New Advanced Technology to Improve Prediction & Prevention of Type 1 Diabetes

BACKGROUND People with type 1 diabetes (T1D) undertake self-management to prevent short and long-term complications. Advanced technology potentially supports such activities but requires consideration of psychological and behavioral constructs and usability issues. Economic factors and health care provider capacity influence access and uptake of advanced technology. Previous reviews have focused upon clinical outcomes or were descriptive or have synthesized studies on adults with those on children and young people where human factors are different. OBJECTIVE This review described and examined the relationship between human factors and adherence with technology for data logging processes in adults with T1D. METHODS A systematic literature search was undertaken by using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Quality appraisal was undertaken and data were abstracted and categorized into the themes that underpinned the human factor constructs that were examined. RESULTS A total of 18 studies were included. A total of 6 constructs emerged from the data analysis: the relationship between adherence to data logging and measurable outcomes; satisfaction with the transition to advanced technology for self-management; use of advanced technology and time spent on diabetes-related activities; strategies to mediate the complexities of diabetes and the use of advanced technology; cognition in the wild; and meanings, views, and perspectives from the users of technology. CONCLUSIONS Increased treatment satisfaction was found on transition from traditional to advanced technology use—insulin pump and continuous glucose monitoring (CGM); the most significant factor was when blood glucose levels were consistently <7.00 mmol/L (P ≤.01). Participants spent considerable time on their diabetes self-care. Logging of data was positively correlated with increasing age when using an app that provided meaningful feedback (regression coefficient=55.8 recordings/year; P ≤.01). There were benefits of CGM for older people in mediating complexities and fears of hypoglycemia with significant differences in well-being (P ≤.001). Qualitative studies explored the contextual use and uptake of technology. The results suggested frustrations with CGM, continuous subcutaneous insulin infusion, calibration of devices, and alarms. Furthermore implications for “body image” and the way in which “significant others” impacted on the behavior and attitude of the individual toward technology use. There were wide variations in the normal use of and interaction with technology across a continuum of sociocultural contexts, which has implications for the way in which future technologies should be designed. Quantitative studies were limited by small sample sizes, making it difficult to generalize findings to other contexts. This was further limited by a sample that was predominantly white, well-controlled, and engaged with self-care. The use of critical appraisal frameworks demonstrated where research into human factors and data logging processes of individuals could be improved. This included engaging people in the design of the technology, especially hard-to-reach or marginalized groups.

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Values and control in type 1 diabetes beyond glycemic outcomes: A qualitative interview study of everyday life with an insulin pump

Chronic Illness ◽

10.1177/17423953211023962 ◽

2021 ◽

pp. 174239532110239

Author(s):

Bryan Cleal ◽

Mette Andersen Nexø ◽

Signe Schmidt ◽

Karen Rytter ◽

Kirsten Nørgaard ◽

...

Keyword(s):

Type 1 Diabetes ◽

Everyday Life ◽

Diabetes Care ◽

Insulin Pump ◽

Qualitative Interviews ◽

Healthcare Providers ◽

Advanced Technology ◽

Diabetes Technology ◽

Qualitative Interview Study

Objectives Diabetes technology provides people with diabetes with new opportunities, but the transformations allowed by new technology do not necessarily provide improvements in clinical metrics applied in diabetes care. This study seeks to understand how everyday life impacts on the way people use diabetes technology and how this influences diabetes care. Methods Individual semi-structured qualitative interviews with 21 adults with type 1 diabetes treated with insulin pumps were recruited from two Danish diabetes outpatient clinics. Data were analyzed abductively and interpreted according to predetermined and emergent perspectives. Results Transformations in care practices derived from new technological therapies were generally well-supported by healthcare providers, but adaptation to everyday life was often challenging. More advanced technology enabled people to better control diabetes, but the control they sought was defined by individual life experiences/factors. Work involved in controlling blood glucose could cause a sense of feeling controlled by diabetes in everyday life. Discussion Everyday life with diabetes is often characterized by uncertainty and individual coping strategies are imbued with values that extend beyond purely clinical concerns and reflect the sociality of everyday life. The social values influencing individual decision-making regarding diabetes technology could be effectively expanded and enhanced with integrated peer-supported learning.

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