scholarly journals Does Diabetes Distress Influence Clinical Response to an mHealth Diabetes Self-Management Education and Support Intervention?

2020 ◽  
Vol 46 (3) ◽  
pp. 289-296
Author(s):  
Taylor L. Clark ◽  
Linda Gallo ◽  
Johanna A. Euyoque ◽  
Athena Philis-Tsimikas ◽  
Addie Fortmann
Keyword(s):  
Usual Care ◽  
Management Education ◽  
Glycosylated Hemoglobin ◽  
Secondary Analysis ◽  
Glucose Monitoring ◽  
Text Messages ◽  
Blood Glucose Monitoring ◽  
Self Management ◽  
Diabetes Distress ◽  
Baseline Levels

Purpose The purpose of this study was to examine whether baseline levels of diabetes distress (DD) impacted clinical benefit from a mobile health (mHealth) diabetes self-management education and support (DSME/S) intervention (“Dulce Digital”). Methods This secondary analysis included the full sample of 126 Hispanic adults (mean age = 48.43 years, SD = 9.80) with type 2 diabetes and glycosylated hemoglobin A1C >7.5% enrolled from a Federally Qualified Health Center in a randomized, nonblinded clinical trial that compared Dulce Digital to usual care. Dulce Digital participants received educational/motivational, medication reminders, and blood glucose monitoring prompt text messages over 6 months. Results Baseline levels of DD prospectively moderated the effect of Dulce Digital (vs usual care) on glycemic control over 6 months, such that Dulce Digital participants with higher DD experienced relatively greater benefit from the intervention. The effect of the intervention on A1C change was 178% larger among individuals experiencing moderate/high versus no/low DD. Conclusions Although research has found DD to be associated with poorer self-management and clinical outcomes, individuals already distressed about their diabetes may benefit from a lower-burden mHealth DSME/S approach.

scholarly journals EFFECTS OF COGNITIVE DECLINE ON DIABETES SELF-MANAGEMENT EDUCATION AND CARE

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S35-S36
Author(s):  
Shinduk Lee ◽  
Matthew L Smith ◽  
Marcia G Ory
Keyword(s):  
Physical Activity ◽  
Blood Glucose ◽  
Cognitive Decline ◽  
Diabetes Care ◽  
Regression Models ◽  
Diabetes Management ◽  
Management Education ◽  
Glucose Monitoring ◽  
Blood Glucose Monitoring ◽  
Self Management

Abstract People with diabetes experience a faster cognitive decline and have a greater risk for future dementia diagnoses. Cognitive impairment can negatively influence diabetes management activities. Diabetes self-management education (DSME) can enhance diabetes control, but limited evidence exists about the differential effects of DSME based on cognitive status. This study examines the moderation effects of cognition on the relationship between participation in DSME and diabetes management among older adults using Georgia 2017 BRFSS data (N=496). Primary outcomes were diabetes self-management (e.g., self-blood glucose monitoring, self-feet check, and physical activity) and clinical care (e.g., seeing a health professional for diabetes and A1C, feet, and eye exams). Multiple logistic regression models examined the effects of DSME and self-reported cognitive decline on diabetes care. Based on the Anderson-and-Newman Framework, all regression models were adjusted for predisposing (age, sex, race, ethnicity, and education), enabling (income, marital status, and health plan), and need (insulin treatment) factors. About 48% of participants participated in a DSME, and about 16% reported experiencing cognitive decline. DSME participation was positively associated with self-blood glucose monitoring (p=0.014), physical activity (p=0.024), seeing a health professional for diabetes (p=0.002), and feet exam (p=0.043), but cognitive decline was not significantly associated with most diabetes care (p>0.05). Further, no significant difference in DSME impact on diabetes care based on reported cognitive decline was observed (p>0.05). Findings suggest that DSME can benefit diabetes care among people with and without cognitive decline. Future research can expand upon impacts of rates and degrees of cognitive decline on program benefits.

2180-PUB: Integration of Continuous Glucose Monitoring in Diabetes Self-Management Education for Type 2 Diabetes Improves Glycemic Control

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 2180-PUB
Author(s):  
ADDIE L. FORTMANN ◽  
ALESSANDRA BASTIAN ◽  
CODY J. LENSING ◽  
SHANE HOVERSTEN ◽  
KIMBERLY LUU ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Glycemic Control ◽  
Continuous Glucose Monitoring ◽  
Management Education ◽  
Glucose Monitoring ◽  
Self Management

scholarly journals Prevalence of Poor Diabetes Self-Management Behaviors among Ethiopian Diabetes Mellitus Patients: A Systematic Review and Meta- Analysis

2020 ◽  
Vol 30 (4) ◽  
Author(s):  
Teshome Tesfaye Habebo ◽  
Ebrahim Jaafari Pooyan ◽  
Ali Mohammad Mosadeghrad ◽  
Getachew Ossabo Babore ◽  
Blen Kassahun Dessu
Keyword(s):  
Quality Assessment ◽  
Addis Ababa ◽  
Meta Analysis ◽  
Glucose Monitoring ◽  
Blood Glucose Monitoring ◽  
Self Management ◽  
Diabetic Patients ◽  
Pooled Prevalence ◽  
Meta Analyses ◽  
Management Behaviors

BACKGROUND: Diabetes has no cure so far, but appropriate self-management contributes to delay or control its progression. However, poor self-management by diabetic patients adds to disease burden. The pooled prevalence of overall, and its main components of poor self-management among Ethiopian diabetic patients remain elusive. Hence, this study aimed to determine the prevalence of poor diabetes self-management behaviors among diabetic patients in Ethiopia.METHOD: by using different combinations of search terms, we accessed articles done until February 15, 2020 through Pubmed, Scopus, Web of Science and Embase databases. Newcastle-Ottawa quality assessment scale was used for quality assessment, and STATA version 14 software along with the random-effects model was employed for statistical analyses. The Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA.) guideline was followed to report the results.RESULT: Twenty-one studies with 7,168 participants were included in this meta-analysis. The overall pooled prevalence of poor self-management behavior among diabetic patients in Ethiopia was 49.79% (95% CI: 43.58%, 56.01%). Based on subgroup analysis, the estimated magnitudes of poor selfmanagement by regions were 68.58% in Tigray, 55.46% in Harari, 54.74%, in Amhara, 40.90%, in SNNPRS and 37.06% in Addis Ababa. The worst (80.91%) and relatively better (24.65%) self-management components were observed on self-blood glucose monitoring and medication adherence, respectively.CONCLUSION: One in two diabetic patients in Ethiopia had poor self-management. Thus, we strongly recommend to the ministry of health and universities to train diabetes health educators, and the health facilities to deliver tailored diabetes health education.

scholarly journals Pengaruh Diabetes Self Management Education and Support (DSME/S) terhadap Diabetes Distress pada Pasien Diabetes Melitus Tipe 2 di RSD dr. Soebandi Jember (The Effect of Diabetes Self Management Education and Support [DSME/S] on Diabetes Distress in Patie

2018 ◽  
Vol 6 (1) ◽  
pp. 133
Author(s):  
Novita Nurkamilah ◽  
Rondhianto Rondhianto ◽  
Nur Widayati
Keyword(s):  
Diabetes Mellitus ◽  
Management Education ◽  
Intervention Group ◽  
Self Care ◽  
T Test ◽  
Self Management ◽  
Diabetes Distress ◽  
Control Group ◽  
Significant Difference

Diabetes Mellitus (DM) is a chronic disease that requires a continous self-care. A low level ofknowledge about self-care can worsen health condition and cause diabetes distress. The continuingstress can cause hyperglycemia that lead to complications of DM. DSME/S is a structured healtheducation that facilitates DM patients in implementing and maintaining their behavior for sustainableself-care. This research aimed to analyze the effect of DSME/S on diabetes distress in patients withtype 2 DM. This research was quasi experimental with non randomized control group pretestposttest design. Thirty respondents in this study were divided into 15 respondents as theintervention group and 15 respondents as the control group by consequtive sampling technique.DSME/S was conducted in 6 sessions: 4 sessions in the hospital and 2 sessions at respondent'shouse. The data were analyzed by using dependent t test and independent t test with significancelevel of 0.05. The result of dependent t test revealed a significant difference of diabetes distressbetween pretest and posttest both in the intervention group (p=0.001) and in the control group(p=0.046). Furthermore, independent t test showed a significant difference between interventiongroup and control group (p=0.001). The decrease of diabetes distress was higher in the interventiongroup than control group. This result indicates that there was a significant effect of DSME/S ondiabetes distress in patients with type 2 DM. Nurses are expected to apply DSME/S as a dischargeplanning to reduce diabetes distress in patients with type 2 DM.Keywords: diabetes distress, DSME/S, Diabetes Mellitus

scholarly journals Early Insights From a Digitally Enhanced Diabetes Self-Management Education and Support Program: Single-Arm Nonrandomized Trial

JMIR Diabetes ◽  
10.2196/25295 ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. e25295
Author(s):  
Folasade Wilson-Anumudu ◽  
Ryan Quan ◽  
Cynthia Castro Sweet ◽  
Christian Cerrada ◽  
Jessie Juusola ◽  
...  
Keyword(s):  
Medication Adherence ◽  
Management Education ◽  
Diabetes Education ◽  
Self Management ◽  
Diabetes Distress ◽  
Digital Format ◽  
Nonrandomized Trial ◽  
Digitally Enhanced ◽  
The Impact

Background Translation of diabetes self-management education and support (DSMES) into a digital format can improve access, but few digital programs have demonstrated outcomes using rigorous evaluation metrics. Objective The aim of this study was to evaluate the impact of a digital DSMES program on hemoglobin A1c (HbA1c) for people with type 2 diabetes. Methods A single-arm, nonrandomized trial was performed to evaluate a digital DSMES program that includes remote monitoring and lifestyle change, in addition to comprehensive diabetes education staffed by a diabetes specialist. A sample of 195 participants were recruited using an online research platform (Achievement Studies, Evidation Health Inc). The primary outcome was change in laboratory-tested HbA1c from baseline to 4 months, and secondary outcomes included change in lipids, diabetes distress, and medication adherence. Results At baseline, participants had a mean HbA1c of 8.9% (SD 1.9) and mean BMI of 37.5 kg/m2 (SD 8.3). The average age was 45.1 years (SD 8.9), 70% were women, and 67% were White. At 4-month follow up, the HbA1c decreased by 0.8% (P<.001, 95% CI –1.1 to –0.5) for the total population and decreased by 1.4% (P<.001, 95% CI –1.8 to –0.9) for those with an HbA1c of >9.0% at baseline. Diabetes distress and medication adherence were also significantly improved between baseline and follow up. Conclusions This study provides early evidence that a digitally enhanced DSMES program improves HbA1c and disease self-management outcomes.

scholarly journals The Impact of a Community Pharmacy Diabetes Self-Management Education Program on Diabetes Distress

2018 ◽  
Vol 35 (1) ◽  
pp. 3-10 ◽  
Author(s):  
Morgan L. Machen ◽  
Hamilton C. Borden ◽  
Kenneth C. Hohmeier
Keyword(s):  
Community Pharmacy ◽  
Management Education ◽  
Information Age ◽  
Retrospective Chart Review ◽  
Self Management ◽  
Diabetes Distress ◽  
Health History ◽  
Scale Scores ◽  
History Of ◽  
The Impact

Background: Negative psychosocial implications stemming from the presence of diabetes, known as diabetes distress, place people with diabetes at twice the likelihood of having clinical depression than those who do not have the disease. While many community pharmacies have incorporated diabetes self-management education (DSME) programs into their practices, there are no known studies that evaluate the impact that this model may have on diabetes distress. Objective: The purpose of this study is to evaluate the impact that a community pharmacy DSME program has on diabetes distress. Methods: Retrospective chart review for pre- and post-DSME Problem Areas in Diabetes scale scores, pertinent health history (type and duration of diabetes, A1C, and medications), and demographic information (age, gender) of patients who completed Blount Discount Pharmacy’s DSME program. Data were analyzed using descriptive and inferential statistics. Results: Of the 17 charts that were reviewed, there was an overall decrease in Problem Areas in Diabetes scale scores from baseline ( P = .029). Greater reduction was observed in patients with a long-standing history of diabetes compared with those who were diagnosed with diabetes within the previous 12 months of DSME. Conclusions: The findings suggest that a community pharmacy DSME program may reduce diabetes distress and warrant future study.

Veterans’ Interpretation of Diabetes Distress in Diabetes Self-Management: Findings From Cognitive Interviews

2021 ◽  
pp. 263501062110434
Author(s):  
Allison A. Lewinski ◽  
Abigail Shapiro ◽  
Hayden B. Bosworth ◽  
Matthew J. Crowley ◽  
Felicia McCant ◽  
...  
Keyword(s):  
Glycosylated Hemoglobin ◽  
Personal Characteristics ◽  
Self Management ◽  
Diabetes Distress ◽  
Cognitive Interviews ◽  
Sources Of Information ◽  
Management Interventions ◽  
Study Team ◽  
Physical Limitations ◽  
Distress Scale

Purpose The purpose of this project was to identify additional facets of diabetes distress (DD) in veterans that may be present due to the veteran’s military-related experience. Methods The study team completed cognitive interviews with veterans with type 2 diabetes mellitus (T2DM) to examine how they answered the Diabetes Distress Scale (DD Scale), a tool that assesses DD. The DD Scale was used because of its strong associations with self-management challenges, physician-related distress, and clinical outcomes. Results The veterans sample (n= 15) was 73% male, mean age of 61 (SD = 8.6), 53% Black, 53% with glycosylated hemoglobin level <9%, and 67% with prescribed insulin. The DD Scale is readily understood by veterans and interpreted. Thematic analysis indicated additional domains affecting DD and T2DM self-management, including access to care, comorbidities, disruptions in routine, fluctuations in emotions and behaviors, interactions with providers, lifelong nature of diabetes, mental health concerns, military as culture, personal characteristics, physical limitations, physical pain, sources of information and support, spirituality, and stigma. Conclusions This study describes how a veteran’s military experience may contribute to DD in the context of T2DM self-management. Findings indicate clinicians and researchers should account for additional domains when developing self-management interventions and discussing self-management behaviors with individuals with T2DM.

Text Messaging to Improve Disease Management in Patients With Painful Diabetic Peripheral Neuropathy

2018 ◽  
Vol 44 (3) ◽  
pp. 237-248 ◽  
Author(s):  
Victoria Bauer ◽  
Nancy Goodman ◽  
Brittany Lapin ◽  
Camille Cooley ◽  
Ed Wang ◽  
...  
Keyword(s):  
Peripheral Neuropathy ◽  
Usual Care ◽  
Health Beliefs ◽  
Diabetic Peripheral Neuropathy ◽  
Text Messaging ◽  
Self Care ◽  
Text Messages ◽  
Self Management ◽  
Painful Diabetic Peripheral Neuropathy ◽  
The Impact

Purpose The purpose of the study was to determine the impact of educational text messages on diabetes self-management activities and outcomes in patients with painful diabetic peripheral neuropathy (pDPN). Methods Patients with pDPN identified from a large integrated health system who agreed to participate were randomized to 6 months of usual care (UC) or UC plus twice-daily diabetes self-management text messages (UC+TxtM). Outcomes included the Pain Numerical Rating Scale, Summary of Diabetes Self-Care Activities (SDSCA), questions on diabetes health beliefs, and glycated hemoglobin (A1C). Changes from baseline were evaluated at 6 months and compared between groups. Results Demographic characteristics were balanced between groups (N = 62; 53% female, mean age = 63 years, 94% type 2 diabetes), as were baseline measures. After 6 months, pain decreased with UC+TxtM from 6.3 to 5.5 and with UC from 6.5 to 6.0, with no difference between groups. UC+TxtM but not UC was associated with significant improvements from baseline on all SDSCA subscales. On diabetes health beliefs, UC+TxtM patients reported significantly increased benefits and reduced barriers and susceptibility relative to UC at 6 months. A1C declined in both groups, but neither change was significant relative to baseline. Conclusions Patients with pDPN who receive twice-daily text messages regarding diabetes management reported reduced pain relative to baseline, although this change was not significant compared with usual care. In addition, text messaging was associated with increased self-management activities and improved diabetes health beliefs and total self-care. These results warrant further investigation.

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