The science of diabetes self-management and care最新文献

Purpose: Explore the emotional experience of people with diabetes as they encounter words and phrases that have been previously identified as problematic and evaluate potential differences in their emotional impact based on type of diabetes and demographic characteristics.

Methods: A cross-sectional descriptive study employing an online survey of 107 adults with type 1 diabetes and 110 adults with type 2 diabetes. A semantic differential scale was used to examine feeling states associated with negative diabetes language. Descriptive statistics including means, standard deviations, and frequencies were calculated for all study variables. For each target word, frequencies of participants who endorsed a positive, neutral, or negative affective response on the sematic differential scale are reported.

Results: People with diabetes reported feeling blamed, misunderstood, hopeless, judged, not motivated, and not trusting in response to "noncompliant," "unmotivated," "in denial," "preventable," "failed," "should," "uncontrolled," "what did you do wrong," and "you could end up blind or on dialysis." Participants who have type 1 diabetes and are female, White, more educated, and younger reported more negative feelings about the target words.

Conclusion: People with diabetes experience highly negative affective responses when they read and hear previously identified words and phrases considered to be judgmental and unhelpful.

Purpose: The purpose of this study was to examine racial and ethnic differences in diabetes self-management education (DSME) participation among adults with diabetes.

Methods: Population-based, cross-sectional data from the 2020 Behavioral Risk Factor Surveillance System diabetes module were analyzed. Study cohort included 9881 adults age 18 years or older with self-reported diabetes living in 11 US states, Washington, DC, and Puerto Rico. The outcome variable was participation in DSME. Weighted descriptive statistics and multivariable logistic regression were computed to investigate the association between race and ethnicity and participation in DSME, adjusting for self-reported social determinants of health factors (eg, sex, education, employment, health insurance).

Results: Overall, 19.3% self-identified as non-Hispanic Black, 16.5% as Hispanic, and 59.9% as non-Hispanic White. Of participants, 44.3% were between 66 and 80 years old, and 50.4% were women. Half (50.1%) reported participating in DSME, and 78.5% had seen clinicians for diabetes-related care 1 to 5 times in the past year. Hispanic participants were less likely to report participation in DSME (28.5%) compared to non-Hispanic Black (60.3%) and non-Hispanic White (53.4%) participants (P < .001). Adults with diabetes who were less likely to participate in DSME tend to be unmarried, have high school or lower-level education, and not exercise regularly.

Conclusions: Racial and ethnic differences exist in DSME participation. Because DSME has been shown to improve diabetes outcomes, there is a need to develop strategies promoting equity in DSME participation, particularly among Hispanic populations, to reduce health disparities in diabetes care.

Purpose: The purpose of this study series, which involves a questionnaire survey and qualitative interviews, was to (a) evaluate patient-reported usefulness of continuous glucose monitor (CGM) hypoglycemia-informing features and (b) identify challenges in using these features (ie, CGM glucose numbers, trend arrows, trend graphs, and hypoglycemia alarms) during hypoglycemia in adults with type 1 diabetes (T1DM).

Methods: A cross-sectional questionnaire survey study was conducted with adults who have T1DM and were using CGMs to assess the perceived usefulness of hypoglycemia-informing features. A semistructured interview study with T1DM CGM-using adults and inductive thematic analysis were subsequently performed to identify challenges in using CGM hypoglycemia-informing features to manage hypoglycemia.

Results: In the survey study (N = 252), the CGM glucose numbers, trend arrows, trend graphs, and hypoglycemia alarms were found to be very useful by 79%, 70%, 43%, and 64% of participants, respectively. Several challenges in using these features to manage hypoglycemia were identified in the qualitative study (N = 23): (1) hypoglycemia information not fully reliable,; (2) unpredictability of future blood glucose levels, (3) lack of awareness about how information can be used, and (4) disruptions associated with information.

Conclusions: Although the majority of T1DM adults found their CGMs' hypoglycemia-informing features helpful, challenges in optimally using these features persisted. Targeted knowledge and behavioral interventions could improve CGM use to reduce hypoglycemia.

Purpose: The purpose of the study was to examine differences among adult patients with diabetes who receive care through a telementoring model versus care at an academic specialty clinic on guideline-recommended diabetes care and self-management behaviors.

Methods: Endocrinology-focused Extension for Community Healthcare Outcomes (ECHO Endo) patients completed surveys assessing demographics, access to care, health care quality, and self-management behaviors at enrollment and 1 year after program enrollment. Diabetes Comprehensive Care Center (DCCC) patients completed surveys at comparable time points.

Results: At baseline, ECHO patients were less likely than DCCC patients to identify English as their primary language, have postsecondary education, and private insurance. One year postenrollment, ECHO patients visited their usual source of diabetic care more frequently. There were no differences in A1C testing or feet checking by health care professionals, but ECHO patients were less likely to report eye exams and smoking status assessment. ECHO and DCCC patients did not differ in consumption of high-fat foods and soda, physical activity, or home feet checks. ECHO patients were less likely to space carbohydrates evenly and test glucose levels and more likely to have smoked cigarettes.

Conclusions: Endo ECHO is a suitable alternative to specialty care for patients in underserved communities with restricted access to specialty care. Results support the value of the Project ECHO telementoring model in addressing barriers to high-quality care for underserved communities.

Purpose: The purpose of this meta-analysis was to examine the association between preexisting diabetes in persons living with cancer on diabetes and oncology-related health outcomes. Understanding this association is of priority because the incidence of both cancer and diabetes mellitus is increasing worldwide.

Methods: A comprehensive review of the literature was conducted in collaboration with an expert health sciences librarian. Two authors independently conducted the screening, data collection, and extraction processes. The risk of bias was assessed using several tools, depending on the study design. Relative risks with 95% confidence intervals were calculated. The alpha threshold was 0.05. All analyses were performed using R statistical software (Metaphor and Demeter packages).

Results: A total of 45 studies met the selection criteria, but 23 were excluded from the synthesis because they did not have the ranked outcome or correct comparison (persons with and without diabetes), totaling 22 studies included in the meta-analysis. In comparison to participants without preexisting diabetes, participants with preexisting diabetes and cancer were found to have a significantly higher risk of infection and cardiovascular, neurological, gastrointestinal, hepatic, and renal complications. Concurrent preexisting diabetes and cancer were also associated with increased health care service utilization and length of hospital stay.

Conclusion: The findings from this review highlight the importance of optimal concurrent management of both diseases by overcoming the compartmentalization of medical specializations through (1) integrated, multidisciplinary, shared, and coordinated clinical care pathways between oncology and diabetes health care providers/teams and (2) the continued development of evidence-based clinical guidelines.

Purpose: The purpose of this study was to assess the feasibility of delivering the Diabetes Tune-Up Group (DTU), a cognitive-behavioral-therapy-based (CBT) multidisciplinary intervention for adults with diabetes distress and elevated A1C using a group in-person delivery format.

Methods: The DTU intervention consisted of 6 weekly group sessions (90 minutes in duration per session). The groups were cofacilitated by a diabetes care and education specialist (DCES) and a master's-level clinical psychology trainee. The intervention integrated CBT with patient-centered diabetes education. Using a pre/post study design, participants completed assessments at baseline, post-intervention, and 3 months following the intervention.

Results: The sample consisted of 29 adults with type 1 diabetes (N = 8) or type 2 diabetes (N = 21) who were predominantly female (79%), White (59%), and educated (56% with a college degree or greater). Participants attended 131 total sessions out of 174 possible sessions, for an overall attendance rate of 75.3%. At 3-month follow-up, significant improvements were observed in A1C values (mean decrease = 0.39%). Diabetes distress improved significantly from baseline (mean = 3.44, SD = 0.68) to post-intervention (mean = 2.94, SD = 0.68), and 3-month follow-up (mean = 2.55, SD = 0.75). Significant improvements were also observed in diabetes self-efficacy from baseline to post-intervention and at 3-month follow-up.

Conclusions: This group-based, multidisciplinary intervention resulted in improvements in A1C, diabetes distress, and patient self-efficacy in caring for diabetes. Future studies to validate this intervention approach across settings and delivery platforms are needed.

Purpose: The purpose of the study was to examine the relationship between satisfaction of Medicare coverage for out-of-pocket costs and problems paying medical bills among Medicare beneficiaries with type 2 diabetes.

Methods: The 2019 Medicare Current Beneficiary Survey Public Use File, a nationally representative sample of Medicare beneficiaries aged ≥65 years with type 2 diabetes, was analyzed (n = 2178). A survey-weighted multivariable logit regression model was conducted to examine the association between satisfaction of Medicare coverage for out-of-pocket costs and problems paying medical bills, adjusted for sociodemographics and comorbidities.

Results: Among study beneficiaries, 12.6% reported problems paying medical bills. Among those with and without problems paying medical bills, 59.5% and 12.8%, respectively, were dissatisfied with out-of-pocket costs. In the multivariable analysis, beneficiaries who were dissatisfied with out-of-pocket costs were more likely to report problems paying medical bills than those who were satisfied. Younger beneficiaries, beneficiaries with lower incomes, those with functional limitations, and those with multiple comorbidities were more likely to report problems paying medical bills.

Conclusions: Despite having health care coverage, more than one-tenth of Medicare beneficiaries with type 2 diabetes reported problems paying medical bills, which raises concerns about delaying or forgoing needed medical care due to unaffordability. Screenings and targeted interventions that identify and reduce financial hardships associated with out-of-pocket costs should be prioritized.

Purpose: The purpose of this study is to use text-mining methods to examine the dominant sources of online information and content about continuous glucose monitors (CGMs). Because the internet is the most popular source for health information, it is important to understand what is being said about CGMs in online sources of information.

Methods: A text miner, algorithmic-driven statistical program was used to identify the main sources of online information and topics on CGMs. Content was limited to English and was posted from August 1, 2020, to August 4, 2022. Using Brandwatch software, 17 940 messages were identified. After cleaning, there were 10 677 messages in final analyses conducted using SAS Text Miner V.12.1 software.

Results: The analysis identified 20 topics that formed 7 themes. Results show that most online information comes from news sources and focuses on the general benefits of CGM use. Beneficial aspects ranged from improvements in self-management behaviors, cost, and glucose levels. None of the themes mentioned changes to practice, research, or policies related to CGM.

Conclusions: To improve diffusion of information and innovations going forward, novel ways of information sharing should be explored, such as diabetes specialist, provider, and researcher engagement in social media and digital storytelling.