Psychosocial factors associated with use of continuous glucose monitoring

Ritholz, Marilyn D.; Atakov-Castillo, Astrid; Beste, M.; Beverly, Elizabeth A.; Leighton, Alexander H.; Weinger, Katie; Wolpert, Howard

doi:10.1111/j.1464-5491.2010.03061.x

Cited by 84 publications

(159 citation statements)

References 22 publications

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“…For example, although not specifically predictive of frequency of use, other studies have found relations between better outcomes using CGM and patient-report of greater motivation for glycemic control, better coping resources, a better understanding of how to use CGM data, and greater family support, suggesting the opposites of all of these could be additional barriers to use. 11,42 Interventions targeting more frequent CGM use are few. There is 1 trial (NCT01472159) currently under way in the United States that is investigating the impact of a CBT+MI focused intervention on increasing CGM use among adolescents.…”

Section: Real-time Cgmmentioning

confidence: 99%

Adherence to Glycemic Monitoring in Diabetes

Patton

2015

J Diabetes Sci Technol

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Glucose monitoring either by self-monitoring of blood glucose (SMBG) or continuous glucose monitoring (CGM) plays an important role in diabetes management and in reducing risk for diabetes-related complications. However, despite evidence supporting the role of glucose monitoring in better patient health outcomes, studies also reveal relatively poor adherence rates to SMBG and CGM use and numerous patient-reported barriers. Fortunately, some promising intervention strategies have been identified that promote at least short-term improvements in patients' adherence to SMBG. These include education, problem solving, contingency management, goal setting, cognitive behavioral therapy, and motivational interviewing. Specific to CGM, interventions to promote greater use among patients are currently under way, yet one pilot study provides data suggesting better maintenance of CGM use in patients showing greater readiness for behavior change. The purpose of this review is to summarize the literature specific to glucose monitoring in patients with diabetes focusing specifically on current adherence rates, barriers to monitoring, and promising intervention strategies that may be ready to deploy now in the clinic setting to promote greater patient adherence to glucose monitoring. Yet, to continue to help patients with diabetes adhere to glucose monitoring, future research is needed to identify the treatment strategies and the intervention schedules that most likely lead to long-term maintenance of optimal glycemic monitoring levels.

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Section: Real-time Cgmmentioning

confidence: 99%

Adherence to Glycemic Monitoring in Diabetes

Patton

2015

J Diabetes Sci Technol

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“…The 18 studies included in this review consist of 5 qualitative studies [40][41][42][43][44], 5 experimental studies [31][32][33][34][35], 3 observational studies [28][29][30], 4 cross-sectional studies [36][37][38][39] and 1 mixed methods [45]. Five of the studies were smaller samples drawn from parent clinical trials [29,32,38,40,41].…”

Section: Resultsmentioning

confidence: 99%

Human Factors and Data Logging Processes With the Use of Advanced Technology for Adults With Type 1 Diabetes: Systematic Integrative Review (Preprint)

Waite¹,

Martin²,

Franklin³

et al. 2017

Preprint

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Background: People with T1DM are confronted with self-management tasks and strategies to reduce risks of long-term complications against the risk of hypoglycemic events. The potential of advanced and evolving technology to address these issues involves consideration of psychological and behavioral constructs alongside the usability of devices. Access and uptake of advanced technology is further influenced by economic factors and health care provider capacity to support such interventions. Previous reviews have focused upon either clinical outcomes or descriptively scoped the literature and sometimes synthesize studies on adults with children and young people where human factors are different. Objective:The objective of this review was to describe the relationship between human factors and adherence with technology for data logging processes in adults with T1DM and to explore the factors which influence this association. Methods: A systematic literature review.Results: 18 studies were included in the review following a literature search using the PRISMA guidelines and the quality appraisal process. Six 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.There was evidence of increased treatment satisfaction on transition to advanced technology (insulin pump and CGM), the most significant contributing factor was when BG levels were consistently < 7.00mmol/l (P =.009). However, participants spent considerable time on their diabetes self-care. There was evidence that 1 logging of data was positively correlated with increasing age with the use of an app that provided meaningful feedback (regression coefficient = 55.8 recordings/ year; P = 0.009). Furthermore, there were benefits of CGM for older people in mediating complexities and their fears of hypoglycemia with reported significant differences in well-being (P= .009).Qualitative studies within the review aimed to explore the use and uptake of technology within the context of everyday lives. There were 'frustrations' with CGM, CSII, calibration of devices and alarms. In addition, the implications of 'body image' and the way in which 'significant' others impacted on the behavior and attitude of the individual towards technology use. There were wide variations in the normal use of and interaction with technology across a continuum of sociocultural contexts. This has implications for the way in which future technologies are designed. Conclusions:Many of the quantitative studies in the review were limited by small sample sizes. This may make it difficult to generalize findings to other contexts. This is further limited by a sample that was predominantly Caucasian, well-contr...

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“…Higher relationship quality is associated with lower diabetes-related distress, better quality of life, and greater adherence to the medical regimen [8][9][10][11]. Partner encouragement may also help individuals with T1D get more benefit from CGM [12]. A recent T2D-focused study found positive effects on glycemic control for a couples-based health intervention [13].…”

Section: Diabetes and The Role Of Partnersmentioning

confidence: 99%

Partner Perspectives on Closed Loop Systems

Iturralde¹,

Tanenbaum²,

Naranjo³

et al. 2016

PLAID

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Objective: Closed loop automated insulin delivery systems have the potential to transform diabetes management. Partners and relationships will be increasingly affected by these innovations. We examine current understanding of the partner's role in type 1 diabetes (T1D) management and technology, and provide an example of how to elicit partners' perspectives in technology research. Research Design and Methods:We conducted a literature review and a small focus group with the partners of participants enrolled in a 5-day hybrid closed loop (HCL) clinical trial. Couples' questionnaire ratings of diabetes-related distress and hypoglycemia concerns were described.Results: Partners play an integral and often helpful role in managing diabetes. They also report significant diabetes-related distress and fear of hypoglycemia, which have implications for relationships. Closed loop systems offer potential benefits such as hypoglycemia prevention and partners' online access to glucose data ("remote monitoring"). However, disruptive alerts, technical glitches, maintenance tasks, device size, and other drawbacks may strain partners and relationships. A partner focus group elicited several novel themes. Partners gained valuable insights about T1D from remote monitoring and identified hypoglycemia prevention as a major benefit. For all partners, hypoglycemia worries decreased during system use. However, partners also cited vicarious frustrations with the system, concerns about remote monitoring disrupting couple communication, and needs for technology-specific partner education. Conclusion:Closed loop systems stand to affect partners and relationships. As researchers continue to design closed loop systems and devise their integration into standard clinical care, it will be vital to assess partner perspectives to increase satisfaction and success with this technology.

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Psychosocial factors associated with use of continuous glucose monitoring

Cited by 84 publications

References 22 publications

Adherence to Glycemic Monitoring in Diabetes

Adherence to Glycemic Monitoring in Diabetes

Human Factors and Data Logging Processes With the Use of Advanced Technology for Adults With Type 1 Diabetes: Systematic Integrative Review (Preprint)

Partner Perspectives on Closed Loop Systems

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