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Objective: The lack of descriptions for education programs in studies evaluating the efficacy of continuous glucose monitoring (CGM) compared to blood glucose monitoring (BGM) for individuals with T2DM makes it difficult to compare results across trials. This study aimed to develop and evaluate a new education program for adults with insulin-treated T2DM and HbA1c ≥58 mmol/mol (7.5 %) initiating CGM. Methods: A 3-h education program was created to provide information on diabetes self-management and CGM or BGM based on international guidelines and a pre-evaluation based on user needs assessment. Questionnaires were used to post-evaluate participant-rated benefits from the program. Results: Seven individuals attended a user needs assessment of the program and 96 participated in the final education program (61.5 % men, mean age 61 (59.5;63) years, mean diabetes duration 18.2 (16.9;19.5) years, and median HbA1c 69 (63-78)mmol/mol (8.5 (7.9-9.3)%). Benefit from this program was rated good/very good by 95.5 % with no statistically significant difference between glucose monitoring groups. Conclusions: This study presents a new well-received education program for T2DM for both the CGM and BGM group. Innovation: The description of the development process and the education provided for both glucose monitoring groups may be useful for CGM initiation in clinics and trials.

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Introduction: We assessed the baseline knowledge and the improvement and retention of knowledge after attending diabetes self-management education (DSME) programs with respect to different socioeconomic status (SES). We also looked into the change in body mass index (BMI), blood pressure, and glycemic parameters after attending the DSME sessions. Materials and Methods: This was a retrospective, cohort study carried out via chart review based on data collected from manual or electronic medical records (EMR) and questionnaire responses of 160 adult patients with type 2 diabetes (T2D) who attended two DSME sessions with a gap of at least six months. Results: Baseline knowledge on diabetes was uniform (P = 0.06), irrespective of differences in SES, and DSME sessions significantly improved the knowledge in all socioeconomic classes (P value < 0.05 in each SES group). However, SES did have a significant influence on the finally acquired knowledge of diabetes as was evident from the final score after attending two DSME sessions. A significant number of patients (48.1%) from our cohort either improved or retained their knowledge of diabetes over a mean follow-up of 15.5 months. The BMI of our cohort was significantly reduced from baseline to final follow-up (P = 0.016). Conclusion: DSME sessions were effective in improving knowledge and awareness among T2D patients, irrespective of socioeconomic classes in Eastern India. The acquired knowledge from DSME sessions was retained over a long time.

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AIMS: To assess diabetes-related emotional distress (DD) in emerging adults with type 1 diabetes (T1D) and assess a group-based intervention's impact. METHODS: To investigate DD we used data from the Problem Areas in Diabetes Questionnaire comprising 20 items (PAID-20). Furthermore, changes in the WHO Well-Being Index comprising five items (WHO-5) and glycated haemoglobin (HbA1c) were analysed. The intervention was evaluated using follow-up data from the emerging adults who participated. RESULTS: From 2021 to 2023, we screened 180 emerging adults using PAID-20. DD (PAID-20≥30) was prevalent in 25.0 % (95 % CI 18.9; 32.0 %), and associated with the female sex, higher HbA1c and WHO-5 < 50. Continuous subcutaneous insulin infusion at baseline was associated with PAID-20<30. 21 individuals attended a group-based intervention. At one-week follow up PAID-20 was reduced (29.1 ± 15.4 vs. 41.3 ± 12.1 at baseline, p = 0.003), and at nine-twelve months' follow-up HbA1c was reduced (59.3 ± 15.3 mmol/mol vs. 68.0 ± 17.4 mmol/mol at baseline, p = 0.012). CONCLUSIONS: This pilot study demonstrated that 25 % of the investigated emerging adults with T1D experienced DD (PAID-20≥30) associated with four clinical factors. We found a reduction in HbA1c and a short-term reduction in PAID-20 following the group-based intervention.

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Introduction: Insulin therapy is most effective if patients learn how to properly adjust insulin to achieve glycaemic targets. There is a need for methods and tools that can assist these processes in clinical practice. The purpose of this feasibility study was to evaluate an approach to support insulin dose adjustment in individual patients using a mobile titration application (app). Methods: A cohort of adults (N=36) with type 2 diabetes with suboptimal glycaemia who were starting basal insulin self-titration were trained by a diabetes care and education specialist to use a mobile titration app to guide adjusting insulin doses. Glycaemia, diabetes distress and patient and provider satisfaction were assessed during the first 3 months after initiating basal insulin titration using the mobile app. Results: Mean haemoglobin type A1c (HbA1c) was significantly reduced by an average of 2.1 ± 2.2% from baseline to 3 months (p<0.001). Diabetes distress significantly decreased from baseline to follow-up with scores going down (or improving) across all scales. Both patients and providers reported high levels of satisfaction and positive experiences. Conclusion: The model offers a promising solution to streamline insulin dosage adjustments to achieve specific clinical and self-management goals with high expectations for long-term benefits and warrants further investigation.

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BACKGROUND: American Indian and Alaska Native (AI/AN) people have high rates of diabetes and limited access to nutrition education. The "What Can I Eat? Healthy Choices for People With Type 2 Diabetes" (WCIE) diabetes nutrition education program was culturally adapted for AI/AN adults. OBJECTIVE: This analysis was designed to evaluate the reliability and validity of items developed to measure diabetes nutrition self-efficacy (ie, confidence one can engage in specific behaviors) and diabetes nutrition behavior among participants in the WCIE program for AI/AN adults. DESIGN: This study was a secondary analysis of data from a randomized controlled trial designed to evaluate the WCIE program for AI/AN adults. Baseline data were used to assess the reliability and validity of the self-efficacy and behavior items, which were collected via survey. Due to COVID-19 safety protocols, the intervention was conducted via Zoom (Zoom Video Communications), and both survey and clinical data were collected at home by participants. PARTICIPANTS/SETTING: The study was conducted from January to December 2021 with 5 AI/AN-serving health care programs in Oklahoma, Illinois, North Carolina, California, and New York. AI/AN adults with type 2 diabetes who spoke English and had internet access were eligible. Sixty people participated. MAIN OUTCOME MEASURES: Analyses examined validity and reliability of diabetes nutrition self-efficacy and behavior items. STATISTICAL ANALYSIS PERFORMED: To test reliability, internal consistency and factor structures of the scales were examined. To evaluate convergent validity, Pearson correlations were computed to examine the association of the self-efficacy and behavior measures with each other and with clinical indicators (ie, body mass index, blood pressure, and hemoglobin A1c). RESULTS: Two self-efficacy factors were identified. Each showed strong internal consistency (Cronbach α ≥ 0.85; McDonald ω ≥ 0.88) and was directly associated with diabetes nutrition behavior (P < .001). The factor assessing Confidence in Using the Diabetes Plate was inversely associated with hemoglobin A1c (Pearson correlation = -0.32, P = .0243). The behavior measure capturing Healthy Nutrition Behavior showed strong internal consistency (α = 0.89; ω = 0.92) and was inversely associated with hemoglobin A1c (Pearson correlation = -0.38, P = .0057). CONCLUSIONS: Diabetes nutrition self-efficacy and behavior items developed for the WCIE program for AI/AN adults are valid and reliable. These items can facilitate rigorous and consistent evaluation of the AI/AN WCIE program.

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BACKGROUND: Diabetes self-management (DSM) helps people with diabetes to become actors in their disease. Deprived populations are particularly affected by diabetes and are less likely to have access to these programmes. DSM implementation in primary care, particularly in a multi-professional primary care practice (MPCP), is a valuable strategy to promote care access for these populations. In Rennes (Western France), a DSM programme was designed by a MPCP in a socio-economically deprived area. The study objective was to compare diabetes control in people who followed or not this DSM programme. METHOD: The historical cohort of patients who participated in the DSM programme at the MPCP between 2017 and 2019 (n = 69) was compared with patients who did not participate in the programme, matched on sex, age, diabetes type and place of the general practitioner's practice (n = 138). The primary outcome was glycated haemoglobin (HbA1c) change between 12 months before and 12 months after the DSM programme. Secondary outcomes included modifications in diabetes treatment, body mass index, blood pressure, dyslipidaemia, presence of microalbuminuria, and diabetes retinopathy screening participation. RESULTS: HbA1c was significantly improved in the exposed group after the programme (p < 0.01). The analysis did not find any significant between-group difference in socio-demographic data, medical history, comorbidities, and treatment adaptation. CONCLUSIONS: These results, consistent with the international literature, promote the development of DSM programmes in primary care settings in deprived areas. The results of this real-life study need to be confirmed on the long-term and in different contexts (rural area, healthcare organisation).

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PURPOSE: Living with type 1 diabetes requires burdensome and complex daily diabetes self-management behaviors. This study aimed to determine the association between integrated behavior performance and HbA1c, while identifying the behavior with the most significant impact on HbA1c. METHODS: A simple and feasible questionnaire was used to collect diabetes self-management behavior in patients with type 1 diabetes (n = 904). We assessed six dimensions of behavior performance: continuous glucose monitor (CGM) usage, frequent glucose testing, insulin pump usage, carbohydrate counting application, adjustment of insulin doses, and usage of apps for diabetes management. We evaluated the association between these behaviors and HbA1c. RESULTS: In total, 21.3% of patients performed none of the allotted behavior, while 28.5% of patients had a total behavior score of 3 or more. 63.6% of patients with a behavior score ≥ 3 achieved HbA1c goal, contrasting with only 30.4% of patients with a behavior score of 0-1. There was a mean 0.54% ± 0.05% decrease in HbA1c for each 1-unit increase in total behavior score after adjustment for age, family education and diabetes duration. Each behavior was independently correlated with a lower HbA1c level, with CGM having the most significant effect on HbA1c levels. CONCLUSIONS: Six optimal self-management behaviors, especially CGM usage, were associated with improved glycemic control, emphasizing the feasibility of implementing a simplified version of DSMES in the routine clinical care. REGISTRATION NUMBER: ClinicalTrials.gov Identifier: NCT03610984.

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OBJECTIVES: The popularity of contracted family doctor services in China has been growing in recent years, but community-family-doctor-based type 2 diabetes mellitus (T2DM) intervention programs have yet to be adequately studied. This study was to evaluate the short- and long-term effects of community-family-doctor-based self-management interventions for T2DM and to explore strategies for long-term glycemic control. STUDY DESIGN: This was a randomized controlled trial. METHODS: A total of 144 eligible participants were randomly assigned to intervention and control groups. The control group received only routine community diabetes care, and the intervention group received community-family-doctor-based interventions involving the same standard of care. The interventions lasted for 3 months, and the follow-up was continued for 15 months. Intention-to-treat analysis and generalized estimation equations were then used to determine the short- and long-term effects of the interventions on glycated hemoglobin (HbA1c), diabetes self-management, and medication adherence. RESULTS: There were statistically significantly greater improvements in all aspects of the intervention group after 3 months of intervention. Compared with baseline, changes in the attitude (ß = 0.384, 95% confidence interval [CI; 0.194, 0.574], P < 0.001), practice (ß = 1.751, 95% CI [0.762, 2.739], P = 0.001), and knowledge, attitudes, practice total scores (ß = 2.338, 95% CI [0.682, 3.995], P = 0.006) of patients in the intervention group were statistically significant after 15 months, and the HbA1c (8.19 ± 1.73%), knowledge (16.42 ± 3.21), and medication adherence (5.53 ± 1.76) scores were slightly better than those at baseline, although not statistically significant (P > 0.05). CONCLUSIONS: T2DM self-management interventions based on community family doctors improved patients' HbA1c, diabetes self-management, and medication adherence, did not do so significantly in the long term.

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BACKGROUND: To date, most group-based diabetes self-management education (DSME) programs for type 2 diabetes (T2D) have been delivered in person. The rapid transition to remote care at the outset of the COVID-19 pandemic presented opportunities to test, evaluate, and iterate a new remote DSME program. OBJECTIVE: We aim to refine the delivery and evaluation of a multicomponent remote DSME program for adults living with T2D by examining several feasibility outcomes. METHODS: We recruited a convenience sample of patients from a London, Canada, outpatient diabetes clinic (serving high-risk, low-income adults) to participate in a 6-week, single cohort feasibility study from November 2020 to March 2021. This small ORBIT phase 1b feasibility study represents the first in a planned series guided by the ORBIT model for developing behavioral interventions for chronic diseases (phase 1: design; phase 2: preliminary testing; phase 3: efficacy; and phase 4: effectiveness). The feasibility of delivering and evaluating a remote DSME program, including (1) live video education classes, (2) individualized physical activity (PA) prescription and counseling, and (3) intermittently scanned continuous glucose and wearable PA monitoring, was assessed. Feasibility outcomes included recruitment and retention rates, program adherence, and acceptability (ie, technology issues and exit survey feedback). PA was assessed with Fitbit Inspire 2 (Fitbit Inc) and estimated glycated hemoglobin (HbA1c) using the FreeStyle Libre (Abbot). Given the small study sample, group- and individual-level data are reported descriptively. RESULTS: A total of 10 adults living with T2D were recruited (female 60%; age 49.9, SD 14.3 years; estimated HbA1c 6.2%, SD 0.5%). Recruitment and retention rates were 29% and 80%, respectively. Participants attended 83% (25/30) and 93% (37/40) of education classes and PA counseling phone calls, respectively. There were 3.2 (SD 2.6) technology issues reported per person, most of which were related to study data transfer. Exit survey responses suggest most participants (8/9, 89%) were "satisfied" with the program. Recognizing the small sample size and the fact that no inferential statistics were conducted, the mean (SD) for the weekly daily step count and estimated HbA1c are provided for illustrative purposes. Participants accumulated 7103 (SD 2900) and 7515 (SD 3169) steps per day at baseline and week 6, respectively. The estimated HbA1c was 6.2% (SD 0.5%) and 6.2% (SD 0.6%) at baseline and week 6, respectively. CONCLUSIONS: This ORBIT phase 1b study served to refine the delivery (eg, automatic study data upload process recommended to reduce participant burden) and evaluation (eg, purposeful sampling of participants with baseline HbA1c >8% recommended to address selection bias) of a remote DSME program. Preliminary proof-of-concept testing (ORBIT phase 2) incorporating some of these learnings is now warranted. TRIAL REGISTRATION: ClinicalTrials.gov NCT04498819; https://clinicaltrials.gov/study/NCT04498819.

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AIMS: Attendance at diabetes self-management education and support (DSMES) programmes for type 2 diabetes is associated with positive outcomes, but the impact on some outcomes is inconsistent and tends to decline over time. Understanding the active ingredients of effective programmes is essential to optimise their effectiveness. This study aimed to (1) retrospectively identify behaviour change techniques (BCTs), mechanisms of action (MoAs) and intervention functions in two DSMES programmes, the Community-Oriented Diabetes Education and the Diabetes Education and Self-Management for Ongoing and Newly Diagnosed and (2) examine variation in content between programmes. METHODS: A multiple case study approach, including a documentary analysis of the programme materials, was conducted. Materials were coded using the BCT Taxonomy v1, the Mode of Delivery Ontology v1 and the Intervention Source Ontology v1. The Behaviour Change Wheel guidance and the Theory and Techniques tool were used to identify intervention functions and MoAs. Programme stakeholders provided feedback on the findings. RESULTS: Thirty-four BCTs were identified across the programmes, with 22 common to both. The identified BCTs were frequently related to 'goals and planning', 'feedback and monitoring' and 'natural consequences'. BCTs were linked with 15 MoAs, predominantly related to reflective motivation ('beliefs about capabilities' and 'beliefs about consequences') and psychological capability ('knowledge'). BCTs served six intervention functions, most frequently 'education', 'enablement' and 'persuasion'. CONCLUSIONS: Although both programmes included several BCTs, some BCTs were rarely or never used. Additional BCTs could be considered to potentially enhance effectiveness by addressing a wider range of barriers.

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BACKGROUND: Diabetes self-management education (DSME) improves glycemic and metabolic control. However, the frequency, duration and sustainability of DSME for improving metabolic control have not been well studied. METHODS: The Diabetes Share Care Program (DSCP) stage 1 provided DSME every 3 months. If participants entering DSCP stage 1 ≥ 2 years and HbA1c < 7%, they can be transferred to stage 2 (DSME frequency: once a year). Three-to-one matching between DSCP stage 1 and stage 2 groups based on the propensity score method to match the two groups in terms of HbA1c and diabetes duration. We identified 311 people living with type 2 diabetes in DSCP stage 1 and 86 in stage 2 and evaluated their metabolic control and healthy behaviors annually for 5 years. RESULTS: In the first year, HbA1c in the DSCP stage 2 group was significantly lower than that in the stage 1 group. In the first and the fifth years, the percentage of patients achieving HbA1c < 7% was significantly higher in the DSCP stage 2 group than the stage 1 group. There was no significant difference in other metabolic parameters between the two groups during the 5-year follow-up. Self-monitoring of blood glucose (SMBG) frequency was associated with a reduced HbA1c after 5 years (95% CI: -0.0665 to -0.0004). CONCLUSION: We demonstrated sustainable effects of at least 2-year DSME on achieving better glycemic control for at least 1 year. SMBG contributed to improved glycemic control. The results may be applied to the reimbursement strategy in diabetes education.

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BACKGROUND: Exercise therapy is the key to preventing admission of patients with type 2 diabetes mellitus (T2DM). However, a few studies have examined the effects of exercise therapy on patients with T2DM undergoing inpatient diabetes self-management education and support (IDSMES). OBJECTIVE: This study investigated whether exercise therapy influenced the incidence of admission after discharge in patients with T2DM undergoing IDSMES. METHODS: This retrospective cohort study included patients with T2DM who underwent IDSMES between June 2011 and May 2015. Overall, 258 patients were included in this study. The exercise therapy program was implemented in June 2013. Accordingly, patients diagnosed between June 2011 and May 2013 were categorized as the non-exercise therapy program group, while those diagnosed between June 2013 and May 2015 were categorized as the exercise therapy program group. Outcomes were incident diabetes-related and all-cause admissions within 1 year of discharge. Multiple logistic regression models were used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) of the exercise therapy program's impact on the outcomes. RESULTS: Within 1 year of discharge, 27 (10.5%) patients underwent diabetes-related admissions and 62 (24.0%) underwent all-cause admissions. Multiple logistic regression analyses showed a significant association of the exercise therapy program with incident diabetes-related and allcause admissions [OR: 0.22 (95% CI: 0.08-0.59) and 0.44 (95% CI: 0.22-0.86), respectively]. CONCLUSION: Exercise therapy programs significantly lowered the incidences of diabetes-related and all-cause admissions. This indicates that implementing exercise therapy during hospitalization may be important for preventing admissions of patients with T2DM receiving IDSMES.

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BACKGROUND: The trend of Type 2 diabetes-related costs over 4 years could be classified into different groups. Patient demographics, clinical factors (e.g., A1C, short- and long-term complications), and rurality could be associated with different trends of cost. Study objectives are to: (1) understand the trajectories of cost in different groups; (2) investigate the relationship between cost and key factors in each cost trajectory group; and (3) assess significant factors associated with different cost trajectories. METHODS: Commercial claims data in Texas from 2016 to 2019 were provided by a large commercial insurer and were analyzed using group-based trajectory analysis, longitudinal analysis of cost, and logistic regression analyses of different trends of cost. RESULTS: Five groups of distinct trends of Type 2 diabetes-related cost were identified. Close to 20% of patients had an increasing cost trend over the 4 years. High A1C values, diabetes complications, and other comorbidities were significantly associated with higher Type 2 diabetes costs and higher chances of increasing trend over time. Rurality was significantly associated with higher chances of increasing trend over time. CONCLUSIONS: Group-based trajectory analysis revealed distinct patient groups with increased cost and stable cost at low, medium, and high levels in the 4-year period. The significant associations found between the trend of cost and A1C, complications, and rurality have important policy and program implications for potentially improving health outcomes and constraining healthcare costs.

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Objective: We explore the effect of a structured online DSMES program on glycaemic control and the self-management behaviour of adolescents and young adults with T1DM. Methods: We used a pre-post uncontrolled intervention design over a period of 6 months. A total of 37 youths with T1DM aged 10-45 years were enrolled. The intervention comprised 11 structured online DSMES course sessions; these were video-based and delivered by a diabetes specialist, nurses and a dietitian. The primary outcome was a change in (glycated hemoglobin) HbA1c. The secondary outcomes were changes in hypoglycaemia frequency, time in target range (TIR) among patients using a continuous glucose monitoring (CGM) system and self-management behaviour; the latter was measured using a T1DM self-management scale for Chinese adults (SMOD-CA) and the Chinese version of the diabetic behaviour rating scale in adolescents with T1DM (DBRS). Results: Twenty-three (85.2%) participants attended ≥8 of the online sessions. There was a significant reduction in HbA1c (from 6.92% to 6.47%, P = 0.002), hypoglycaemic episodes (from 6.0 to 4.0 during the preceding month, P = 0.026) and a significant increase in TIR (from 74.0% to 80.5%, P = 0.027) and an increase in the SMOD-CA score (from 79.6 to 84.6, P = 0.026) in young adults. No significant change in glucose control, hypoglycaemic events or DBRS score were found among children and adolescents. The score of the 12-item version of the Barrett-Lennard Relationship Inventory (B-L RI:mini) indicated that more than half of the participants experienced congruence, positive regard, and an empathic understanding in this programme. Conclusion: The online structured DSMES programme was effective in improving the glycaemic control and self-management behaviour of young adults with T1DM; however, integrating offline visits or appointments with online consultations may be necessary for youth patients.

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Aims: The longitudinal effect of personality traits on glycemic control is unclear. This prospective observational study explored the relationship between personality traits and glycemic control in patients with uncontrolled diabetes after inpatient diabetes education. Methods: Patients with diabetes mellitus (HbA1c ≥ 7.5%, measured by high-performance liquid chromatography) who received inpatient diabetes education were scored on the Big Five personality traits: neuroticism, extraversion, openness, agreeableness, and conscientiousness. Multiple linear analysis was used to determine whether any personality traits were independently associated with HbA1c on admission and HbA1c change from admission to 1, 3, and 6 months after discharge. Results: One hundred seventeen participants (mean age 60.4 ± 14.5 years; 59.0% male) were enrolled. HbA1c values on admission and 1, 3, and 6 months after discharge were 10.2 ± 2.1%, 8.3 ± 1.4%, 7.6 ± 1.4%, and 7.7 ± 1.5%, respectively. Multiple linear analysis showed that no personality traits were associated with HbA1c on admission. Neuroticism was negatively associated with the HbA1c change from admission to 3 months (ß = -0.192, P = 0.025) and 6 months after discharge (ß = -0.164, P = 0.043). Conclusions: Neuroticism was associated with good long-term glycemic control after inpatient diabetes education.

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Background: Diabetes mellitus (DM) is a chronic disease associated with a major economic burden on persons, health care systems, and countries. Diabetes self-management education and support (DSME(S)) programs are highly effective method in the management of T2DM patients. Therefore, this study aimed to determine the cost-effectiveness of the developed culturally-specific DSME(S) program regarding glycemic control, lipid profile, and body weight for Iraqi type 2 DM patients. Methods: A randomized controlled clinical trial design was used to assess the cost-effectiveness of the culturally-specific DSME(S) program from the perspective of health care providers. In the cost-effectiveness analysis (CEA), cost per patient and clinical outcomes over 6 months were compared between the intervention and control group. Incremental cost-effectiveness ratios (ICERs) were expressed as cost per unit improvement in glycosylated hemoglobin (HbA1c), fasting blood glucose (FBG), total cholesterol (TC), low-density lipoprotein-cholesterol (LDL-C), high density lipoprotein- cholesterol (HDL-C), systolic blood pressure (SBP), diastolic blood pressure (DBP), and body weight. Results: The effectiveness of most outcomes was better in the intervention group compared with the control group. The ICER per unit improvement in HbA1c, SBP, DBP, serum TC, and TG levels was <1 of the minimum CET compared with the control group, thus meeting the definition of being highly cost-effective. Conclusion: The currently developed DSME(S) was cost effective method to improve glycemic control, blood pressure, TC, and TG for T2DM patients in Iraq.

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Introduction/Purpose: Diabetes self-management education and support (DSMES) can be a very valuable service for many patients with diabetes. Unfortunately, despite its expected benefits, many patients do not receive DSMES through a quality, structured program. The purpose of this quality improvement project was to determine if integrating a diabetes education program utilizing the Association of Diabetes Care and Education Specialists (ADCES)7 Self-Care Behaviors into diabetes care in a primary care clinic could improve glycemic control and body mass index (BMI). Methods: The DSMES services provided were in accordance with the ADCES and the American Diabetes Association National Standards. The program included a 1-hour face-to-face service incorporating the ADCES7 Self-Care behaviors. A retrospective chart review was conducted to extract outcome data from N = 54 random medical records. This data was then analyzed to evaluate the program's effectiveness. Pre- and postintervention data from medical records were analyzed for eligible patients who participated in the DSMES service (ages 18-75 with type 2 diabetes, hemoglobin A1c [A1c] >8%). Results: Paired t tests were used to determine significant changes in BMI and A1c parameters pre- and postintervention. Preintervention A1c (M = 9.5, SD = 1.7) and BMI (M = 33.2, SD = 7.8) and postintervention A1c (M = 7.8, SD = 1.5) and BMI (M = 32.2, SD = 7.9) indicate that DSMES significantly reduced A1c, t(53) = 8.1, p = <.001, and BMI, t(53) = 4.4, p = <.001. Models were then adjusted for pretest measures, age, gender, and time since diagnosis in a regression analysis. In models adjusted for pretest measures, age, gender, and time since diagnosis was significantly predictive of the postmeasure of BMI (B = .41, p = .01, R2 = .96) and postmeasure of A1c (B = .28, p = .04, R2 =.41). Discussion: This project demonstrated that integrating a simple, cost-effective diabetes education service consisting of ADCES7 Self-Care Behaviors in a primary care practice could bridge gaps in diabetes management and significantly improve patients' BMI and A1c. Long-term utilization of this service may also enhance patient satisfaction, improve the patient's health, and reduce healthcare costs related to diabetes.

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BACKGROUND: Medically underserved people with type 2 diabetes mellitus face limited access to group-based diabetes care, placing them at risk for poor disease control and complications. Immersive technology and telemedicine solutions could bridge this gap. OBJECTIVE: The purpose of this study was to compare the effectiveness of diabetes medical group visits (DMGVs) delivered in an immersive telemedicine platform versus an in-person (IP) setting and establish the noninferiority of the technology-enabled approach for changes in hemoglobin A1c (HbA1c) and physical activity (measured in metabolic equivalent of task [MET]) at 6 months. METHODS: This study is a noninferiority randomized controlled trial conducted from February 2017 to December 2019 at an urban safety net health system and community health center. We enrolled adult women (aged ≥18 years) who self-reported African American or Black race or Hispanic or Latina ethnicity and had type 2 diabetes mellitus and HbA1c ≥8%. Participants attended 8 weekly DMGVs, which included diabetes self-management education, peer support, and clinician counseling using a culturally adapted curriculum in English or Spanish. In-person participants convened in clinical settings, while virtual world (VW) participants met remotely via an avatar-driven, 3D VW linked to video teleconferencing. Follow-up occurred 6 months post enrollment. Primary outcomes were mean changes in HbA1c and physical activity at 6 months, with noninferiority margins of 0.7% and 12 MET-hours, respectively. Secondary outcomes included changes in diabetes distress and depressive symptoms. RESULTS: Of 309 female participants (mean age 55, SD 10.6 years; n=195, 63% African American or Black; n=105, 34% Hispanic or Latina; n=151 IP; and n=158 in VW), 207 (67%) met per-protocol criteria. In the intention-to-treat analysis, we confirmed noninferiority for primary outcomes. We found similar improvements in mean HbA1c by group at 6 months (IP: -0.8%, SD 1.9%; VW: -0.5%, SD 1.8%; mean difference 0.3, 97.5% CI -∞ to 0.3; P<.001). However, there were no detectable improvements in physical activity (IP: -6.5, SD 43.6; VW: -9.6, SD 44.8 MET-hours; mean difference -3.1, 97.5% CI -6.9 to ∞; P=.02). The proportion of participants with significant diabetes distress and depressive symptoms at 6 months decreased in both groups. CONCLUSIONS: In this noninferiority randomized controlled trial, immersive telemedicine was a noninferior platform for delivering diabetes care, eliciting comparable glycemic control improvement, and enhancing patient engagement, compared to IP DMGVs. TRIAL REGISTRATION: ClinicalTrials.gov NCT02726425; https://clinicaltrials.gov/ct2/show/NCT02726425.

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BACKGROUND: Diabetes self-management education and support (DSMES) is a cornerstone in the treatment of type 2 diabetes mellitus (T2DM). It is unclear whether delivering DSMES as a digital health intervention (DHI) might meet the needs experienced by patients with T2DM and diabetes specialist nurses (DSN) of the primary health care system in Sweden. METHODS: Fourteen patients with T2DM and four DSN participated in three separate focus groups: two groups comprised patients and one group comprised DSN. The patients discussed the questions: "What needs did you experience after your T2DM diagnosis?" and "How might these needs be met with a DHI?" The DSN discussed the questions: "What needs do you experience when treating a patient with newly diagnosed T2DM?" and "How might these needs be met with a DHI?". Furthermore, data were collected in the form of field notes from group discussions at a meeting including 18 DSNs working with T2DM in PHCCs. The discussions from focus groups were transcribed verbatim and analyzed together with the field notes from the meeting using inductive content analysis. RESULTS: The analysis yielded the overall theme: "Overcoming the struggle of living with T2DM", which was summarized in two categories: "learning and being prepared" and "giving and receiving support". Important findings were that, for success, a DHI for DSMES must be integrated into routine care, provide structured, high-quality information, suggest tasks to stimulate behavioral changes, and provide feedback from the DSN to the patient. CONCLUSION: This study highlighted several important aspects, from the perspectives of both the patient with T2DM and the DSN, which should be taken into consideration for the successful development and use of a DHI for DSMES.

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AIM: To assess the association of mental health burden with diabetes-related self-care behaviors and healthcare utilization among older adults. METHOD: This cross-sectional 2019 Behavioral Risk Factor Surveillance System (BRFSS) study included ≥ 65 years old adults with self-reported diabetes. Three groups were used based on the number of days in the past month affected by mental health: 0 days (no burden), 1-13 days (occasional burden), and 14-30 days (frequent burden). Primary outcome was performing ≥ 3 of 5 diabetes-related self-care behaviors. Secondary outcome was performing ≥ 3 of 5 healthcare utilization behaviors. Multivariable logistic regression was used in Stata/SE 15.1. RESULTS: Of 14,217 included individuals, 10.2 % reported frequent mental health burden. Compared to 'no burden', 'occasional' and 'frequent burden' groups included more female, obese, not married persons with younger age of diabetes diagnosis, and reported more comorbidities, insulin use, cost-related barriers to see doctors, and diabetes-related eye issues (p < 0.05). 'Occasional/frequent burden' groups reported less self-care and healthcare utilization behaviors, except 30 % higher healthcare utilization was observed in the 'occasional burden' group compared to no burden (aOR 1.30, 95 %CI 1.08-1.58, p = 0.006). CONCLUSIONS: Overall, mental health burden was associated with reduced participation in diabetes-related self-care and healthcare utilization behaviors in a stepwise manner, except occasional burden was associated with higher healthcare utilization.

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