Associations between economic hardship and markers of self-management in adults with type 2 diabetes: results from Diabetes MILES - Australia

A Scoping Review of Possible Solutions for Decreasing Socioeconomic Inequalities in Type 2 Diabetes Mellitus

Background

As socioeconomic inequalities are key factors in access and utilization of type 2 diabetes (T2D) services, the purpose of this scoping review was to identify solutions for decreasing socioeconomic inequalities in T2D.

Methods

A scoping review of scientific articles from 2000 and later was conducted using PubMed, Web of Science (WOS), Scopus, Embase, and ProQuest databases. Using the Arksey and O'Malley framework for scoping review, articles were extracted, meticulously read, and thematically analyzed.

Results

A total of 7204 articles were identified from the reviewed databases. After removing duplicate and nonrelevant articles, 117 articles were finally included and analyzed. A number of solutions and passways were extracted from the final articles. Solutions for decreasing socioeconomic inequalities in T2D were categorized into 12 main solutions and 63 passways.

Conclusions

Applying identified solutions in diabetes policies and interventions would be recommended for decreasing socioeconomic inequalities in T2D. Also, the passways could be addressed as entry points to help better implementation of diabetic policies.

Measures of financial burden for families dealing with serious illness: A systematic review and analysis

BACKGROUND

Many families coping with serious illness report experiencing financial burden, which negatively impacts coping and quality of life. Financial burden, however, is a complex construct that has been inconsistently operationalized in the literature.

AIM

To review the available literature to identify, and describe the properties of, measurement tools or scales used to assess financial burden, including financial stress and strain, for families dealing with serious illness.

DESIGN

A systematic review.

DATA SOURCES

Six databases were searched for articles published between 2006 and 2020. The review included studies in English, that reported empirical data, and used at least one measure of financial burden. To obtain a full copy of measures, an environmental scan was conducted.

RESULTS

A total of 31 measures were included. Only five of the total were designed for patient self-report, 23 of the total were designed for caregiver report. Whereas 11 measures relied on a single-item, 17 were multi-item. The remaining measures provided no information about target population and items. The most popular measures-based on Google Scholar citations-tended to only include one financial burden item. Given the complexity of financial burden, and its subjective and objective aspects, the utility of these single item measures remains questionable. Also, although patients may experience financial burden, there is a lack of patient-reported measures.

CONCLUSION

To measure financial burden, we identified a need to develop and test multi-item measures, measures appropriate for patient populations and greater attention to the temporal aspects of self-report assessments.

Mediators of the association between low socioeconomic status and poor glycemic control among type 2 diabetics in Bangladesh

Although low socioeconomic status (SES) is related to poor glycemic control, the underlying mechanisms remain unclear. We examined potentially modifiable factors involved in the association between low SES and poor glycemic control using data from the baseline survey of a multicenter, prospective cohort study. Five hundred adult type 2 diabetes patients were recruited from three diabetes centers. Glycemic control was poorer in diabetic individuals with low SES than in those with higher SES. Adverse health-related behaviors, such as non-adherence to medication (adjusted odds ratio [AOR] = 1.07, 95% confidence interval [CI] 1.04–1.13) and diet (AOR = 1.04, 95% CI 1.02–1.06); existing comorbidities, such as depressive symptoms (AOR = 1.05, 95% CI 1.04–1.09); and non-adherence to essential health service-related practices concerning diabetes care, such as irregular scheduled clinic visits (AOR = 1.04, 95% CI 1.03–1.06) and not practicing self-monitoring of blood glucose (AOR = 1.05, 95% CI 1.03–1.07), mediated the relationship between social adversity and poor glycemic control specially in urban areas of Bangladesh. Those identified factors provide useful information for developing interventions to mitigate socioeconomic disparities in glycemic control.

State of the art: understanding and integration of the social context in diabetes care

We review the past 25 years of research addressing challenges people living with diabetes experience in their daily lives related to social contexts, i.e. in their family, at work and in society at large, and identify research gaps. We found that young people with diabetes, as they develop through to adulthood, are exposed to considerable risks to their physical and mental health. Family-system interventions have had mixed outcomes. Research in this area would benefit from attention to ethnic/cultural diversity, and involving fathers and other family members. In adults with diabetes, social support relates to better diabetes outcomes. While family member involvement in care is likely to affect health and psychosocial outcomes of the person with diabetes, key elements and mediators of effective family interventions need to be identified. The challenges of diabetes management at work are under-researched; distress and intentional hyperglycaemia are common. When depression is comorbid with diabetes, there are increased work-related risks, e.g. unemployment, sickness absence and reduced income. Research to support people with diabetes at work should involve colleagues and employers to raise awareness and create supportive environments. Stigma and discrimination have been found to be more common than previously acknowledged, affecting self-care, well-being and access to health services. Guidance on stigma-reducing choice of language has been published recently. Resilience, defined as successful adaptation to adversity such as stigma and discrimination, requires studies relevant to the specific challenges of diabetes, whether at diagnosis or subsequently. The importance of the social context for living well with diabetes is now fully recognized, but understanding of many of the challenges, whether at home or work, is still limited, with much work needed to develop successful interventions.

Mobile Health Technology (mDiab) for the Prevention of Type 2 Diabetes: Protocol for a Randomized Controlled Trial

Background

The prevalence of type 2 diabetes is increasing in epidemic proportions in low- and middle-income countries. There is an urgent need for novel methods to tackle the increasing incidence of diabetes. The ubiquity of mobile phone use and access to Internet makes mobile health (mHealth) technology a viable tool to prevent and manage diabetes.

Objective

The objective of this randomized controlled trial is to implement and evaluate the feasibility, cost-effectiveness, and sustainability of a reality television–based lifestyle intervention program. This intervention program is delivered via a mobile phone app (mDiab) to approximately 1500 Android smartphone users who are adults at a high risk for type 2 diabetes from three cities in India, namely, Chennai, Bengaluru, and New Delhi.

Methods

The mDiab intervention would be delivered via a mobile phone app along with weekly coach calls for 12 weeks. Each participant will go through a maintenance phase of 6 to 8 months post intervention. Overall, there would be 3 testing time points in the study: baseline, post intervention, and the end of follow-up. The app will enable individuals to track their weight, physical activity, and diet alongside weekly video lessons on type 2 diabetes prevention.

Results

The study outcomes are weight loss (primary measure of effectiveness); improvement in cardiometabolic risk factors (ie, waist circumference, blood pressure, glucose, insulin, and lipids); and improvement in physical activity, quality of life, and dietary habits. Sustainability will be assessed through focus group discussions.

Conclusions

If successful, mDiab can be used as a model for translational and implementation research in the use of mHealth technology for diabetes prevention and may be further expanded for the prevention of other noncommunicable diseases such as hypertension and cardiovascular diseases.

Trial Registration

Clinical Trials Registry of India CTRI/2015/07/006011 http://ctri.nic.in/Clinicaltrials/pdf_generate.php? trialid=11841 (Archived by WebCite at http://www.webcitation.org/6urCS5kMB)

Understanding the links between resilience and type-2 diabetes self-management: a qualitative study in South Australia

BACKGROUND

Research conducted by Ward, Muller, Tsourtos, et al. (Soc Sci Med 72(7):1140-1148, 2011) has led to the development of the psycho-social interactive model of resilience, which reveals the interaction between individual resilience factors (i.e. coping, confidence and self esteem) and external resilience environments (i.e. employment, supportive family environments and health promoting policies) in facilitating the development of resilience. This present study explored the utility of this model of resilience for understanding how people self-manage type-2 diabetes.

METHODS

Data were collected via 14 semi-structured life-history interviews with women and men living with type-2 diabetes mellitus (T2DM). Participants varied according to socio-demographics (gender, age, education level, income) and were recruited based on their self-reported management (or lack thereof) of T2DM.

RESULTS

The inter-play of internal traits and external resources with additive and subtractive resilience strategies were consistent with the psycho-social interactive model of resilience. Self-management was influenced by life history. Differences in self-management and material disadvantage were also identified. Alongside increased disadvantage are higher levels of external barriers to self-management practices.

CONCLUSIONS

This paper supports the concepts of additive and subtractive resilience strategies for use with diabetes populations; providing health professionals and policy makers with an increased understanding of how to recognize and foster patient resilience for the improvement of self-care, disease management and ultimately health outcomes.

Cohort profiles of the cross-sectional and prospective participant groups in the second Diabetes MILES-Australia (MILES-2) study

PURPOSE

More research into the psychosocial aspects of diabetes is needed so that the health and quality of life of people with the condition can be improved. To fill this gap, we conducted the second Diabetes MILES-Australia study (MILES-2), a survey focused on psychological, behavioural and social aspects of diabetes. The aim of the MILES-2 study was to provide a (1) longitudinal follow-up of the original MILES 2011 study cohort; (2) cross-sectional assessment of a new cohort.

PARTICIPANTS

Eligible participants were English-speaking Australians with type 1 or type 2 diabetes, aged 18-75 years. Longitudinal cohort participants were mailed/emailed study invitations directly by researchers. Random sampling (stratified by diabetes type, insulin use, state) of the National Diabetes Services Scheme (NDSS) database and nationwide advertisements were used to recruit new cohort participants. The final sample included N=2342 eligible respondents (longitudinal cohort: n=504; 2015 new cohort: n=1838); 54% had type 2 diabetes.

FINDINGS TO DATE

Survey respondents were from an advantaged socioeconomic background compared to the general population. Respondents with type 1 diabetes were over-represented in the new cohort (45%) relative to the planned stratification (40% type 1 diabetes, 60% type 2 diabetes). Respondents with insulin-treated type 2 diabetes were under-represented in the new cohort relative to the stratified sampling (42% invited vs 50% response). Participants who completed both the 2011 and 2015 surveys were more likely than those completing the 2011 survey only to have type 1 diabetes, report a higher education and annual income, and live in metropolitan areas. Participant feedback indicated that the survey was perceived as relevant and valuable.

FUTURE PLANS

The depth and breadth of the data available in this large sample will highlight unmet needs and priority areas for future investigation and, crucially, will inform policy, programme and intervention development and evaluation in Australia.

Compliance to self-monitoring of blood glucose among patients with type 2 diabetes mellitus and its influential factors: a real-world cross-sectional study based on the Tencent TDF-I blood glucose monitoring platform

BACKGROUND

To investigate the compliance to self-monitoring of blood glucose (SMBG) among patients with type 2 diabetes mellitus (T2DM) and its influential factors.

METHODS

The real-world SMBG use over 90 days among 415 T2DM patients were recorded by using a blood glucose monitoring platform (TDF-I, Tencent, China). Clinical features including age, sex, duration of diabetes, insulin treatment or not, and use of oral antidiabetic drugs were collected. Poor compliance was defined as the average frequency of weekly SMBG use over 90 days was below the criteria established by the physicians, and otherwise the patients were regarded as with good compliance. Factors affecting the SMBG compliance were analyzed by using independent sample t-test, Mann-Whitney U test, and multivariate logistic regression analysis.

RESULTS

Only 57.6% of patients in the study cohort had good compliance to SMBG. Multivariate logistic regression models showed that only the duration of T2DM and the use of oral antidiabetic agents were independently associated with SMBG compliance; more specifically, patients with longer course of disease had poorer SMBG compliance, and those had used oral antidiabetic agents had poorer SMBG compliance.

CONCLUSIONS

SMBG compliance in T2DM patients needs to be further improved. For patients with a longer course of disease and/or under oral antidiabetic medication, interventions such as patient education should be adopted to increase the SMBG compliance.

Psychosocial Factors in Diabetes and Cardiovascular Risk

Type 2 diabetes is a chronic disease that is increasing in prevalence globally. Cardiovascular disease is a major cause of mortality and morbidity in diabetes, and lifestyle and clinical risk factors do not fully account for the link between the conditions. This article provides an overview of the evidence concerning the role of psychosocial stress factors in diabetes risk, as well as in cardiovascular complications in people with existing diabetes. Several types of psychosocial factors are discussed including depression, other types of emotional distress, exposure to stressful conditions, and personality traits. The potential behavioral and biological pathways linking psychosocial factors to diabetes are presented and implications for patient care are highlighted.

Depression, anxiety and self-care behaviours of young adults with Type 2 diabetes: results from the International Diabetes Management and Impact for Long-term Empowerment and Success (MILES) Study

AIM

Young adults with Type 2 diabetes have higher physical morbidity and mortality than other diabetes sub-groups, but differences in psychosocial outcomes have not yet been investigated. We sought to compare depression and anxiety symptoms and self-care behaviours of young adults with Type 2 diabetes with two matched control groups.

METHODS

Using cross-sectional survey data from the Australian and Dutch Diabetes Management and Impact for Long-term Empowerment and Success (MILES) studies, we matched 93 young adults (aged 18-39 years) with Type 2 diabetes (case group) with: (i) 93 older adults ( ≥ 40 years) with Type 2 diabetes (Type 2 diabetes control group; matched on country, gender, education, diabetes duration and insulin use) and (ii) 93 young adults with Type 1 diabetes (Type 1 diabetes control group; matched on country, gender, age and education). Groups were compared with regard to depression symptoms (nine-item Patient Health Questionnaire), anxiety symptoms (seven-item Generalised Anxiety Disorder questionnaire) and frequency of selected self-care behaviours (single item per behaviour).

RESULTS

Participants in the case group had higher depression scores (Cohen's d = 0.40) and were more likely to have clinically meaningful depressive symptoms (Cramer's V = 0.23) than those in the Type 2 diabetes control group. Participants in the case group had statistically equivalent depression scores to the Type 1 diabetes control group. The groups did not differ in anxiety scores. Those in the case group were less likely than both control groups to take insulin as recommended (Cramer's V = 0.24-0.34), but there were no significant differences between the groups in oral medication-taking. The case group were less likely than the Type 2 diabetes control group to eat healthily (Cramer's V = 0.16), and less likely than the Type 1 diabetes control group to be physically active (Cramer's V = 0.15).

CONCLUSIONS

Our results suggest that Type 2 diabetes is as challenging as Type 1 diabetes for young adults and more so than for older adults. Young adults with Type 2 diabetes may require more intensive psychological and self-care support than their older counterparts.