2,348 results match your criteria Journal of Diabetes Science and Technology [Journal]


Carbohydrate Requirement for Exercise in Type 1 Diabetes: Effects of Insulin Concentration.

J Diabetes Sci Technol 2019 Feb 15:1932296819826962. Epub 2019 Feb 15.

2 Department of Engineering and Architecture, University of Trieste, Trieste, Italy.

Physical activity is a keystone of a healthy lifestyle as well as of management of patients with type 1 diabetes. The risk of exercise-induced hypoglycemia, however, is a great challenge for these patients. The glycemic response to exercise depends upon several factors concerning the patient him/herself (eg, therapy, glycemic control, training level) and the characteristics of the exercise performed. Read More

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http://dx.doi.org/10.1177/1932296819826962DOI Listing
February 2019

Impact of Human Factors Testing on Medical Device Design: Validation of an Automated CGM Sensor Applicator.

J Diabetes Sci Technol 2019 Feb 14:1932296819831071. Epub 2019 Feb 14.

4 CGParkin Communications, Inc, Henderson, NV, USA.

Improving user engagement with continuous glucose monitoring (CGM) is considered a major requirement for achieving optimal treatment efficacy. Human factors testing is needed to ensure that CGM product designs and requisite training simplify the user experience and enhance usability and patient safety. Dexcom, Inc, recently introduced a novel, "one-button" automatic sensor applicator (ASA) for use with the Dexcom G6 (rtCGM) system. Read More

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http://dx.doi.org/10.1177/1932296819831071DOI Listing
February 2019

Gamification and Behavior Change Techniques in Diabetes Self-Management Apps.

J Diabetes Sci Technol 2019 Feb 14:1932296818822998. Epub 2019 Feb 14.

1 Health Psychology, Johannes Gutenberg University Mainz, Mainz, Germany.

Background:: Diabetes management apps may have positive effects on diabetes self-management. It remains unclear, however, which app features are particularly effective and encourage sustained app usage. Behavior change techniques (BCTs) and gamification are promising approaches to improve user engagement. Read More

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http://dx.doi.org/10.1177/1932296818822998DOI Listing
February 2019
1 Read

Performance and Usability of Three Systems for Continuous Glucose Monitoring in Direct Comparison.

J Diabetes Sci Technol 2019 Feb 7:1932296819826965. Epub 2019 Feb 7.

2 Abteilung für Innere Medizin / Kompetenzzentrum Diabetes, Privatklinik Wehrle-Diakonissen, Salzburg, Austria.

Background:: To be able to compare continuous glucose monitoring (CGM) systems, they have to be worn in parallel by the same subjects. This study evaluated the performance and usability of three different CGM systems in direct comparison.

Method:: In this open, prospective study at two sites, 54 patients with diabetes wore three CGM systems each (Dexcom G5™ Mobile CGM system [DG5], Guardian™ Connect system [GC], and a Roche CGM system [RCGM]) in parallel for 6 or 7 days in a mixed inpatient and outpatient setting. Read More

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http://journals.sagepub.com/doi/10.1177/1932296819826965
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http://dx.doi.org/10.1177/1932296819826965DOI Listing
February 2019
3 Reads

Evidence From a Long-Term, Systematic Post-Market Surveillance Program: Clinical Performance of a Hematocrit-Insensitive Blood Glucose Test Strip.

J Diabetes Sci Technol 2019 Feb 7:1932296819826968. Epub 2019 Feb 7.

1 LifeScan Scotland, Inverness, UK.

Background:: Described is a manufacturer's systematic post-market evaluation of the long-term clinical accuracy of a commercially available blood glucose monitoring (BGM) test strip product.

Methods:: Production batches of test strips were routinely and regularly sampled and evaluated in a clinical setting to assess product accuracy. Evaluations were performed on capillary blood samples from a minimum of 100 subjects with diabetes, by clinical staff according to instructions for use. Read More

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http://dx.doi.org/10.1177/1932296819826968DOI Listing
February 2019

Continuous Glucose Monitoring Diving and Diabetes: An Update of the Swedish Recommendations.

J Diabetes Sci Technol 2019 Feb 2:1932296819826584. Epub 2019 Feb 2.

2 Department of Pediatrics, Hospital of Halland, Kungsbacka, Sweden.

Divers travel to different countries to explore various diving sites worldwide. In 2005, the Divers Alert Network (DAN) published their guidelines for recreational diving and diabetes mellitus. However, although years have passed, there is still no consensus in the form of international guidelines on diabetes and diving. Read More

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http://dx.doi.org/10.1177/1932296819826584DOI Listing
February 2019

Nasal Glucagon Versus Injectable Glucagon for Severe Hypoglycemia: A Cost-Offset and Budget Impact Analysis.

J Diabetes Sci Technol 2019 Jan 30:1932296819826577. Epub 2019 Jan 30.

1 Ossian Health Economics and Communications, Basel, Switzerland.

Background:: Severe hypoglycemic events (SHEs) in patients with diabetes are associated with substantial health care costs in the United States (US). Injectable glucagon (IG) is currently available for treatment of severe hypoglycemia but is associated with frequent handling errors. Nasal glucagon (NG) is a novel, easier-to-use treatment that is more often administered successfully. Read More

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http://dx.doi.org/10.1177/1932296819826577DOI Listing
January 2019
1 Read

Glycemic Variability: Risk Factors, Assessment, and Control.

Authors:
Boris Kovatchev

J Diabetes Sci Technol 2019 Jan 29:1932296819826111. Epub 2019 Jan 29.

1 University of Virginia School of Medicine and School of Engineering and Applied Sciences, UVA Center for Diabetes Technology, Charlottesville, VA, USA.

Glycemic variability (GV) a well-established risk factor for hypoglycemia and a suspected risk factor for diabetes complications. GV is also a marker of the instability of a person's metabolic system, expressed as frequent high and low glucose excursions and overall volatile glycemic control. In this review, the author discusses topics related to the assessment, quantification, and optimal control of diabetes, including (1) the notion that optimal control of diabetes, that is, lowering of HbA1c-the commonly accepted gold-standard outcome-can be achieved only if accompanied by simultaneous reduction of GV; (2) assessment and visualization of the two principal dimensions of GV, amplitude and time, which is now possible via continuous glucose monitoring (CGM) and various metrics quantifying GV and the risks associated with hypo- and hyperglycemic excursions; and (3) the evolution of diabetes science and technology beyond quantifying GV and into the realm of GV control via pharmacological agents, for example, GLP-1 receptor agonists and DPP-4 inhibitors, which have pronounced variability-reducing effect, or real-time automated closed-loop systems commonly referred to as the "artificial pancreas. Read More

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http://dx.doi.org/10.1177/1932296819826111DOI Listing
January 2019
1 Read

Hypoglycemia Incidence and Factors Associated in a Cohort of Patients With Type 2 Diabetes Hospitalized in General Ward Treated With Basal Bolus Insulin Regimen Assessed by Continuous Glucose Monitoring.

J Diabetes Sci Technol 2019 Jan 24:1932296818823720. Epub 2019 Jan 24.

7 Department of Medicine, Emory University, Atlanta, GA, USA.

Introduction:: Continuous glucose monitoring (CGM) is a better tool to detect hyper and hypoglycemia than capillary point of care in insulin-treated patients during hospitalization. We evaluated the incidence of hypoglycemia in patients with type 2 diabetes (T2D) treated with basal bolus insulin regimen using CGM and factors associated with hypoglycemia.

Methods:: Post hoc analysis of a prospective cohort study. Read More

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http://dx.doi.org/10.1177/1932296818823720DOI Listing
January 2019

New Opportunities for Digital Health to Thrive.

J Diabetes Sci Technol 2019 Jan 24:1932296818822215. Epub 2019 Jan 24.

2 Sansum Diabetes Research Institute, Santa Barbara, CA, USA.

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http://dx.doi.org/10.1177/1932296818822215DOI Listing
January 2019

Behavioral Theory: The Missing Ingredient for Digital Health Tools to Change Behavior and Increase Adherence.

Authors:
David C Klonoff

J Diabetes Sci Technol 2019 Jan 24:1932296818820303. Epub 2019 Jan 24.

1 Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA, USA.

Behavioral theory is an important factor for designing digital health tools for diabetes to increase adherence to treatment. Many digital health products have not incorporated this method for achieving behavior change. This oversight might explain the disappointing outcomes of many products in this class. Read More

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http://dx.doi.org/10.1177/1932296818820303DOI Listing
January 2019

Insulin-Based Infusion System: Preliminary Study.

J Diabetes Sci Technol 2019 Jan 24:1932296818821349. Epub 2019 Jan 24.

2 Departments of Clinical Medicine and Endocrinology, Aalborg University Hospital, Aalborg, Denmark.

Background:: Optimal glucose control has been shown to be useful in critical care as well as in other settings. Glucose concentrations in patients admitted to critical care are characterized by marked variability and hypoglycemia due to inadequate sensing and treatment technologies.

Methods:: The insulin balanced infusion system (IBIS) is a closed-loop system that uses a system controller, two syringe pumps, and capillary glucose sensor intravenously infusing regular insulin and/or dextrose. Read More

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http://dx.doi.org/10.1177/1932296818821349DOI Listing
January 2019
3 Reads

Therapy Adjustments Based on Trend Arrows Using Continuous Glucose Monitoring Systems.

J Diabetes Sci Technol 2019 Jan 22:1932296818822539. Epub 2019 Jan 22.

7 Department for Endocrinology, Diabetes and Metabolism, ISAR Klinikum, Munich, Germany.

Continuous glucose monitoring (CGM) systems use trend arrows to accurately display the anticipated glucose curve for the user. These are used for both "real-time" glucose monitoring and for intermittent scanning glucose monitoring. Trend arrow data are used by people with diabetes to make corrections to their glucose control. Read More

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http://dx.doi.org/10.1177/1932296818822539DOI Listing
January 2019
1 Read

Analysis of "Artificial Pancreas (AP) Systems for People With Type 2 Diabetes: Conception and Design of the European CLOSE Project".

J Diabetes Sci Technol 2019 Jan 19:1932296818823770. Epub 2019 Jan 19.

2 Division of Diabetes, Endocrinology, and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA.

In an article in Journal of Diabetes Science and Technology, Schliess and coauthors describe the conception and design of the European Automated Glu cose Contro l at H ome for People with Chronic Di sease (CLOSE) initiative for the implementation of artificial pancreas (AP) systems for people with diabetes. The CLOSE consortium aims to develop integrated AP solutions (APplus) tailored to the needs of individuals with type 2 diabetes (T2D) by developing superior risk- and cost-benefit scenarios for AP operation to achieve acceptance by users and caregivers and a high likelihood for reimbursement. CLOSE is integrating the AP platform into the center of a comprehensive product and service package specifically tailored to defined T2D patient groups and care environments, leading to an interactive collaboration with users, health care providers, and other stakeholders in diabetes care. Read More

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http://dx.doi.org/10.1177/1932296818823770DOI Listing
January 2019
6 Reads

Evaluation of Linearity and Interference Effect on SMBG and POCT Devices, Showing Drastic High Values, Low Values, or Error Messages.

J Diabetes Sci Technol 2019 Jan 19:1932296818821664. Epub 2019 Jan 19.

1 Department of Internal Medicine, PL Hospital, Osaka, Japan.

Background:: When a patient with diabetes measures blood glucose levels using a simple blood glucose meter, an error message or abnormal value may be displayed because of interfering substances, potentially leading to unnecessary medical treatment.

Methods:: Here, we tested 10 self-monitoring of blood glucose (SMBG) and point-of-care testing (POCT) devices to investigate under what conditions they fail to measure blood glucose levels or display abnormal values instead. We also evaluated the influence and linearity of several well-known interfering substances and hematocrit (Ht). Read More

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http://dx.doi.org/10.1177/1932296818821664DOI Listing
January 2019

Model-Based Tool for Personalized Adjustment of Basal Insulin Supply in Patients With Intensified Conventional Insulin Therapy.

J Diabetes Sci Technol 2019 Jan 19:1932296818823020. Epub 2019 Jan 19.

3 Institut für Diabetes "Gerhardt Katsch," Karlsburg, Germany.

Background:: The decisive factor in successful intensive insulin therapy is the ability to deliver need-based-adjusted nutrition-independent insulin dosages at the closest possible approximation to the physiological insulin level. Because this basal insulin requirement is strongly influenced by the patient's lifestyle, its subtlety is of great importance. This challenge is very different between patients with type 1 diabetes and those with insulin-dependent type 2 diabetes. Read More

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http://dx.doi.org/10.1177/1932296818823020DOI Listing
January 2019

Improving Glucose Prediction Accuracy in Physically Active Adolescents With Type 1 Diabetes.

J Diabetes Sci Technol 2019 Jan 18:1932296818820550. Epub 2019 Jan 18.

1 Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA.

Background:: Physical activity presents a significant challenge for glycemic control in individuals with type 1 diabetes. As accurate glycemic predictions are key to successful automated decision-making systems (eg, artificial pancreas, AP), the inclusion of additional physiological variables in the estimation of the metabolic state may improve the glucose prediction accuracy during exercise.

Methods:: Predictor-based subspace identification is applied to a dynamic glucose prediction model including heart rate measurements along with variables representing the carbohydrate consumption and insulin boluses. Read More

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http://dx.doi.org/10.1177/1932296818820550DOI Listing
January 2019
1 Read

Feasibility of a Low-Intensity, Technology-Based Intervention for Increasing Physical Activity in Adults at Risk for a Diabetic Foot Ulcer: A Mixed-Methods Study.

J Diabetes Sci Technol 2019 Jan 18:1932296818822538. Epub 2019 Jan 18.

1 Rosalind Franklin University of Medicine and Science, North Chicago, IL, USA.

Background:: Among adults with diabetes, 19-34% will develop a diabetic foot ulcer (DFU), which increases amputation risk and health care costs, and worsens quality of life. Regular physical activity, when increased gradually, may help prevent DFUs. In this mixed-methods study, we examined the feasibility of a low-intensity, technology-based behavioral intervention to increase activity in adults at risk for DFUs. Read More

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http://journals.sagepub.com/doi/10.1177/1932296818822538
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http://dx.doi.org/10.1177/1932296818822538DOI Listing
January 2019
4 Reads

Prediction of Hypoglycemia During Aerobic Exercise in Adults With Type 1 Diabetes.

J Diabetes Sci Technol 2019 Jan 17:1932296818823792. Epub 2019 Jan 17.

1 Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR, USA.

Background:: Fear of exercise related hypoglycemia is a major reason why people with type 1 diabetes (T1D) do not exercise. There is no validated prediction algorithm that can predict hypoglycemia at the start of aerobic exercise.

Methods:: We have developed and evaluated two separate algorithms to predict hypoglycemia at the start of exercise. Read More

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http://dx.doi.org/10.1177/1932296818823792DOI Listing
January 2019

Acceptance of the Artificial Pancreas: Comparing the Effect of Technology Readiness, Product Characteristics, and Social Influence Between Invited and Self-Selected Respondents.

J Diabetes Sci Technol 2019 Jan 15:1932296818823728. Epub 2019 Jan 15.

1 Center for Entrepreneurship, Strategy and Innovation Management (ESIM-NIKOS), Faculty of Behavioural, Management and Social Sciences (BMS), University of Twente, Enschede, The Netherlands.

Background:: Psychosocial factors that may affect acceptance of artificial pancreas (AP) systems have been investigated in small sample sizes of highly motivated, self-selected persons with type 1 diabetes (T1DM) with a focus on product characteristics. We aimed to develop a valid survey to investigate the association of technology readiness and social influence with AP acceptance in a larger sample, including both self-selected and invited respondents with T1DM.

Methods:: An online survey was developed based on established questionnaires. Read More

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http://dx.doi.org/10.1177/1932296818823728DOI Listing
January 2019
2 Reads

A Randomized Controlled, Treat-to-Target Study Evaluating the Efficacy and Safety of Insulin Glargine 300 U/mL (Gla-300) Administered Using Either Device-Supported or Routine Titration in People With Type 2 Diabetes.

J Diabetes Sci Technol 2019 Jan 15:1932296818821706. Epub 2019 Jan 15.

9 University of California, San Diego, Solana Beach, CA, USA.

Background:: The efficacy/safety of device-supported versus routine titration with Gla-300 in type 2 diabetes (T2DM) was evaluated.

Method:: AUTOMATIX was a 16-week, randomized, open-label, parallel-group, multicenter, noninferiority trial in insulin-treated or insulin-naïve people with T2DM. The fasting self-monitored plasma glucose (FSMPG) target was 90-130 mg/dL (5. Read More

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http://dx.doi.org/10.1177/1932296818821706DOI Listing
January 2019

Improvement of Blood Samples Preanalytic Management Alters the Clinical Results of Glucose Values: Population Study.

J Diabetes Sci Technol 2019 Jan 15:1932296818823780. Epub 2019 Jan 15.

2 Department of Public Health, Faculty of Health Sciences, Ben Gurion University of the Negev, Be'er Sheva, Israel.

Background:: Prolonged time elapsing between the blood drawing and separation of the cell mass may result in decreased sample glucose levels due to continuous glycolysis. This can lead to underdiagnoses of hyperglycemic states and overdiagnosis of hypoglycemia. We aimed to evaluate the clinical impact of shortened transit time and earlier centrifugation of laboratory specimens on reported glucose results and diagnosis of clinically significant hypoglycemia (<50 mg/dL) or elevated glucose levels (>100 mg/dL). Read More

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http://dx.doi.org/10.1177/1932296818823780DOI Listing
January 2019
1 Read

Glucose Management Technologies for the Critically Ill.

J Diabetes Sci Technol 2019 Jan 13:1932296818822838. Epub 2019 Jan 13.

2 Froedtert and Medical College of Wisconsin, Division of Diabetes and Endocrinology, Zablocki Veteran Affairs Medical Center, Milwaukee, WI, USA.

Hyperglycemia is common in the intensive care unit (ICU) both in patients with and without a previous diagnosis of diabetes. The optimal glucose range in the ICU population is still a matter of debate. Given the risk of hypoglycemia associated with intensive insulin therapy, current recommendations include treating hyperglycemia after two consecutive glucose >180 mg/dL with target levels of 140-180 mg/dL for most patients. Read More

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http://dx.doi.org/10.1177/1932296818822838DOI Listing
January 2019

Continuous Subcutaneous Insulin Infusion Initiation Is Associated With Blood Pressure Reduction in Adults With Type 1 Diabetes.

J Diabetes Sci Technol 2019 Jan 13:1932296818822818. Epub 2019 Jan 13.

1 Manchester Diabetes Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.

Background:: In type 1 diabetes (T1D) continuous subcutaneous insulin infusion (CSII) use has been associated with lower risks for mortality and diabetes-related complications when compared to multiple daily injections. There are limited data on the effect of CSII on blood pressure (BP). We aimed to evaluate the relationship between CSII initiation and BP changes. Read More

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http://dx.doi.org/10.1177/1932296818822818DOI Listing
January 2019

The Relationships Between Time in Range, Hyperglycemia Metrics, and HbA1c.

J Diabetes Sci Technol 2019 Jan 13:1932296818822496. Epub 2019 Jan 13.

3 Biomedical Informatics Consultants, LLC, Potomac, MD, USA.

Background:: As the use of continuous glucose monitoring (CGM) increases, there is a need to better understand key metrics of time in range 70-180 mg/dL (TIR) and hyperglycemia and how they relate to hemoglobin A1c (A1C).

Methods:: Analyses were conducted utilizing datasets from four randomized trials encompassing 545 adults with type 1 diabetes (T1D) who had central-laboratory measurements of A1C. CGM metrics were calculated and compared with each other and A1C cross-sectionally and longitudinally. Read More

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http://dx.doi.org/10.1177/1932296818822496DOI Listing
January 2019

Advancing the Use of CGM Devices in a Non-ICU Setting.

J Diabetes Sci Technol 2019 Jan 13:1932296818821094. Epub 2019 Jan 13.

2 Division of Diabetes and Endocrinology, Baltimore Veterans Affairs Medical Center, Baltimore, MD, USA.

Improvements in glycemic control using continuous glucose monitoring (CGM) systems have been demonstrated in the outpatient setting. Among hospitalized patients the use of CGM is largely investigational, particularly in the non-ICU setting. Although there is no commercially available closed-loop system, it has recently been evaluated in the non-critical care setting. Read More

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http://dx.doi.org/10.1177/1932296818821094DOI Listing
January 2019

What Are Diabetes Patients Versus Health Care Personnel Discussing on Social Media?

J Diabetes Sci Technol 2019 Jan 13:1932296818821649. Epub 2019 Jan 13.

1 Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway.

Background:: Use of social media is increasing rapidly, also in health care and diabetes. However, patients, health care personnel, and patient organizations discuss diabetes on social media very differently. This has led to a lack of common ground when these stakeholders communicate about diabetes and a gap in understanding one another's point of view. Read More

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http://dx.doi.org/10.1177/1932296818821649DOI Listing
January 2019
5 Reads

Predictive Glucose Trends From Continuous Glucose Monitoring: Friend or Foe in Clinical Decision Making?

J Diabetes Sci Technol 2019 Jan 13:1932296818823538. Epub 2019 Jan 13.

1 Section of Endocrinology, Diabetes, and Nutrition, Boston University School of Medicine and Boston Medical Center, Boston, MA, USA.

In this commentary, we briefly review the currently recommended approaches to interpretation and management of continuous glucose monitor (CGM) rate of change (ROC) trend arrows and discuss the inherent difficulty in incorporating practical recommendations for their application into routine clinical care. We have limited our review and discussion to the currently available Dexcom G5 and G6 CGM systems and Abbott's Freestyle Libre flash glucose monitor (FGM) system, as they are the most widely used and currently approved for nonadjunctive use in the United States. Read More

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http://dx.doi.org/10.1177/1932296818823538DOI Listing
January 2019

The Clinical Case for the Integration of a Ketone Sensor as Part of a Closed Loop Insulin Pump System.

J Diabetes Sci Technol 2019 Jan 10:1932296818822986. Epub 2019 Jan 10.

1 Department of Medicine, University of Melbourne, St. Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia.

Closed loop (CL) systems deliver insulin with a rapid onset and offset in action. Although favorable overall, the absence of a long-acting insulin increases the risk of diabetic ketoacidosis (DKA) which can occur with insulin delivery failure, acute illness, low carbohydrate diets, sodium glucose-linked transporter inhibitors, and high intensity exercise. A CL system relying entirely on interstitial glucose measurements may not provide an alert for DKA and many people with type 1 diabetes (T1D) do not carry a blood ketone meter and test-strips. Read More

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http://dx.doi.org/10.1177/1932296818822986DOI Listing
January 2019
1 Read

Comparative Accuracy Evaluation of a Blood Glucose Meter With Novel Hematocrit Correction Technology, With Three Currently Used Commercially Available Blood Glucose Monitoring Systems.

J Diabetes Sci Technol 2019 Jan 9:1932296818821389. Epub 2019 Jan 9.

1 Diabetes Research Unit Cymru, Swansea University, Singleton Park, Swansea, UK.

Hematocrit is known to influence glucose values obtained on some blood glucose meters, with bias observed especially at low and high hematocrit levels. We evaluated the performance of a meter with hematocrit correction technology alongside 3 other commercially available meters. Capillary blood samples from 100 subjects were analyzed in duplicate and compared to the plasma values obtained by reference laboratory analyzer. Read More

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http://dx.doi.org/10.1177/1932296818821389DOI Listing
January 2019

New Paradigm of Personalized Glycemic Control Using Glucose Temporal Density Histograms.

J Diabetes Sci Technol 2019 Jan 8:1932296818821423. Epub 2019 Jan 8.

1 Cnoga Medical Ltd, Caesarea North industrial Park, Caesarea, Israel.

Background:: Current methods used to assess glycemic control use averaged measures and provide little information on the glycemic pathology of the patients. In this article we propose visual tools and their related mathematical formulas that allow for improved characterization of the glycemic behavior and achieve better glycemic control.

Methods:: We present a reanalysis of published data, based on SMBG measurements from clinical trials of both men and women older than 18 years who were either healthy volunteers, prediabetes, or type 1 or type 2 diabetes. Read More

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http://dx.doi.org/10.1177/1932296818821423DOI Listing
January 2019

Development of the Intercultural Diabetes Online Community Research Council: Codesign and Social Media Processes.

J Diabetes Sci Technol 2019 Jan 7:1932296818818455. Epub 2019 Jan 7.

11 University of California, Davis, Davis, CA, USA.

Background:: This case study describes the formation of the Intercultural Diabetes Online Community Research council (iDOCr) and community advisory board (CAB) to engage the diabetes community and researchers in the codesign of community-based participatory research (CBPR) to examine online peer support in type 2 diabetes (T2D).

Method:: Social media engagement was the foundation for CBPR knowledge generation. During the project, the iDOCr council and CAB (n = 27) met quarterly via video conferencing and three times in person during national diabetes meetings. Read More

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http://journals.sagepub.com/doi/10.1177/1932296818818455
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http://dx.doi.org/10.1177/1932296818818455DOI Listing
January 2019
5 Reads

Peer Support Through a Diabetes Social Media Community.

J Diabetes Sci Technol 2019 Jan 2:1932296818818828. Epub 2019 Jan 2.

1 Child Health Evaluation and Research Center, University of Michigan, Ann Arbor, MI, USA.

Background:: Caregivers and individuals living with type 1 diabetes (T1D) who are members of CGM in the Cloud, a Facebook group associated with the Nightscout Project, were interviewed to assess how the online community impacted peer support.

Methods:: Semistructured qualitative interviews were conducted with caregivers and patients who are part of CGM in the Cloud Facebook group. Interview transcripts were analyzed to identify various themes related to peer support in the online group. Read More

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http://dx.doi.org/10.1177/1932296818818828DOI Listing
January 2019

Response to "Premature and Incomplete Overview of Health Technology Assessments for Flash Glucose Monitoring Leads to Misleading Conclusions".

Authors:
Oliver Schnell

J Diabetes Sci Technol 2018 Dec 31:1932296818822512. Epub 2018 Dec 31.

1 Forschergruppe Diabetes e.V., Neuherberg (Munich), Germany.

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http://dx.doi.org/10.1177/1932296818822512DOI Listing
December 2018

Premature and Incomplete Overview of Health Technology Assessments for Flash Glucose Monitoring Leads to Misleading Conclusions.

J Diabetes Sci Technol 2018 Dec 31:1932296818822513. Epub 2018 Dec 31.

3 Abbott Laboratories Ltd, Maidenhead, Berkshire, UK.

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http://dx.doi.org/10.1177/1932296818822513DOI Listing
December 2018

User Experiences of an Electronic Personal Health Record for Diabetes.

J Diabetes Sci Technol 2018 Dec 26:1932296818818837. Epub 2018 Dec 26.

2 School of Medicine, University of Dundee, Dundee, UK.

Background:: My Diabetes My Way (MDMW) is an electronic personal health record (ePHR) that provides access to educational resources and clinical data to people with diabetes in Scotland. This questionnaire study aims to assess user experience, barriers to access, and inform future development.

Methods:: All active MDMW users (n = 3797) were invited to complete an online questionnaire in May 2015, surveying usage patterns and system utility. Read More

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http://dx.doi.org/10.1177/1932296818818837DOI Listing
December 2018

Reducing Glucose Meter Adverse Events by Using Reliability Growth With the FDA MAUDE Database.

Authors:
Jan S Krouwer

J Diabetes Sci Technol 2018 Dec 23:1932296818814457. Epub 2018 Dec 23.

1 Krouwer Consulting, Sherborn, MA, USA.

Glucose meter evaluations are common and provide important information about glucose meter performance versus standards. Although some meters meet guidelines and others fall short in these evaluations, most results are within the A and B zones of a glucose meter error grid. Another data source that is seldom used is the FDA adverse event database (MAUDE). Read More

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http://dx.doi.org/10.1177/1932296818814457DOI Listing
December 2018

Visualization of Blood Glucose Fluctuations Using Continuous Glucose Monitoring in Patients Undergoing Hemodialysis.

J Diabetes Sci Technol 2018 Dec 23:1932296818818429. Epub 2018 Dec 23.

1 Department of Nephrology, Osaka City University Graduate School of Medicine, Osaka, Japan.

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http://dx.doi.org/10.1177/1932296818818429DOI Listing
December 2018

Diabetes Care and Management Using Electronic Medical Records: A Systematic Review.

J Diabetes Sci Technol 2018 Dec 17:1932296818815507. Epub 2018 Dec 17.

1 University of Massachusetts Boston, Boston, MA, USA.

Background:: Diabetes treatment and management provide a unique opportunity for examination of the effectiveness of electronic health records (EHRs) on patient health outcomes, continuity of care, and areas for further development. This systematic literature review was designed to identify the strengths and limitations of EHR and opportunities for improvement proposed in original research and recent rigorous systematic reviews.

Methods:: This review utilized methodology adapted from PRISMA. Read More

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http://dx.doi.org/10.1177/1932296818815507DOI Listing
December 2018
9 Reads

Assessment of System Accuracy, Intermediate Measurement Precision, and Measurement Repeatability of a Blood Glucose Monitoring System Based on ISO 15197.

J Diabetes Sci Technol 2018 Dec 14:1932296818821105. Epub 2018 Dec 14.

1 Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany.

Background:: Analytical quality of blood glucose monitoring systems (BGMS) is an important aspect for many diabetes patients. Sufficiently high analytical quality is required for adequate diabetes therapy.

Methods:: In this study, system accuracy and measurement precision of a BGMS were assessed based on ISO 15197:2013. Read More

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http://dx.doi.org/10.1177/1932296818821105DOI Listing
December 2018
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Subcutaneous Insulin Administration: Sufficient Progress or Ongoing Need?

J Diabetes Sci Technol 2018 Dec 7:1932296818817011. Epub 2018 Dec 7.

3 Science Consulting in Diabetes GmbH, Neuss, Germany.

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http://dx.doi.org/10.1177/1932296818817011DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6313289PMC
December 2018

A New Algorithm Dedicated to Blood Glucose Monitoring in Insulin-Treated Elderly Dependent People With Diabetes.

J Diabetes Sci Technol 2018 Dec 12:1932296818815453. Epub 2018 Dec 12.

2 Silvermed Institute, State Geriatric Center, Marseille, France.

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http://dx.doi.org/10.1177/1932296818815453DOI Listing
December 2018

Closing the Loop: Optimizing Diabetes Care in the Hospital by Addressing Dispersed Information in Electronic Health Records and Using Clinical Decision Support.

J Diabetes Sci Technol 2018 Dec 10:1932296818817005. Epub 2018 Dec 10.

2 Penn State University College of Medicine, Hershey, PA, USA.

Multiple factors hinder the management of diabetes in hospitals. Amid the demands of practice, health care providers must collect, collate, and analyze multiple data points to optimally interpret glucose control and manage insulin dosing. Such data points are commonly dispersed in different sections of electronic health records (EHR), and the system for data display and physician interaction with the EHR are often poorly conducive to seamless clinical decision making. Read More

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http://dx.doi.org/10.1177/1932296818817005DOI Listing
December 2018

Evaluation of Point of Care Analyzer for Hemoglobin A1c.

J Diabetes Sci Technol 2018 Nov 27:1932296818814544. Epub 2018 Nov 27.

1 Biochemistry Laboratory, Lapeyronie Hospital, Montpellier, France.

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http://dx.doi.org/10.1177/1932296818814544DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6313273PMC
November 2018
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What Are PWDs (People With Diabetes) Doing Online? A Netnographic Analysis.

J Diabetes Sci Technol 2018 Nov 27:1932296818813192. Epub 2018 Nov 27.

4 Pennsylvania State University, State College, PA, USA.

Background:: Social media have become a crucial channel for patient empowerment and peer support. New qualitative research underscores the fact that this "support" transcends mental health concerns, to actually provide patients with important practical tips and tricks for diabetes self-care, and product selection/decision-making information from peers.

Methods:: Netnography is an emerging methodology that applies an ethnographic research approach to studying activity on the social web. Read More

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http://dx.doi.org/10.1177/1932296818813192DOI Listing
November 2018
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Insulin Pumping Patches: Emerging Insulin Delivery Systems.

J Diabetes Sci Technol 2018 Nov 22:1932296818814541. Epub 2018 Nov 22.

1 Division of Endocrinology, Mayo Clinic Arizona, Scottsdale, AZ, USA.

In this special section of JDST, patch-pump delivery systems ("patch pumps") are discussed. Patch pumps are novel insulin delivery systems that have emerged on the market; offering flexible insulin delivery options. These systems offer several advantages over conventional insulin pump delivery systems and are gaining popularity. Read More

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http://dx.doi.org/10.1177/1932296818814541DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6313284PMC
November 2018

Continuous Glucose Monitoring Integration in Clinical Practice: A Stepped Guide to Data Review and Interpretation.

J Diabetes Sci Technol 2018 Nov 19:1932296818813581. Epub 2018 Nov 19.

2 Northwestern Medicine Diabetes Training and Education Program, Division of Endocrinology, Metabolism and Molecular Medicine, Northwestern Medical Group, Chicago, IL, USA.

Background:: The advent of continuous glucose monitoring (CGM) technology has transformed the approach to diabetes care. Multiple CGM systems are commercially available and increased accuracy has allowed development of hybrid and automated insulin delivery systems. Evidence of CGM clinical benefits has also increased exponentially in the last decade. Read More

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http://dx.doi.org/10.1177/1932296818813581DOI Listing
November 2018
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Analysis of "Performance of a Factory-Calibrated, Real-Time Continuous Glucose Monitoring System in Pediatric Participants With Type 1 Diabetes".

Authors:
Ralph Ziegler

J Diabetes Sci Technol 2018 Nov 19:1932296818811672. Epub 2018 Nov 19.

1 Diabetes Clinic for Children and Adolescents, Muenster, Germany.

Accuracy of sensors play an important role in the acceptance and long-term use of CGM which is related to improved glycemic outcome. This has been lower in children and adolescents in the past for reasons such as size of the device, pain, and necessity to calibrate sensors but also inaccuracy and perceived nonreliability on alarms among others. In the study of Welsh et al, performance of a new, factory-calibrated sensor was assessed. Read More

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http://dx.doi.org/10.1177/1932296818811672DOI Listing
November 2018

Diabetes on Twitter: A Sentiment Analysis.

J Diabetes Sci Technol 2018 Nov 19:1932296818811679. Epub 2018 Nov 19.

3 Department of Clinical Medicine, Faculty of Health Sciences, UiT-The Arctic University of Norway, Tromsø, Norway.

Background:: Contents published on social media have an impact on individuals and on their decision making. Knowing the sentiment toward diabetes is fundamental to understanding the impact that such information could have on people affected with this health condition and their family members. The objective of this study is to analyze the sentiment expressed in messages on diabetes posted on Twitter. Read More

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http://dx.doi.org/10.1177/1932296818811679DOI Listing
November 2018
10 Reads

Measures of Accuracy for Continuous Glucose Monitoring and Blood Glucose Monitoring Devices.

J Diabetes Sci Technol 2018 Nov 19:1932296818812062. Epub 2018 Nov 19.

3 LifeScan Inc, Wayne, PA, USA.

Currently, patients with diabetes may choose between two major types of system for glucose measurement: blood glucose monitoring (BGM) systems measuring glucose within capillary blood and continuous glucose monitoring (CGM) systems measuring glucose within interstitial fluid. Although BGM and CGM systems offer different functionality, both types of system are intended to help users achieve improved glucose control. Another area in which BGM and CGM systems differ is measurement accuracy. Read More

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http://journals.sagepub.com/doi/10.1177/1932296818812062
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http://dx.doi.org/10.1177/1932296818812062DOI Listing
November 2018
15 Reads