scholarly journals A mobile app identifies momentary psychosocial and contextual factors related to mealtime self-management in adolescents with type 1 diabetes

2019 ◽  
Vol 26 (12) ◽  
pp. 1627-1631 ◽  
Author(s):  
Shelagh A Mulvaney ◽  
Sarah E Vaala ◽  
Rachel B Carroll ◽  
Laura K Williams ◽  
Cindy K Lybarger ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Problem Solving ◽  
Ecological Momentary Assessment ◽  
Mobile App ◽  
Self Management ◽  
Within Subjects ◽  
Ecological Momentary ◽  
Momentary Assessment

Abstract Effective diabetes problem solving requires identification of risk factors for inadequate mealtime self-management. Ecological momentary assessment was used to enhance identification of factors hypothesized to impact self-management. Adolescents with type 1 diabetes participated in a feasibility trial for a mobile app called MyDay. Meals, mealtime insulin, self-monitored blood glucose, and psychosocial and contextual data were obtained for 30 days. Using 1472 assessments, mixed-effects between-subjects analyses showed that social context, location, and mealtime were associated with missed self-monitored blood glucose. Stress, energy, mood, and fatigue were associated with missed insulin. Within-subjects analyses indicated that all factors were associated with both self-management tasks. Intraclass correlations showed within-subjects accounted for the majority of variance. The ecological momentary assessment method provided specific targets for improving self-management problem solving, phenotyping, or integration within just-in-time adaptive interventions.

scholarly journals Use of Ecological Momentary Assessment to Measure Self-Monitoring of Blood Glucose Adherence in Youth With Type 1 Diabetes

2020 ◽  
Vol 33 (3) ◽  
pp. 280-289 ◽  
Author(s):  
Jennifer L. Warnick ◽  
Sarah C. Westen ◽  
Anastasia Albanese-O’Neill ◽  
Stephanie L. Filipp ◽  
Desmond Schatz ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Ecological Momentary Assessment ◽  
Self Monitoring ◽  
Ecological Momentary ◽  
Momentary Assessment

scholarly journals Technological Ecological Momentary Assessment Tools to Study Type 1 Diabetes in Youth: Viewpoint of Methodologies

JMIR Diabetes ◽  
10.2196/27027 ◽  
2021 ◽  
Vol 6 (2) ◽  
pp. e27027
Author(s):  
Mary Katherine Ray ◽  
Alana McMichael ◽  
Maria Rivera-Santana ◽  
Jacob Noel ◽  
Tamara Hershey
Keyword(s):  
Type 1 Diabetes ◽  
Ecological Momentary Assessment ◽  
Diabetes Care ◽  
Daily Life ◽  
Blood Pressure Monitoring ◽  
Assessment Tools ◽  
Personal Digital Assistants ◽  
Ecological Momentary ◽  
Momentary Assessment

Type 1 diabetes (T1D) is one of the most common chronic childhood diseases, and its prevalence is rapidly increasing. The management of glucose in T1D is challenging, as youth must consider a myriad of factors when making diabetes care decisions. This task often leads to significant hyperglycemia, hypoglycemia, and glucose variability throughout the day, which have been associated with short- and long-term medical complications. At present, most of what is known about each of these complications and the health behaviors that may lead to them have been uncovered in the clinical setting or in laboratory-based research. However, the tools often used in these settings are limited in their ability to capture the dynamic behaviors, feelings, and physiological changes associated with T1D that fluctuate from moment to moment throughout the day. A better understanding of T1D in daily life could potentially aid in the development of interventions to improve diabetes care and mitigate the negative medical consequences associated with it. Therefore, there is a need to measure repeated, real-time, and real-world features of this disease in youth. This approach is known as ecological momentary assessment (EMA), and it has considerable advantages to in-lab research. Thus, this viewpoint aims to describe EMA tools that have been used to collect data in the daily lives of youth with T1D and discuss studies that explored the nuances of T1D in daily life using these methods. This viewpoint focuses on the following EMA methods: continuous glucose monitoring, actigraphy, ambulatory blood pressure monitoring, personal digital assistants, smartphones, and phone-based systems. The viewpoint also discusses the benefits of using EMA methods to collect important data that might not otherwise be collected in the laboratory and the limitations of each tool, future directions of the field, and possible clinical implications for their use.

scholarly journals Technological Ecological Momentary Assessment Tools to Study Type 1 Diabetes in Youth: Viewpoint of Methodologies (Preprint)

2021 ◽  
Author(s):  
Mary Katherine Ray ◽  
Alana McMichael ◽  
Maria Rivera-Santana ◽  
Jacob Noel ◽  
Tamara Hershey
Keyword(s):  
Type 1 Diabetes ◽  
Ecological Momentary Assessment ◽  
Diabetes Care ◽  
Daily Life ◽  
Blood Pressure Monitoring ◽  
Assessment Tools ◽  
Personal Digital Assistants ◽  
Ecological Momentary ◽  
Momentary Assessment

UNSTRUCTURED Type 1 diabetes (T1D) is one of the most common chronic childhood diseases, and its prevalence is rapidly increasing. The management of glucose in T1D is challenging, as youth must consider a myriad of factors when making diabetes care decisions. This task often leads to significant hyperglycemia, hypoglycemia, and glucose variability throughout the day, which have been associated with short- and long-term medical complications. At present, most of what is known about each of these complications and the health behaviors that may lead to them have been uncovered in the clinical setting or in laboratory-based research. However, the tools often used in these settings are limited in their ability to capture the dynamic behaviors, feelings, and physiological changes associated with T1D that fluctuate from moment to moment throughout the day. A better understanding of T1D in daily life could potentially aid in the development of interventions to improve diabetes care and mitigate the negative medical consequences associated with it. Therefore, there is a need to measure repeated, real-time, and real-world features of this disease in youth. This approach is known as ecological momentary assessment (EMA), and it has considerable advantages to in-lab research. Thus, this viewpoint aims to describe EMA tools that have been used to collect data in the daily lives of youth with T1D and discuss studies that explored the nuances of T1D in daily life using these methods. This viewpoint focuses on the following EMA methods: continuous glucose monitoring, actigraphy, ambulatory blood pressure monitoring, personal digital assistants, smartphones, and phone-based systems. The viewpoint also discusses the benefits of using EMA methods to collect important data that might not otherwise be collected in the laboratory and the limitations of each tool, future directions of the field, and possible clinical implications for their use.

824-P: Ecological Momentary Assessment of Diabetes Self-Management: A Systematic Review of Methods and Procedures

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 824-P
Author(s):  
SOOHYUN NAM ◽  
ROBIN WHITTEMORE ◽  
DAVID VLAHOV ◽  
GENEVIEVE DUNTON
Keyword(s):  
Systematic Review ◽  
Ecological Momentary Assessment ◽  
Self Management ◽  
Ecological Momentary ◽  
Momentary Assessment

scholarly journals Self-management problem solving for adolescents with type 1 diabetes: Intervention processes associated with an Internet program

2011 ◽  
Vol 85 (2) ◽  
pp. 140-142 ◽  
Author(s):  
Shelagh A. Mulvaney ◽  
Russell L. Rothman ◽  
Chandra Y. Osborn ◽  
Cindy Lybarger ◽  
Mary S. Dietrich ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Problem Solving ◽  
Self Management ◽  
Management Problem ◽  
Diabetes Intervention ◽  
Internet Program

scholarly journals Experiences of Adults With Type 1 Diabetes Using Glucose Sensor–Based Mobile Technology for Glycemic Variability: Qualitative Study (Preprint)

2019 ◽  
Author(s):  
Marilyn D Ritholz ◽  
Owen Henn ◽  
Astrid Atakov Castillo ◽  
Howard Wolpert ◽  
Stephanie Edwards ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Qualitative Study ◽  
Mobile Technology ◽  
Glucose Sensor ◽  
Self Care ◽  
Glycemic Variability ◽  
Mobile App ◽  
Self Management ◽  
Freestyle Libre

BACKGROUND Adults with type 1 diabetes (PWDs) face challenging self-management regimens including monitoring their glucose values multiple times a day to assist with achieving glycemic targets and reduce the risk of long-term diabetes complications. Recent advances in diabetes technology have reportedly improved glycemia, but little is known about how PWDs utilize mobile technology to make positive changes in their diabetes self-management. OBJECTIVE The aim of this qualitative study was to explore PWDs’ experiences using Sugar Sleuth, a glucose sensor–based mobile app and Web-based reporting system, integrated with the FreeStyle Libre glucose monitor that provides feedback about glycemic variability. METHODS We used a qualitative descriptive research design and conducted semistructured interviews with 10 PWDs (baseline mean glycated hemoglobin, HbA1c) 8.0%, (SD 0.45); 6 males and 4 females, aged 52 years (SD 15), type 1 diabetes (T1D) duration 31 years (SD 13), 40% (4/10, insulin pump) following a 14-week intervention during which they received clinical support and used Sugar Sleuth to evaluate and understand their glucose data. Audio-recorded interviews were transcribed, coded, and analyzed using thematic analysis and NVivo 11 (QSR International Pty Ltd). RESULTS A total of 4 main themes emerged from the data. Participants perceived Sugar Sleuth as an Empowering Tool that served to inform lifestyle choices and diabetes self-management tasks, promoted preemptive self-care actions, and improved discussions with clinicians. They also described Sugar Sleuth as providing a Source of Psychosocial Support and offering relief from worry, reducing glycemic uncertainty, and supporting positive feelings about everyday life with diabetes. Participants varied in their Approaches to Glycemic Data: 40% (4/10) described using Sugar Sleuth to review data, understand glycemic cause and effect, and plan for future self-care. On the contrary, 60% (6/10) were reluctant to review past data; they described receiving benefits from the immediate numbers and trend arrows, but the app still prompted them to enter in the suspected causes of glucose excursions within hours of their occurrence. Finally, only 2 participants voiced Concerns About Use of Sugar Sleuth; they perceived the app as sometimes too demanding of information or as not attuned to the socioeconomic backgrounds of PWDs from diverse populations. CONCLUSIONS Results suggest that Sugar Sleuth can be an effective educational tool to enhance both patient-clinician collaboration and diabetes self-management. Findings also highlight the importance of exploring psychosocial and socioeconomic factors that may advance the understanding of PWDs’ individual differences when using glycemic technology and may promote the development of customized mobile tools to improve diabetes self-management.

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