scholarly journals SAT-636 The Fast-Evolving Connected Diabetes Care Landscape: Transforming Diabetes Care with Telehealth and Technology

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Brian Levine ◽  
Kelly Close ◽  
Robert Abraham Gabbay

Abstract Background and Aims Recent years have brought about a new form of “connected diabetes care,” defined as digital diabetes management systems based around (1) smartphone apps, (2) devices with built-in connectivity, and (3) remote human and automated coaching and support. Given their potential to help improve health outcomes, the rapid pace of innovation, and the dearth of information about them to guide patients, providers, and payers, we provide an update on the landscape of and trends in connected diabetes care offerings. Methods Prominent connected diabetes care providers that have published results are categorized and characterized. Similarities and differences are identified and the state of available evidence is evaluated. Results Connected diabetes care offerings were analyzed for items including: health conditions managed, care team composition, connected medical devices, and evidence. We expect these players will further expand offerings across chronic conditions, strive to integrate more deeply with the traditional healthcare system, deploy greater automation to promote scalability, and find clever ways to promote and support the use of continuous glucose monitoring in type 2 diabetes. Future evidence generation for this field should have more standardized methodology. Conclusions The field of connected diabetes care has tremendous potential to improve outcomes, but it is in its infancy in terms of awareness, uptake, and effectiveness. Further, questions regarding offerings’ abilities to support most people with diabetes sustainably remain. However, existing evidence is sufficient to support further exploration and refinement of the model as the next step in team-based diabetes care.

2019 ◽  
pp. 105984051986174
Author(s):  
Suzuho Shimasaki ◽  
Pamela Brunner Nii ◽  
Lisa Davis ◽  
Erin Bishop ◽  
Cari Berget ◽  
...  

Type I diabetes (T1D) is one of the most common childhood diseases and Type 2 diabetes (T2D) is increasing at alarming rates. Given that children spend a great percentage of their time in school, this setting is a critical environment for models of care that lead to better management of this and other health conditions. The School Nurses Managing Diabetes Care ECHO was offered to Colorado school nurses to build their capacity in providing evidence-based management of T1D. The purpose of this effort was to (1) determine whether or not the model could be used as a tool of collaboration and dissemination for school nurses across Colorado and (2) assess the effectiveness of the “School Nurses Managing Diabetes Care” ECHO learning series. Post-series survey results demonstrated a 25% increase in self-efficacy ratings, moving learners from “average among my peers” toward “competent.” Additionally, all respondents planned to make one or more practice changes to improve care for students with T1D. Expanding the use of the ECHO model to implement intensive management of children and youth with T1D is critically important as rates of this and other chronic conditions continue to increase.


2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Gina Agarwal ◽  
Janusz Kaczorowski ◽  
Steve Hanna

Objective. Diabetes care is an important part of family practice. Previous work indicates that diabetes management is variable. This study aimed to examine diabetes care according to best practices in one part of Ontario. Design and Participants. A retrospective chart audit of 96 charts from 18 physicians was conducted to examine charts regarding diabetes care during a one-year period. Setting. Grimsby, Ontario. Main Outcome Measures. Glycemic screening, control and management strategies, documentation and counselling for lifestyle habits, prevalence of comorbidities, screening for hypertension, hyperlipidemia, and use of appropriate recommended preventive medications in the charts were examined. Results. Mean A1c was within target (less than or equal to 7.00) in 76% of patients (ICC = −0.02), at least 4 readings per annum were taken in 75% of patients (ICC = 0.006). Nearly 2/3 of patients had been counselled about diet, more than 1/2 on exercise, and nearly all (90%) were on medication. Nearly all patients had a documented blood pressure reading and lipid profile. Over half (60%) had a record of their weight and/or BMI. Conclusion. Although room for improvement exists, diabetes targets were mainly reached according to recognized best practices, in keeping with international data on attainment of diabetes targets.


2020 ◽  
Author(s):  
Julie C Lauffenburger ◽  
Renee A Barlev ◽  
Ellen S Sears ◽  
Punam A Keller ◽  
Marie E McDonnell ◽  
...  

BACKGROUND Individuals with diabetes need regular support to help them manage their diabetes on their own, ideally delivered via mechanisms that they already use, such as their mobile phones. One reason for the modest effectiveness of prior technology-based interventions may be that the patient perspective has been insufficiently incorporated. OBJECTIVE This study aims to understand patients’ preferences for mobile health (mHealth) technology and how that technology can be integrated into patients’ routines, especially with regard to medication use. METHODS We conducted semistructured qualitative individual interviews with patients with type 2 diabetes from an urban health care system to elicit and explore their perspectives on diabetes medication–taking behaviors, daily patterns of using mobile technology, use of mHealth technology for diabetes care, acceptability of text messages to support medication adherence, and preferred framing of information within text messages to support diabetes care. The interviews were digitally recorded and transcribed. The data were analyzed using codes developed by the study team to generate themes, with representative quotations selected as illustrations. RESULTS We conducted interviews with 20 participants, of whom 12 (60%) were female and 9 (45%) were White; in addition, the participants’ mean glycated hemoglobin A<sub>1c</sub> control was 7.8 (SD 1.1). Overall, 5 key themes were identified: patients try to incorporate <i>cues</i> into their routines to help them with consistent medication taking; many patients leverage some form of technology as a cue to support adherence to medication taking and diabetes self-management behaviors; patients value simplicity and integration of technology solutions used for diabetes care, managing medications, and communicating with health care providers; some patients express reluctance to rely on mobile technology for these diabetes care behaviors; and patients believe they prefer positively framed communication, but communication preferences are highly individualized. CONCLUSIONS The participants expressed some hesitation about using mobile technology in supporting diabetes self-management but have largely incorporated it or are open to incorporating it as a cue to make medication taking more automatic and less burdensome. When using technology to support diabetes self-management, participants exhibited individualized preferences, but overall, they preferred simple and positively framed communication. mHealth interventions may be improved by focusing on integrating them easily into daily routines and increasing the customization of content.


2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Zoe Pafili ◽  
Sophia Samara ◽  
Charilaos Dimosthenopoulos ◽  
Olga Gkortzi

AbstractIntroductionAccording to diabetes care standards nutrition therapy should be an integral part of diabetes management, and all individuals with diabetes should be referred to a registered dietitian for nutrition therapy at—or soon after—diagnosis and for ongoing follow-up. There is limited international data that indicate that a large percentage of people with diabetes have not received structured diabetes education and have not visited a dietitian. The aim of this study was to assess the involvement of dietitians in diabetes care in Greece.Materials and MethodsAll adult diabetic patients admitted to a secondary care general hospital in Greece during 30 consecutive days were included in the study. Patients admitted in the ICU, CICU, day clinics and hemodialysis patients were excluded. Data were obtained by personal interviews using a 40 item questionnaire which included 10 questions regarding number of visits to dietitians for diabetes management, whether patients were referred by their doctors or sought dietary advice by their own, reasons for visiting a dietitian, goal achievement and patient satisfaction.ResultsIn total 124 patients (68 males and 56 females) with diabetes were admitted to the hospital during the study period (4 type 1, 114 type 2 and 6 pregnancy diabetes). Data were obtained from 3 (22.8 ± 6 yrs, 26.1 ± 5.7kg/m2,8.3 ± 5.9 yrs with diabetes),105 (76.6 ± 11.3 yrs, 28.0 ± 5.3 kg/m2, 12.8 ± 9.3 yrs with diabetes), and 5 (32.6 ± 4.4 yrs, 28.5 ± 4.0 kg/m2) patients with type 1, type 2 and pregnancy diabetes respectively. Two out of 3 type 1 diabetes and 1 out of 5 patients with pregnancy diabetes interviewed reported to have been referred to a dietitian by their doctor. Only 5.7% (6 patients) of type 2 diabetes patients reported to have been referred to a dietitian by their doctor and another 5.7% have visited a dietitian on their own initiative. Five out of 6 referrals were at diabetes diagnosis. The number of encounters with a dietitian ranged from 1 to 24 with patients seeking to loose weight having the greater number of encounters. Of type 2 diabetes patients 94.3% did not receive lifestyle advice before commencing diabetes medication whereas 25% did not receive any dietary advice by any health professional even after starting medication.ConclusionsIn our cohort the majority of diabetes patients had not received dietary counseling by a dietitian, whereas about one fourth of type 2 diabetes patients had not received any dietary advice.


Author(s):  
Allan Jones ◽  
Jakob Eyvind Bardram ◽  
Per Bækgaard ◽  
Claus Lundgaard Cramer-Petersen ◽  
Timothy Skinner ◽  
...  

2014 ◽  
Vol 02 (02) ◽  
pp. 109-111
Author(s):  
Sanjay Kalra ◽  
Yashdeep Gupta

AbstractThere is ongoing debate about the relevance of the ‘guideline approach,” vis-a-vis the “pathophysiologic approach” in the management of diabetes. However, it is disheartening to note that both these stands neglects the most important people involved in diabetes management: The person with diabetes, the family, and the treating physician. We discuss a logical empiricism based approach for diabetes care in this brief communication.


2010 ◽  
Vol 06 (01) ◽  
pp. 48
Author(s):  
Robert M Cuddihy ◽  

Self-monitoring of blood glucose (SMBG) with reflectance meters was heralded as a major advance in the management of diabetes and has been available to individuals with diabetes for home use since the late 1970s. This tool was put to use in the landmark Diabetes Control and Complications Trial (DCCT), which revolutionized care for individuals with type 1 diabetes, enabling these individuals to intensify their glucose control. SMBG has similar benefit in individuals with type 2 diabetes requiring insulin therapy. Its use in other individuals with type 2 diabetes treated with oral agents or non-insulin therapies is less clear. While SMBG is a potentially powerful tool to aid in the daily management of diabetes, to be used effectively, SMBG must be optimized to ensure the information derived from it can be acted on to modify physical activity, dietary intake, or medications to improve glycemic control. Recently, studies looking at this population have called into question the utility of SMBG in the management of individuals with type 2 diabetes treated with non-insulin therapies. However, these studies are lacking in the specifics of how such information was used to modify therapies. In addition to this, the lack of a universally accepted output for SMBG data significantly impedes its uptake and appropriate use by healthcare providers and patients. To maximize the effectiveness of SMBG, both patients and providers need to have a clear understanding of when and how to use SMBG data and, most importantly, act upon the data to effect a change in their diabetes management.


Diabetes Care ◽  
2015 ◽  
Vol 38 (4) ◽  
pp. e64-e64
Author(s):  
Maria Ida Maiorino ◽  
Michela Petrizzo ◽  
Giuseppe Bellastella ◽  
Dario Giugliano ◽  
Katherine Esposito

2021 ◽  
pp. 286-292
Author(s):  
G. E. Runova

Glycemic control represents an integral part of diabetes mellitus (DM) therapy. It is not surprising that diabetes technology is evolving to not only create new routes of insulin administration, but also to improve the measurement of glycemia. A significant number of new glucose monitoring systems have been launched to the market over the past 10 years. Nevertheless, only 30% of patients with type 1 diabetes and very few patients with type 2 diabetes use continuous or flash glucose monitoring. The reason for this is not only the cost and technical difficulties of continuous glucose monitoring, but also its clinical appropriateness. There is indisputable evidence that patients who receive intensified insulin therapy, especially those with type 1 diabetes, need frequent self-monitoring / continuous glucose monitoring. As for patients with type 2 diabetes receiving basal insulin and / or other antihyperglycemic therapy, the data received seem to be contradictory and uncertain. However, most of the recommendations simmer down to the need for self-monitoring of blood glucose levels in patients with type 2 diabetes. The diabetes technology section of the American Diabetes Association guidelines 2021 goes into details about the role of self-monitoring of blood glucose in diabetes management, including the need for continuous patient education on the principles and rules of self-monitoring, interpretation and practical use of the results of self-monitoring, various standards of glucometers, factors affecting the accuracy of the results. 


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