Diabetes Self-management Research Articles

Dialysis More Available Than Patient Education in Counties With High Diabetes Prevalence.

Poorly controlled diabetes is a principal cause of end stage renal disease (ESRD), generating an estimated 44% of new cases. Diabetes self-management education and support (DSMES) has been documented to reduce adverse outcomes such as ESRD. Helping patients better manage their condition could ultimately reduce ESRD prevalence. We compared the county-level availability of DSMES and dialysis as of November 2022 sorted by the estimated prevalence of diabetes among residents aged 18 years or older. The locations of DSMES programs and ESRD dialysis facilities were obtained from 2 professional organizations and the Centers for Medicare & Medicade Services. Estimated diabetes prevalence was obtained from the Centers for Disease Control and Prevention's PLACES data set. Counties were considered to have high diabetes prevalence if they fell into the top quartile for diabetes prevalence in 2019 (≥14.4% of adults). Analyses were conducted in 2023. DSMES was available in 41.0% of counties but in only 20.7% of counties with high diabetes prevalence versus 47.9% of low prevalence counties. Dialysis facilities were present in 59.2% of all counties, in 52.8% of all high diabetes prevalence counties, and in 61.4% of other counties. DSMES availability was linked to the presence of a hospital in the county, with only 6.3% of counties without a hospital offering the service. DSMES could play a role in reducing the prevalence of ESRD. Public health professionals need to be aware of the differing levels of local availability of this service and work to develop partnerships to provide DSMES in high-prevalence areas not currently served.

Beyond Glucose Monitoring: Multianalyte Sensor Use in Diabetes.

The incidence, prevalence, mortality, and health expenditure associated with diabetes continue to grow, despite efforts. The use of multianalyte sensors, which detect glucose as well as key analytes such as ketones, lactate, insulin, uric acid, and electrolytes, may provide additional information to guide earlier identification and management of diabetes and its complications. We undertook a narrative review using a systematic approach in May 2023, with a bridge search undertaken in April 2024. Four biomedical databases were searched: MEDLINE (Ovid), Embase, Emcare, and Cochrane Library. Searches for gray literature were conducted on ClinicalTrials.gov, Google Scholar, and websites of relevant organizations. Included studies incorporated articles on multianalyte sensors in diabetes and single-analyte sensors proposing integration into multianalyte diabetes management, with no limits placed on publication date and study design. Data were screened and extracted using CovidenceTM software. Overall, 11 articles were included, of which 7 involved multianalyte sensors (involving glucose and other analytes) and 4 single-analyte sensors (measuring non-glucose substances for proposed future integration into multianalyte systems). Analytes examined were ketones (n = 3), lactate (n = 4), uric acid (n = 3), insulin (n = 1), and potassium (n = 1). Results demonstrated that in vitro and invivo measurements of multi- and single-analyte sensors accurately and reliably corresponded with human capillary and serum samples. While the literature on this topic is sparse, our review demonstrated that measurement of glucose and other analytes can be feasibly undertaken using multi- and single-analyte sensors. More studies in humans are needed to establish clinical utility in diabetes self-management and assist with technological improvements.

Intertemporal Decision-Making, Diabetes Self-Management, and Health Outcomes in Patients With Type 2 Diabetes.

The purpose of this study was to identify the independent factors associated with intertemporal decision-making and to examine its relationship with diabetes self-management behaviors, glucose variability, and diabetes complications in patients with diabetes. A cross-sectional study using convenience sampling (n = 368) was conducted in patients with type 2 diabetes (T2DM) between November 2021 and April 2023. Data were collected using self-reported questionnaires and retrieval of clinical information from medical records. Intertemporal decision-making was operationalized using delay discounting. The outcome variables included diabetes self-management behaviors, A1C, diabetic retinopathy, and carotid artery disease. Hierarchical regression and binary logistic regression models were used to explore the relationships among intertemporal decision-making, self-management, A1C, and carotid artery disease. The analyses showed that intertemporal decision-making was negatively associated with physical activity and carotid artery disease, in which individuals with lower delay discounting tended to have healthier physical activity; when the delay discounting rate increased 1 unit, the risk of the carotid artery disease increased by 39.8%. The study reveals that a lower delay discounting can promote healthier physical activity and decrease the incidence of carotid artery disease. These results offer new knowledge for researchers and clinicians to consider intertemporal decision-making in developing interventional programs to improve physical activity and reduce carotid artery complication in patients with T2DM when providing care.

Use of Financial Incentives to Promote Adolescent Type 1 Diabetes Self-management: A Pilot Randomized Controlled Trial.

To evaluate whether financial incentives lead to improvement in self-management behaviors and glycemia in adolescents with type 1 diabetes (T1D). Adolescents (12- to 18-year-olds) with T1D selected incentivized self-management behavior and clinical outcome goals in a 3-treatment (gain frame, loss frame, no incentives) crossover randomized controlled trial. Participants could earn up to $180 in each 12-week incentive treatment arm. Compared with a mean 41% behavioral goal attainment within the nonfinancial incentives arm, mean behavioral goal attainment under gain and loss frames was 50% (P < 0.01) and 45% (P < 0.01), respectively. Mean time in range (TIR) in gain frame and loss frame arms was higher 43% (P < 0.01) and 42% (P < 0.01), respectively, compared with when not receiving financial incentives (38%). There was no difference in A1C among the three arms. Financial incentives can improve diabetes self-management behaviors and TIR in adolescents with T1D in the short-term.

Continuous glucose monitoring for self-management of diabetes in people living with type 2 diabetes mellitus on basal insulin therapy: A microsimulation model and cost-effectiveness analysis from a US perspective with relevance to Medicaid.

Reducing the risks of complications is a primary goal of diabetes management, with effective glycemic control a key factor. Glucose monitoring using continuous glucose monitoring (CGM) technology is an important part of diabetes self-management, helping patients reach and maintain targeted glucose and glycated hemoglobin (HbA1c) levels. Although clinical guidelines recommended CGM use, coverage by Medicaid is limited, likely because of cost concerns. To assess the cost-effectiveness of FreeStyle Libre CGM systems, compared with capillary-based self-monitoring of blood glucose (SMBG), in US individuals with type 2 diabetes mellitus using basal insulin. A patient-level microsimulation model was used to compare CGM with SMBG for a population of 10,000 patients. A 10-year horizon was used, with an annual discount rate of 3.0% for costs and utilities. Model population characteristics were based on US national epidemiology data. Patient outcomes were based on published clinical trials and real-world studies. Annual costs, reflective of 2023 values, included CGM and SMBG acquisition costs and the costs of treating diabetic ketoacidosis, severe hypoglycemia, and diabetes complications. The effect of CGM was modeled as a persistent 1.1% reduction in HbA1c relative to SMBG based on US real-world evidence. Disutilities were based on published clinical trials and other relevant literature. The primary outcome was cost per quality-adjusted life-year (QALY) gained. Sensitivity analyses were performed to test the validity of the model results when accounting for a plausible variation of inputs. In the base case analysis, CGM was dominant to SMBG, providing more QALYs (6.18 vs 5.97) at a lower cost ($70,137 vs $71,809) over the 10-year time horizon. A $10,456 increase in glucose monitoring costs was offset by a $12,127 reduction in treatment costs. Cost savings reflected avoidance of acute diabetic events (savings owing to reductions in severe hypoglycemia and diabetic ketoacidosis were $271 and $2,159, respectively) and a reduced cumulative incidence of diabetes complications, particularly renal failure (saving $5,292), myocardial infarction (saving $1,996), and congestive heart failure (saving $1,061). Scenario analyses were consistent with the base case results, and the incremental cost-effectiveness ratio for CGM vs SMBG ranged from dominant to cost-effective. In probabilistic analysis, CGM was 100% likely to be cost-effective at a willingness-to-pay threshold of $50,000/QALY. CGM is cost-effective compared with SMBG for US patients with type 2 diabetes mellitus receiving basal insulin therapy. This suggests that state Medicaid programs could benefit from broader coverage of CGM.

The Feasibility of the Diabetes Self-Management Coaching Program in Primary Care: A Mixed-Methods Randomized Controlled Feasibility Trial.

Diabetes mellitus, a chronic metabolic disorder associated with elevated blood sugar levels, is a significant cause of morbidity, mortality, and disability globally. The rampant rise in the prevalence of diabetes presents a public health burden and a challenge to the primary care setting. Diabetes self-management coaching is an emergent, client-centered, solution-focused approach to enhance self-efficacy and self-care behavior, control glycemia, and prevent acute and chronic complications. Currently, there is no diabetes self-management support strategy in the primary care setting in Ethiopia. Therefore, this study assessed the feasibility, acceptability, and fidelity of implementing the Diabetes Self-Management Coaching Program in primary care in Ethiopia. A single-center, single-blinded, parallel group mixed-methods feasibility randomized control design was applied to assess the feasibility, acceptability, and fidelity of the Diabetes Self-Management Coaching Program in primary care. Adult patients with type 2 diabetes with HbA1c ≥ 7%, taking diabetic medication, and living in Gondar town were included in the study. A block randomization technique with a block size of four was used to allocate participants into the treatment and control groups. The treatment group attended a 12-week Diabetes Self-Management Coaching Program in addition to undergoing usual care, while the control group received the usual care for the same period. Data were collected at baseline, at the end of the intervention, and after the follow-up period. Descriptive statistics such as the frequency, mean, median, and standard deviations were computed. Based on the normality assessment, the baseline group difference was examined using the independent sample Student's t-test, the Mann-Whitney U test, and the chi-square test. This study's eligibility, recruitment, retention, and adherence rates were 23%, 70%, 90%, and 85%, respectively. Both the qualitative and quantitative findings show that the program was feasible to implement in primary care and acceptable to the participants. The fidelity assessment of the Diabetes Self-Management Coaching Program indicates an appropriate intervention implementation. This study demonstrated remarkable recruitment, retention, and adherence rates. The Diabetes Self-Management Coaching Program was feasible, acceptable, and implementable in primary care in Ethiopia. As a result, we recommend that a large-scale multi-center cluster randomized controlled trial with an adequate sample can be designed to evaluate the effect of the DSM Coaching Program on clinical and behavioral outcomes.

Addressing cost barriers to healthy eating with Eat Well, a prescription produce subsidy, for patients with diabetes and at risk for food insecurity: Study protocol for a type 1 hybrid effectiveness-implementation pragmatic randomized controlled trial

BackgroundPatients with diabetes at risk of food insecurity face cost barriers to healthy eating and, as a result, poor health outcomes. Population health management strategies are needed to improve food security in real-world health system settings. We seek to test the effect of a prescription produce program, ‘Eat Well’ on cardiometabolic health and healthcare utilization. We will also assess the implementation of an automated, affirmative outreach strategy. MethodsWe will recruit approximately 2400 patients from an integrated academic health system in the southeastern United States as part of a two-arm parallel hybrid type 1 pragmatic randomized controlled trial. Patients with diabetes, at risk for food insecurity, and a recent hemoglobin A1c reading will be eligible to participate. The intervention arm receives, ‘Eat Well’, which provides a debit card with $80 (added monthly) for 12 months valid for fresh, frozen, or canned fruits and vegetables across grocery retailers. The control arm does not. Both arms receive educational resources with diabetes nutrition and self-management materials, and information on existing care management resources. Using an intent-to-treat analysis, primary outcomes include hemoglobin A1C levels and emergency department visits in the 12 months following enrollment. Reach and fidelity data will be collected to assess implementation. DiscussionAddressing food insecurity, particularly among those at heightened cardiometabolic risk, is critical to equitable and effective population health management. Pragmatic trials provide important insights into the effectiveness and implementation of ‘Eat Well’ and approaches like it in real-world settings. RegistrationClinicalTrials.gov Identifier: NCT05896644; Clinical Trial Registration Date: 2023-06-09.

Accessibility of diabetes education in the United States: barriers, policy implications, and the road ahead.

Diabetes Self-Management Education and Support (DSMES) programs are an effective, yet underutilized, resource to improve health outcomes and behaviors for people with diabetes. We examined the attendance and referral rates for people with diabetes to DSMES classes at an academic medical center, noting a 10% referral rate and 37% completion rate for those referred. We identified barriers to DSMES care at patient, provider, and health system levels. Current technology platforms and training fail to prioritize referrals to diabetes education; providers and people with diabetes are often unfamiliar with program content and benefits. Scheduling mechanisms often delay or lose interested patients in receiving vital education. Existing Medicare reimbursement strategies limit expansion of DSMES programs, generating significant wait times and limit capabilities for Diabetes Care and Education Specialists. We identify potential policy solutions and recommend alterations to existing referral and scheduling systems to expand existing technology platforms for DSMES programs and shift reimbursement policies to individualize and better support care for persons with diabetes.

Diabetes self-management: a qualitative study of education needs, practices and caregiver support in the Keta Municipality of Ghana

IntroductionA major part of diabetes management involves patients’ self-management. Poor self-management increases the risk of complications from the condition. Good self-management requires appropriate and adequate education and caregiver support, typically...

Digital Storytelling Intervention for Hemoglobin A1c Control Among Hispanic Adults With Type 2 Diabetes

Hispanic adults with type 2 diabetes (T2D) are more likely to develop complications and die from the disease than the US general population. Digital storytelling interventions are narrative-based videos elicited through a community-based participatory research approach to surface the authentic voices of participants overcoming obstacles to health-promoting behaviors that perpetuate health inequities; research on the effect of digital storytelling on T2D outcomes among Hispanic adults is lacking. To assess the impact of a digital storytelling intervention on glycemic control and its acceptability among Hispanic patients with poorly controlled T2D. This was a multicenter, randomized clinical trial conducted within 2 primary care networks in Minnesota and Arizona among Hispanic adults with poorly controlled T2D (hemoglobin A1c level ≥8%). Enrollment and follow-up were conducted between February 14, 2019, and November 1, 2023. The intervention group viewed a 12-minute digital storytelling video. The video included 4 Spanish-language stories that reinforced 4 diabetes self-management behavioral goals (healthful diet for diabetes, physical activity, medication adherence, and glucose self-monitoring). The control group received printed, culturally tailored T2D education materials. The primary outcome was the mean change from baseline to 3 months for hemoglobin A1c levels, adjusting for baseline hemoglobin A1c, age, gender, education, and income. Acceptability and narrative quality of the intervention were assessed through questionnaires. There were 451 study participants, with 227 (mean [SD] age, 54.3 [9.3] years; 158 [69.3%] women) randomized to the intervention group and 224 (mean [SD] age, 54.5 [9.1] years; 156 [69.3%] women) to the control group. Of these, 390 completed 3-month follow-up of the primary outcome (86% retention). There was a small improvement in the mean (SD) hemoglobin A1c level in the intervention group compared with the control group in the adjusted model (9.1% [1.7] to 8.4% [1.6] vs 9.4% [1.8] to 8.8% [2.0]; P = .04] but not in the unadjusted model. Acceptability and narrative quality of the intervention were high. In this randomized clinical trial, a digital storytelling intervention developed with and for Hispanic adults with T2D was highly acceptable and feasibly implemented within primary care settings and resulted in a modest improvement of glycemic control. This was a highly scalable intervention that may be integrated into clinical practice as part of a longitudinal diabetes self-management program for Hispanic adults. ClinicalTrials.gov Identifier: NCT03766438.

Qualitative Study Guiding the Design of a Person-Centered Shared Medical Appointment Model to Optimize Diabetes Care Delivery.

The purpose of the study was to explore the shared medical appointment model (SMA) with youth with type 2 diabetes (T2DM) and their caregivers to identify health education needs, access barriers, and recommendations for intervention design. Patient and caregiver focus group interviews were conducted in English and Spanish to address these objectives: (1) identify barriers to participation in group sessions, (2) identify barriers to diabetes self-management, and (3) prioritize preference for SMA themes. Qualitative analysis identified strategies for patient recruitment and engagement and recommendations for curriculum design of a future SMA model for youth with T2DM. Both adolescents and caregivers supported the development of an SMA model. Adolescents expressed concerns of initial discomfort and nervousness, whereas young adults described stigma as the main barrier to joining a group. Patients emphasized the importance of prioritizing youth comfort and families' convenience. Early adolescents and young adults preferred autonomy in the choice to join a group, whereas mid adolescents and caregivers preferred that the caregivers make that decision. Participants recommended nine topics regarding barriers to diabetes care. The topics that received the most enthusiasm were nutrition, exercise, navigating peer interactions, and stress management. Youth with T2DM and their caregivers perceived many benefits of an SMA model and provided feedback to guide the development of a health education curriculum that could be integrated into an SMA clinic.

Hierarchical Regression of Diabetes Self-Management and Health Related Quality of Life among Older Adults Patients with Type 2 Diabetes Mellitus.

The global elderly population is experiencing a rising prevalence of diabetes mellitus (DM). As a chronic and noncommunicable disease, diabetes requires strict daily self-management, significantly affecting the health-related quality of life (HRQOL). We investigated the relationship between diabetes self-management behaviors and HRQOL in a population of older adults diagnosed with type 2 diabetes mellitus (T2DM). This cross-sectional study was conducted between March 2022 and August 2022 at Phramongkutklao Hospital, Bangkok, Thailand. Participants completed questionnaires measuring sociodemographic factors, we utilized the Diabetes Self-Management Questionnaire (DSMQ) and the Diabetes-39 Questionnaire (D-39) to assess self-management behaviors. Hierarchical linear regression analysis was then employed to investigate the association between diabetes self-management and HRQOL. A total of 252 participants with a mean age of 68.96 years (SD = 6.64) were included. Most participants were aged 60-69 years (57.0%), female (59.9%), married (81.0%), had an undergraduate education (56.7%), and had an income lower than or equal to 40,000 baht (76.6%). Three factors were associated with HRQOL: compliance with cardiovascular disease (β = 0.233, P &lt; 0.001), acute pancreatitis (β = 0.132, P &lt; 0.05), and diabetes self-management (β = -0.376, P &lt; 0.001). Our findings from the final Model 3 analysis revealed a statistically significant positive association between cardiovascular disease (CVD) and HRQOL (standardized β = 0.233, P &lt; 0.001). This indicates that individuals with CVD reported lower HRQOL compared to those without the condition. Similarly, a significant positive association emerged between acute pancreatitis (AP) and HRQOL (standardized β = 0.132, P &lt; 0.05), suggesting a negative impact of this acute illness on HRQOL. Conversely, diabetes self-management demonstrated a significant negative association with HRQOL (standardized β = -0.376, P &lt; 0.001). This implies that better self-management practices among diabetic patients were linked to improved HRQOL. These findings highlight the crucial role of understanding patient perspectives on self-management. Healthcare providers and researchers should prioritize investigating these perspectives to develop and implement interventions that deliver effective diabetes self-management education. Such targeted interventions have the potential to significantly enhance the HRQOL of patients living with diabetes.

Identification of challenges and leveraging mHealth technology, with need-based solutions to empower self-management in type 2 diabetes: a qualitative study

IntroductionEffective diabetes management relies mainly on an individual’s ability to perform self-care tasks. However, this process is influenced by a complex interplay of factors. This study explores the multifaceted influences on Diabetes Self-Management (DSM), examining both factors influencing and affecting DSM. Understanding these influences is crucial for developing targeted Digital Health Interventions that empower individuals with diabetes to achieve successful self-management.ObjectivesTo identify problems faced by Type 2 Diabetes Mellitus (T2DM) individuals in self-managing diabetes and leveraging mHealth technology, with need-based solutions to Empower Self-Management in T2DM.MethodologyIn-depth semi-structured interviews were conducted among ten patients with T2DM visiting the outpatient department of a tertiary care hospital in coastal Karnataka. Additionally, six healthcare professionals (HCPs) working closely with T2DM patients were interviewed to understand their perspectives on using mHealth to manage T2DM effectively. The themes for the solutions described were analyzed using ATLAS-TI software.ResultsOur research examined certain factors that might have influenced effective diabetes self-management and investigated patient perspectives on using digital health solutions in diabetes self-management. This study found that technology skills, duration of diabetes, knowledge, and personal beliefs were all significant factors affecting self-management in participants with T2DM. Additionally, socioeconomic factors were also seen to influence effective diabetes self-management. The Google search engine was used by 50% of the participants interviewed to learn about T2DM. Diet management through Google searches was used by a minority (30%) of the patients. None of the participants had previously used any mobile health applications (mHealth apps) to manage T2DM. 20% of the participants expressed limited knowledge about using smartphones or wearables to track health parameters. The study also identified potential non-technological barriers to mHealth adoption. To address these concerns, researchers used an empathy map to develop solutions that promote mHealth use.ConclusionSeveral challenges and need-based mHealth solutions were identified to empower diabetes self-management education among T2DM patients. Implementing need-based mHealth solutions such as data tracking, personalized feedback, and access to educational resources can lead to better disease control and a higher quality of life for those with T2DM. Further research and development in mHealth interventions, and collaborative efforts among healthcare providers, patients, and technology developers, hold a promising future for the healthcare sector in providing efficient, effective, and accessible care.

The relationship between self-efficacy in blood sugar management and self-management in type 2 diabetes patients at Subang General Hospital

Background: Type 2 diabetes mellitus requires effective self-management to prevent complications and maintain a healthy quality of life. Self-efficacy, or a patient’s belief in their ability to manage their condition, is recognized as a key factor influencing diabetes self-management. However, the strength and nature of this relationship remain understudied in the local context of patients receiving care at Subang General Hospital. Purpose: This study aims to investigate the relationship between self-efficacy in blood sugar management and self-management in type 2 diabetes patients at Subang General Hospital. Methods: A quantitative correlational study with a cross-sectional design was conducted. Consecutive sampling was used to recruit 40 respondents. Data were collected using two standardized tools: the Diabetes Management Self-Efficacy Scale (DMSES) and the Diabetes Self-Management Questionnaire (DSMQ). The relationship between self-efficacy and self-management was analyzed using the Spearman-Rho statistical test. Results: Among the respondents, 80% (n=32) demonstrated high levels of self-efficacy, while 67.5% (n=27) exhibited good self-management practices. The statistical analysis revealed a significant positive correlation between self-efficacy and self-management (p=0.003). Conclusion: The findings indicate a significant relationship between self-efficacy and self-management in patients with type 2 diabetes mellitus. These results underscore the importance of enhancing self-efficacy as part of diabetes education and management strategies to improve patient outcomes. Future research should explore interventions that specifically target improving self-efficacy to optimize self-management behaviors.

Validation of the Arabic version of the diabetes self-management questionnaire in patients with type 2 diabetes mellitus: a cross-sectional study

BackgroundThe number of instruments available for measuring diabetes self-management activities in Arabic countries has been limited to date. To our knowledge, no multidimensional instrument suitable for measuring diabetes self-management is currently available in Arabic. This study assessed the validation of the Arabic version of the Diabetes Self-Management Questionnaire (A-DSMQ) in patients with type 2 diabetes mellitus (T2DM).MethodsThis cross-sectional study was conducted from May to August 2022 at primary healthcare centers within the Riyadh region of Saudi Arabia. Four steps were followed during the translation and adaptation of the DSMQ: forward translation, consulting an expert panel, backward translation, and pilot testing on the target population. The data were collected using a convenience sample of 154 patients with T2DM. Cronbach’s α coefficient, criterion validity, and known-group validity were determined.ResultsCronbach’s α coefficient for internal consistency was 0.76. The A-DMSQ “sum scale” scores were negatively correlated with glycosylated hemoglobin (HbA1c) levels (Pearson’s r = − 0.48, p < 0.01) and body mass indices (r = − 0.29, p < 0.01) and positively correlated with Self-Rated Health Scale scores (r = 0.41, p < 0.01). Mean A-DSMQ “sum scale” scores differed significantly among groups with adequate, partially adequate, and inadequate glycemic control (F = 23.193, p < 0.001).ConclusionsThese results indicate that the A-DSMQ is a reliable and valid tool for measuring diabetes self-management in patients with T2DM. The A-DSMQ can be used by researchers and healthcare providers interested in assessing diabetes self-management in this population. Healthcare providers should remain alert for suboptimal diabetes self-management, which may lead to significant economic costs in emergency and healthcare utilization.

Glycemic metrics in Japanese isCGM users - Analysis by diabetes type and therapy.

The FreeStyle Libre (FSL) intermittently scanned continuous glucose monitoring (isCGM) system continually measures interstitial glucose levels and provides the data to users in numerical and graphical formats that guide users in their daily diabetes self-management. Although numerous studies have demonstrated the glycemic benefits of FSL in pediatric and adult populations, few studies have characterized FSL use specifically by Japanese adults with type 1 or 2 diabetes. We utilized established CGM metrics to assess glycemic control in a large cohort of Japanese adults with type 1 and 2 diabetes. A total of 3,463 anonymized FSL users provided categorization into one of four therapy groups of interest: type 1 diabetes (n = 1,768), type 2 diabetes-multiple daily injections (MDI) (n = 612), type 2 diabetes-basal (BOI) (n = 343), and type 2 diabetes-non-insulin (NIT) (n = 740). Established CGM metrics were used to assess glycemic control. All study groups showed relatively good glycemic control. Type 1 diabetes users showed the highest glucose variability (SD, 61 mg/dL; and %CV, 40%), above the established target level (%CV ≤ 36%). type 2 diabetes-MDI and type 2 diabetes-BOI users had similar levels of glucose variability (both within target). Type 2 diabetes-NIT users had the highest mean % time in range (TIR) (84.3%) and largest percentage of users that met the target of %TIR > 70% (87.4%). In contrast, type 1 diabetes users had the lowest mean %TIR (62.6%) and the lowest percentage meeting the established %TIR target (30.5%). By utilizing CGM devices in daily diabetes care, both healthcare professionals and patients can monitor glycemic excursions and gain insights into their historical glucose control patterns.

Persian Mobile Apps for Diabetic Patients: App Review and Evaluation Study

Background: The development of mobile apps in healthcare facilities helps users perform self-care effectively. Objectives: This study aimed to evaluate the quality, functionality, and features of Persian language diabetes mobile apps. Methods: Persian language diabetes self-management mobile apps were searched in the Android and iOS App Stores using relevant keywords such as "diabetes" and "blood sugar." Twelve apps met the inclusion criteria. Nine evaluators assessed the apps' quality based on the Mobile App Rating Scale (MARS), their functionality according to the IMS institute for healthcare informatics app functionality scoring system, and their features and content using a checklist. Results: The mean MARS score of the apps was 3.02 out of 5. Among the four dimensions of engagement, aesthetics, functionality, and information quality, functionality had the highest mean ± SD score (3.64 ± 1.13). Most of the apps used 5 - 7 out of the 11 defined functionalities. All self-management apps included the functionality of monitoring blood glucose levels, and the majority had health status monitoring features. Conclusions: The mobile apps had several drawbacks, including a lack of engagement strategies, insufficient evidence-based information for patients, limited guideline-based self-management functionalities, failure to evaluate clinical effectiveness in trials, and an absence of mutual communication with healthcare providers.

Glucometric parameter changes in patients with type 2 diabetes during ramadan fasting: A prospective comparative real-world study

BackgroundThis study assessed glucometric changes in Type 2 diabetes mellitus (T2DM) patients before, during, and after Ramadan fasting using an intermittently scanned continuous glucose monitoring system (isCGMS). MethodsThis prospective comparative study included T2DM patients aged 30–70 years who were receiving nonintensive insulin in Riyadh, Saudi Arabia. In addition to the baseline characteristics, glycated hemoglobin (HbA1c) and ambulatory glucose profile (AGP)-derived metric data were collected at three specific points: pre-, during-, and post-Ramadan. Self-care activities during Ramadan were evaluated using the Diabetes Self-Management Questionnaire (DSMQ). ResultsOverall, a total of 93 T2DM patients were enrolled in the study. Their mean age ±SD age was 47.9 ± 7.5 years, and 51.6 % of them were males. Compared with pre- and post-Ramadan, there was a significant decrease in HbA1c (p < 0.001 for both periods), average glucose level (p = 0.001 and p = 0.026, respectively), glucose variability (p = 0.043 and p = 0.005, respectively), and % time above the range of 181–250 mg/dL (p < 0.001 for both periods), as well as a significant increase in % time in target (70–180 mg/dL) during Ramadan (p < 0.001 for both periods). However, the % time below 54 mg/dL was slightly greater during Ramadan than both pre- and post-Ramadan (p < 0.001 and p = 0.002, respectively). Furthermore, 32.3 % reported inadequate self-care behaviors during Ramadan. ConclusionsRamadan fasting could improve glucose levels in T2DM patients who were not on intensive insulin, with a relatively low incidence of hypoglycemia.

Diabetes Telemedicine Mediterranean Diet (DiaTeleMed) Study: study protocol for a fully remote randomized clinical trial evaluating personalized dietary management in individuals with type 2 diabetes

BackgroundThe Diabetes Telemedicine Mediterranean Diet (DiaTeleMed) Study is a fully remote randomized clinical trial evaluating personalized dietary management in individuals with type 2 diabetes (T2D). The study aims to test the efficacy of a personalized behavioral approach for dietary management of moderately controlled T2D, versus a standardized behavioral intervention that uses one-size-fits-all dietary recommendations, versus a usual care control (UCC). The primary outcome will compare the impact of each intervention on the mean amplitude of glycemic excursions (MAGE).MethodsEligible participants are between 21 and 80 years of age diagnosed with moderately controlled T2D (HbA1c: 6.0 to 8.0%) and managed on lifestyle alone or lifestyle plus metformin. Participants must be willing and able to attend virtual counseling sessions and log meals into a dietary tracking smartphone application (DayTwo), and wear a continuous glucose monitor (CGM) for up to 12 days. Participants are randomized with equal allocation (n = 255, n = 85 per arm) to one of three arms: (1) Personalized, (2) Standardized, or (3) UCC. Measurements occur at 0 (baseline), 3, and 6 months. All participants receive isocaloric energy and macronutrient targets to meet Mediterranean diet guidelines, in addition to 14 intervention contacts over 6 months (4 weekly then 10 biweekly) to cover diabetes self-management education. The first 4 UCC intervention contacts are delivered via synchronous videoconferences followed by educational video links. Participants in Standardized receive the same educational content as those in the UCC arm, following the same schedule. However, all intervention contacts are conducted via synchronous videoconferences, paired with Social Cognitive Theory (SCT)-based behavioral counseling, plus dietary self-monitoring of planned meals using a mobile app that provides real-time feedback on calories and macronutrients. Participants in the Personalized arm receive all elements of the Standardized intervention, in addition to real-time feedback on predicted post-prandial glycemic response (PPGR) to meals and snacks logged into the mobile app.DiscussionThe DiaTeleMed Study aims to address an important gap in the current landscape of precision nutrition by determining the contributions of behavioral counseling and personalized nutrition recommendations on glycemic control in individuals with T2D. The fully remote methodology of the study allows for scalability and innovative delivery of personalized dietary recommendations at a population level.Trial registrationClinicalTrials.gov NCT05046886. Registered on September 16, 2021.

Perceived Cognitive Function and Glycemic Variability: Baseline Results From a Cognitive Rehabilitation Intervention.

The purpose of this study was to examine the association between glucose variability, diabetes self-management, and cognitive function in participants enrolled in a cognitive rehabilitation intervention for people with type 2 diabetes. Baseline data from the Memory, Attention, and Problem-Solving Skills for Diabetes randomized controlled trial (n = 95; mean age 65.6 years, SD 5.99; 59.3% female; 59% non-Hispanic White) were analyzed and included scores from the PROMIS Cognitive Function version 2, a measure of perceived cognitive function; glucose variability measurements from continuous glucose monitors; and scores on the Summary of Diabetes Self-Care Activities Survey. Participants had higher levels of perceived cognitive dysfunction than the US average. Lower PROMIS scores were associated with higher levels of glucose variability. Better perceived cognitive health was related to better diabetes self-management. Glucose variability, measured by the coefficient of variation, was a significant predictor of perceived cognitive function. Perceived cognitive function was associated with diabetes self-management and glucose variability. Understanding this association can support the development of interventions to mitigate effects associated with glucose variability and changes in cognitive function. Including measurements of perceived cognitive function in assessments has the potential to alert health care providers about the need for additional support in diabetes management and the possibility of cognitive impairment that may need further objective assessment.