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Rodríguez-Muñoz A, Picón-César MJ, Tinahones FJ, Martínez-Montoro JI. Type 1 diabetes-related distress: Current implications in care. Eur J Intern Med 2024; 125:19-27. [PMID: 38609810 DOI: 10.1016/j.ejim.2024.03.030] [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: 09/19/2023] [Revised: 03/18/2024] [Accepted: 03/25/2024] [Indexed: 04/14/2024]
Abstract
Type 1 diabetes (T1D) is a complex chronic disease associated with major health and economic consequences, also involving important issues in the psychosocial sphere. In this regard, T1D-related distress, defined as the emotional burden of living with T1D, has emerged as a specific entity related to the disease. Diabetes distress (DD) is an overlooked but prevalent condition in people living with T1D, and has significant implications in both glycemic control and mental health in this population. Although overlapping symptoms may be found between DD and mental health disorders, specific approaches should be performed for the diagnosis of this problem. In recent years, different DD-targeted interventions have been postulated, including behavioral and psychosocial strategies. Moreover, new technologies in this field may be helpful to address DD in people living with T1D. In this article, we summarize the current knowledge on T1D-related distress, and we also discuss the current approaches and future perspectives in its management.
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Affiliation(s)
- Alba Rodríguez-Muñoz
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, Málaga, Spain; Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma Bionand, Málaga, Spain
| | - María José Picón-César
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, Málaga, Spain; Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma Bionand, Málaga, Spain; Centro de Investigación Biomédica en Red-Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Francisco J Tinahones
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, Málaga, Spain; Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma Bionand, Málaga, Spain; Centro de Investigación Biomédica en Red-Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Faculty of Medicine, University of Málaga, Málaga, Spain
| | - José Ignacio Martínez-Montoro
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, Málaga, Spain; Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma Bionand, Málaga, Spain; Centro de Investigación Biomédica en Red-Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Faculty of Medicine, University of Málaga, Málaga, Spain.
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Natale P, Chen S, Chow CK, Cheung NW, Martinez‐Martin D, Caillaud C, Scholes‐Robertson N, Kelly A, Craig JC, Strippoli G, Jaure A. Patient experiences of continuous glucose monitoring and sensor-augmented insulin pump therapy for diabetes: A systematic review of qualitative studies. J Diabetes 2023; 15:1048-1069. [PMID: 37551735 PMCID: PMC10755613 DOI: 10.1111/1753-0407.13454] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 05/31/2023] [Accepted: 07/22/2023] [Indexed: 08/09/2023] Open
Abstract
AIMS Blood glucose control is central to the management of diabetes, and continuous glucose monitoring (CGM) improves glycemic control. We aimed to describe the perspectives of people with diabetes using CGM. MATERIALS AND METHODS We performed a systematic review of qualitative studies. RESULTS Fifty-four studies involving 1845 participants were included. Six themes were identified: gaining control and convenience (reducing pain and time, safeguarding against complications, achieving stricter glucose levels, and sharing responsibility with family); motivating self-management (fostering ownership, and increasing awareness of glycemic control); providing reassurance and freedom (attaining peace of mind, and restoring social participation); developing confidence (encouraged by the endorsement of others, gaining operational skills, customizing settings for ease of use, and trust in the device); burdened with device complexities (bewildered by unfamiliar technology, reluctant to rely on algorithms, overwhelmed by data, frustrated with malfunctioning and inaccuracy, distressed by alerts, and bulkiness of machines interfering with lifestyle); and excluded by barriers to access (constrained by cost, lack of suppliers). CONCLUSIONS CGM can improve self-management and confidence in patients managing diabetes. However, the technical issues, uncertainty in readings, and cost may limit the uptake. Education and training from the health professionals may help to reduce the practical and psychological burden for better patient outcomes.
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Affiliation(s)
- Patrizia Natale
- Sydney School of Public HealthThe University of SydneySydneyAustralia
- Department of Precision and Regenerative Medicine and Ionian Area (DIMEPRE‐J)University of Bari Aldo MoroBariItaly
- Nephrology, Dialysis and Transplantation Unit, Department of Medical and Surgical SciencesUniversity of FoggiaFoggiaItaly
| | - Sharon Chen
- Sydney School of Public HealthThe University of SydneySydneyAustralia
- Centre for Kidney ResearchThe Children's Hospital at WestmeadSydneyAustralia
| | - Clara K. Chow
- Westmead Applied Research CentreWestmead HospitalSydneyAustralia
- Sydney Medical SchoolThe University of SydneySydneyAustralia
| | - Ngai Wah Cheung
- Westmead Applied Research CentreWestmead HospitalSydneyAustralia
- Sydney Medical SchoolThe University of SydneySydneyAustralia
- Westmead Clinical SchoolWestmead HospitalSydneyAustralia
| | - David Martinez‐Martin
- The University of Sydney Nano Institute (Sydney Nano)The University of SydneySydneyAustralia
- School of Biomedical EngineeringThe University of SydneySydneyAustralia
| | - Corinne Caillaud
- Charles Perkins CentreThe University of SydneySydneyAustralia
- School of Medical SciencesThe University of SydneySydneyAustralia
| | - Nicole Scholes‐Robertson
- Sydney School of Public HealthThe University of SydneySydneyAustralia
- Centre for Kidney ResearchThe Children's Hospital at WestmeadSydneyAustralia
| | - Ayano Kelly
- Centre for Kidney ResearchThe Children's Hospital at WestmeadSydneyAustralia
- School of Health and Medicine, South Western Sydney CampusUniversity of New South WalesSydneyAustralia
- Rheumatology DepartmentLiverpool HospitalSydneyAustralia
- Ingham Institute of Applied Medical ResearchSydneyAustralia
| | - Jonathan C. Craig
- College of Medicine and Public HealthFlinders UniversityAdelaideAustralia
| | - Giovanni Strippoli
- Sydney School of Public HealthThe University of SydneySydneyAustralia
- Department of Precision and Regenerative Medicine and Ionian Area (DIMEPRE‐J)University of Bari Aldo MoroBariItaly
| | - Allison Jaure
- Sydney School of Public HealthThe University of SydneySydneyAustralia
- Centre for Kidney ResearchThe Children's Hospital at WestmeadSydneyAustralia
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Aleppo G, Gal RL, Raghinaru D, Kruger D, Beck RW, Bergenstal RM, Cushman T, Hood KK, Johnson ML, McArthur T, Bradshaw A, Olson BA, Oser SM, Oser TK, Kollman C, Weinstock RS. Comprehensive Telehealth Model to Support Diabetes Self-Management. JAMA Netw Open 2023; 6:e2336876. [PMID: 37792375 PMCID: PMC10551767 DOI: 10.1001/jamanetworkopen.2023.36876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 08/28/2023] [Indexed: 10/05/2023] Open
Abstract
Importance As the number of patients with diabetes continues to increase in the United States, novel approaches to clinical care access should be considered to meet the care needs for this population, including support for diabetes-related technology. Objective To evaluate a virtual clinic to facilitate comprehensive diabetes care, support continuous glucose monitoring (CGM) integration into diabetes self-management, and provide behavioral health support for diabetes-related issues. Design, Setting, and Participants This cohort study was a prospective, single-arm, remote study involving adult participants with type 1 or type 2 diabetes who were referred through community resources. The study was conducted virtually from August 24, 2020, to May 26, 2022; analysis was conducted at the clinical coordinating center. Intervention Training and education led by a Certified Diabetes Care and Education Specialist for CGM use through a virtual endocrinology clinic structure, which included endocrinologists and behavioral health team members. Main Outcomes and Measures Main outcomes included CGM-measured mean glucose level, coefficient of variation, and time in range (TIR) of 70 to 180 mg/dL, time with values greater than 180 mg/dL or 250 mg/dL, and time with values less than 70 mg/dL or 54 mg/dL. Hemoglobin A1c was measured at baseline and at 12 and 24 weeks. Results Among the 234 participants, 160 had type 1 diabetes and 74 had type 2 diabetes. The mean (SD) age was 47 (14) years, 123 (53%) were female, and median diabetes duration was 20 years. Median (IQR) CGM use over 6 months was 96% (91%-98%) for participants with type 1 diabetes and 94% (85%-97%) for those with type 2 diabetes. Mean (SD) hemoglobin A1c (HbA1c) in those with type 1 diabetes decreased from 7.8% (1.6%) at baseline to 7.1% (1.0%) at 3 months and 7.1% (1.0%) at 6 months (mean change from baseline to 6 months, -0.6%, 95% CI, -0.8% to -0.5%; P < .001), with an 11% mean TIR increase over 6 months (95% CI, 9% to 14%; P < .001). Mean HbA1c in participants with type 2 diabetes decreased from 8.1% (1.7%) at baseline to 7.1% (1.0%) at 3 months and 7.1% (0.9%) at 6 months (mean change from baseline to 6 months, -1.0%; 95% CI, -1.4% to -0.7%; P < .001), with an 18% TIR increase over 6 months (95% CI, 13% to 24%; P < .001). In participants with type 1 diabetes, mean percentage of time with values less than 70 mg/dL and less than 54 mg/dL decreased over 6 months by 0.8% (95% CI, -1.2% to -0.4%; P = .001) and by 0.3% (95% CI, -0.5% to -0.2%, P < .001), respectively. In the type 2 diabetes group, hypoglycemia was rare (mean [SD] percentage of time <70 mg/dL, 0.5% [0.6%]; and <54 mg/dL, 0.07% [0.14%], over 6 months). Conclusions and Relevance Results from this cohort study demonstrated clinical benefits associated with implementation of a comprehensive care model that included diabetes education. This model of care has potential to reach a large portion of patients with diabetes, facilitate diabetes technology adoption, and improve glucose control.
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Affiliation(s)
- Grazia Aleppo
- Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Robin L Gal
- Jaeb Center for Health and Research, Tampa, Florida
| | | | | | - Roy W Beck
- Jaeb Center for Health and Research, Tampa, Florida
| | | | | | - Korey K Hood
- Stanford University School of Medicine, Stanford, California
| | | | | | | | | | - Sean M Oser
- University of Colorado School of Medicine, Aurora
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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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Winterdijk P, Aanstoot HJ, Nefs G. The impact of real-time sensor technology on quality of life for adults with type 1 diabetes: A Dutch national survey. Diabetes Res Clin Pract 2023; 203:110886. [PMID: 37604282 DOI: 10.1016/j.diabres.2023.110886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 07/19/2023] [Accepted: 08/18/2023] [Indexed: 08/23/2023]
Abstract
AIMS To examine the impact of real-time continuous glucose monitoring (RT-CGM) on quality of life in Dutch adults with type 1 diabetes, inside/outside automated insulin delivery (AID) systems. METHODS In this cross-sectional retrospective observational study, RT-CGM users completed an online survey including (adapted) validated questionnaires, study-specific items and open-ended questions. RESULTS Of 893 participating adults, 69% used the RT-CGM as part of AID. The overall sample reported improvements in quality of life related to RT-CGM use (irrespective of initial indication), particularly with respect to physical health, emotional wellbeing and energy. Merits for sleep, intimacy and cognitive diabetes load lagged somewhat behind, mostly when RT-CGM was not integrated in AID. Users of AID had significantly larger improvements in overall quality of life, fatigue and diabetes-specific distress than users of sensor-augmented pump or Open Loop treatment. In regression analyses, user evaluations were associated with perceptions of benefit and burden. In qualitative content analysis, benefits (e.g. life 'normalization', increased perceptions of control) outweighed burdens (e.g. technology frustrations, confrontation with diabetes). CONCLUSIONS RT-CGM positively impacted the quality of life of adults with type 1 diabetes. This justifies a (re-)consideration of broader access. Increased support to maximize device benefits and minimize burdens is also warranted.
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Affiliation(s)
- Per Winterdijk
- Diabeter, Center for Type 1 Diabetes Care and Research, Blaak 6, 3011 TA Rotterdam, the Netherlands.
| | - Henk-Jan Aanstoot
- Diabeter, Center for Type 1 Diabetes Care and Research, Blaak 6, 3011 TA Rotterdam, the Netherlands.
| | - Giesje Nefs
- Diabeter, Center for Type 1 Diabetes Care and Research, Blaak 6, 3011 TA Rotterdam, the Netherlands; Radboud University Medical Center, Department of Medical Psychology, Huispost 926, PO Box 9101, 6500 HB Nijmegen, the Netherlands; Tilburg University, Center of Research on Psychological Disorders and Somatic Diseases (CoRPS), Department of Medical and Clinical Psychology, PO Box 90153, 5000 LE Tilburg, the Netherlands.
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Tanenbaum ML, Commissariat PV. Barriers and Facilitators to Diabetes Device Adoption for People with Type 1 Diabetes. Curr Diab Rep 2022; 22:291-299. [PMID: 35522355 PMCID: PMC9189072 DOI: 10.1007/s11892-022-01469-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/14/2022] [Indexed: 11/29/2022]
Abstract
PURPOSE OF REVIEW Diabetes technology (insulin pumps, continuous glucose monitoring, automated insulin delivery systems) has advanced significantly and provides benefits to the user. This article reviews the current barriers to diabetes device adoption and sustained use, and outlines the known and potential facilitators for increasing and sustaining device adoption. RECENT FINDINGS Barriers to diabetes device adoption continue to exist at the system-, provider-, and individual-level. Known facilitators to promote sustained adoption include consistent insurance coverage, support for providers and clinics, structured education and support for technology users, and device user access to support as needed (e.g., through online resources). Systemic barriers to diabetes device adoption persist while growing evidence demonstrates the increasing benefits of newest devices and systems. There are ongoing efforts to develop evidence-based structured education programs to support device adoption and sustained use.
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Affiliation(s)
- Molly L Tanenbaum
- Department of Pediatrics, Division of Endocrinology and Diabetes, Stanford University School of Medicine, Stanford, CA, USA.
| | - Persis V Commissariat
- Pediatric, Adolescent and Young Adult Section, Joslin Diabetes Center, Boston, MA, USA
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Nefs G. The Psychological Implications of Automated Insulin Delivery Systems in Type 1 Diabetes Care. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2022; 3:846162. [PMID: 36992780 PMCID: PMC10012062 DOI: 10.3389/fcdhc.2022.846162] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 03/25/2022] [Indexed: 01/15/2023]
Abstract
Automated insulin delivery (AID) systems have brought important glycemic benefits to type 1 diabetes management. The present paper provides an overview of their psychological implications. Trials and real-world observational studies report improvements in diabetes-specific quality of life, with qualitative work describing reduced management burden, increased flexibility and improved relationships. Not all experiences are positive, however, evidenced by dropping algorithm use soon after device initiation. Apart from finance and logistics, reasons for discontinuation include technology frustrations, wear-related issues and unmet glycemic and work load expectations. New challenges include distrust in proper AID functioning, overreliance and deskilling, compensatory behaviors to override or trick the system and optimize time in range, and concerns related to wearing multiple devices on the body. Research efforts may focus on incorporating a diversity perspective, updating existing person-reported outcome measures according to new technology developments, addressing implicit or explicit health professional bias in technology access, examining the merits of incorporating stress reactivity in the AID algorithm, and developing concrete approaches for psychological counseling and support related to technology use. An open dialogue with health professionals and peers about expectations, preferences and needs may foster the collaboration between the person with diabetes and the AID system.
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Affiliation(s)
- Giesje Nefs
- Department of Medical Psychology, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, Netherlands
- Diabeter, National Treatment and Research Center for Children, Adolescents and Adults With Type 1 Diabetes, Rotterdam, Netherlands
- Department of Medical and Clinical Psychology, Center of Research On Psychological Disorders and Somatic Diseases (CoRPS), Tilburg University, Tilburg, Netherlands
- *Correspondence: Giesje Nefs,
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Tanenbaum ML, Messer LH, Wu CA, Basina M, Buckingham BA, Hessler D, Mulvaney SA, Maahs DM, Hood KK. Help when you need it: Perspectives of adults with T1D on the support and training they would have wanted when starting CGM. Diabetes Res Clin Pract 2021; 180:109048. [PMID: 34534592 PMCID: PMC8578423 DOI: 10.1016/j.diabres.2021.109048] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 08/30/2021] [Accepted: 09/09/2021] [Indexed: 10/20/2022]
Abstract
AIMS The purpose of this study was to explore preferences that adults with type 1 diabetes (T1D) have for training and support to initiate and sustain optimal use of continuous glucose monitoring (CGM) technology. METHODS Twenty-two adults with T1D (M age 30.95 ± 8.32; 59.1% female; 90.9% Non-Hispanic; 86.4% White; diabetes duration 13.5 ± 8.42 years; 72.7% insulin pump users) who had initiated CGM use in the past year participated in focus groups exploring two overarching questions: (1) What helped you learn to use your CGM? and (2) What additional support would you have wanted? Focus groups used a semi-structured interview guide and were recorded, transcribed and analyzed. RESULTS Overarching themes identified were: (1) "I got it going by myself": CGM training left to the individual; (2) Internet as diabetes educator, troubleshooter, and peer support system; and (3) domains of support they wanted, including content and format of this support. CONCLUSION This study identifies current gaps in training and potential avenues for enhancing device education and CGM onboarding support for adults with T1D. Providing CGM users with relevant, timely resources and attending to the emotional side of using CGM could alleviate the burden of starting a new device and promote sustained device use.
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Affiliation(s)
- Molly L Tanenbaum
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University, School of Medicine, Stanford, CA, USA; Stanford Diabetes Research Center, Stanford, CA, USA.
| | - Laurel H Messer
- University of Colorado Anschutz, Barbara Davis Center for Childhood Diabetes, Aurora, CO, USA.
| | - Christine A Wu
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University, School of Medicine, Stanford, CA, USA.
| | - Marina Basina
- Stanford Diabetes Research Center, Stanford, CA, USA; Division of Endocrinology, Gerontology, & Metabolism, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
| | - Bruce A Buckingham
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University, School of Medicine, Stanford, CA, USA; Stanford Diabetes Research Center, Stanford, CA, USA.
| | - Danielle Hessler
- Department of Family and Community Medicine, University of California, San Francisco, San Francisco, CA, USA.
| | - Shelagh A Mulvaney
- Center for Diabetes Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA; School of Nursing, Vanderbilt University, Nashville, TN, USA.
| | - David M Maahs
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University, School of Medicine, Stanford, CA, USA; Stanford Diabetes Research Center, Stanford, CA, USA.
| | - Korey K Hood
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University, School of Medicine, Stanford, CA, USA; Stanford Diabetes Research Center, Stanford, CA, USA.
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