Diabetes Self-management Education and Support in Adults With Type 2 Diabetes: A Consensus Report of the American Diabetes Association, the Association of Diabetes Care & Education Specialists, the Academy of Nutrition and Dietetics, the American Academy of Family Physicians, the American Academy of PAs, the American Association of Nurse Practitioners, and the American Pharmacists Association

Exploring Type 2 Diabetes Self-Management Practices Among African Americans in Rural Counties: A Qualitative Study

PURPOSE

The purpose of the study was to understand diabetes self-management practices among African American individuals living with type 2 diabetes (T2D) in rural communities.

METHODS

This qualitative descriptive study, undergirded by the theory of integration, purposively sampled African Americans (N = 34) diagnosed with T2D living in rural communities. Thematic analysis employed both a priori and inductive coding to identify salient themes.

RESULTS

Participants' mean age was 65.9 (SD 12.3) years, with an average T2D diagnosis duration of 14 (SE 11.2) years. Two major themes emerged: deciphering the cues and body sensing, which the participants used to monitor their glucose level using a personalized feedback loop. Those with longer diabetes duration demonstrated an ability to recognize hypoglycemic or hyperglycemic symptoms (deciphering the cues), informing their decision-making and self-management strategies (body sensing).

CONCLUSIONS

The decision-making involved in glycemic level management emerges as a complex developmental process influenced by disease trajectory and cultural and environmental factors. These findings may inform a conceptual framework to guide future inquiries and provide insights for primary care clinicians and diabetes educators to better understand the complexities of T2D management among African American individuals in rural settings.

Participants' Perspectives on Diabetes Self-Management Programming at Church: Faith-Placed Versus Faith-Based Approach

PURPOSE

The purpose of the study was to explore Hispanic adults' experiences participating in the Building a Healthy Temple diabetes self-management education and support (DSMES) cluster randomized trial and collect their insights on intervention approach, delivery, content, impact, and suggested improvements for future DSMES programs delivered at church.

METHODS

Focus groups were conducted with participants from both intervention arms, that is, faith-based (FB) group and faith-placed group. Participating churches were predominantly Hispanic and located in San Antonio, Texas. Focus groups were audiotaped and transcribed verbatim. Inductive content analysis was performed with the assistance of NVivo software to code and categorize emerging themes.

RESULTS

A total of 138 adult participants took part in the current study. Participants in both groups highly valued the church setting for its convenient location and support system and reported positive changes in diabetes-related beliefs, knowledge, skills, behaviors, and health outcomes. FB participants appreciated the incorporation of spiritual teachings and facilitation by lay leaders, which created a sense of empowerment and improved outlook on living with diabetes.

CONCLUSIONS

Church holds promise as a setting for DSMES program delivery in Hispanic communities. Church-based DSMES programs using a FB approach may further facilitate program adoption and sustainability.

Utilization of Diabetes Self-Management Education and Support Among Medicare Beneficiaries Newly Diagnosed With Diabetes in Arkansas, 12 Months Postdiagnosis (2015-2018)

PURPOSE

The purpose of the study was to determine the rate of diabetes self-management education and support (DSMES) utilization among Medicare fee-for-service (FFS) and Medicare Advantage (MA) populations with type 2 diabetes in Arkansas.

METHODS

The Arkansas All-Payer Claims Database was used to identify Medicare FFS and MA beneficiaries diagnosed with type 2 diabetes from 2015 to 2018. Claims from 2013 to 2020 were analyzed to determine newly diagnosed individuals from 2015 to 2018. The criteria included 1 outpatient diabetes claim in the index year and at least 1 inpatient or outpatient claim in the 2 years following the initial claim. A total of 15 648 Medicare FFS individuals and 7520 MA individuals with newly diagnosed type 2 diabetes were identified. The use of DSMES 1 year following the diagnosis dates for both Medicare FFS and MA populations was assessed. Descriptive statistics and multiple logistic regression analyses were conducted to understand the factors associated with DSMES utilization.

RESULTS

DSMES utilization consistently remained lower in the MA population compared to Medicare FFS (2.3% vs 4.9%). The adjusted analysis indicated that factors such as older age, living in a rural area, belonging to a racial group other than White, and MA enrollment were associated with a lower likelihood of receiving DSMES.

CONCLUSIONS

DSMES utilization in Arkansas, where the prevalence of diabetes is higher than the national average, is notably low. There is a need for coordinated efforts at various levels to enhance access to DSMES.

Rural-Urban Differences in Self-Reported Participation in Diabetes Self-Management Education

CONTEXT

Rural America faces a dual challenge with a higher prevalence of diabetes mellitus (hereafter, diabetes) and diabetes-related mortality. Diabetes self-management education (DSME) can improve glucose control and reduce adverse effects of diabetes, but certified DSME programs remain disproportionately limited in rural counties than in urban counties.

OBJECTIVE

The goal of this study is to examine the proportion of urban and rural adults who report having received DSME using a nationwide, 29-state survey while considering the potential consequences of lower service availability.

DESIGN

This cross-sectional study used data from the 2019 Behavioral Risk Factor Surveillance System (BRFSS). Residence was defined as urban (metropolitan county) vs rural (non-metropolitan county). Logistic regression, incorporated survey weights, was used to determine the odds of having received DSME by residence.

SETTING

BRFSS is a nationally representative survey, and this study included participants from 29 states that were distributed throughout all regions of the United States.

PARTICIPANTS

The study sample consisted of 28,179 adults who reported having diabetes, lived in one of the states that administered the diabetes module in 2019, and answered all relevant questions.

MAIN OUTCOME MEASURES

The main outcome measure was whether a participant had ever received DSME. Participants were considered to have received DSME if they self-reported having ever taken a class on how to manage diabetes themselves.

RESULTS

Overall, 54.5% of participants reported having received DSME; proportionately fewer rural residents (50.4%, ±1.1%) than urban residents (55.5%, ±1.0%) reported DSME. Rural disparities persisted after adjusting for demographic, enabling, and need factors (Adjusted Odds Ratio = 0.79; CI, 0.71-0.89). By sociodemographic factors, Hispanic persons vs non-Hispanic White persons and single vs married/coupled individuals were less likely to report DSME receipt (both 0.76 [0.62-0.94]).

CONCLUSIONS

Ongoing national efforts addressing rural disparities in diabetes-related complications should target individuals most at risk for missing current diabetes educational programming and design appropriate interventions.

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

Introduction

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.

Methods

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.

Results

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.

Implications

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.

Treatment approaches and costs associated with diabetes clinical metrics as measured by Healthcare Effectiveness Data and Information Set (HEDIS)

BACKGROUND

The clinical outcomes of diabetes can be influenced by primary care providers' (PCP) treatment approaches. This study explores the association between PCP approaches to management and performance measured by established diabetes metrics and related costs.

METHODS

In phase one, Electronic Medical Records were used to extract diabetes related metrics using Healthcare Effectiveness Data and Information Set (HEDIS), for patients with diabetes who had office visits to 44 PCP practices from April 2019 to March 2020. Using those metrics and scoring system, PCP practices were ranked and then categorized into high- and low-performing groups (top and bottom 25%, n = 11 each), with a total of 19,059 clinic visits by patients with a diagnosis of diabetes. Then extensive analysis was performed to evaluate a correlation between treatment approaches and diabetes outcomes across the top and bottom performing practices. In phase 2, patients with diabetes who were attributed to the aforementioned PCP practices were identified in a local health plan claims data base (a total of 3,221 patients), and the allowed amounts from their claims were used to evaluate differences in total and diabetes-related healthcare costs by providers' performance.

RESULTS

Comparing 10,834 visits in high-performing practices to 8,235 visits in low-performing practices, referrals to certified diabetes care and education specialists and provider-to-provider electronic consults (e-consults) were higher in high-performing practices (Z = 6.06, p < .0001), while traditional referrals were higher in low-performing practices (Z = -6.94, p < .0001). The patient-to-provider ratio was higher in the low-performing group (M = 235.23) than in the high-performing group (M = 153.26) (Z = -2.82, p = .0048). Claims data analysis included 1,825 and 1,396 patients from high- and low-performing providers, respectively. The patient-to-provider ratio was again higher in the low-performing group (p = .009, V = 0.62). Patients receiving care from lower-performing practices were more likely to have had a diabetes-related hospital observation (5.7% vs. 3.9%, p = .02; V = 0.04) and higher diabetes-related care costs (p = .002; d = - 0.07); these differences by performance status persisted when controlling for differences in patient and physician characteristics. Patients seeing low-performing providers had higher Charlson Comorbidity Index scores (Mdn = 3) than those seeing high-performing providers (Mdn = 2).

CONCLUSIONS

Referrals to the CDCES and e-Consult were associated with better measured diabetes outcomes, as were certain aspects of cost and types of hospital utilization. Higher patients to providers ratio and patients with more comorbidities were observed in low performing group.

COVID-19 Impact Predicts Diabetes Distress Among Individuals With Type 2 Diabetes

PURPOSE

The purpose of this study was to determine whether COVID-19 impact and Diabetes Self-Management Education and Support (DSMES) service attendance predicted diabetes distress among individuals with type 2 diabetes during the pandemic.

METHODS

Eighty-six adults with type 2 diabetes who either attended (n = 29) or did not previously attend (n = 57) DSMES services completed a cross-sectional survey. Participants' mean age was 57 ± 12.3 years, 50% were female, and 71.3% were diagnosed with diabetes >5 years. The Coronavirus Impact Scale was used to measure impact of the pandemic on daily life. The Diabetes Distress Scale was used to measure distress overall and within 4 subscales (emotional burden, interpersonal distress, physician-related distress, regimen distress). Separate multiple linear regressions were conducted for each outcome, controlling for age, sex, marital status, financial status, and time since diabetes diagnosis.

RESULTS

Higher COVID-19 impact predicted higher diabetes-related distress for all subscales and overall. Only the subscale for interpersonal distress was predicted by DSMES attendance, which decreased with DSMES attendance.

CONCLUSION

This study identifies a link between the effects of the COVID-19 pandemic and diabetes distress. The findings highlight the negative impact of the pandemic on diabetes distress and the importance of DSMES services for diabetes-related distress. Interventions are needed to reduce psychological distress among this population during public health crises.

Cross-Cultural Adaptation and Validation of the Revised Brief Diabetes Knowledge Test (DKT2) in Individuals With Type 2 Diabetes Mellitus and Their Caregivers

PURPOSE

The purpose of the study was to develop an Italian version of the Revised Brief Diabetes Knowledge Test (DKT2), providing a cultural and linguistic validation supported by psychometrics and hypotheses testing.

METHODS

This multimethods study was divided into 4 phases: (a) cultural-linguistic validation, with a translation and back-translation process; (b) confirmatory factor analysis (CFA) considering the original scale's structure (knowledge and insulin-specific knowledge); (c) criterion validity via hypotheses testing; and (d) cross-group measurement invariance. The internal consistency reliability was assessed by the Kuder-Richardson Formula 20 (KR-20) of the overall scale.

RESULTS

A total of 251 patients and 251 caregivers were enrolled. The CFA showed good goodness of fit for both patients and caregivers. The tested hypotheses supported criterion validity in both groups. Reliability was adequate: All KR-20 values in both groups and domains were higher than 0.60. The mean percentage of knowledge score on DKT2 was lower for patients than caregivers.

CONCLUSION

The DKT2 is a valid and reliable scale to assess overall knowledge of diabetes, considering its role in promoting appropriate self-care behaviors in patients with type 2 diabetes mellitus. The Italian version of DKT2 demonstrated reliability and validity, and it can be used by researchers and diabetes care and education specialists to assess a patient's or population's overall knowledge of diabetes.

Utilization of diabetes self-management program among breast, prostate, and colorectal cancer survivors: Using 2006-2019 Texas Medicare data

BACKGROUND

Cancer treatment is associated with inferior health outcomes such as diabetes. Medicare provides Diabetes Self-Management Training (DSMT) program to beneficiaries to achieve normal metabolic control and reduce the risk of micro and macro-vascular complications. This study aimed to examine the trend of DSMT utilization among cancer survivors and assess individual characteristics associated with it.

METHODS

The data for this study was from Texas Cancer Registry-Medicare linkage data of patients with prostate, breast, or colorectal cancer diagnosed in 1999-2017. Outcome variables include the number of first-time DSMT users, the number of total users, and the average number of DSMT utilization in minutes. We performed logistic regression and gamma regression to obtain a multivariable-adjusted odds ratio for the association between DSMT utilization and individual characteristics.

RESULTS

The number of first-time users has slowly increased over the years (from 99 to 769 per 1,000) but suddenly dropped after 2016. The number of all users (first-time and follow-up users) has increased (from 123 to 1,201 per 1,000) and plateaued after 2016. Determinants including Hispanic ethnicity (O.R. = 1.10) and Medicare-Medicaid dual eligibility (O.R. = 1.25) are positively associated with both the initiation and retention of the DSMT. A barrier to both initiation and retention of DSMT is living in a metropolitan area (O.R. = 0.90).

CONCLUSIONS

Multi-level strategies to enhance accessibility and availability of DSMT programs for Medicare beneficiaries are highly recommended. Examining the determinants of initiation and retention of DSMT over 14 years provides insights on strategies to meet the needs of cancer survivors and reduce the burden of diabetes on them.

Learning in a Virtual Environment to Improve Type 2 Diabetes Outcomes: Randomized Controlled Trial

BACKGROUND

Given the importance of self-management in type 2 diabetes mellitus (T2DM), a major aspect of health is providing diabetes self-management education and support. Known barriers include access, availability, and the lack of follow through on referral to education programs. Virtual education and support have increased in use over the last few years.

OBJECTIVE

The purpose of the Diabetes Learning in a Virtual Environment (LIVE) study was to compare the effects of the LIVE intervention (educational 3D world) to a diabetes self-management education and support control website on diet and physical activity behaviors and behavioral and metabolic outcomes in adults with T2DM over 12 months.

METHODS

The LIVE study was a 52-week multisite randomized controlled trial with longitudinal repeated measures. Participants were randomized to LIVE (n=102) or a control website (n=109). Both contained the same educational materials, but the virtual environment was synchronous and interactive, whereas the control was a flat website. Data were collected at baseline and 3, 6, and 12 months using surveys and clinical, laboratory, and Fitbit measures. Descriptive statistics included baseline characteristics and demographics. The effects of the intervention were initially examined by comparing the means and SDs of the outcomes across the 4 time points between study arms, followed by multilevel modeling on trajectories of the outcomes over the 12 months.

RESULTS

This trial included 211 participants who consented. The mean age was 58.85 (SD 10.1) years, and a majority were White (127/211, 60.2%), non-Hispanic (198/211, 93.8%), married (107/190, 56.3%), and female (125/211, 59.2%). Mean hemoglobin A1c (HbA1c) level at baseline was 7.64% (SD 1.79%) and mean BMI was 33.51 (SD 7.25). We examined weight loss status versus randomized group, where data with no weight change were eliminated, and the LIVE group experienced significantly more weight loss than the control group (P=.04). There were no significant differences between groups in changes in physical activity and dietary outcomes (all P>.05), but each group showed an increase in physical activity. Both groups experienced a decrease in mean HbA1c level, systolic and diastolic blood pressure, cholesterol, and triglycerides over the course of 12 months of study participation, including those participants whose baseline HbA1c level was 8.6% or higher.

CONCLUSIONS

This study confirmed that there were minor positive changes on glycemic targets in both groups over the 12-month study period; however, the majority of the participants began with optimal HbA1c levels. We did find clinically relevant metabolic changes in those who began with an HbA1c level >8.6% in both groups. This study provided a variety of resources to our participants in both study groups, and we conclude that a toolkit with a variety of services would be helpful to improving self-care in the future for persons with T2DM.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02040038; https://clinicaltrials.gov/ct2/show/NCT02040038.

Dia-D Program: propositional essay of an educational intervention for self-management in type 2 diabetes

Abstract Objective to present the Diabetes em Dia (Dia-D) Program: an educational intervention for self-management in type 2 diabetes, focused on promoting healthy eating, being active, and taking medication, among adults with type 2 diabetes. Method a propositional essay of complex intervention based on two behavioral models: The ADCES7 Self-Care Behaviors™ (Association of Diabetes Care and Education Specialists); and the Behavior Change Wheel (BCW). Results BCW’s conceptual framework “Capability, Opportunity, Motivation-Behaviour (COM-B)” made it possible to define the determinants of target behaviors. Based on these, interventions were proposed, such as training, enablement, education, environmental restructuring, persuasion, service provision, guidelines, and communication. Behavior change techniques (demonstration and self-monitoring of behavior, information on health consequences, among others) underpinned the intervention content. Final considerations and implications for practice the theoretical models enabled the structuring of an educational intervention with an emphasis on proposing strategies for behavior modification, a central component in caring for people with diabetes. The relevance of adopting behavioral models in health education planning and the complex nature of the intervention design stand out.

Programa Dia-D: ensaio propositivo de intervenção educativa para autogerenciamento em diabetes tipo 2

Resumo Objetivo apresentar o Programa Diabetes em Dia (Dia-D): uma intervenção educativa para autogerenciamento do diabetes tipo 2 focada em promover alimentação saudável, prática regular de atividade física e uso correto de medicamentos entre adultos com diabetes tipo 2. Método ensaio propositivo de intervenção complexa, fundamentado em dois modelos comportamentais: The ADCES7 Self-Care Behaviors™ (Associação de Especialistas em Cuidados e Educação em Diabetes); e Behaviour Change Wheel (BCW). Resultados a estrutura conceitual “Capability, Opportunity, Motivation-Behaviour (COM-B)” do BCW possibilitou a definição dos determinantes dos comportamentos-alvo. A partir desses, foram propostas as intervenções de treinamento, capacitação, educação, reestruturação ambiental, persuasão, provisão de serviços, diretrizes e comunicação. Técnicas de mudança de comportamento (demonstração e automonitorização do comportamento, informações sobre consequências de saúde, entre outras) alicercearam o conteúdo da intervenção. Considerações finais e implicações para prática os modelos teóricos possibilitaram a estruturação de intervenção educativa com ênfase na proposição de estratégias para modificação de comportamentos, componente central no cuidado a pessoa com diabetes. Destaca-se a relevância de adoção de modelos comportamentais no planejamento da educação em saúde e o caráter complexo no delineamento da intervenção.

Effects of a Diabetes Self-Management Education Program on Glucose Levels and Self-Care in Type 1 Diabetes: A Pilot Randomized Controlled Trial

(1) Background: Several factors have been associated with the success of health education programs, such contact time, with better results being obtained from more intensive programs and early outcome measurement. Nurses play an essential role in educating patients with diabetes both in disease-management, therapeutic education, and healthy lifestyles promotion as well as emotion management. The objective was to evaluate the effectiveness of a nurse-led educational program based on patients with type 1 diabetes; (2) Methods: An experimental, two-group comparison design, 69 patients participated in the intervention group and 62 in control group. The control group received routine health education and follow-up. The intervention group received intensive educational program led by nurses. The effects were evaluated after 1 and 3 months of intervention; (3) Results: The differences between groups in sensor usage, knowledge, and diabetes self-care three months after the educational program were significant; (4) Conclusions: The program could help type 1 diabetes patients to improve the control rates for blood glucose. The continuous glucose monitoring sensor allowed knowing which parameters improved one and three months after the intervention. The hypothesis of the influence of the emotional state on glucose levels was confirmed.

Racial and Ethnic Disparities in Diabetes Clinical Care and Management: A Narrative Review

Diabetes affects nearly 37 million Americans, with disproportionately higher disease burden amongst those from minoritized communities. The result of this is greater rates of diabetic complications and mortality. To close this gap in care, it is important to assess the differences in both diagnosis and care between White and ethnic/racial minoritized persons with diabetes. The purpose of this narrative review is to explore this further by assessing the differences in diagnosis, management, diabetes education, and complications.

Exploring facilitators and barriers to self-management engagement of Chinese people with type 2 diabetes mellitus and poor blood glucose control: a descriptive qualitative study

AIMS

To explore facilitators and barriers to self-management engagement of Chinese people with poorly controlled type 2 diabetes.

METHODS

Purposive sampling method was used for recruitment. Semi-structured interview and thematic analysis was used for data collection and analysis.

RESULTS

Twenty-six semi-structured interviews were conducted. Poor blood glucose control introduced awareness of susceptibility to complications, while mental disorders could be concomitant. General knowledge about healthy lifestyle and unhealthy habits impeded lifestyle management. Temporary remission of hyperglycemia and no perceived symptoms interfered engagement of medication therapy and regular blood glucose monitoring. Family and work environments could impact self-management engagement. Accessibility to reliable diabetes-related information influenced self-management engagement.

CONCLUSIONS

Awareness of susceptibility to complications motivated self-management engagement, while the awareness could cause mental disorders that need to be addressed. Customized lifestyle plans and behavior change technologies were crucial for lifestyle management. The progression of diabetes, importance of continuity of medication therapy, and the value of blood glucose monitoring should be clarified in diabetes education. Building diabetes-friendly social environments and providing reliable diabetes-related information were essential.

Social Care Recommendations in National Diabetes Treatment Guidelines

PURPOSE OF REVIEW

An expanding body of research documents associations between socioeconomic circumstances and health outcomes, which has led health care institutions to invest in new activities to identify and address patients' social circumstances in the context of care delivery. Despite growing national investment in these "social care" initiatives, the extent to which social care activities are routinely incorporated into care for patients with type II diabetes mellitus (T2D), specifically, is unknown. We conducted a scoping review of existing T2D treatment and management guidelines to explore whether and how these guidelines incorporate recommendations that reflect social care practice categories.

RECENT FINDINGS

We applied search terms to locate all T2D treatment and management guidelines for adults published in the US from 1977 to 2021. The search captured 158 national guidelines. We subsequently applied the National Academies of Science, Engineering, and Medicine framework to search each guideline for recommendations related to five social care activities: Awareness, Adjustment, Assistance, Advocacy, and Alignment. The majority of guidelines (122; 77%) did not recommend any social care activities. The remainder (36; 23%) referred to one or more social care activities. In the guidelines that referred to at least one type of social care activity, adjustments to medical treatment based on social risk were most common [34/36 (94%)]. Recommended adjustments included decreasing medication costs to accommodate financial strain, changing literacy level or language of handouts, and providing virtual visits to accommodate transportation insecurity. Ensuring that practice guidelines more consistently reflect social care best practices may improve outcomes for patients living with T2D.

Impact of a Digitally Enhanced Diabetes Self-Management Program on Glycemia and Medical Costs

OBJECTIVE

To analyze economic savings and health impacts associated with a virtual digitally enhanced diabetes self-management education and support (DSMES) program.

RESEARCH DESIGN AND METHODS

Participants (n = 1,494) were nonpregnant adults with diagnosed type 2 diabetes and baseline body mass index (BMI) of 25 kg/m² (23 kg/m² if of Asian descent) or higher who enrolled in virtual DSMES between February 2019 and April 2020 for at least 4 months. Participants' changes in glycated hemoglobin (A1C) and body weight were calculated as the difference between program start and last recorded values between months 4 and 6. Outcomes for all participants were analyzed; subanalyses were done on 628 participants with starting A1C >7% (53 mmol/mol), who could benefit most from DSMES. Markov-based microsimulation approach was used to model the potential reductions in diabetes sequalae and medical expenditures if observed improvements in A1C and BMI were maintained.

RESULTS

DSMES participants with starting A1C >7% experienced average reductions of 0.9% A1C and 2.1 kg of body weight (-1.7% of BMI) within 6 months. If these improvements were maintained, simulated outcomes include reduced 5-year onset of ischemic heart disease by 9.2%, myocardial infarction by 10.6%, stroke by 12.1%, chronic kidney disease by 16.5%, and reduced onset of other sequelae. Simulated cumulative reduction in medical expenditures is $1160 after 1 year, $4150 after 3 years, $7790 after 5 years, and $18 020 after 10 years.

CONCLUSIONS

Participation in virtual DSMES improves A1C and body weight, with the potential to slow onset of diabetes sequelae and reduce medical expenditures.

Diabetes Education and Support Tele-Visit Needs Differ in Duration, Content, and Satisfaction in Older Versus Younger Adults

BACKGROUND

Diabetes education and support are critical components of diabetes care. During the COVID-19 pandemic, when telemedicine took the place of in-person visits, remote Certified Diabetes Care and Education Specialist (CDCES) services were offered to address diabetes education and support. Specific needs for older adults, including the time required to provide education and support remotely, have not been previously reported.

METHODS

Adults with diabetes (primarily insulin-requiring) were referred to remote CDCESs. Utilization was individualized based on patient needs and preferences. Topics discussed, patient satisfaction, and time spent in each tele-visit were evaluated by diabetes type, age, sex, insurance type, glycosylated hemoglobin (HbA1c), pump, and continuous glucose monitor (CGM) usage. t-Tests, one-way analysis of variance, and Pearson correlations were employed as appropriate.

RESULTS

Adults (n = 982; mean age 48.4 years, 41.0% age ≥55 years) with type 1 diabetes (n = 846) and type 2 diabetes mellitus (n = 136, 86.0% insulin-treated), 50.8% female; 19.0% Medicaid, 29.1% Medicare, 48.9% private insurance; mean HbA1c 8.4% (standard deviation 1.9); and 46.6% pump and 64.5% CGM users had 2203 tele-visits with remote CDCESs over 5 months. Of those referred, 272 (21.7%) could not be reached or did not receive education/support. Older age (≥55 years), compared with 36-54 year olds and 18-35 year olds, respectively, was associated with more tele-visits (mean 2.6 vs. 2.2 and 1.8) and more time/tele-visits (mean 20.4 min vs. 16.5 min and 14.8 min; p < 0.001) as was coverage with Medicare (mean 2.8 visits) versus private insurance (mean 2.0 visits; p < 0.001) and lower participant satisfaction. The total mean time spent with remote CDCESs was 53.1, 37.4, and 26.2 min for participants aged ≥55, 36-54, and 18-35 years, respectively. During remote tele-visits, the most frequently discussed topics per participant were CGM and insulin pump use (73.4% and 49.7%). After adjustment for sex and diabetes type, older age was associated with lack of access to a computer, tablet, smartphone, or internet (p < 0.001), and need for more education related to CGM (p < 0.001), medications (p = 0.015), hypoglycemia (p = 0.044), and hyperglycemia (p = 0.048).

DISCUSSION

Most remote CDCES tele-visits were successfully completed. Older adults/those with Medicare required more time to fulfill educational needs. Although 85.7% of individual sessions lasted <30 min, which does not meet current Medicare requirements for reimbursement, multiple visits were common with a total time of >50 min for most older participants. This suggests that new reimbursement models are needed. Education/support needs of insulin-treated older adults should be a focus of future studies.

A randomized trial of comparing video telecare education vs. in-person education on dietary regimen compliance in patients with type 2 diabetes mellitus: a support for clinical telehealth Providers

BACKGROUND

Compliance to dietary recommendations by patients is the most difficult part of diabetes management. The nature of any educational method is to increase patients' awareness. But the question is, what is the effect of each method and for this purpose a comparative method should be considered. Therefore, this study was conducted to compare the effects of in-person education versus video tele-education on dietary regimen compliance in patients with T2DM.

METHODS

In this trial, 378 patients with type 2 diabetes mellitus (T2DM) were random allocated into video tele-education, in-person education and control groups. The patients' weight and biochemical parameters were measured before educational programs and three-month later.

RESULTS

The mean changes of patients' weight, glycemic parameters, and Lipid profiles decreased more in the two educational groups than the control group in a three-month period. There were no significant differences in the all study variables between the in-person and video education groups in post interventions except Total Cholesterol (TC). The pre- and post-intervention changes in the weight, TC, hemoglobin A1c, Triglyceride, and Very Low-density Lipoprotein Cholesterol were significant in both in-person group and video group. None of the educational programs had a significant impact on the Fasting blood sugar, Low-Density Lipoprotein Cholesterol, and High-Density Lipoprotein Cholesterol.

DISCUSSION

Video tele-education was just as effective as in-person educational method on dietary regimen compliance among patients with T2DM in a three-month period. Therefore, it is recommended to use video tele-education in combination with or as an alternative to the in-person education method. This study provides support for diabetes educator.

TRIAL REGISTRATION

This investigation was registered in the Iranian Registry of Clinical Trials Center ( IRCT20150302021307N4 ).

"Something Tells Me I Can't Do That No More": Experiences With Real-Time Glucose and Activity Monitoring Among Underserved Black Women With Type 2 Diabetes

PURPOSE

The purpose of the study was to explore self-regulation skills with real-time activity and glucose monitoring among Black women with type 2 diabetes (T2DM).

METHODS

A small acceptability trial was conducted using technology (continuous glucose monitors and Fitbit) to facilitate core behaviors associated with self-regulation (self-monitoring/assessment, learning, mental contrasting [comparing current values with goal values], and goal setting/review). Participants were given continuous glucose monitors and Fitbit activity trackers for self-monitoring of blood glucose and activity. Two sessions of group diabetes education were also offered. Following the intervention, semistructured interviews and subsequent content analyses were conducted to explore how the women's experiences reflected certain self-regulation behaviors.

RESULTS

Eight underserved Black women with non-insulin-requiring T2DM were included (age = 68 ± 5.2 years; A1C = 6.6% ± 1.1%; 15.3 ± 7.2 years since diagnosis). Content analysis revealed themes that were consistent with core self-regulation behaviors: experiential learning through self-monitoring, mental contrasting, and impact on behavior (actual behavior change and motivation to change behavior).

CONCLUSIONS

With use of real-time glucose and activity monitoring, underserved Black women with T2DM described how they used the data from the devices to make choices about eating and activity behaviors.

Diabetes Self-Management Education and Association With Diabetes Self-Care and Clinical Preventive Care Practices

PURPOSE

The purpose of the study is to assess self-reported receipt of diabetes education among people with diabetes and its association with following recommended self-care and clinical preventive care practices.

METHODS

We analyzed data from the 2017 and 2018 Behavioral Risk Factor Surveillance System for 61 424 adults (≥18 years) with self-reported diabetes in 43 states and Washington, DC. Diabetes education was defined as ever taking a diabetes self-management class. The association of diabetes education with self-care practices (daily glucose testing, daily foot checks, smoking abstention, and engaging in leisure-time physical activity) and clinical practices (pneumococcal vaccination, biannual A1C test, and an annual dilated eye exam, influenza vaccination, health care visit for diabetes, and foot exam by a medical professional) was assessed. Multivariable logistic regression with predicted margins was used to predict the probability of following these practices, by diabetes education, controlling for sociodemographic factors.

RESULTS

Of adults with diabetes, only half reported receiving diabetes education. Results indicate that receipt of diabetes education is associated with following self-care and clinical preventive care practices. Those who did receive diabetes education had a higher predicted probability for following all 4 self-care practices (smoking abstention, daily glucose testing, daily foot check, and engaging in leisure-time physical activity) and all 6 clinical practices (pneumonia vaccination, biannual A1C test, and an annual eye exam, flu vaccination, health care visit, and medical foot exam).

CONCLUSIONS

The prevalence of adults with diabetes receiving diabetes education remains low. Increasing receipt of diabetes education may improve diabetes-related preventive care.

2022 National Standards for Diabetes Self-Management Education and Support

PURPOSE

The National Standards for Diabetes Self-Management Education and Support (DSMES) provide guidance and evidence-based, quality practice for all DSMES services. Due to the dynamic nature of health care and diabetes research, the National Standards are reviewed and revised approximately every 5 years by key stakeholders and experts within the diabetes care and education community. For each revision, the Task Force is charged with reviewing the current National Standards for appropriateness, relevance, and scientific basis and making updates based on current evidence and expert consensus. In 2021, the group was tasked with reducing administrative burden related to DSMES implementation across diverse care settings.

CONCLUSION

The evidence supporting the 2022 National Standards clearly identifies the need to provide person-centered services that embrace cultural differences, social determinants of health, and the ever-increasing technological engagement platforms and systems. Payers are invited to review the National Standards as a tool to inform and modernize DSMES reimbursement requirements and to align with the evolving needs of people with diabetes (PWD) and physicians/other qualified health care professionals. The American Diabetes Association and the Association of Diabetes Care & Education Specialists strongly advocate for health equity to ensure all PWD have access to this critical service proven to improve outcomes both related to and beyond diabetes. The 2022 National Standards update is meant to be a universal document that is easy to understand and can be implemented by the entire health care community. DSMES teams in collaboration with primary care have been shown to be the most effective approach to overcome therapeutic inertia.

The Effects of Diabetes Self-Management Education on Quality of Life for Persons With Type 1 Diabetes: A Systematic Review of Randomized Controlled Trials

PURPOSE

It is well documented that chronic conditions, such as diabetes, impact quality of life (QoL). QoL assessment is essential when developing and evaluating diabetes self-management education support interventions. The aim of this systematic review was to evaluate the evidence and gaps in the research and the impact of diabetes self-management education (DSME) on QoL outcomes in persons with type 1 diabetes mellitus (T1DM).

METHODS

A systematic review of English language studies published between January 1, 2007, and March 31, 2020, was conducted using a modified Cochrane review method. Studies were included if they were randomized controlled trials (RCTs), participants had T1DM with or without caregivers, a DSME intervention alone or a component(s) of the ADCES7™ Self-Care Behaviors was described, and QoL was a primary or secondary outcome. A 3-tiered review process was utilized for selecting articles. Retained articles were assessed for risk of bias.

RESULTS

Nineteen articles, reporting on 17 RCTs, met inclusion criteria, of which 7 studies reported QoL as the primary outcome and 10 as a secondary outcome. Seven studies detected significant impact of DMSE on QoL outcomes in either the participants or family caregivers, which varied in participant populations, selection of QoL tools (generic vs diabetes-specific), intervention type, intervention length, and type of interventionist.

CONCLUSION

DSME has the potential to influence QoL outcomes in people with T1DM. Research using more standardized methods are needed to delineate impact on a broader range of factors that influence QoL for those living with T1DM across the life span and their caregivers.

Self-Care in Patients with Non-Optimal Diabetes Management in Brazilian Rural Areas: A Mixed-Methods Study

PURPOSE

This study aims to assess self-care in patients with non-optimal diabetes management (HbA1c >7.0% for adults and >8.0 for those aged 60 or over) and the positive and negative experiences associated with it in the rural communities of a Brazilian municipality.

PATIENT AND METHODS

This is a cross-sectional mixed-methods study. The data were collected from participants with high HbA1c through focus group discussions, subsequently performing thematic analysis, and through structured questionnaires (socioeconomic characteristics and the Summary of Diabetes Self-Care Activities (SDSCA)).

RESULTS

The mean HbA1c of the 156 study participants was 9.94% (95% confidence interval: 9.70-10.19%) and most participants (86.54%) had negative self-care behaviors, with an overall SDSCA mean score of 3.55. This mean was not positive for any of the socioeconomic characteristics. The self-care activities with the most satisfactory performance concerned non-smoking and the use of prescribed medications, and the poorest results were observed for the practice of specific physical activities. The qualitative data indicated that the study participants face many difficulties regarding self-care practices, especially those related to an adequate diet.

CONCLUSION

The self-care assessment revealed unsatisfactory self-care behaviors as well as high HbA1c levels among the study participants and highlighted the various difficulties they encounter. This indicates the need for more attentive health teams to monitor patients, especially regarding actions focused on the non-pharmacological elements of self-care, such as lifestyle changes, which were found to be the dimensions with the most unsatisfactory results.

Improving Quality Outcomes: The Value of Diabetes Care and Education Specialists

Given the growing prevalence and accelerating cost of diabetes, there is an urgent need to expand strategies in health care that improve access and outcomes and reduce the financial and human burden of the disease. Diabetes care and education specialists (DCESs) are well positioned to assist health care systems with delivery models that enhance diabetes care through evidence-based standards and quality improvement strategies. DCESs have increased opportunities to apply their competencies in primary, specialty, hospital, and acute care settings; accountable care organizations; community settings; research; and academia. Two national certification programs provide an evidence-based foundation for quality in the specialty, with updated competencies guiding practice. This article serves as a call to action for health care systems to integrate specialists in diabetes care and education into diabetes care delivery models and raise awareness of the positive impact these professionals have on the lives of people with diabetes.

Evaluation of Turkey diabetes self-management education in geriatrics with type 2 diabetes

BACKGROUND

This study was conducted to evaluate the diabetes education efficiency of individuals over 65 years old in Turkey, which has the highest prevalence of diabetes in Europe.

METHODS

We retrospectively evaluated 320 patients who attended Turkey diabetes self-management group education program (TDSMEP) between 2016 and 2020 in a secondary hospital. Participants who have been followed up for a maximum of 9 months are grouped as over 65 years old and under.

RESULTS

Of the 320 patients, 114 formed the geriatric group and 206 the non-geriatric group. After the training, the number of patients who had HbA1c ≤7% increased significantly in both the geriatric (28.1%-45.6%) and non-geriatric (19.9%-42.2%) (p = 0.001) groups. After the training, similar HbA1c goals were achieved in the geriatric and non-geriatric groups. The most significant HbA1c decrease was observed at the 3rd month of follow-up and remained stable until the 9th month. In logistic regression analysis, the factors affecting HbA1c failure (HbA1c >7%) after training in the geriatric group were long diabetes duration (OR = 1.07, 95% CI = 1.02-1.13, p = 0.01), high basal HbA1c levels (OR = 1.31, 95% CI = 1.03-1.67, p = 0.03), and low education level (OR = 3.88, 95% CI = 1.54-9.76, p = 0.001).

CONCLUSIONS

This is the first study to evaluate the effectiveness of TDSMEP for geriatric individuals whose HbA1c ≤7% increased from 28% to 45.6% during follow-up after the training. TDSMEP is recommended for all adult age groups, regardless of age range.

Mental Health History and DECIDE (Decision-Making Education for Choices in Diabetes Everyday) Diabetes Support Program Outcomes Among African Americans With Type 2 Diabetes

PURPOSE

The purpose of this study was to determine behavioral and clinical outcomes of the DECIDE (Decision-Making Education for Choices in Diabetes Everyday) diabetes support program trial participants with and without a mental health (MH) history by treatment arm.

METHODS

A secondary analysis was conducted of data from the DECIDE trial sample of urban African American adults with type 2 diabetes (T2DM; N = 137) who received the DECIDE diabetes support program in 1 of 3 delivery formats: self-study (n = 46), individual (n = 45), and group (n = 46). Positive screen on the Patient Health Questionnaire-2 and/or reported MH diagnosis were coded as MH history. Self-management, knowledge, problem-solving, and A1C data at baseline and 1 week and 6 months postintervention were analyzed for participants with and without MH history.

RESULTS

Prevalence of MH history was 37% in the sample. Among those with no MH history, knowledge and problem-solving improved at 6 months postintervention in all intervention arms. For those with MH history, knowledge and problem-solving improved in the self-study and individual arms but not in the group arm. Clinically but not statistically significant changes in A1C were observed at 6 months.

CONCLUSIONS

In an urban minority T2DM sample, those with an MH history benefited from the intervention, but delivery format mattered, with robust improvements when participants with an MH history received self-directed or one-on-one formats rather than group.

Effectiveness of a Problem-Solving Program in Improving Problem-Solving Ability and Glycemic Control for Diabetics with Hypoglycemia

The purpose of this study was to evaluate the effects of a hypoglycemia problem-solving program (HPSP) on problem-solving ability and glycemic control in diabetics with hypoglycemia. This was a prospective, quasi-experimental study with two groups, using a pre- and post-repeated measures design. A total of 71 diabetic patients with hypoglycemia were purposively assigned to an experimental group (n = 34) and a control group (n = 37). The experimental group participated in an 8-week HPSP, and each weekly session lasted approximately 90 min, while the control group received usual care. Participants were assessed at baseline, 1, 3, and 6 months after intervention care. In the experimental group, 6 months after the HPSP intervention, HbA1c was superior to that before the intervention. In both groups, the score obtained using the hypoglycemia problem-solving scale (HPSS) was low before the intervention. In the experimental group, HPSS tracking improved at all stages after the intervention compared to before the intervention. In the control group, the HPSS score improved slightly in the first month and sixth months after usual care. There were significant differences between and within groups in HbA1c levels and HPSS score over time. The intervention based on the HPSP effectively improves HbA1c level and hypoglycemia problem-solving ability in patients with hypoglycemia.

Rural-urban differences in uptake of diabetes self-management education among Medicare beneficiaries: Results from the 2016 to 2018 Medicare Current Beneficiary Survey

PURPOSE

To assess rural-urban differences in participation rates of diabetes self-management education and associated factors among Medicare beneficiaries with type 2 diabetes (T2DM).

METHODS

Data were from the 2016 to 2018 Medicare Current Beneficiary Survey (MCBS). Participation in diabetes self-management education was self-reported. The study sample included 3,799 beneficiaries aged 65 years and older with self-reported T2DM. Logistic regression was used to assess the association of participation in diabetes self-management education and residential location. Sampling weights embedded in the MCBS were incorporated into all analyses.

FINDINGS

Overall, the participation rate of diabetes self-management education was 46.8% (95% CI: 44.4%-49.2%). The rate was 40.3% for beneficiaries in rural areas, 48.0% for suburban areas, and 47.3% for urban areas. About 31% of beneficiaries newly diagnosed with diabetes did not participate within the past year. Controlling for other covariates, beneficiaries in rural areas were less likely to have participated in diabetes self-management education (AOR = 0.73, 95% CI: 0.55-0.95) than those living in urban areas. Asian Americans were less likely to have participated (AOR = 0.49, 95% CI: 0.28-0.84) than Whites. Those who were older, with lower education, and lower income levels were less likely to have participated (P < .05).

CONCLUSIONS

Recent MCBS data indicate that more than half of Medicare beneficiaries with T2DM did not participate in diabetes self-management education, and the participation rate in rural areas was 7 percentage points lower than that ​in urban areas. The study findings highlight challenges to maximize the benefits of participating in diabetes self-management education, particularly in rural areas.

Nutrition in Physical Therapist Practice: Tools and Strategies to Act Now

It has been established that physical therapist practice includes screening for and providing information on diet and nutrition to patients, clients, and the community. Yet, an overwhelming amount of often contradictory diet and nutrition information poses a challenge for physical therapists to identify and maintain knowledge that they can rely on to screen for and discuss these topics with their patients, clients, and community members. The purposes of this perspective paper are to summarize the best known screening tools for general health, diet, and nutrition; provide intervention strategies that can be used to support behavior change related to diet and nutrition; and identify the most relevant resources and approaches from which physical therapist clinicians can build skill in addressing the nutritional needs of patients, clients, and the community.

From the Association of Diabetes Care & Education Specialists: The Role of the Diabetes Care and Education Specialist as a Champion of Technology Integration

It is the position of the Association of Diabetes Care & Education Specialists that diabetes care and education specialists should play a central role in establishing and maintaining technology-enabled care in a variety of practice settings to optimize outcomes for people with diabetes and cardiometabolic conditions. The objectives of this position statement are to outline the role of diabetes care and education specialists as leaders in technology integration and to describe the resources and guidance the Association has developed to facilitate success in this role.

Practical Strategies to Help Reduce Added Sugars Consumption to Support Glycemic and Weight Management Goals

Overconsumption of added sugars is a key contributor to the growing obesity, prediabetes, and type 2 diabetes pandemics. The nutrition therapy guidance of the American Diabetes Association recognizes that using low- and no-calorie sweeteners (LNCS) to reduce consumption of added sugars can reduce low-nutrient-density sources of calories and carbohydrate to beneficially affect glycemia, weight, and cardiometabolic health. This article provides information for primary care providers, diabetes care and education specialists, and other diabetes clinicians on the safety of LNCS and summarizes research evidence on the role of LNCS in glycemic and weight management. It also provides practical strategies for counseling individuals about how to integrate LNCS into their healthy eating pattern.

An Umbrella Review of Text Message Programs for Adults With Type 2 Diabetes

Purpose

The purpose of this umbrella review was to synthesize the evidence from published systematic reviews on the effectiveness of text message programs for adults with type 2 diabetes (T2DM) on glycemic management (A1C), self-management, and other clinical outcomes. The effect of directionality of the program was also explored.

Methods

A systematic search was conducted using multiple databases. Inclusion criteria were systematic review of text message programs for adults with T2DM, evaluated A1C, and English language. Quality assessment was completed using AMSTAR-2 guidelines. Data were extracted by multiple coders, and results were synthesized.

Results

The final sample included 9 systematic reviews published between 2011 and 2019, with 72 unique international studies. Text message programs focused on diabetes self-management and reducing health risks through educational and motivational content with some providing personalized feedback. A meta-analysis of program effect on A1C was conducted in 5 reviews with a pooled difference in A1C from −0.38% to −0.8%. Adults with T2DM of shorter duration and lower A1C had better treatment effects. Evidence on unidirectional versus bidirectional programs is conflicting; however, both improve outcomes. Evidence of text message programs targeting medication engagement was inconclusive. Some programs improved blood pressure, lipids, self-management, self-efficacy, and health behaviors. High satisfaction and an average of 9.6% to 18.7% attrition was reported.

Conclusions

Text messaging programs can improve T2DM outcomes, are a highly accessible mode of communication, are relatively inexpensive, and are an underutilized adjunct to clinical care.

Clouds and Silver Linings: COVID-19 Pandemic Is an Opportune Moment to Democratize Diabetes Care Through Telehealth

With the recent pivot to telehealth as a direct result of the COVID-19 pandemic, there is an imperative to ensure that access to affordable devices and technologies with remote monitoring capabilities for people with diabetes becomes equitable. In addition, expanding the use of remote Diabetes Self-Management Education and Support (DSMES) and Medical Nutrition Therapy (MNT) services will require new strategies for achieving long-term, effective, continuous, data-driven care. The current COVID-19 pandemic has especially impacted underserved US communities that were already disproportionately impacted by diabetes. Historically, these same communities have faced barriers in accessing timely and effective diabetes care including access to DSMES and MNT services, and diabetes technologies. Our call to action encourages all involved to urge US Federal representatives to widen access to the array of technologies necessary for successful telehealth-delivered care beyond COVID-19.

Diabetes to Go-Inpatient: Pragmatic Lessons Learned from Implementation of Technology-Enabled Diabetes Survival Skills Education Within Nursing Unit Workflow in an Urban, Tertiary Care Hospital

BACKGROUND

Diabetes survival skills education (DSSE) focuses on core knowledge and skills necessary for safe, effective, short-term diabetes self-care. Inpatient DSSE delivery approaches are needed. Diabetes to Go (D2Go) is an evidence-based DSSE program originally designed for outpatients.

METHODS

Implementation science principles were used to redesign D2Go for delivery by staff on medicine and surgery units in a tertiary care hospital to adults with type 2 diabetes (T2DM) using a tablet-based e-learning platform. Implementation efficacy was evaluated from staff and patient engagement perspectives. The Practical, Robust Implementation and Sustainability Model (PRISM) guided redesign. The team conducted qualitative evaluation (implementation barriers and facilitators); program redesign (via stakeholder feedback and education and human factors principles); implementation design for tablet delivery and patient engagement by unit staff; and a prospective implementation feasibility study.

RESULTS

Among 596 T2DM patients identified on three medical/surgical units, 415 (69.6%) were program eligible. Of those eligible, 59 (14.2%) received, accessed, and engaged with the platform; and among those, 43 (72.9%) completed the intervention, representing just 10.4% of those eligible. Multilevel implementation barriers were encountered: staff (receptivity, time, production pressures, culture); process (electronic health record [EHR] integration, patient identification, data tracking, bedside delivery); and patient (receptivity, acuity, availability, accessibility). Most completers required technology support.

CONCLUSION

Time constraints, limited EHR integration, and patient barriers markedly impeded implementation of the delivery of diabetes education at the bedside, despite stated staff interest. As a result, uptake and adoption of a tablet-based DSSE e-learning program in a high-acuity care setting was limited.

A Framework for Optimizing Technology-Enabled Diabetes and Cardiometabolic Care and Education: The Role of the Diabetes Care and Education Specialist

Purpose

The purpose of this article is to present a framework for optimizing technology-enabled diabetes and cardiometabolic care and education using a standardized approach. This approach leverages the expertise of the diabetes care and education specialist, the multiplicity of technologies, and integration with the care team. Technology can offer increased opportunity to improve health outcomes while also offering conveniences for people with diabetes and cardiometabolic conditions. The adoption and acceptance of technology is crucial to recognize the full potential for improving care. Understanding and incorporating the perceptions and behaviors associated with technology use can prevent a fragmented health care experience.

Conclusion

Diabetes care and education specialists (DCES) have a history of utilizing technology and data to deliver care and education when managing chronic conditions. With this unique skill set, DCES are strategically positioned to provide leadership to develop and deliver technology-enabled diabetes and cardiometabolic health services in the rapidly changing healthcare environment.