Changes in Self-Care Behavior (Summary of Diabetes Self-Care Activities Measure) Using Real-Time Blood Glucose Monitoring with the Free Style Libre

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 902-P
Author(s):  
AYAE KUDARA ◽  
TAKAHIRO TOSAKI ◽  
SHIORI SATO ◽  
AKEMI INAGAKI ◽  
MASAKI KONDO ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Real Time ◽  
Glucose Monitoring ◽  
Self Care ◽  
Blood Glucose Monitoring ◽  
Care Behavior

Healthcare Utilization, Costs, and Adverse Events of Real-Time Continuous Glucose Monitoring (rtCGM) versus Traditional Blood Glucose Monitoring (BG) among US Adults with Type 1 Diabetes

2021 ◽  
pp. 193229682110315
Author(s):  
Benjamin Wong ◽  
Yalin Deng ◽  
Karen L. Rascati
Keyword(s):  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Adverse Events ◽  
Real Time ◽  
Healthcare Utilization ◽  
Continuous Glucose Monitoring ◽  
Glucose Monitoring ◽  
Medical Costs ◽  
Blood Glucose Monitoring

Objective: To compare healthcare utilization, costs, and incidence of diabetes-specific adverse events (ie, hyperglycemia, diabetic ketoacidosis, and hypoglycemia) in type 1 diabetes adult patients using real-time continuous glucose monitoring (rtCGM) versus traditional blood glucose monitoring (BG). Methods: Adult patients (≥18 years old) with type 1 diabetes in a large national administrative claims database between 2013 and 2015 were identified. rtCGM patients with 6-month continuous health plan enrollment and ≥1 pharmacy claim for insulin during pre-index and post-index periods were propensity-score matched with BG patients. Healthcare utilization associated with diabetic adverse events were examined. A difference-in-difference (DID) method was used to compare the change in costs between rtCGM and BG cohorts. Results: Six-month medical costs for rtCGM patients ( N = 153) increased from pre- to post-index period, while they decreased for matched BG patients ( N = 153). DID analysis indicated a $2,807 ( P = .062) higher post-index difference in total medical costs for rtCGM patients. Pharmacy costs for both cohorts increased. DID analysis indicated a $1,775 ( P < .001) higher post-index difference in pharmacy costs for rtCGM patients. The incidence of hyperglycemia for both cohorts increased minimally from pre- to post-index period. The incidence of hypoglycemia for rtCGM patients decreased, while it increased marginally for BG patients. Inpatient hospitalizations for rtCGM and BG patients increased and decreased marginally, respectively. Conclusions: rtCGM users had non-significantly higher pre-post differences in medical costs but significantly higher pre-post differences in pharmacy costs (mostly due to the rtCGM costs themselves) compared to BG users. Changes in adverse events were minimal.

scholarly journals Flash Glucose Monitoring Technology Impact on Diabetes Self-Care Behavior

2019 ◽  
Vol 14 (2) ◽  
pp. 130-132 ◽  
Author(s):  
Nicole D. White ◽  
Emily Knezevich
Keyword(s):  
Blood Glucose ◽  
Glucose Monitoring ◽  
Self Care ◽  
Innovative Technology ◽  
Future Research ◽  
Self Monitoring ◽  
Flash Glucose Monitoring ◽  
Glucose Levels ◽  
Blood Glucose Levels ◽  
Care Behavior

Individuals with diabetes play a significant role in the control of their condition by participating in their own care. Self-monitoring of blood glucose is of particular importance in maintaining adequate glycemic control but when obtained using traditional fingerstick methods, is often limited with by cost, fear of needles or pain and inconvenience. Flash glucose monitoring is an innovative technology available to address these barriers and help people with diabetes better manage their blood glucose levels. Data demonstrating increased frequency in glucose monitoring, patient perspectives related to self-care behaviors, and implications for practice and future research are described.

Self-as-Doer for Diabetes: Development and Validation of a Diabetes-Specific Measure of Doer Identification

2013 ◽  
Vol 21 (2) ◽  
pp. 188-209 ◽  
Author(s):  
Amanda M. Brouwer ◽  
Katie E. Mosack
Keyword(s):  
Glucose Monitoring ◽  
Self Care ◽  
Reliability And Validity ◽  
Blood Glucose Monitoring ◽  
Specific Measure ◽  
Diabetes Development ◽  
Development And Validation ◽  
Care Behavior

Background: The purpose of this study was to develop and validate a scale to measure the level of self-care behavior “doer identity” in persons with diabetes. Methods: Persons with diabetes (N = 355) completed questionnaires assessing self-as-doer identity and other related constructs. Principle components and parallel analyses and tests of reliability and validity were performed. Results: A 7 factor solution explained 55.24% of the total variance on behaviors. Cronbach’s alpha was .93 for the overall scale. Extracted components moderately correlated with one another and theoretically similar constructs. Self-as-doer identity significantly predicted all self-care behaviors (except for blood glucose monitoring) and glycemic control over and above related variables for persons with type 1 diabetes. Self-as-doer identity also predicted diet behaviors for persons with type 2 diabetes. Conclusions: Evidence for a reliable and valid factor structure of the Self-as-doer-Diabetes measure was demonstrated.

Empowerment and Social Support as Predictors of Self-Care Behaviors and Glycemic Control in Individuals With Type 2 Diabetes

2017 ◽  
Vol 27 (4) ◽  
pp. 395-413 ◽  
Author(s):  
Hamdiye Arda Sürücü ◽  
Dilek Büyükkaya Besen ◽  
Elif Yeter Erbil
Keyword(s):  
Social Support ◽  
Type 2 Diabetes ◽  
Blood Glucose ◽  
Glycemic Control ◽  
Linear Regression Analysis ◽  
Glucose Monitoring ◽  
Self Care ◽  
Blood Glucose Monitoring ◽  
Foot Care

This study investigated empowerment, social support, and diabetes-related characteristics as predictors of self-care behaviors and glycemic control in individuals with type 2 diabetes in Turkey. Descriptive cross-sectional and relational research designs were used in this study. The study was carried out with a cohort of 220 individuals with type 2 diabetes. Linear regression analysis revealed that patient empowerment was a statistically significant predictor of diet (β = .30; p < .001), exercise (β = .19; p = .003), blood glucose monitoring (β = .27; p < .001), foot care (β = .27; p < .001), and A1c (β = −.19; p = .004). Social support was a statistically significant predictor of diet (β = .24; p < .001), exercise (β = .26; p < .001), blood glucose monitoring (β = .16; p = .011), and foot care (β = .19; p = .003). These results indicate that social support and empowerment are important for nurses to consider when planning interventions that increase the self-care behavior of individuals with type 2 diabetes and for improving glycemic control.

scholarly journals mHealth Real-Time Blood Glucose Monitoring Facilitates Glycemic Management

2016 ◽  
Vol 11 (1) ◽  
pp. 172-173 ◽  
Author(s):  
Michelle F. Magee ◽  
Evgenia Gourgari ◽  
Gretchen A. Youssef ◽  
Carine M. Nassar
Keyword(s):  
Blood Glucose ◽  
Real Time ◽  
Glucose Monitoring ◽  
Blood Glucose Monitoring ◽  
Glycemic Management

IoT Based Non Invasive Glucometer Using Optical Method

2017 ◽  
Vol 7 (9) ◽  
pp. 42
Author(s):  
Saina Sunny ◽  
S. Swapna Kumar
Keyword(s):  
Blood Glucose ◽  
Real Time ◽  
Glucose Monitoring ◽  
Blood Glucose Measurement ◽  
Blood Glucose Monitoring ◽  
World Health ◽  
Glucose Measurement ◽  
Body Parts ◽  
Non Invasive ◽  
The World

Analysis and measurement of Diabetes Mellitus (DM) became one of the critical challenges of the coming future. Since by 2030, diabetes effected are increased to 360 million all over the world by the World Health Organization (WHO) analytical study survey results. The main aim of this paper is non invasive and continuous glucose monitoring with the IoT technology involvement. Traditional finger pricking methods pros and cons are notified and tried to rectify its demerits. The designed device consist of an infrared led having a wavelength of 900 to 1100nm for the optical blood glucose measurement. NIR photodiodes used to collect light collected from body parts and regressive analysis is carried out. The signal processing, data algorithm is based on Beer-Lambert’s law. In assistance with internet of things (IoT) in WiFi range push alerts are reached to the patients and their concerns on real time. Therefore, it helps in emergency, continuous real time blood glucose monitoring. An IOT based noninvasive glucose monitoring will be a milestone for emerging and smart generation.

scholarly journals Self-care among patients enrolled in a self-monitoring blood glucose program

2014 ◽  
Vol 35 (4) ◽  
pp. 42-48 ◽  
Author(s):  
Vivian Saraiva Veras ◽  
Manoel Antônio dos Santos ◽  
Flavia Fernanda Luchetti Rodrigues ◽  
Clarissa Cordeiro Alves Arrelias ◽  
Tatiane Aparecida Martins Pedersoli ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Blood Glucose ◽  
Glucose Monitoring ◽  
Self Care ◽  
Blood Glucose Monitoring ◽  
Foot Care ◽  
Cross Sectional ◽  
Self Monitoring ◽  
Glucose Testing ◽  
Patients With Diabetes

This cross-sectional study checks specific self-care activities of patients with diabetes mellitus enrolled in a self-monitoring blood glucose program from August to December 2012 in two Primary Health Care units in the interior of São Paulo, Brazil. The sample was composed of 74 female and male individuals, aged 18 years old or older. The Summary of Diabetes Self-Care Activities Questionnaire was used. It contains six dimensions: general diet, specific diet, physical activity, blood glucose monitoring, foot care, medication usage, plus three items about smoking. Eight out of the 15 self-care activities were within desirable levels, namely: healthy diet, not eating sweets, blood glucose testing and as frequently as recommended, drying between toes after washing feet, and taking medications (three items). The results enabled the identification of gaps in specific self-care activities among patients with diabetes mellitus.

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