr Pract 2021; 27:505-537. [PMID: 34116789 DOI: 10.1016/j.eprac.2021.04.008] [Citation(s) in RCA: 119] [Impact Index Per Article: 39.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 04/16/2021] [Accepted: 04/19/2021] [Indexed: 02/08/2023]
Abstract
OBJECTIVE To provide evidence-based recommendations regarding the use of advanced technology in the management of persons with diabetes mellitus to clinicians, diabetes-care teams, health care professionals, and other stakeholders. METHODS The American Association of Clinical Endocrinology (AACE) conducted literature searches for relevant articles published from 2012 to 2021. A task force of medical experts developed evidence-based guideline recommendations based on a review of clinical evidence, expertise, and informal consensus, according to established AACE protocol for guideline development. MAIN OUTCOME MEASURES Primary outcomes of interest included hemoglobin A1C, rates and severity of hypoglycemia, time in range, time above range, and time below range. RESULTS This guideline includes 37 evidence-based clinical practice recommendations for advanced diabetes technology and contains 357 citations that inform the evidence base. RECOMMENDATIONS Evidence-based recommendations were developed regarding the efficacy and safety of devices for the management of persons with diabetes mellitus, metrics used to aide with the assessment of advanced diabetes technology, and standards for the implementation of this technology. CONCLUSIONS Advanced diabetes technology can assist persons with diabetes to safely and effectively achieve glycemic targets, improve quality of life, add greater convenience, potentially reduce burden of care, and offer a personalized approach to self-management. Furthermore, diabetes technology can improve the efficiency and effectiveness of clinical decision-making. Successful integration of these technologies into care requires knowledge about the functionality of devices in this rapidly changing field. This information will allow health care professionals to provide necessary education and training to persons accessing these treatments and have the required expertise to interpret data and make appropriate treatment adjustments.
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Affiliation(s)
| | - Jennifer Sherr
- Yale University School of Medicine, New Haven, Connecticut
| | - Myriam Allende
- University of Puerto Rico School of Medicine, San Juan, Puerto Rico
| | | | - Bruce Bode
- Atlanta Diabetes Associates, Atlanta, Georgia
| | | | - Richard Hellman
- University of Missouri-Kansas City School of Medicine, Kansas City, Missouri
| | | | | | - David Rodbard
- Biomedical Informatics Consultants, LLC, Potomac, Maryland
| | - Carla Stec
- American Association of Clinical Endocrinology, Jacksonville, Florida
| | - Jeff Unger
- Unger Primary Care Concierge Medical Group, Rancho Cucamonga, California
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Rivera-Ávila DA, Esquivel-Lu AI, Salazar-Lozano CR, Jones K, Doubova SV. The effects of professional continuous glucose monitoring as an adjuvant educational tool for improving glycemic control in patients with type 2 diabetes. BMC Endocr Disord 2021; 21:79. [PMID: 33888117 PMCID: PMC8063407 DOI: 10.1186/s12902-021-00742-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 03/19/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND The study objective was to evaluate the effects of professional continuous glucose monitoring (CGM) as an adjuvant educational tool for improving glycemic control in patients with type 2 diabetes (T2D). METHODS We conducted a three-month quasi-experimental study with an intervention (IGr) and control group (CGr) and ex-ante and ex-post evaluations in one family medicine clinic in Mexico City. Participants were T2D patients with HbA1c > 8% attending a comprehensive diabetes care program. In addition to the program, the IGr wore a professional CGM sensor (iPro™2) during the first 7 days of the study. Following this period, IGr participants had a medical consultation for the CGM results and treatment adjustments. Additionally, they received an educational session and personalized diet plan from a dietitian. After 3 months, the IGr again wore the CGM sensor for 1 week. The primary outcome variable was HbA1c level measured at baseline and 3 months after the CGM intervention. We analyzed the effect of the intervention on HbA1c levels by estimating the differences-in-differences treatment effect (Diff-in-Diff). Additionally, baseline and three-month CGM and dietary information were recorded for the IGr and analyzed using the Student's paired t-test and mixed-effects generalized linear models to control for patients' baseline characteristics. RESULTS Overall, 302 T2D patients participated in the study (IGr, n = 150; control, n = 152). At the end of the three-month follow-up, we observed 0.439 mean HbA1C difference between groups (p = 0.004), with an additional decrease in HbA1c levels in the IGr compared with the CGr (Diff-in-Diff HbA1c mean of - 0.481% points, p = 0.023). Moreover, compared with the baseline, the three-month CGM patterns showed a significant increase in the percentage of time in glucose range (+ 7.25; p = 0.011); a reduction in the percentage of time above 180 mg/dl (- 6.01; p = 0.045), a decrease in glycemic variability (- 3.94, p = 0.034); and improvements in dietary patterns, shown by a reduction in total caloric intake (- 197.66 Kcal/day; p = 0.0001). CONCLUSION Professional CGM contributes to reducing HbA1c levels and is an adjuvant educational tool that can improve glycemic control in patients with T2D. TRIAL REGISTRATION ClinicalTrials.gov: NCT04667728 . Registered 16/12/2020.
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Affiliation(s)
- Dulce Adelaida Rivera-Ávila
- Clínica de Medicina Familiar Oriente, Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado, Ciudad de México, Mexico
| | - Alejandro Iván Esquivel-Lu
- Enseñanza e Investigación, Delegación Oriente, Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado, Ciudad de México, Mexico
| | - Carlos Rafael Salazar-Lozano
- Delegación Oriente, Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado, Ciudad de México, Mexico
| | | | - Svetlana V Doubova
- Epidemiology and Health Services Research Unit, CMN Siglo XXI, Mexican Institute of Social Security, Av. Cuauhtemoc 330, Col. Doctores, Del. Cuauhtemoc, 06720, Mexico City, Mexico.
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Drydakis N. Mobile applications aiming to facilitate immigrants’ societal integration and overall level of integration, health and mental health. Does artificial intelligence enhance outcomes? COMPUTERS IN HUMAN BEHAVIOR 2021. [DOI: 10.1016/j.chb.2020.106661] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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Oscillatory pattern of glycemic control in patients with diabetes mellitus. Sci Rep 2021; 11:5789. [PMID: 33707491 PMCID: PMC7970978 DOI: 10.1038/s41598-021-84822-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 02/18/2021] [Indexed: 12/21/2022] Open
Abstract
Daily glucose variability is higher in diabetic mellitus (DM) patients which has been related to the severity of the disease. However, it is unclear whether glycemic variability displays a specific pattern oscillation or if it is completely random. Thus, to determine glycemic variability pattern, we measured and analyzed continuous glucose monitoring (CGM) data, in control subjects and patients with DM type-1 (T1D). CGM data was assessed for 6 days (day: 08:00-20:00-h; and night: 20:00-08:00-h). Participants (n = 172; age = 18-80 years) were assigned to T1D (n = 144, females = 65) and Control (i.e., healthy; n = 28, females = 22) groups. Anthropometry, pharmacologic treatments, glycosylated hemoglobin (HbA1c) and years of evolution were determined. T1D females displayed a higher glycemia at 10:00-14:00-h vs. T1D males and Control females. DM patients displays mainly stationary oscillations (deterministic), with circadian rhythm characteristics. The glycemia oscillated between 2 and 6 days. The predictive model of glycemia showed that it is possible to predict hyper and hypoglycemia (R2 = 0.94 and 0.98, respectively) in DM patients independent of their etiology. Our data showed that glycemic variability had a specific oscillation pattern with circadian characteristics, with episodes of hypoglycemia and hyperglycemia at day phases, which could help therapeutic action for this population.
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