The effect of a structured behavioral intervention on poorly controlled diabetes: a randomized controlled trial

Effect of structured individual and combined education on blood glucose regulation in type 2 diabetes mellitus

Although various approaches have been used in diabetes self-management education (DSME) programs, the effect of DSME programs on glycemic control is controversial. This study aimed to compare the effects of structured individual education and combined education on glycemic regulation in type 2 diabetes mellitus (T2DM). This study included T2DM patients who applied to the Ust Kaynarca Diabetes Center between 1 January 2018 and 11 March 2020. All data were retrospectively evaluated from hospital information systems. Patients who received only individual education were defined as the individual education group (IEG), and patients who received both individual and group education were defined as the combined education group (CEG). A total of 496 T2DM patients, with 248 (50.0%) in the IEG and 248 (50.0%) in the CEG, were included in the study. The change in HbA1c (ΔHbA1c) value for the IEG was 1.0% (2.5%), while the ΔHbA1c value for the CEG was 1.9% (2.8%) (P < 0.001). When factors affecting the glycemic control were evaluated, it was determined that the type of education [odds ratio (OR) = 2.295, P < 0.001], gender (OR = 1.799, P = 0.007), presence of hyperlipidemia (OR = 0.559, P = 0.032) and presence of medications added to treatment (OR = 1.558, P = 0.041) were effective on glycemic control. Combined education, in which individual and group education are conducted together, is more effective than individual education in glucose regulation.

Evaluation of Author Instructions for Inclusive Language Guidance in Highly Cited English Language Medical Journals

BACKGROUND

Diversity, equity, and inclusion (DEI) are at the core of publication ethics, and language around DEI has been shown to affect patient outcomes. Inclusive language is an important piece of effective communication and is one way to demonstrate and foster a welcoming, respectful, and accessible environment. Non-inclusive terminology in research may represent implicit bias, which is not typically corrected through introspection; thus, a systematic approach is needed in scientific writing. The prevalence of inclusive language guidance in leading medical journals is currently unknown.

OBJECTIVE

Investigators assess the prevalence and quality of inclusive language guidelines in author instructions in highly cited English language medical journals.

DESIGN

A cross-sectional review of author instructions from a convenience sample of 100 highly cited medical journals was completed in January 2023.

SUBJECTS

Each journal's author instructions were reviewed for presence of inclusive language guidelines for manuscript submissions.

MAIN MEASURES

Guidelines that included specific examples of inclusive language were defined as "strong." Author instructions were also reviewed for the Sex and Gender Equity in Research (SAGER) checklist, and each journal's publisher and impact factor (IF) were recorded.

KEY RESULTS

The 100 journals reviewed had an IF range of 3.0-202.7 with a median IF = 19.5 (IQR 11.95, 38.68), and 28 unique publishers were represented. Inclusive language guidance was provided in 23% of medical journals reviewed. Of those, 20 (86.9%) provided strong guidance. Seven journals also recommended use of the SAGER checklist.

CONCLUSION

Significant gaps still exist in ensuring use of inclusive language in medical journals.

The Influence of Nurse-Led Interventions on Diseases Management in Patients with Diabetes Mellitus: A Narrative Review

The global prevalence of people with diabetes mellitus (PWD) is rapidly increasing. Nurses can provide diabetes care for PWD in several areas. Interventions led by nurses can support PWD for effective management of diabetes, which can positively improve clinical outcomes. Nurse-led diabetes self-management education (DSME) is an effective strategy to manage diabetes mellitus (DM) since it improves self-care practice and knowledge regarding diabetes. PWD often need to stay in hospitals longer, which involves poorer patient satisfaction and clinical outcomes. Nurse-led clinics for DM management are a new strategy to possibly ameliorate the disease management. Diabetes specialist nurses can play an important role in improving diabetes care in inpatient settings. Various studies have revealed that nurses can independently provide care to PWD in collaboration with various other healthcare providers. Studies also demonstrated that the nurse-led education-receiving group showed a significantly reduced level of average glycosylated haemoglobin A1c level. Moreover, nurse-led interventions often result in significant improvements in diabetes knowledge, psychological outcomes, self-management behaviours, and physiological outcomes. The purpose of this literature review was to identify the impact of nurse-led interventions on diabetes management. Moreover, in this review, a number of nursing interventions and the nurses' roles as educators, motivators as well as caregivers in DM management have been extensively discussed. This article also summarises the outcomes that are measured to evaluate the impact of nursing interventions and the strategies to overcome the existing and emerging challenges for nurses in diabetes care.

Continuous glucose monitoring with data sharing in older adults: A qualitative study

AIMS

This study examined the perceptions of the SHARE plus intervention and its effects on communication, collaboration, and involvement in day-to-day diabetes management in older adults with Type 1 diabetes (T1D) and their care partners.

BACKGROUND

The SHARE plus intervention includes continuous glucose monitoring with a data sharing app that allows care partners to view glucose data on a smartphone and receive alerts. People with T1D and their care partners are educated about communication strategies, problem-solving strategies, and action planning when using glucose data sharing.

DESIGN

Qualitative descriptive design.

METHODS

Older adults with T1D wore a continuous glucose monitor for 3 months (n = 10). Care partners (n = 10) used a data-sharing app. The SHARE plus intervention consisted of one 90-min education session. Semi-structured interviews were conducted across 10 dyads (person with diabetes and care partner) following the 12-week study. A qualitative description and a constant comparison approach were used to examine similarities and differences in experiences. Interviews were transcribed, coded, and analysed for common themes. The manuscript adheres to COREQ EQUATOR checklist.

RESULTS

The SHARE plus intervention increased diabetes knowledge across the dyads, improving confidence and helping partners understand how to navigate symptoms and behaviours and when to intervene. Dyads worked together to optimise diabetes management through improved communication, collaboration, and management of disagreements. Although the majority of persons with diabetes and their care partners reported no conflictual communication, disagreements about diabetes management remained in some dyads. The SHARE plus intervention impacted care partners in various ways from a psychological perspective. While live-in-care partners felt peace of mind, care partners living away from persons with diabetes had some increased worry and concern.

CONCLUSION

The SHARE plus intervention results can help guide future development of diabetes dyadic care and education interventions using diabetes technology.

RELEVANCE TO CLINICAL PRACTICE

The SHARE plus intervention is a brief, practical intervention that can help diabetes clinicians improve communication and collaboration among spouses living with older adults with T1D who use continuous glucose monitoring with data sharing.

PATIENT CONTRIBUTION

A person with diabetes was part of the research team and assisted with design of the intervention and subsequent interviews and analysis.

Effect of cognitive behavior therapy (CBT) on lowering of blood glucose levels in gestational diabetes mellitus (GDM) patients: study protocol for a prospective, open-label, randomized controlled trial

BACKGROUND

Gestational diabetes mellitus (GDM) is a common perinatal condition. Convincing evidence has shown that hyperglycemia and other chronic comorbidities of diabetes during the prenatal period increase maternal and fetal risk. Several guidelines have identified lifestyle management as the first-line therapy in GDM patients. To improve the efficacy of lifestyle intervention, cognitive behavior therapy (CBT) is proposed as a solution to improve clinical outcomes. The objective of this trial is to determine the efficacy in treating hyperglycemia of mobile-based CBT interventions in GDM patients, compared with conventional face-to-face interventions.  METHODS: This trial is designed as a prospective randomized controlled trial, which enrolled the patients diagnosed with GDM in First People's Hospital of Kunshan affiliated with Jiangsu University from September 2021 to March 2023 with a 3-month follow-up. The specific randomization method was established and implemented through the central randomization system of EDC clinical trials. The percentage of all blood glucose levels collected within the normal range between the two groups at baseline, during the intervention period, and postpartum infant and maternal outcomes will be measured. Summary statistics for continuous variables will include the number of subjects, mean, median, SD, or the standard error, minimum, and maximum. The chi-square test, t test, and paired-sample t test were used for statistical analysis of differences between groups.

DISCUSSION

This trial investigates the effects of mobile-based CBT intervention on blood glucose levels in GDM patients.

TRIAL REGISTRATION

Chinese Clinical Trial Registry (ChiCTR2100048527) [registered: 2021/07/09].

Improving quality of life and self-care for patients on hemodialysis using cognitive behavioral strategies: A randomized controlled pilot trial

INTRODUCTION

Behavioral-education interventions have the potential to improve quality of life and self-care for patients on hemodialysis (HD) but have not been incorporated into routine clinical practice. The purpose of this pilot study was to determine the feasibility of delivering a simple behavioral-education intervention using cognitive behavioral strategies in patients receiving HD with poor quality of life.

METHODS

In this mixed methods study, HD patients were randomly assigned to the study intervention (8 behavioral-education sessions delivered over 12 weeks) or a control group of dialysis education alone. Kidney disease quality of life (KDQOL)-36 scores, depressive symptoms and self-care behaviors were measured at weeks 0, 8, and 16. Following study completion, participants, social workers, and physicians provided their perspectives about the intervention via qualitative interviews.

FINDINGS

Forty-five participants were randomized. Due, in part, to social worker attrition from the intervention arm, 34 participants (76%) completed at least 1 study session and were included in the analysis. The intervention led to modest, but non-significant, increase in KDQOL-physical component summary scores (+3.1±1.2 points) from week 0 to week 16. There were small, non-significant decreases in interdialytic weight gain and pre-dialysis phosphorus levels in the intervention group. Participants felt that chair-side delivery was practical and efficient, and that content related to the impact of dialysis on daily life was unique and important. Suggestions for adapting the intervention included narrowing its content and its delivery by additional providers that are not necessarily therapy trained.

DISCUSSION

In this pilot study, we were able to deliver a simple behavioral-education intervention to improve both quality of life and self-care. Participants had a positive impression of the intervention, but we did not find significant improvements in quality of life or self-care. We will now adapt our intervention by narrowing its content and by using other providers that are focused solely on delivering the intervention.

The efficacy of cognitive behavioral therapy-based intervention on patients with diabetes: A meta-analysis

AIMS

This meta-analysis aims to update former meta-analyses from randomized controlled trials (RCT) focused on the efficacy of CBT for diabetes.

METHODS

Five databases were searched for RCTs. Primary outcomes were glycated hemoglobin (HbA_1c), fasting blood glucose (FBS), systolic blood pressure (SBP), diastolic blood pressure (DBP), and body mass index (BMI). Secondary outcomes were depression, anxiety and distress symptoms, quality of life, sleep quality.

RESULTS

32 RCTs were included. Results revealed that CBT could reduce HbA_1c: -0.14% (95% CI: -0.25 to -0.02%, P = 0.020); FBS: -15.48 mg/dl (95% CI: -30.16 to -0.81 mg/dl, P = 0.040); DBP: -2.88 mmHg (95% CI: -4.08 to -1.69 mmHg, P < 0.001); depression symptoms: -0.90 (95% CI: -1.22 to -0.57, P < 0.001); anxiety symptoms: -0.28 (95% CI: -0.50 to -0.07, P = 0.009); improve sleep quality: -0.92 (95% CI: -1.77 to -0.07, P = 0.030). Subgroup analysis indicated that CBT has siginificantly reduced HbA_1c when delivered as a group-based and face-to-face method, and psycho-education, behavioral, cognitive, goal-setting, homework assignment strategies were applied as central strategies.

CONCLUSION

CBT was an effective treatment for diabetes patients, significantly reduced their HbA_1c, FBS, DBP, depression and anxiety symptoms, and improved sleep quality.

A Nudge-Inspired AI-Driven Health Platform for Self-Management of Diabetes

Diabetes mellitus is a serious chronic disease that affects the blood sugar levels in individuals, with current predictions estimating that nearly 578 million people will be affected by diabetes by 2030. Patients with type II diabetes usually follow a self-management regime as directed by a clinician to help regulate their blood glucose levels. Today, various technology solutions exist to support self-management; however, these solutions tend to be independently built, with little to no research or clinical grounding, which has resulted in poor uptake. In this paper, we propose, develop, and implement a nudge-inspired artificial intelligence (AI)-driven health platform for self-management of diabetes. The proposed platform has been co-designed with patients and clinicians, using the adapted 4-cycle design science research methodology (A4C-DSRM) model. The platform includes (a) a cross-platform mobile application for patients that incorporates a macronutrient detection algorithm for meal recognition and nudge-inspired meal logger, and (b) a web-based application for the clinician to support the self-management regime of patients. Further, the platform incorporates behavioral intervention techniques stemming from nudge theory that aim to support and encourage a sustained change in patient lifestyle. Application of the platform has been demonstrated through an illustrative case study via two exemplars. Further, a technical evaluation is conducted to understand the performance of the MDA to meet the personalization requirements of patients with type II diabetes.

National Estimates of Mental Health Needs among Adults with Self-Reported Chronic Kidney Disease in the United States

Introduction

Among adults with chronic kidney disease (CKD), comorbid mental illness is associated with poorer health outcomes and can impede access to transplantation. We provide the first US nationally representative estimates of the prevalence of mental illness and mental health (MH) treatment receipt among adults with self-reported CKD.

Methods

Using 2015 to 2019 National Survey on Drug Use and Health (NSDUH) data, we conducted an observational study of 152,069 adults (age ≥22 years) reporting CKD (n = 2544), with no reported chronic conditions (n = 117,235), or reporting hypertension (HTN) or diabetes mellitus (DM) but not CKD (HTN/DM, n = 32,290). We compared prevalence of (past-year) any mental illness, serious mental illness (SMI), MH treatment, and unmet MH care needs across the groups using logistic regression models.

Results

Approximately 26.6% of US adults reporting CKD also had mental illness, including 7.1% with SMI. When adjusting for individual characteristics, adults reporting CKD were 15.4 percentage points (PPs) and 7.3 PPs more likely than adults reporting no chronic conditions or HTN/DM to have any mental illness (P < 0.001) and 5.6 PPs (P < 0.001) and 2.2 PPs (P = 0.01) more likely to have SMI, respectively. Adults reporting CKD were also more likely to receive any MH treatment (21% vs. 12%, 18%, respectively) and to have unmet MH care needs (6% vs. 3%, 5%, respectively).

Conclusion

Mental illness is common among US adults reporting CKD. Enhanced management of MH needs could improve treatment outcomes and quality-of-life downstream.

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.

Psychological interventions to improve self-management of type 1 and type 2 diabetes: a systematic review

BACKGROUND

For people with diabetes mellitus to achieve optimal glycaemic control, motivation to perform self-management is important. The research team wanted to determine whether or not psychological interventions are clinically effective and cost-effective in increasing self-management and improving glycaemic control.

OBJECTIVES

The first objective was to determine the clinical effectiveness of psychological interventions for people with type 1 diabetes mellitus and people with type 2 diabetes mellitus so that they have improved (1) glycated haemoglobin levels, (2) diabetes self-management and (3) quality of life, and fewer depressive symptoms. The second objective was to determine the cost-effectiveness of psychological interventions.

DATA SOURCES

The following databases were accessed (searches took place between 2003 and 2016): MEDLINE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Cochrane Library, PsycINFO, EMBASE, Cochrane Controlled Trials Register, Web of Science, and Dissertation Abstracts International. Diabetes conference abstracts, reference lists of included studies and Clinicaltrials.gov trial registry were also searched.

REVIEW METHODS

Systematic review, aggregate meta-analysis, network meta-analysis, individual patient data meta-analysis and cost-effectiveness modelling were all used. Risk of bias of randomised and non-randomised controlled trials was assessed using the Cochrane Handbook (Higgins JP, Altman DG, Gøtzsche PC, Jüni P, Moher D, Oxman AD, et al. The Cochrane Collaboration's tool for assessing risk of bias in randomised trials. BMJ 2011;343:d5928).

DESIGN

Systematic review, meta-analysis, cost-effectiveness analysis and patient and public consultation were all used.

SETTING

Settings in primary or secondary care were included.

PARTICIPANTS

Adolescents and children with type 1 diabetes mellitus and adults with types 1 and 2 diabetes mellitus were included.

INTERVENTIONS

The interventions used were psychological treatments, including and not restricted to cognitive-behavioural therapy, counselling, family therapy and psychotherapy.

MAIN OUTCOME MEASURES

Glycated haemoglobin levels, self-management behaviours, body mass index, blood pressure levels, depressive symptoms and quality of life were all used as outcome measures.

RESULTS

A total of 96 studies were included in the systematic review (n = 18,659 participants). In random-effects meta-analysis, data on glycated haemoglobin levels were available for seven studies conducted in adults with type 1 diabetes mellitus (n = 851 participants) that demonstrated a pooled mean difference of -0.13 (95% confidence interval -0.33 to 0.07), a non-significant decrease in favour of psychological treatment; 18 studies conducted in adolescents/children with type 1 diabetes mellitus (n = 2583 participants) that demonstrated a pooled mean difference of 0.00 (95% confidence interval -0.18 to 0.18), indicating no change; and 49 studies conducted in adults with type 2 diabetes mellitus (n = 12,009 participants) that demonstrated a pooled mean difference of -0.21 (95% confidence interval -0.31 to -0.10), equivalent to reduction in glycated haemoglobin levels of -0.33% or ≈3.5 mmol/mol. For type 2 diabetes mellitus, there was evidence that psychological interventions improved dietary behaviour and quality of life but not blood pressure, body mass index or depressive symptoms. The results of the network meta-analysis, which considers direct and indirect effects of multiple treatment comparisons, suggest that, for adults with type 1 diabetes mellitus (7 studies; 968 participants), attention control and cognitive-behavioural therapy are clinically effective and cognitive-behavioural therapy is cost-effective. For adults with type 2 diabetes mellitus (49 studies; 12,409 participants), cognitive-behavioural therapy and counselling are effective and cognitive-behavioural therapy is potentially cost-effective. The results of the individual patient data meta-analysis for adolescents/children with type 1 diabetes mellitus (9 studies; 1392 participants) suggest that there were main effects for age and diabetes duration. For adults with type 2 diabetes mellitus (19 studies; 3639 participants), baseline glycated haemoglobin levels moderated treatment outcome.

LIMITATIONS

Aggregate meta-analysis was limited to glycaemic control for type 1 diabetes mellitus. It was not possible to model cost-effectiveness for adolescents/children with type 1 diabetes mellitus and modelling for type 2 diabetes mellitus involved substantial uncertainty. The individual patient data meta-analysis included only 40-50% of studies.

CONCLUSIONS

This review suggests that psychological treatments offer minimal clinical benefit in improving glycated haemoglobin levels for adults with type 2 diabetes mellitus. However, there was no evidence of benefit compared with control interventions in improving glycated haemoglobin levels for people with type 1 diabetes mellitus.

FUTURE WORK

Future work should consider the competency of the interventionists delivering a therapy and psychological approaches that are matched to a person and their life course.

STUDY REGISTRATION

This study is registered as PROSPERO CRD42016033619.

FUNDING

This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 24, No. 28. See the NIHR Journals Library website for further project information.

Patient portal engagement and diabetes management among new portal users in the Veterans Health Administration

OBJECTIVE

The study sought to investigate whether consistent use of the Veterans Health Administration's My HealtheVet (MHV) online patient portal is associated with improvement in diabetes-related physiological measures among new portal users.

MATERIALS AND METHODS

We conducted a retrospective cohort study of new portal users with type 2 diabetes that registered for MHV between 2012 and 2016. We used random-effect linear regression models to examine associations between months of portal use in a year (consistency) and annual means of the physiological measures (hemoglobin A1c [HbA1c], low-density lipoproteins [LDLs], and blood pressure [BP]) in the first 3 years of portal use.

RESULTS

For patients with uncontrolled HbA1c, LDL, or BP at baseline, more months of portal use in a year was associated with greater improvement. Compared with 1 month of use, using the portal 12 months in a year was associated with annual declines in HbA1c of -0.41% (95% confidence interval [CI], -0.46% to -0.36%) and in LDL of -6.25 (95% CI, -7.15 to -5.36) mg/dL. Twelve months of portal use was associated with minimal improvements in BP: systolic BP of -1.01 (95% CI, -1.33 to -0.68) mm Hg and diastolic BP of -0.67 (95% CI, -0.85 to -0.49) mm Hg. All associations were smaller or not present for patients in control of these measures at baseline.

CONCLUSIONS

We found consistent use of the patient portal among new portal users to be associated with modest improvements in mean HbA1c and LDL for patients at increased risk at baseline. For patients with type 2 diabetes, self-management supported by online patient portals may help control HbA1c, LDL, and BP.

Clinically significant depressive symptoms and high diabetes distress in adults with type 1 and type 2 diabetes in Appalachian Ohio

CONTEXT

In rural southeastern Ohio, the prevalence of diabetes is 19.9%, nearly double the national average of 10.5%. Despite the high rate of diabetes, its impact on the region is understudied; one such understudied topic is psychosocial difficulties. People with diabetes experience disproportionately higher rates of major depressive disorder (MDD), clinically significant depressive symptoms, and diabetes distress. Diabetes distress refers to the negative emotional experience of living with diabetes. It reflects an individual's worries, concerns, and fears about living a chronic and progressive disease.

OBJECTIVES

To assess the prevalence of diabetes distress as well as comorbid, clinically significant depressive symptoms and diabetes distress among patients in southeastern Ohio; and to assess impact of depressive symptoms and diabetes distress on A_1C levels, diabetes self care behaviors, and diabetes quality of life (DQOL).

METHODS

In this cross sectional survey study, individuals aged 18 years and older, diagnosed with type 1 (T1D) or type 2 (T2D) diabetes, who were able to read and speak English, and living in southeastern Ohio were invited to participate. Participants completed the Diabetes Distress Scale for T2D or T1D, the Patient Health Questionnaire-9, the Self Care Inventory-Revised, and the DQOL Scale as part of the study survey. Participants completed the survey via an online questionnaire service or mailed packets. Chi square tests determined the comorbidity of clinically significant depressive symptoms and high diabetes distress levels by type of diabetes. Multiple regression models examined the relationships among clinically significant depressive symptoms, diabetes distress scores, A_1C levels, self care behaviors, and DQOL scores. Statistical significance was defined as a p<0.05.

RESULTS

A total of 325 adults participated (mean ± standard deviation [SD] age, 41.6 ± 19.2 years; 131 (40.7%) with T1D; 194 (59.7%) with T2D; mean ± SD A_1C, 7.5 ± 1.6%; mean ± SD duration, 12.4 ± 9.6 years). Of the 325 participants, 70 (21.5%) indicated clinically significant depressive symptoms, with 29 (22.3%) T1D participants and 41 (21.0%) T2D participants reporting clinically significant depressive symptoms. A total of 92 (28.3%) participants reported high diabetes distress (39 (30.5%) T1D participants and 53 (27.5%) T2D participants). Forty-eight participants (15.0%) screened positive for both clinically significant depressive symptoms and high diabetes distress. Regression models showed that higher diabetes distress scores were associated with fewer self care behaviors (T1D, b=-0.268, p=0.030; T2D, b=-0.312, p<0.001) and lower DQOL (T1D, b=0.726, p<0.001; T2D, b=0.501, p<0.001). Further, more depressive symptoms were associated with lower DQOL in participants with T2D (b=0.363, p<0.001). Higher diabetes distress scores were not associated with higher A_1C levels in participants with T1D or T2D; however, increased depressive symptoms were associated with higher A_1C levels in participants with T2D (b=0.390, p<0.001).

CONCLUSIONS

Findings showed that adults in southeastern Ohio experienced high levels of diabetes distress and co-occurring clinically significant depressive symptoms that were within range of data from previous studies. These findings highlight the importance of routine screening for both clinically significant depressive symptoms and diabetes distress. Future longitudinal research is needed to confirm these findings and examine the evolution of these relationships over time.

The buffering effect of social support on diabetes distress and depressive symptoms in adults with Type 1 and Type 2 diabetes

BACKGROUND

Social support may buffer or decrease the negative effects of diabetes distress (DD) and depressive symptoms on diabetes outcomes. We assessed the buffering role of social support in the relationship between DD and self-care and depressive symptoms and self-care in adults with Type 1 (T1D) and Type 2 (T2D) diabetes.

METHODS

Participants completed the Diabetes Distress Scale for T2D or T1D, the Patient Health Questionnaire-9, the Medical Outcomes Study Social Support Survey and the Self-Care Inventory-Revised. We conducted hierarchical multiple regression models using SPSS version 26.0.

RESULTS

A total of 325 adults (median age = 40.5 years, 62.2% women, 86.5% White; 59.7% T2D, A1C = 59 ± 6 mmol/mol or 7.5 ± 1.6%; median duration = 11.0 years) participated. Greater social support buffered the negative effects of DD on self-care (R² Δ = 0.015, p = 0.024) as well as depressive symptoms on self-care (R² Δ = 0.024, p = 0.004) in participants with T1D and T2D. Both regression models recorded medium effect sizes (F²  = 0.220, F²  = 0.234 respectively). Social support subscale analyses showed tangible support (R² Δ = 0.016, p = 0.018) and affectionate support (R² Δ = 0.016, p = 0.020) buffered DD and self-care, and emotional support (R² Δ = 0.015, p = 0.022), tangible support (R² Δ = 0.020, p = 0.009), affectionate support (R² Δ = 0.025, p = 0.004) and positive interaction support (R² Δ = 0.017, p = 0.018) buffered depressive symptoms and self-care.

CONCLUSIONS

Findings suggest that social support buffers the impact of DD and depressive symptoms on self-care in adults with T1D and T2D. Additional research is needed to confirm the buffering role of social support on DD and depressive symptoms. Greater understanding of these interactions may help improve clinical care and outcomes.

Our language matters: Improving communication with and about people with diabetes. A position statement by Diabetes Australia

The words used about diabetes affect the physical and emotional health of people living with diabetes. They also affect how individuals and society view people living with, or at risk of, diabetes. People with diabetes, their families, and people at risk of diabetes, need and deserve communications that are clear and accurate, respectful and inclusive, and free from judgement and bias. The aim of this position statement is to help bring about positive change in the language used about diabetes. It is based on 30+ years of research into the experiences of people with diabetes. Changing thelanguage of diabetes can make a powerful and positive difference to the emotional well-being, self-care and health outcomes of people affected by diabetes. It also affects community and government support for funding diabetes care, prevention and research. Diabetes Australia encourages everyone communicating about diabetes, or about people affected by diabetes, to choose and use their words carefully to support all people affected by diabetes. This position statement is intended as a guide for people working in healthcare, the media, government and policy, academia, industry, as well as employers and the community. It may also be helpful for the family and friends of people with diabetes.

2017 National Standards for Diabetes Self-Management Education and Support

PURPOSE

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

METHODS

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

RESULTS

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

CONCLUSION

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

Effects of cognitive behavioral therapy on sleep disturbances and quality of life among adults with type 2 diabetes mellitus: A randomized controlled trial

BACKGROUND AND AIMS

Cognitive behavioral therapy (CBT) is recommended as the first-line nonpharmacotherapy for sleep complaints. However, there are no studies that tested CBT for improving sleep quality and increasing quality of life (QOL) in patients with type 2 diabetes mellitus (T2DM). Therefore, this study aims to test the effect of CBT on sleep disturbances and QOL in patients with T2DM.

METHODS AND RESULTS

In total, 187 participants with T2DM and comorbid poor sleep quality were included in the analysis with the control group of 93 receiving usual care (UC) only and the intervention group of 94 receiving CBT with aerobic exercise plus UC, The Pittsburgh Sleep Quality Index (PSQI), the Diabetes-Specific Quality of Life Scale (DSQLS) and the glycated hemoglobin (HbA1C) values were collected at baseline, after the 2-month intervention, and 6 months of follow-up. The CBT group had 3.03 points lower PSQI scores (95% confidence interval [CI]: 2.07-4.00, P < 0.001) and 7.92 points lower total DSQLS scores (95% CI: 4.98-10.87, P < 0.001) than the control group after 6-month follow-up. No difference was found in HbAlc between the two groups (t = -0.47, P = 0.64) after 2-month intervention, while the CBT group had 0.89 units lower HbAlc (95% CI: 0.49-1.28, P < 0.001) than the control group after 6-month follow-up.

CONCLUSION

CBT is effective for sleep disturbances and can also improve sleep quality, increase QOL, and decrease glycemic levels in participants with T2DM.

TRIAL REGISTRATION

Chinese Clinical Trials Registration (Practical study of the appropriate technique for improvement of quality of life of the patients with type 2 diabetes in communities: ChiCTR-IOP-16008045).

Effects of Cognitive Behavioral Therapy-Based Intervention on Improving Glycaemic, Psychological, and Physiological Outcomes in Adult Patients With Diabetes Mellitus: A Meta-Analysis of Randomized Controlled Trials

BACKGROUND

Patients with diabetes mellitus (DM) have a high risk of secondary physiological and psychological complications. Some interventions based on cognitive behavioral therapy (CBT) have been used to control glucose levels and improve negative emotions of patients with DM. This study was undertaken to provide an overview of the effectiveness of CBT-based interventions for improving glycaemic control, psychological, and physiological outcomes in adult patients with DM.

METHODS

Randomized controlled trials (RCTs) published in English and Chinese during 2007 and April 2019 were searched through various electronic databases including PubMed, Cochrane Library, Scopus, Embase, ProQuest Dissertations and Theses, and the Chinese databases (WanFang data and China National Knowledge Infrastructure). The primary outcome variables included glycated haemoglobin (HbA1c), fasting plasma glucose (FPG), depression, and anxiety symptoms. The secondary outcomes were weight and cholesterol. Effect sizes were pooled by random-effects modelling using Comprehensive Meta-Analysis software. Physiotherapy Evidence Database tool was used to assess the quality of all included studies.

RESULTS

Twenty-three RCTs comprising 2,619 patients with DM (type 1 and type 2) were included in at least one meta-analysis. The results of the main analysis showed that CBT-based interventions had a better effect on reduced HbA1c (-0.275%, 95% CI: -0.443 to -0.107; p < 0.01) with Hedge's g of 0.466 (95% CI: 0.710 - 0.189), reduced depression symptoms with average reduction of -2.788 (95% CI: -4.450 to -1.207; p < 0.01) and Hedge's g of 0.966 (95% CI: 1.507 - 0.426). Twenty-three RCTs comprising 2,619 patients with DM (type 1 and type 2) were included in this meta-analysis. Several mediators of the effect were found through subgroup analysis for HbA1c and depression symptoms. The interventions emphasising completion homework assignments, stress management, and that used an interpersonal strategy delivered via a group had a better effect on both HbA1c and depression symptoms. In addition, behavioral strategies had a better effect on glycaemic control, and cognitive strategies had a better effect on depression symptoms. There was no difference in the change of FPG, anxiety symptoms, weight, and high-density lipoprotein cholesterol (HDL-C) between CBT-based interventions and the control conditions.

CONCLUSIONS

The findings indicate that CBT-based interventions are effective for improving glycaemic control and depression symptoms in adult patients with type 1 DM (T1DM) or type 2 DM (T2DM) with moderate to large effect size. The results of the subgroup analysis suggest that it is necessary to adopt different types and technical components of CBT according to the population and purpose of the treatment in clinical practice. Due to the high heterogeneity of included studies and other limitations, further study including large number of studies is needed to confirm these results.

2017 National Standards for Diabetes Self-Management Education and Support

PURPOSE

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

METHODS

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

RESULTS

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

CONCLUSION

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

Investigating the feasibility and reliability of the Pictorial Fit-Frail Scale

BACKGROUND

the Pictorial Fit-Frail Scale (PFFS) was designed as a simple and practical approach to the identification of frailty.

OBJECTIVES

To investigate the feasibility and reliability of this visual image-based tool, when used by patients, caregivers and healthcare professionals (HCPs) in clinical settings.

DESIGN

observational study.

SETTING

three outpatient geriatric healthcare settings.

SUBJECTS

patients (n = 132), caregivers (n = 84), clinic nurses (n = 7) and physicians (n = 10).

METHODS

the PFFS was administered to all patients. Where available, HCPs and caregivers completed the scale based on the patients' health. In the geriatric day hospital, the PFFS was completed on admission and administered again within 7-14 days. Time and level of assistance needed to complete the scale were recorded. Intraclass correlation coefficients (ICCs) and 95% confidence intervals (CIs) were used to assess test-retest and inter-rater reliability.

RESULTS

mean time to complete the scale (minutes:seconds ± SD) was 4:30 ± 1:54 for patients, 3:13 ± 1:34 for caregivers, 1:28 ± 0:57 for nurses and 1:32 ± 1:40 for physicians. Most patients were able to complete the scale unassisted (64%). Mean patient PFFS score was 11.1 ± 5.3, mean caregiver score was 13.2 ± 6.3, mean nurse score was 10.7 ± 4.5 and mean physician score was 11.1 ± 5.6; caregiver scores were significantly higher than patient (P < 0.01), nurse (P < 0.001) and physician (P < 0.01) scores. Test-retest reliability was good for patients (ICC = 0.78, [95%CI = 0.67-0.86]) and nurses (ICC = 0.88 [0.80-0.93]). Inter-rater reliability between HCPs was also good (ICC = 0.75 [0.63-0.83]).

CONCLUSION

the PFFS is a feasible and reliable tool for use with patients, caregivers and HCPs in clinical settings. Further research on the validity and responsiveness of the tool is necessary.

Does task delegation to non-physician health professionals improve quality of diabetes care? Results of a scoping review

OBJECTIVE

As a result of unhealthy lifestyles, reduced numbers of healthcare providers are having to deal with an increasing number of diabetes patients. In light of this shortage of physicians and nursing staff, new concepts of care are needed. The aim of this scoping review is to review the literature and examine the effects of task delegation to non-physician health professionals, with a further emphasis on inter-professional care.

RESEARCH DESIGN AND METHODS

Systematic searches were performed using the PubMed, Embase and Google Scholar databases to retrieve papers published between January 1994 and December 2017. Randomised/non-randomised controlled trials and studies with a before/after design that described the delegation of tasks from physicians to non-physicians in diabetes care were included in the search. This review is a subgroup analysis that further assesses all the studies conducted using a team-based approach.

RESULTS

A total of 45 studies with 12,092 patients met the inclusion criteria. Most of the interventions were performed in an outpatient setting with type-2 diabetes mellitus patients. The non-physician healthcare professionals involved in the team were nurses, pharmacists, community health workers and dietitians. Most studies showed significant improvements in glycaemic control and high patient satisfaction, while there were no indications that the task delegation affected quality of life scores.

CONCLUSIONS

The findings of the review suggest that task delegation can provide equivalent glycaemic control and potentially lead to an improvement in the quality of care. However, this review revealed a lack of clinical endpoints, as well as an inconsistency between the biochemical outcome parameters and the patient-centred outcome parameters. Given the vast differences between the individual healthcare systems used around the world, further high-quality research with an emphasis on long-term outcome effects and the expertise of non-physicians is needed.

The effects of an empowerment-based self-management intervention on empowerment level, psychological distress, and quality of life in patients with poorly controlled type 2 diabetes: A randomized controlled trial

BACKGROUND

There is considerable interest in advocating empowerment in diabetes care. Health professionals, however, often fail to realize empowerment in clinical practice, especially in patients with poorly controlled type 2 diabetes.

OBJECTIVES

To evaluate the effectiveness of an empowerment-based intervention on empowerment level, psychological distress, and quality of life among patients with poorly controlled type 2 diabetes.

DESIGN

An analysis of secondary outcomes of a prospective multi-center, randomized, parallel, investigator-blinded controlled trial.

METHODS

A total of 242 adult patients with poorly controlled type 2 diabetes [Hemoglobin A1c (HbA1c)≥ 58 mmol/mol in the recent six months] were randomly allocated to either intervention (n = 121) or attentional control (n = 121) groups. The design of the intervention was based on the Empowerment Process Model. The intervention group received a 6-week empowerment-based transitional care program, with significant emphasis on establishing personally meaningful goals, facilitating collaborative partnership and shared decision-making, resolving life-disease conflicts via situational reflection. Participants in the attentional control group received two general health education classes and post-discharge social calls on top of routine care. Outcomes of interest include empowerment level, diabetes distress, and quality of life. Participants were invited to complete a set of questionnaires before randomization, one-week, and three-month post-intervention. Statistical analyses were performed using the generalized estimating equations based on the intention-to-treat principle.

RESULTS

Comparing with the attention control group, participants in the intervention group showed significant improvements on empowerment level [(β= 0.163; 95% confidence interval (CI): 0.011 to 0.316, p = 0.036) at one-week post-intervention and (β= 0.176; 95% CI: 0.020 to 0.331, p = 0.027) at three-month post-intervention, respectively]. This group of patients also displayed significant reduction in terms of emotional-distress (β= -0.424, 95% CI: -0.798 to -0.049, p = 0.027) and regimen-distress (β= -0.397, 95% CI: -0.702 to -0.091, p = 0.011) at three-month post-intervention and physician-related distress (β= -0.236, 95% CI: -0.466 to -0.006, p = 0.044) at one-week post-intervention. Significant improvement in quality of life (β= 4.151, 95% CI: 1.291, 7.012, p = 0.004) at three-month post-intervention was also observed in the intervention group.

CONCLUSIONS

Findings provide empirical evidence for the values of an empowerment-based intervention program for patients with poorly controlled type 2 diabetes in increasing the empowerment level and perceived quality of life and reducing diabetes distress. Long-term effects of the intervention and its underlying mechanisms need further investigation.

Comparison of the effect of a compact vs a conventional, long-term education program on metabolic control in children and adolescents with type 1 diabetes: A pilot, randomized clinical trial

BACKGROUND

Effective education is considered essential for people with type 1 diabetes mellitus (T1DM) to adhere to a complex and long-term medical regimen and to delay or prevent the onset of diabetes-related complications.

OBJECTIVE

We compared the effect of a compact, cost-effective, education program (CEPT1) vs a long-term program on the metabolic control of children and adolescents with T1DM.

METHODS

Young people aged 8 to 21 years with T1DM were randomized to a short-term (experimental) or an extensive education program (control). The experimental group participated in three sessions of 90 minutes, with one session per week, containing five short videos. The control group attended an extended program delivered through 45-minute PowerPoint lectures, with one class every 3 months. The primary outcome was change in glycated hemoglobin A1c (HbA1c) levels from baseline to endpoint (baseline, 3, 6, 9, and 12 months).

RESULTS

In total, 62 patients were randomized to the experimental (CEPT1) (n = 32) or control (n = 30) groups. Both groups showed comparable improvement in HbA1c levels at the end of 12 months (P = .183). In a per-protocol analysis, the mean HbA1c level reduction was -2.3% (-2.6, -2.0) in the experimental group and - 1.8% (-2.0, -1.5) in the control group (P = .008).

CONCLUSION

CEPT1 was comparable with an extensive education program in reducing HbA1c levels. In a per-protocol analysis, the CEPT1 was more effective than the control program in reducing HbA1c levels. CEPT1 is a simple and cost-effective tool that can equally be used in settings with limited resources and specialized centers.

Self-monitoring of blood glucose as control tool in the different management contexts for Type 2 Diabetes Mellitus. What is its current role in non-insulin users?

Introduction: Self-monitoring blood glucose (SMBG) has been considered a key element in the management of Type 2 Diabetes Mellitus (T2DM). However, its role in glycemic control in non-insulin users has been long discussed.Objective: To conduct a narrative literature review of the benefits of SMBG in non-insulin-treated patients with T2DM.Materials and Methods: A scientific literature search was conducted in the following databases: Pubmed, ScienceDirect, Embase, SciELO, Cochrane and Medline. Relevant articles were selected according to the established criteria. In addition, some studies included in the references of the initially selected articles were added to the review since they were considered relevant for its objective.Results: The following records were included in the review: 14 controlled clinical trials, 13 observational studies, 10 clinical practice guidelines, 7 narrative reviews, 5 meta-analyses, and 1 systematic review.Conclusion: based on the evidence found in this review it is possible to say that the use of SMBG in patients with T2DM is beneficial and that it has a positive impact on non-insulin users in terms of achieving glycemic control and defining therapeutic changes.

The use of conversation maps in the metabolic control of diabetes in Brazilians: a randomized clinical trial

Objective

To evaluate effects of an educative intervention over the self-monitoring of blood glucose (SMBG) at home for metabolic control.

Method

A total of 91 people with diabetes participated, recruited from the home capillary blood glycemia self-monitoring program. Two groups of participants were formed: one group participated in the SMBG program at home and with usual care (control group), while the other group participated in the SMBG at home and with educative intervention (intervention group). In total there were 12 meetings, three for each conversation map in the control of diabetes, during four months in 2011 and 2012. For all the analysis, a significance statistical level of 5% (p ≤ 0.05) was adopted.

Results

Most part of participants were females, married, with an average age of 62.1 years old and schooling from four to seven years of study. In the intervention group, an improvement was observed in the following measures: body mass index, abdominal circumference, diastolic blood pressure, fasting plasma glucose, HDL cholesterol, LDL cholesterol and triglycerides. The control group showed improvement in measures of systolic and diastolic blood pressure, fasting plasma glucose, HDL cholesterol and LDL cholesterol. Moreover, an increase on the values of glycated hemoglobin was observed in both groups.

Conclusion

It was observed that there was not statistical significant improvement of the metabolic control. However, it was possible to confirm that an educative intervention for SMBG at home presented a clinical significance, which in turn, resonates in a special way on the health of participants.

2017 National Standards for Diabetes Self-Management Education and Support

PURPOSE

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

METHODS

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

RESULTS

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

CONCLUSION

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

A protocol for a pilot randomized controlled trial to assess the feasibility and effect of a cognitive behavioral intervention on quality of life for patients on hemodialysis

INTRODUCTION

Poor health-related quality of life (HrQOL) is highly prevalent in patients on hemodialysis (HD), and is associated with increased hospitalizations and mortality. Cognitive behavioral (CB) techniques have improved HrQOL in HD patients but have not been routinely translated into clinical practice. The investigators present the rationale, study design and protocol of a randomized controlled trial to pilot the feasibility and effect of a translatable, behavioral-education intervention using CB techniques to improve poor HrQOL and self-management in hemodialysis patients.

METHODS

Forty-eight HD patients will be randomly assigned to either the study intervention which includes 8-12 behavioral-education sessions with incorporated CB techniques delivered over 12 weeks or a control group of dialysis education without incorporated CB techniques. Subjects will be followed for 16 weeks and the primary outcome, change in kidney disease quality of life (KDQOL)-36 scores, will be measured at 0, 8, and 16 weeks. The study will have 85% power to detect an 8-point change in KDQOL-36 scores. At the end of the study, qualitative data will be gathered through end-of-study focus groups, and semi-structured interviews. These data will be used to refine the intervention and help translate it into clinical practice.

DISCUSSION

There is promising evidence in support of CB-based interventions to improve HrQOL for patients on HD. Despite this, these interventions have not been routinely incorporated into clinical practice. The proposed intervention has the potential to improve both HrQOL and self-management, while also being easily translatable to other HD units.

Younger people with Type 2 diabetes have poorer self-care practices compared with older people: results from the Australian National Diabetes Audit

AIM

This cross-sectional study compares the self-care practices of younger and older people with Type 2 diabetes.

METHODS

Data were analysed from the Australian National Diabetes Audit (ANDA) including 2552 adults with Type 2 diabetes from Australian Diabetes Centres. Pre-specified demographic and clinical variables were obtained. Self-care variables (physical activity, following dietary recommendations, medication adherence and monitoring blood glucose levels) were compared in people ≤ 64 and > 64 years of age.

RESULTS

Mean age (± sd) of participants was 63 ± 13 years overall, 53 ± 9 years for the younger group and 73 ± 6 years for the older group. A greater proportion of younger people had HbA_1c levels > 53 mmol/mol (> 7.0%) (76% vs. 68%), reported difficulty following dietary recommendations (50% vs. 32%) and forgetting medications (37% vs. 22%) compared with older people (all P-values <0.001). A smaller proportion of younger compared with older people reported monitoring their blood glucose levels as often as recommended (60% vs. 70%, P < 0.001). Similar proportions of people aged ≤ 64 and > 64 years required insulin therapy (59% vs. 57%, P = 0.200). Younger age was associated with a twofold increase in the odds of not following the recommended self-care practices after adjustment for gender, smoking, insulin therapy, depression and allied health attendance (all P < 0.001).

CONCLUSIONS

Despite shorter diabetes duration, younger age was associated with worse glycaemic control and poorer diabetes self-care practices among people with Type 2 diabetes. Targeted strategies are required to optimize diabetes self-care practices and thereby glycaemic control.

The impact of high and low-intensity exercise in adolescents with movement impairment

Five to six percent of young people have movement impairment (MI) associated with reduced exercise tolerance and physical activity levels which persist into adulthood. To better understand the exercise experience in MI, we determined the physiological and perceptual responses during and following a bout of exercise performed at different intensities typically experienced during sport in youth with MI. Thirty-eight adolescents (11-18 years) categorised on the Bruininks-Oseretsky Test of Motor Proficiency-2 Short-Form performed a peak oxygen uptake bike test ([Formula: see text]) test at visit 1 (V1). At visits 2 (V2) and 3 (V3), participants were randomly assigned to both low-intensity (LI) 30min exercise at 50% peak power output (PPO50%) and high-intensity (HI) 30s cycling at PPO100%, interspersed with 30s rest, for 30min protocol (matched for total work). Heart rate (HR) and rating of perceived exertion (RPE) for legs, breathing and overall was measured before, during and at 1, 3 and 7-min post-exercise (P1, P3, P7). There was a significant difference in [Formula: see text] between groups (MI:31.5±9.2 vs. NMI:40.0±9.5ml⋅kg-1⋅min-1, p<0.05). PPO was significantly lower in MI group (MI:157±61 vs. NMI:216±57 W)(p<0.05). HRavg during HI-cycling was reduced in MI (140±18 vs. 157±14bpm, p<0.05), but not LI (133±18 vs. 143±17bpm, p>0.05). Both groups experienced similar RPE for breathing and overall (MI:7.0±3.0 vs. NMI:6.0±2.0, p>0.05) at both intensities, but reported higher legs RPE towards the end (p<0.01). Significant differences were found in HRrecovery at P1 post-HI (MI:128±25.9 vs. NMI:154±20.2, p<0.05) but not for legs RPE. Perceived fatigue appears to limit exercise in youth with MI in both high and low-intensity exercise types. Our findings suggest interventions reducing perceived fatigue during exercise may improve exercise tolerance and positively impact on engagement in physical activities.

Diabetes structured self-management education programmes: a narrative review and current innovations

Both type 1 and type 2 diabetes are associated with long-term complications that can be prevented or delayed by intensive glycaemic management. People who are empowered and skilled to self-manage their diabetes have improved health outcomes. Over the past 20 years, diabetes self-management education programmes have been shown to be efficacious and cost-effective in promotion and facilitation of self-management, with improvements in patients' knowledge, skills, and motivation leading to improved biomedical, behavioural, and psychosocial outcomes. Diabetes self-management education programmes, developed robustly with an evidence-based structured curriculum, vary in their method of delivery, content, and use of technology, person-centred philosophy, and specific aims. They are delivered by trained educators, and monitored for quality by independent assessors and routine audit. Self-management education should be tailored to specific populations, taking into consideration the type of diabetes, and ethnic, social, cognitive, literacy, and cultural factors. Ways to improve access to and uptake of diabetes self-management programmes are needed globally.

Understanding the Meaning of Food in People With Type 2 Diabetes Living in Northern Appalachia

PURPOSE

Food and eating convey memories and feelings and serve important functions in creating and maintaining relationships. Given the increasing rate of diabetes in the United States, research understanding the meaning of food may shed light on how patients negotiate everyday food choices while managing type 2 diabetes. The purpose of this qualitative study was to explore the meaning of food among adults with type 2 diabetes living in Northern Appalachia.

METHODS

In-depth, face-to-face interviews were conducted with type 2 diabetes patients. Interviews were coded and analyzed via thematic analysis.

RESULTS

Nineteen adults with type 2 diabetes (mean age 68.7 ± 10.6 years, mean A1C 7.4 ± 1.4%, mean diabetes duration 10.9 ± 11.9 years, 52.6% female, 100% white) participated in the study. Qualitative analysis revealed three themes: 1) "Sustaining Life:" Food and the Demands of Diabetes Management, in which participants described the role of food as operational and said that eating was dictated by time rather than hunger or pleasure; 2) "Diabetes Feels Like a Yield Sign:" Diabetes Changes Perceptions of Food, Enjoyment, and Social Relationships, in which most participants described a negative or ambivalent relationship with food after their diabetes diagnosis; and 3) "Food is Everywhere; It's Seducing:" Struggling With Diabetes Management in a Fast-Food Culture, in which participants discussed how the American fast-food culture was in direct conflict with the demands of diabetes and described how they struggled to follow a healthful diet in a culture that advertised the opposite in many venues.

CONCLUSION

Adults with diabetes may benefit from education that addresses both the personal and sociocultural factors that guide food choices.

2017 National Standards for Diabetes Self-Management Education and Support

Purpose

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

Methods

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

Results

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

Conclusion

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

The Use of Language in Diabetes Care and Education

Language is powerful and can have a strong impact on perceptions as well as behavior. A task force, consisting of representatives from the American Association of Diabetes Educators (AADE) and the American Diabetes Association (ADA), convened to discuss language in diabetes care and education. This document represents the expert opinion of the task force. The literature supports the need for a language movement in diabetes care and education. There are effective ways of communicating about diabetes. This article provides recommendations for language used by health care professionals and others when discussing diabetes through spoken or written words-whether directed to people with diabetes, colleagues, or the general public, as well as research questions related to language and diabetes.

2017 National Standards for Diabetes Self-Management Education and Support

This article was copublished in Diabetes Care 2017;40:1409-1419 and The Diabetes Educator 2017;43:449-464 and is reprinted with permission. The previous version of this article, also copublished in Diabetes Care and The Diabetes Educator, can be found at Diabetes Care 2012;35:2393-2401 (https://doi.org/10.2337/dc12-1707).

The Use of Language in Diabetes Care and Education

Language is powerful and can have a strong impact on perceptions as well as behavior. A task force, consisting of representatives from the American Association of Diabetes Educators and the American Diabetes Association, convened to discuss language in diabetes care and education. The literature supports the need for a language movement in diabetes care and education. There are effective ways of communicating about diabetes. This article provides recommendations for language used by health care professionals and others when discussing diabetes through spoken or written words, whether directed to people with diabetes, colleagues, or the general public, as well as research questions related to language and diabetes.

Implementation of collaborative goal setting for diabetes in community primary care

Collaborative goal setting (CGS) is a cornerstone of diabetes self-management support, but little is known about its feasibility and effectiveness during routine care. The aim of this study was to evaluate the implementation of an existing CGS intervention when integrated by primary care staff. Using a mixed-methods approach guided by the RE-AIM framework, intervention adoption, implementation, reach, and effectiveness were evaluated over 12 months. Three of four sites adopted the CGS intervention, in which 521 patients with type 2 diabetes (9-29 % of those targeted) received CGS. For those with suboptimal glycemic control (A1C ≥ 7.5 %), %A1C decreased by 1.1 for those receiving CGS (n = 204, p < 0.001) compared to 0.4 for a group who did not (n = 41, p = 0.23). Practice characteristics influenced adoption and implementation, while isolation of CGS from the remainder of clinical care likely influenced reach and effectiveness. CGS may benefit patients with diabetes, but a lack of integration by practice staff is a key barrier to overcome during implementation.

Psychological interventions for diabetes-related distress in adults with type 2 diabetes mellitus

BACKGROUND

Many adults with type 2 diabetes mellitus (T2DM) experience a psychosocial burden and mental health problems associated with the disease. Diabetes-related distress (DRD) has distinct effects on self-care behaviours and disease control. Improving DRD in adults with T2DM could enhance psychological well-being, health-related quality of life, self-care abilities and disease control, also reducing depressive symptoms.

OBJECTIVES

To assess the effects of psychological interventions for diabetes-related distress in adults with T2DM.

SEARCH METHODS

We searched the Cochrane Library, MEDLINE, Embase, PsycINFO, CINAHL, BASE, WHO ICTRP Search Portal and ClinicalTrials.gov. The date of the last search was December 2014 for BASE and 21 September 2016 for all other databases.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) on the effects of psychological interventions for DRD in adults (18 years and older) with T2DM. We included trials if they compared different psychological interventions or compared a psychological intervention with usual care. Primary outcomes were DRD, health-related quality of life (HRQoL) and adverse events. Secondary outcomes were self-efficacy, glycosylated haemoglobin A1c (HbA1c), blood pressure, diabetes-related complications, all-cause mortality and socioeconomic effects.

DATA COLLECTION AND ANALYSIS

Two review authors independently identified publications for inclusion and extracted data. We classified interventions according to their focus on emotion, cognition or emotion-cognition. We performed random-effects meta-analyses to compute overall estimates.

MAIN RESULTS

We identified 30 RCTs with 9177 participants. Sixteen trials were parallel two-arm RCTs, and seven were three-arm parallel trials. There were also seven cluster-randomised trials: two had four arms, and the remaining five had two arms. The median duration of the intervention was six months (range 1 week to 24 months), and the median follow-up period was 12 months (range 0 to 12 months). The trials included a wide spectrum of interventions and were both individual- and group-based.A meta-analysis of all psychological interventions combined versus usual care showed no firm effect on DRD (standardised mean difference (SMD) -0.07; 95% CI -0.16 to 0.03; P = 0.17; 3315 participants; 12 trials; low-quality evidence), HRQoL (SMD 0.01; 95% CI -0.09 to 0.11; P = 0.87; 1932 participants; 5 trials; low-quality evidence), all-cause mortality (11 per 1000 versus 11 per 1000; risk ratio (RR) 1.01; 95% CI 0.17 to 6.03; P = 0.99; 1376 participants; 3 trials; low-quality evidence) or adverse events (17 per 1000 versus 41 per 1000; RR 2.40; 95% CI 0.78 to 7.39; P = 0.13; 438 participants; 3 trials; low-quality evidence). We saw small beneficial effects on self-efficacy and HbA1c at medium-term follow-up (6 to 12 months): on self-efficacy the SMD was 0.15 (95% CI 0.00 to 0.30; P = 0.05; 2675 participants; 6 trials; low-quality evidence) in favour of psychological interventions; on HbA1c there was a mean difference (MD) of -0.14% (95% CI -0.27 to 0.00; P = 0.05; 3165 participants; 11 trials; low-quality evidence) in favour of psychological interventions. Our included trials did not report diabetes-related complications or socioeconomic effects.Many trials were small and were at high risk of bias for incomplete outcome data as well as possible performance and detection biases in the subjective questionnaire-based outcomes assessment, and some appeared to be at risk of selective reporting. There are four trials awaiting further classification. These are parallel RCTs with cognition-focused and emotion-cognition focused interventions. There are another 18 ongoing trials, likely focusing on emotion-cognition or cognition, assessing interventions such as diabetes self-management support, telephone-based cognitive behavioural therapy, stress management and a web application for problem solving in diabetes management. Most of these trials have a community setting and are based in the USA.

AUTHORS' CONCLUSIONS

Low-quality evidence showed that none of the psychological interventions would improve DRD more than usual care. Low-quality evidence is available for improved self-efficacy and HbA1c after psychological interventions. This means that we are uncertain about the effects of psychological interventions on these outcomes. However, psychological interventions probably have no substantial adverse events compared to usual care. More high-quality research with emotion-focused programmes, in non-US and non-European settings and in low- and middle-income countries, is needed.

2017 National Standards for Diabetes Self-Management Education and Support

Purpose The purpose of this study is to review the literature for Diabetes Self-Management Education and Support (DSMES) to ensure the National Standards for DSMES (Standards) align with current evidence-based practices and utilization trends. Methods The 10 Standards were divided among 20 interdisciplinary workgroup members. Members searched the current research for diabetes education and support, behavioral health, clinical, health care environment, technical, reimbursement, and business practice for the strongest evidence that guided the Standards revision. Results Diabetes Self-Management Education and Support facilitates the knowledge, skills, and ability necessary for diabetes self-care as well as activities that assist a person in implementing and sustaining the behaviors needed to manage their condition on an ongoing basis. The evidence indicates that health care providers and people affected by diabetes are embracing technology, and this is having a positive impact of DSMES access, utilization, and outcomes. Conclusion Quality DSMES continues to be a critical element of care for all people with diabetes. The DSMES services must be individualized and guided by the concerns, preferences, and needs of the person affected by diabetes. Even with the abundance of evidence supporting the benefits of DSMES, it continues to be underutilized, but as with other health care services, technology is changing the way DSMES is delivered and utilized with positive outcomes.

Effects of a lifestyle education program on glycemic control among patients with diabetes at Kigali University Hospital, Rwanda: A randomized controlled trial

AIM

Evidence to show whether lifestyle intervention programs are beneficial for patients with diabetes in resource-limited countries is lacking. The present study assessed the additional efficacy of a structured lifestyle education program, as compared to the current standard of diabetic care in Rwanda.

METHODS

251 consecutive adult patients attending a tertiary diabetic care practice were randomly assigned to either an intervention group (standard of care plus monthly lifestyle group education sessions of 45min duration) or to a control group. The primary outcome was between-groups difference in glycated hemoglobin (HbA1c) observed after 12-months follow up. Outcome measures in the intervention and control groups were compared using the ANCOVA test with a two-sided significance of 5%.

RESULTS

Of the 251 subjects recruited, 223 were included in the analysis; of whom 115 were assigned to the intervention group, and 108 to the control group. After 12-months, the median HbA1c levels reduced by 1.70 (95% CI: -2.09 to -1.31; p<0.001) in the intervention group; and by 0.52 (95% CI: -0.95 to -0.10; p=0.01) in the control group. The difference in HbA1c reduction between the intervention and control groups was statistically significant (p<0.001) after adjustment for subjects' age, sex, education level, BMI, diabetes duration and diabetic medications.

CONCLUSIONS

This study demonstrated that a structured lifestyle group education program for people with diabetes is an attractive option in a resource-limited setting, as it showed significant benefits in improved glycemic control over a 12-month period.

TRIAL REGISTRATION

ClinicalTrials.gov: NCT02032108.

Effectiveness of cognitive-behavioural therapy on glycaemic control and psychological outcomes in adults with diabetes mellitus: a systematic review and meta-analysis of randomized controlled trials

AIM

Diabetes is a chronic progressive condition presenting physical, social and psychological challenges that increase the risk of comorbid mental health problems. Cognitive-behavioural therapy (CBT) is effective in treating a variety of psychological disorders, and may potentially improve glycaemic control and psychological outcomes in diabetes. This systematic review and meta-analysis aims to establish the effectiveness of CBT on glycaemic control and comorbid diabetes-related distress, depression, anxiety and quality of life in the short, medium and longer term among adults with diabetes.

METHOD

An electronic search was conducted in PubMed, Embase, MEDLINE, PsycINFO, CINAHL, Web of Knowledge, Cochrane Central Register of Controlled Trials and references in reviews. Twelve randomized controlled trials (RCTs) were identified that evaluated the effectiveness of CBT on at least one of: glycaemic control, diabetes-related distress, anxiety, depression or quality of life in adults with Type 1 or Type 2 diabetes. The Cochrane Risk of Bias Tool and Review Manager version 5.3 were used for risk of bias assessment and meta-analysis, respectively.

RESULTS

CBT is effective in reducing short-term and medium-term glycaemic control, although no significant effect was found for long-term glycaemic control. CBT improved short- and medium-term anxiety and depression, and long-term depression. Mixed results were found for diabetes-related distress and quality of life.

CONCLUSION

CBT is beneficial in improving depression for adults with diabetes. It may have benefits for improving glycaemic control and other aspects of psychological health, although the findings are inconclusive.

Depression in Chronic Kidney Disease and End-Stage Renal Disease: Similarities and Differences in Diagnosis, Epidemiology, and Management

Depression is highly prevalent and is associated with poor quality of life and increased mortality among adults with chronic kidney disease (CKD), including those with end-stage renal disease (ESRD). However, there are several important differences in the diagnosis, epidemiology, and management of depression between patients with non-dialysis-dependent CKD and ESRD. Understanding these differences may lead to a better understanding of depression in these 2 distinct populations. First, diagnosing depression using self-reported questionnaires may be less accurate in patients with ESRD compared with CKD. Second, although the prevalence of interview-based depression is approximately 20% in both groups, the risk factors for depression may vary. Third, potential mechanisms of depression might also differ in CKD versus ESRD. Finally, considerations regarding the type and dose of antidepressant medications vary between CKD and ESRD. Future studies should further examine the mechanisms of depression in both groups, and test interventions to prevent and treat depression in these populations.