Reedaguirre5544

This revised position statement blends the updates in research and ADCES's vision and expansion beyond diabetes to refresh the ADCES7 framework. This revision reflects the perspectives of all members of the health care team as they problem solve with individuals who are at risk for or who have diabetes and related conditions to achieve healthier outcomes.

This revised position statement blends the updates in research and ADCES's vision and expansion beyond diabetes to refresh the ADCES7 framework. This revision reflects the perspectives of all members of the health care team as they problem solve with individuals who are at risk for or who have diabetes and related conditions to achieve healthier outcomes.

The purpose of this study was to explore the use of herbal/plant remedies and supplements for type 2 diabetes (T2DM) among Hispanics/Latinxs in North Carolina and identify demographic and diabetes-related factors associated with use of these therapies.

Baseline data from a family-based diabetes intervention tailored for Hispanics/Latinxs were analyzed using descriptive statistics, bivariate analyses, and logistic regression. A convenience sample of 186 adults with T2DM and adult family members with and without T2DM was recruited from community-based settings and data obtained from face-to-face interviews conducted in Spanish.

Most participants were female (73%) with an average age of 45 years old. Bcl 2 inhibitor Among this predominantly immigrant sample (96%), 78% of participants reported being from Mexico. Sixty percent had T2DM, and average A1C was 8.7% for persons with T2DM. Nearly a third reported using 51 different remedies for diabetes management. Most ingested them concurrently with prescribed medications; howese with prescribed medications.

The purpose of this study is to review the literature for Diabetes Self-Management Education and Support (DSMES) to ensure the National Standards for DSMES (Standards) align with current evidence-based practices and utilization trends.

The 10 Standards were divided among 20 interdisciplinary workgroup members. Members searched the current research for diabetes education and support, behavioral health, clinical, health care environment, technical, reimbursement, and business practice for the strongest evidence that guided the Standards revision.

Diabetes Self-Management Education and Support facilitates the knowledge, skills, and ability necessary for diabetes self-care as well as activities that assist a person in implementing and sustaining the behaviors needed to manage their condition on an ongoing basis. The evidence indicates that health care providers and people affected by diabetes are embracing technology, and this is having a positive impact of DSMES access, utilization, and outcomes.

Quality DSMES continues to be a critical element of care for all people with diabetes. The DSMES services must be individualized and guided by the concerns, preferences, and needs of the person affected by diabetes. Even with the abundance of evidence supporting the benefits of DSMES, it continues to be underutilized, but as with other health care services, technology is changing the way DSMES is delivered and utilized with positive outcomes.

Quality DSMES continues to be a critical element of care for all people with diabetes. The DSMES services must be individualized and guided by the concerns, preferences, and needs of the person affected by diabetes. Even with the abundance of evidence supporting the benefits of DSMES, it continues to be underutilized, but as with other health care services, technology is changing the way DSMES is delivered and utilized with positive outcomes.

The purpose of the study was to examine the associations of self-efficacy, social support, and symptom distress with perceived problem-solving and glycemic control among patients with type 2 diabetes.

Using baseline data from a parent study, which examined the effect of a problem-solving-focused intervention on medication adherence among patients with type 2 diabetes, this secondary analysis examined the relationships among self-efficacy, social support, symptom distress, problem-solving, and A1C. Of 358 patients enrolled at baseline, 304 (mean age = 64.1 years, 57.2% female) were included in the current analysis. Multiple linear regression was used to identify potential correlates of problem-solving and A1C.

The results showed that self-efficacy, social support, and symptom distress were independent predictors of problem-solving; they significantly improved the prediction of perceived problem-solving in diabetes management after controlling covariates. Adding problem-solving to the model did not improventions to improve diabetes management. In addition, health care providers should consider these important aspects when providing tailored care to this patient population.

The purpose of this study was to evaluate the impact of a primary care (PC)-based delivery model on diabetes self-management education and support (DSMES) referrals and participation. Despite evidence that DSMES is a critical component of diabetes care, referrals and participation remain low.

PC practices were assigned to the intervention (n = 6) or usual care (n = 6). Intervention practices had direct access to a diabetes educator (DE) and applied patient-centered medical home elements to DSMES delivery. Usual care practices referred patients to traditional hospital-based outpatient DSMES programs. DSMES referrals and participation were examined for patients with diabetes, 18 to 75 years old, presenting to PC over 18 months (n = 4,894) and compared between groups.

Compared to the usual care group, a higher percentage of patients in the intervention practices were referred to DSMES (18.4% vs 13.4%;

< .0001), and of those referred, a higher percentage of patients in the intervention practices participated in DSMES (34.9% vs 26.1%;

= .02). Patient-level factors predicting referrals were obesity (odds ratio [OR] = 1.6), higher A1C (OR = 1.4), female (OR = 1.3), and younger age (OR = 0.98). The only patient-level factor that predicted DSMES participation was lower A1C (OR = 0.9).

This study demonstrates the positive influence of a PC-based intervention on DSMES referral and participation. However, modest improvements in DSMES rates, even with targeted efforts to address reported barriers, raise questions as to what is truly needed to drive meaningful change.

This study demonstrates the positive influence of a PC-based intervention on DSMES referral and participation. However, modest improvements in DSMES rates, even with targeted efforts to address reported barriers, raise questions as to what is truly needed to drive meaningful change.