Do patients with diabetes and low socioeconomic status receive less care and have worse outcomes? A national study

Associations between social determinants of health and diabetes self-care behaviors among insured adult patients

AIMS

This study explored the association between social determinants of health (SDOH) and diabetes care behaviors among individuals with health insurance.

METHODS

Data from 57,206 US residents, representing a population of over 25.58 million adults with health insurance and diagnosed diabetes, were included in this cross-sectional analysis of data from the 2017 Behavioral Risk Factor Surveillance System. Logistic regression models were constructed to evaluate the likelihood of various diabetes care behaviors given the presence of several SDOH (e.g., food insecurity, poverty, housing insecurity, rurality).

RESULTS

Most respondents exercised, ate vegetables, saw a provider for diabetes-related care in the last year, and reported checking their feet and testing their blood sugar daily. Not feeling safe (odds ratio (OR) 1.77, 95 % confidence interval (CI) 1.04, 3.01) was related to never checking blood sugar. Experiencing frequent stress was associated with a lower likelihood of exercise (OR .77, 95% CI 0.60, 0.999) and lower likelihood of checking blood sugar at least once a day (OR 0.73, 95% CI 0.54, 0.99). Food insecurity was associated with lower likelihood of vegetable consumption (OR 0.63, 95 % CI 0.47, 0.85) but a higher likelihood of checking blood sugar (OR 1.80, 95 % CI 1.26, 2.57). Low-income respondents were less likely to exercise (OR 0.72, 95 % CI 0.64, 0.80) or eat vegetables (OR 0.83, 95 % CI 0.75, 0.93) but more likely to check their feet (OR 1.19, 95 % CI 1.04, 1.35) and blood sugar at least once per day (OR 1.15, 95% CI 1.01, 1.31). Those who rent their home were also more likely to check their blood sugar (OR 1.22, 95% CI 1.07, 1.37) but less likely to have eaten vegetables in the last week (OR 0.87, 95% CI 0.78, 0.97). Respondents living in rural areas were more likely to have visited a provider in the last year (OR 1.21 95% CI 1.00, 1.47).

CONCLUSIONS

SDOH can adversely affect diabetes self-care behaviors, providers should assist vulnerable patients by connecting them with community resources and providing individualized care.

Identifying Profiles of Patients With Uncontrolled Type 2 Diabetes Who Would Benefit From Referral to an Endocrinologist

OBJECTIVE

To compare the outcomes of glycemic uncontrolled diabetes mellitus type 2 patients receiving treatment from endocrinologists with those treated by primary care physicians. Additionally, this research aims to identify patient profiles that would benefit from personalized referral-a novel medical approach that aims to match the most suitable specialist for effectively managing patient while considering the patient's profile.

METHODS

This retrospective cohort study uses the Maccabi Healthcare Services diabetes registry to match 508 pairs of glycemic uncontrolled diabetes mellitus type 2 patients treated by endocrinologists (EndoG) and primary care physicians (PcPG). Using a generalized additive model, we analyzed the hemoglobin A1c (HbA1c) trend over 1 year for each group. We employed the odds ratio (OR) from conditional logistic regression to determine the likelihood of favorable outcomes in the EndoG compared to the PcPG, using the entire cohort and subcohort profiles.

RESULTS

The generalized additive model comparison indicated an improvement in HbA1c levels in both groups, with the EndoG outperforming the PcPG. Furthermore, the EndoG group had an OR = 2.27 (95% confidence interval, 1.6 to 3.2) for reducing HbA1c by at least 1% within a year and an OR = 1.68 (95% confidence interval, 1.02 to 2.76) for achieving low-density lipoprotein levels< 100 mg/dl. We identified 96 profiles with positive outcomes, all favoring treatment by endocrinologists.

CONCLUSIONS

EndoG demonstrated superior HbA1c control over time and achieved better outcomes compared to PcPG. The identification of 96 profiles benefiting from endocrinologist referral emphasizes the potential of personalized referral.

Nationwide Prevalence of Diabetes and Prediabetes and Associated Risk Factors Among Iranian Adults: Analysis of Data from PERSIAN Cohort Study

INTRODUCTION

Over the past decades prevalence of diabetes has increased in Iran and other countries. This study aimed to update the prevalence of diabetes and prediabetes in Iran and to determine associated sociodemographic risk factors, as well as diabetes awareness and control.

METHODS

This is a nationally representative cross-sectional survey that included 163,770 Iranian adults aged 35-70 years, from different ethnic backgrounds, between 2014 and 2020. Diabetes was diagnosed at fasting blood sugar of ≥ 6.99 mmol/L (126 mg/dL), or receiving blood glucose-lowering treatment. Multivariable logistic regression was applied to detect determinants associated with prevalence of diabetes and prediabetes, as well as predictors of diabetes awareness and glycemic control.

RESULTS

Sex- and age-standardized prevalence of diabetes and prediabetes was 15.0% (95% CI 12.6-17.3) and 25.4% (18.6-32.1), respectively. Among patients with diabetes, 79.6% (76.2-82.9) were aware of their diabetes. Glycemic control was achieved in 41.2% (37.5-44.8) of patients who received treatment. Older age, obesity, high waist to hip ratio (WHR), and specific ethnic background were associated with a significant risk of diabetes and prediabetes. Higher awareness of diabetes was observed in older patients, married individuals, those with high WHR, and individuals with high wealth score. Moreover, glycemic control was significantly better in women, obese individuals, those with high physical activity, educational attainment, and specific ethnic background.

CONCLUSIONS

The prevalence of diabetes and prediabetes is increasing at an alarming rate in Iranian adults. High proportion of uncontrolled patients require particular initiatives to be integrated in the health care system.

Ethnic, social and multimorbidity disparities in therapeutic inertia: A UK primary care observational study in patients newly diagnosed with type 2 diabetes

AIM

To investigate factors associated with delays in receiving glucose-lowering therapy in patients newly diagnosed with type 2 diabetes mellitus (T2DM), and explore the preferential order and time of intensifications.

MATERIALS AND METHODS

Retrospective cohort study including 120 409 adults with T2DM initiating first- to fourth-line glucose-lowering therapy in primary care between 2000 and 2018, using the UK Clinical Practice Research Datalink linked to Hospital Episode Statistics, Office of National Statistics death registration, and 2007 Index of Multiple Deprivation data. Associations were investigated using time-to-event analysis.

RESULTS

The longest delays to prescription of first-line therapy were observed in older patients, of black or other ethnicities, and with multimorbidity. People from the most deprived areas received earlier first-line treatment than those from the least deprived areas. The majority were treated with metformin (82.4%) as the first-line prescription, sulphonylurea (50.4%) as second-line, dipeptidyl peptidase-4 inhibitor (27.7%) as third-line, and insulin (28.0%) as fourth-line. In the past 5 years, there was an increase in prescriptions of dipeptidyl peptidase-4-inhibitor and sodium-glucose transport protein-2 inhibitor. The median time was 0.5 years for first-line prescription, 4.1 for second-line, 4.6 for third-line and 4.7 for fourth-line. After T2DM diagnosis, 25% of patients developed cardiovascular disease and non-cardiovascular disease complications within a median time of 12-14 years, and received intensification 5-6 years later.

CONCLUSIONS

Within the complex challenges of managing blood glucose levels and risk of additional comorbidities, future health care research and guidelines should focus on overcoming therapeutic inertia particularly at an earlier stage for older patients, from ethnic minorities and with multimorbidities.

Adherence to Antidiabetic Medications among Women with Gestational Diabetes

BACKGROUND

Optimal adherence to prescribed medications in women with gestational diabetes is relevant for perinatal outcomes.

OBJECTIVE

To summarize available information on the prevalence and factors contributing to medication adherence in women with gestational diabetes from the biological and psychosocial perspectives.

METHODS

A literature search on adherence in gestational diabetes was conducted in PubMed/MEDLINE, CINAHL, Scopus, and the Directory of Open Access Journals for studies published on the topic. The Arksey and O'Malley framework for scoping reviews was used to explore and summarize the evidence.

RESULTS

A total of 2395 studies were retrieved of which 13 fully met the eligibility criteria. The studies were reported in Zimbabwe (n = 5), Iran (n = 1), Mexico (n = 1), South India (n = 1), the United States of America (n = 4), and one multinational study covering Australia, Europe, North and South America. The main types of antidiabetic medications used were insulin (n = 6), metformin (n = 4), and glyburide (n = 2). The prevalence of adherence ranged from 35.6% to 97%, with the assessment tool being self-report measures (n = 8). The main factors associated with nonadherence included worsening pregnancy symptoms, side effects of medications, perceived risks, mental health symptoms, poor social support, and socioeconomic status. Recommendations that evolved from the studies to improve adherence included education, counselling, improved support networks, and social interventions, while the main reported interventional study employed continuous education on the impact of adherence on perinatal outcomes.

CONCLUSION

Medication nonadherence in gestational diabetes seems to be influenced by multiple factors with some educational interventions positively impacting adherence behaviours. Thus, future research in women with gestational diabetes could consider interventions from a multifactorial perspective to improve therapeutic outcomes.

Interprofessional value-based health care: Nurse practitioner-dentist model

OBJECTIVES

The United States health system is challenged to improve patient and population health, enhance patients' experience of care, and reduce health care costs. Value-based health care (VBHC) models are proposed to address these issues. Medical health systems are making strides toward VBHC, whereas dental care systems lag behind. The aims of this paper are to a) present study findings of an interprofessional practice model integrating oral health and primary care in a dental practice setting, and b) discuss practice and research implications for advancing VBHC approaches in oral health.

METHODS

A nonexperimental research method was employed to evaluate the Nurse Practitioner-Dentist Model for Primary Care (NPD Model) at the Harvard Dental Center. Pretest/post-test design was used to assess clinical patient outcomes for a convenience cohort of Medicare beneficiaries (n = 31) with a reported diagnosis of hypertension and/or type 2 diabetes. Clinical outcome measures included: blood pressure, weight, body mass index (BMI), and Hemoglobin A1c.

RESULTS

Positive and significant improvements in biometrics (blood pressure, body weight, BMI, HbA1c) were found.

CONCLUSIONS

The NPD Model is an early prototype for interprofessional VBHC in oral health and holds promise for improving patient and population health outcomes. Integration of interprofessional VBHC in oral health is an imperative for achieving the Triple Aim to improve the overall health of our nation.

Factors associated with withdrawal from insulin pump therapy: A large-population-based study

BACKGROUND

Although, number of diabetic patients received insulin pump (IP) therapy is increasing; there are limited data regarding factors associated with IP withdrawal.

METHODS

We conducted a cross-sectional study using data from an Israeli health maintenance organization. All patients, 21 or older, with type 1 (T1DM) or type 2 (T2DM) diabetes, who received IP therapy for a 7-year period were identified. Patients who did not purchase IP maintenance supplies for at least six consecutive months were defined as withdrawn (N = 355). Patients who purchased supplies were defined as adherent (N = 352).

RESULTS

In both T1DM and T2DM patients, withdrawal from IP therapy was positively associated with duration of diabetes longer than 5 years (odds ratio [OR] = 13.26 [CI, 7.16-23.34; P < .001] and OR = 10.92 [CI, 5.64-21.14; P < .001], respectively), nonadherence to dietician follow-up (OR = 5.78 [CI, 3.65-9.14; P < .001] and OR = 3.41 [CI, 1.99-5.85; P < .001], respectively), and poor glycaemic control prior to IP treatment (OR = 4.04 [CI, 2.18-7.48; P < .001] and OR = 4.59 [CI, 2.71-7.81; P < .001], respectively]. Co-morbid neuro-psychiatric disorders were also risk factors for IP withdrawal: diagnosis of depression (OR = 2.22 [CI, 1.16-4.27; P = .017] and Attention Deficit Hyperactivity Disorder (ADHD) OR = 2.45 [CI, 1.003-5.087; P = .043]) among T1DM patients; and diagnosis of depression (OR = 1.85 [CI, 1.05-5.27; P = .046] and dementia OR = 4.03 [CI, 1.03-19.77; P = .048]) among T2DM patients.

CONCLUSION

In our large real-world population-based study, we found that smoking, obesity, poor glycaemic control, and co-morbid neuro-psychiatric disorders were associated with a high rate of withdrawal from IP therapy. Health care providers ought to familiarize themselves with patient characteristics predictive of nonadherence and should intensify patient follow-up when incorporating this new, costly, and challenging technology.

Relationship Between Multiple Measures of Financial Hardship and Glycemic Control in Older Adults With Diabetes

Aim: To examine the relationship between multiple measures of financial hardship and glycemic control in older adults with diabetes. Methods: Using data from Health and Retirement Study (HRS), we investigated four measures of financial hardship: difficulty paying bills, ongoing financial strain, decreasing food intake due to money, and taking less medication due to cost. Using linear regression models, we investigated the relationship between each measure, and a cumulative score of hardships per person, on glycemic control (HbA1c). Results: After adjustment, a significant relationship existed with each increasing number of hardships associated with increasing HbA1c (0.09, [95%CI 0.04, 0.14]). Difficulty paying bills (0.25, [95%CI 0.14, 0.35]) and decreased medication usage due to cost (0.17, [95%CI 0.03, 0.31]) remained significantly associated with HbA1c. Conclusion: In older adults, difficulty paying bills and cost-related medication nonadherence is associated with glycemic control, and every additional financial hardship was associated with an increased HbA1c by nearly 0.1%.

Physical activity in persons with diabetes: its relationship with media use for health information, socioeconomic status and age

Although low socio-economic status (SES) persons with diabetes show low levels of physical activity (PA), there is limited knowledge regarding which media is effective in improving their PA. This study aimed to determine the appropriate media for providing PA-related information to persons with diabetes in low SES compared with those in high SES. The data of 770 persons with diabetes in low or high SES were extracted from Multimedia Audience Research Systems 2013, a nationwide cross-sectional study. The relationships among media use for health information (i.e. magazine, television and Internet use), PA, and high and low SES were examined using regression analysis. Additional analysis was conducted to examine whether the above relationships differ by age, which influences the use of media. The relationships of media use for health information with PA levels varied by SES; while television use was associated with increased PA levels, Internet use was associated with decreased PA levels in older, low SES persons with diabetes. The findings indicated that television can be a useful resource to provide PA-related information to low SES persons with diabetes and suggest the significance of choosing appropriate media to provide PA-related information for them.

Changes in metformin use and other antihyperglycemic therapies after insulin initiation in patients with type 2 diabetes

AIMS

When patients with type 2 diabetes initiate insulin, metformin should be continued while continuation of other antihyperglycemics has unclear benefit. We aimed to identify practice patterns in antihyperglycemic therapy during the insulin transition, and determine factors associated with metformin continuation.

METHODS

We performed a retrospective analysis of the Look AHEAD (Action for Health in Diabetes) trial which randomized overweight/obese adults under ambulatory care for type 2 diabetes to an intensive lifestyle intervention or diabetes support and education. Among the 931 participants who initiated insulin over ten years, we described longitudinal changes in antihyperglycemic medications during the insulin transition, and performed multivariable logistic regression to estimate the association between patient characteristics and metformin continuation.

RESULTS

Before insulin initiation, 81.0% of patients used multiple antihyperglycemics, the most common being metformin, sulfonylureas, and thiazolidinediones. After insulin initiation, metformin was continued in 80.3% of patients; other antihyperglycemics were continued less often, yet 58.0% of patients were treated with multiple non-insulin antihyperglycemics. Metformin continuation was inversely associated with age (fully adjusted (a) OR 0.60 per 10 years [0.42-0.86]), serum creatinine above safety thresholds (aOR 0.09 [0.02-0.36]), lower income (P = 0.025 for trend), taking more medications (aOR 0.92 per medication [0.86-0.98]), and initiating rapid, short, or premixed insulin (aOR 0.59 [0.39-0.89]).

CONCLUSIONS

The vast majority of patients with type 2 diabetes continue metformin after insulin initiation, consistent with guidelines. Other antihyperglycemics are frequently continued along with insulin, and further research is needed to determine which, if any, patients may benefit from this.

Relevant patient characteristics for guiding tailored integrated diabetes primary care: a systematic review

Aim

To identify which patient-related effect modifiers influence the outcomes of integrated care programs for type 2 diabetes in primary care.

Background

Integrated care is a widespread management strategy for the treatment of type 2 diabetes. However, most integrated care programs are not tailored to patients’ needs, preferences and abilities. There is increasing consensus that such a patient-centered approach could improve the management of type 2 diabetes. Thus far, it remains unclear which patient-related effect modifiers should guide such an approach.

Methods

PubMed, CINAHL and EMBASE were searched for empirical studies published after 1998. A systematic literature review was conducted according to the PRISMA guidelines.

Findings

In total, 23 out of 1015 studies were included. A total of 21 studies measured the effects of integrated diabetes care programs on hemoglobin A1c (HbA1c) and three on low-density lipoprotein cholesterol, systolic blood pressure and health-care utilization. In total, 49 patient characteristics were assessed as potential effect modifiers with HbA1c as an outcome, of which 46 were person or health-related and only three were context-related. Younger age, insulin therapy and longer disease duration were associated with higher HbA1c levels in cross-sectional and longitudinal studies. Higher baseline HbA1c was associated with higher HbA1c at follow-up in longitudinal studies. Information on context- and person-related characteristics was limited, but is necessary to help identify the care needs of individual patients and implement an effective integrated type 2 diabetes tailored care program.

Socioeconomic Deprivation, Household Education, and Employment are Associated With Increased Hospital Admissions and Poor Glycemic Control in Children With Type 1 Diabetes Mellitus

BACKGROUND

Socioeconomic deprivation, obesity, and emotional discomfort are important determinants of health inequalities and poor glycemic control in children and young people with type 1 diabetes mellitus (T1D).

OBJECTIVES

The aims of this study were to evaluate the incidence of hospital admissions of T1D children in relation to socioeconomic deprivation, and to determine the effects of social deprivation, body mass index (BMI), and patient-reported emotional well-being on glycemic control.

METHODS

All hospital admissions of T1D patients aged 1-18 years were identified during 2007 and 2012. Admission cause and glycemic control were related to social deprivation, BMI, and psychological, emotional well-being. Indices of Multiple Deprivation (IMD) 2010 were applied to the United Kingdom data. The associations were calculated using the Spearman's rank correlation coefficient.

RESULTS

A significant correlation was found between hospital admission rates and overall deprivation scores (r = -0.18, p = 0.04). Patients living in deprived areas were more likely to selfpresent to the accident and emergency department (r = -0.24, p = 0.02). Poor glycemic control (n = 124) was significantly associated with lower levels of education (r = -0.22, p = 0.02) and unemployment (r = -0.19, p = 0.04). Significance was not reached for level of income (r = -0.16, p = 0.07) and overall deprivation (r = -0.17, p = 0.06). Glycemic control was not found to be associated with BMI, standard deviation scores (SDS), or emotional well-being.

CONCLUSION

Early intervention and education from primary care and specialist diabetes teams within the community in deprived areas may be effective in reducing hospital admissions for diabetes-related problems and improving glycemic control.

Association between education and quality of diabetes care in Switzerland

PURPOSE

Low socioeconomic status is associated with higher prevalence of diabetes, worse outcomes, and worse quality of care. We explored the relationship between education, as a measure of socioeconomic status, and quality of care in the Swiss context.

PATIENTS AND METHODS

Data were drawn from a population-based survey of 519 adults with diabetes during fall 2011 and summer 2012 in a canton of Switzerland. We assessed patients and diabetes characteristics. Eleven indicators of quality of care were considered (six of process and five of outcomes of care). After bivariate analyses, regression analyses adjusted for age, sex, and diabetic complications were performed to assess the relationship between education and quality of care.

RESULTS

Of 11 quality-of-care indicators, three were significantly associated with education: funduscopy (patients with tertiary versus primary education were more likely to get the exam: odds ratio, 1.8; 95% confidence interval [CI], 1.004-3.3) and two indicators of health-related quality of life (patients with tertiary versus primary education reported better health-related quality of life: Audit of Diabetes-Dependent Quality of Life: β=0.6 [95% CI, 0.2-0.97]; SF-12 mean physical component summary score: β=3.6 [95% CI, 0.9-6.4]).

CONCLUSION

Our results suggest the presence of educational inequalities in quality of diabetes care. These findings may help health professionals focus on individuals with increased needs to decrease health inequalities.

"It is not possible for me to have diabetes"-community perceptions on diabetes and its risk factors in Rural Purworejo District, Central Java, Indonesia

Accumulating evidence suggests that negative perceptions towards diabetes can limit the management and prevention of the disease. The negative perceptions towards diabetes are prevalent in many different settings, especially among rural communities. Few qualitative studies have been performed to understand how the community views diabetes and its associated risk factors. This study aimed to explore general community perceptions of diabetes and its risk factors in rural Indonesia. A total of 68 participants were recruited to 12 focus group discussions (FGDs) comprised of different age groups and sexes. The FGDs were conducted in six villages in rural Purworejo District, Central Java, Indonesia, from 2011 to 2012. All FGDs were recorded and transcribed. Qualitative content analysis was performed to describe and analyse how the rural community perceived diabetes and its risk factors. Diabetes was perceived as a visible and scary sugar disease, and the affected individuals themselves were blamed for getting the disease. Recognised as ‘sugar’ or ‘sweet-pee’ disease with terrifying effects, diabetes was believed to be a disease with no cure. The participants seemed to have an unrealistic optimism with regards to the diabetes risk factors. They believed that diabetes would not affect them, only others, and that having family members with diabetes was necessary for one to develop diabetes. Our findings demonstrate that rural communities have negative perceptions about diabetes and at the same time individuals have unrealistic optimism about their own risk factors. Understanding how such communities perceive diabetes and its risk factors is important for planning prevention strategies. Health messages need to be tailored to health-related behaviours and the local culture’s concepts of diseases and risk factors.

Regional primary care team to deliver best-practice diabetes care: a needs-driven health workforce model reflecting a biopsychosocial construct of health

OBJECTIVE

Best-practice diabetes care can reduce the burden of diabetes and associated health care costs. But this requires access to a multidisciplinary team with the right skill mix. We applied a needs-driven evidence-based health workforce model to describe the primary care team required to support best-practice diabetes care, paying particular attention to diverse clinic populations.

RESEARCH DESIGN AND METHODS

Care protocols, by number and duration of consultations, were derived for twenty distinct competencies based on clinical practice guidelines and structured input from a multidisciplinary clinical panel. This was combined with a previously estimated population profile of persons across 26 patient attributes (i.e., type of diabetes, complications, and threats to self-care) to estimate clinician contact hours by competency required to deliver best-practice care in the study region.

RESULTS

A primary care team of 22.1 full-time-equivalent (FTE) positions was needed to deliver best-practice primary care to a catchment of 1,000 persons with diabetes with the attributes of the Australian population. Competencies requiring greatest contact time were psychosocial issues and dietary advice at 3.5 and 3.3 FTE, respectively (1 FTE/~300 persons); home (district) nursing at 3.2 FTE; and diabetes education at 2.8 FTE. The annual cost of delivering care was estimated at just over 2,000 Australian dollars (~2,090 USD) (2012) per person with diabetes.

CONCLUSIONS

A needs-driven approach to primary care service planning identified a wider range of competencies in the diabetes primary and community care team than typically described. Access to psychosocial competences as well as medical management is required if clinical targets are to be met, especially in disadvantaged groups.

Points for improvement: performance measurement for glycemic control in diabetes patients in a safety-net population

BACKGROUND

Diabetes complications account for significant worldwide morbidity and mortality. Improving glycemic control decreases microvascular complications, particularly among patients with the worst control. Current performance measures fail to prioritize such individuals. The categorization of glycemic control within a safety-net clinic population was compared using a common performance measure against one derived from a metric accounting for change in glycated hemoglobin (A1c) over time.

METHODS

Retrospective cohort analysis of all patients in a safety-net primary care clinic population quality registry with confirmed diabetes mellitus who had at least two A1c values between 2007 through 2011. Patients were stratified into five groups' on the basis of maximum and earliest A1c level (< 7%, 7% to < 8%, 8% to < 9%, 9% to < 10%, and > 10%). The change in Alc was assessed over time and compared with standard healthcare effectiveness data and information set (HEDIS) performance measures.

RESULTS

Some 1122 patients were included in the analysis, with mean A1c of 7.9%. There was a modest annual decrease in the average A1c, and > 19% of patients improved by 1% or more during each of the previous three years. For patients who had maximum A1c values > or = 10%, there was a significantly greater reduction in A1c (p < .01), which was not reflected in the standard performance measure.

CONCLUSIONS

It is feasible for safety-net clinics to analyze their patients with diabetes by level of disease control on the basis of change in A1c over time. Patients with the worst glycemic control tend to have the greatest improvement but are often overlooked by conventional performance measures. Improved performance measures should focus on longitudinal diabetes control and emphasize reducing risk of complications among patients at highest risk.

Determinants and consequences of insulin initiation for type 2 diabetes in France: analysis of the National Health and Wellness Survey

BACKGROUND

The aim of the study was to identify the intrinsic patient characteristics and extrinsic environmental factors predicting prescription and use and, more specifically, early initiation (up to 5 years of disease duration) of insulin for type 2 diabetes in France. A secondary objective was to evaluate the impact of insulin therapy on mental and physical quality of life and patient adherence.

METHODS

The data used in this study were derived from the 2008, 2010, and 2011 France National Health and Wellness Survey. This survey is an annual, cross-sectional, self-administered, Internet-based questionnaire among a nationwide representative sample of adults (aged 18 years or older). Of the total of 45,958 persons recruited in France, 1,933 respondents (deduped) were identified as diagnosed with type 2 diabetes. All unique respondents from the three waves, currently using insulin or oral bitherapy or tritherapy at the time of assessment, were included in this analysis.

RESULTS

Early (versus late) initiation of insulin therapy was 9.9 times more likely to be prescribed by an endocrinologist or diabetologist than by a primary care physician (P < 0.0001). Younger age at diagnosis and current smoking habits were significant predictors of early (versus late) insulin initiation (odds ratio [OR] 1.031, 95% confidence interval [CI] 1.005-1.059, P = 0.0196, and OR 2.537, 95% CI 1.165-5.524, P = 0.0191, respectively). Patients with a yearly income ≥€50,000 were less likely to be put on insulin early (P = 0.0399). A link between insulin prescription and complications was shown only in univariate analysis. Mental quality of life was lower in patients on early (versus late) insulin, but only in patients with diabetes-related complications. Insulin users (versus oral bitherapy or tritherapy users) had 3.0 times greater odds of being adherent than uncontrolled oral bitherapy or tritherapy users (OR 2.983, 95% CI 1.37-6.495, P = 0.0059).

CONCLUSION

This study confirms the role of specialists in early initiation of insulin, and the data presented herein reflect the fact that early initiation is more frequent in younger patients, patients with diabetes-related complications, and current smokers, and less frequent in patients with a higher income. Moreover, we observed that being treated with insulin was not associated with deterioration in quality of life, and insulin-treated patients were more often adherent than uncontrolled oral bitherapy or tritherapy users. These data suggest that doctors' concerns about patient adherence and detrimental effects on quality of life should not be a barrier to their decision regarding early initiation of insulin therapy. Due to the nature of this cross-sectional survey (eg, inability to assess treatment flow), further research is needed to confirm its findings.

Poverty increases type 2 diabetes incidence and inequality of care despite universal health coverage

OBJECTIVE

The discrepancy of diabetes incidence and care between socioeconomic statuses has seldom been studied concurrently in nations with universal health coverage. We aimed to delineate whether income disparity is associated with diabetes incidence and inequality of care under a national health insurance (NHI) program in Asia.

RESEARCH DESIGN AND METHODS

From the Taiwan NHI database in 2000, a representative cohort aged ≥20 years and free of diabetes (n = 600,662) were followed up until 2005. We regarded individuals exempt from paying the NHI premium as being poor. Adjusted hazard ratios (HRs) were used to discover any excess risk of diabetes in the poor population. The indicators used to evaluate quality of diabetes care included the proportion of diabetic patients identified through hospitalization, visits to diabetes clinics, and completion of recommended diabetes tests.

RESULTS

The incidence of type 2 diabetes in the poor population was 20.4 per 1,000 person-years (HR, 1.5; 95% CI, 1.3-1.7). Compared with their middle-income counterparts, the adjusted odds ratio (OR) for the poor population incidentally identified as having diabetes through hospitalization was 2.2 (P < 0.001). Poor persons with diabetes were less likely to visit any diabetes clinic (OR, 0.4; P < 0.001). The ORs for the poor population with diabetes to receive tests for glycated hemoglobin, low-density lipoprotein cholesterol, triglycerides, and retinopathy were 0.6 (0.4-0.9), 0.4 (0.2-0.7), 0.5 (0.4-0.8), and 0.4 (0.2-0.9), respectively.

CONCLUSIONS

Poverty is associated not only with higher diabetes incidence but also with inequality of diabetes care in a northeast Asian population, despite universal health coverage.

Rural-urban disparities in the prevalence of diabetes and coronary heart disease

OBJECTIVES

To examine the rural-urban differences in the prevalence of diabetes and coronary heart disease, and the extent to which they are explained by the presence of established risk factors including poverty.

STUDY DESIGN

Cross-sectional study of more than 214,000 respondents using data from the US Centers for Disease Control and Prevention's (CDC's) 2008 Behavioral Risk Factor Surveillance System.

METHODS

Logistic regression models were utilized; prevalence odds ratios with corresponding confidence intervals and P-values are provided.

RESULTS

The crude prevalence rates of diabetes and coronary heart disease were 8.6% (P = 0.001) and 38.8% (P < 0.001) higher among respondents living in rural areas compared with urban areas, respectively. The higher prevalence in rural areas of many of the common risk factors for these conditions, including poverty (P < 0.001), obesity (P < 0.001) and tobacco use (P < 0.001), may contribute to these findings. After controlling for these and other risk factors, the prevalence of diabetes was lower among respondents living in rural areas [prevalence odds ratio (POR) = 0.94, P = 0.032], but the prevalence of coronary heart disease was higher (POR = 1.09, P = 0.011).

CONCLUSIONS

The higher prevalence of diabetes and coronary heart disease in rural populations in the USA presents a formidable public health challenge. It exacerbates many of the pre-existing rural health disparities, including a lack of access to financial resources and primary care providers.

Neighborhood deprivation and inequities in coronary heart disease among patients with diabetes mellitus: a multilevel study of 334,000 patients

We used multilevel models to investigate whether the odds of coronary heart disease (CHD) is higher in patients with diabetes mellitus (DM) living in deprived neighborhoods versus those living in wealthy neighborhoods. The Swedish nationwide prescription register was used to identify 334,000 patients aged 30 years and older with DM. The OR of CHD was significantly higher among patients with DM living in deprived neighborhoods than among patients with DM living in wealthy neighborhoods. These findings are useful for clinicians working in deprived neighborhoods. Future research could focus on how to reduce inequities in CHD among patients with DM.

Variation in HbA1c prescription for patients with diabetes in French general practice: an observational study prior to the implementation of a P4P programme

BACKGROUND

Prior to a large diffusion of a pay-for-performance programme (P4P) in primary care in France, it seemed of particular interest to identify, the doctors not performing optimally who could be the main target of this programme. Based on the example of HbA1c prescription for patients with diabetes, this study examined the impact of general practitioner's (GPs) characteristics on the variation of a P4P indicator for diabetes care, i.e. the percentage of patients undergoing three or four HbA1c tests during one year.

METHODS

We used a large database from the national health insurance fund for salaried workers in Brittany to select a cohort of patients with diabetes who had been attended to by their doctors for 1 year. In all, 2545 GPs attending to 41,453 patients with diabetes were included. A two-level hierarchical logistic model was used to analyse the data.

RESULTS

Thirty-six per cent (SD = 22.3) of patients with diabetes underwent three or four HbA1c tests during the year (the target objective was 65% in a patient list). There was a large variability between GPs, even after adjusting for patient characteristics. Doctors who were female, young, working in a group practice, participating in quality-control groups, and who had a lower patient load prescribed the three or four recommended tests more often.

DISCUSSION

The results indicate a target group of doctors which require attention. There is still room to improve the quality of care for patients with diabetes in general practice, notably by encouraging doctors to train better and practice in groups.

Patient attributes warranting consideration in clinical practice guidelines, health workforce planning and policy

Background

In order for clinical practice guidelines (CPGs) to meet their broad objective of enhancing the quality of care and supporting improved patient outcomes, they must address the needs of diverse patient populations. We set out to explore the patient attributes that are likely to demand a unique approach to the management of chronic disease, and which are crucial if evidence or services planning is to reflect clinic populations. These were incorporated into a new conceptual framework; using diabetes mellitus as an exemplar.

Methods

The patient attributes that informed the framework were identified from CPGs, the diabetes literature, an expert academic panel, and two cross-disciplinary panels; and agreed upon using a modified nominal group technique.

Results

Full consensus was reached on twenty-four attributes. These factors fell into one of three themes: (1) type/stage of disease, (2) morbid events, and (3) factors impacting on capacity to self-care. These three themes were incorporated in a convenient way in the workforce evidence-based (WEB) model.

Conclusions

While biomedical factors are frequently recognised in published clinical practice guidelines, little attention is given to attributes influencing a person's capacity to self-care. Paying explicit attention to predictable threats to effective self-care in clinical practice guidelines, by drawing on the WEB model, may assist in refinements that would address observed disparities in health outcomes across socio-economic groups. The WEB model also provides a framework to inform clinical training, and health services and workforce planning and research; including the assessment of healthcare needs, and the allocation of healthcare resources.

Country of birth, socioeconomic factors, and risk factor control in patients with type 2 diabetes: a Swedish study from 25 primary health-care centres

BACKGROUND

Few large-scale studies have examined the association between sociodemographic factors and the probability of reaching the recommended levels of haemoglobin A1c (HbA(1c)) and blood lipids in patients with type 2 diabetes. The aim was to investigate whether sociodemographic characteristics of patients with type 2 diabetes affected the odds that they would reach recommended levels of blood lipids and HbA(1c).

METHODS

This study included 2912 men and 2136 women, in the age group of 35-74, with diagnosed type 2 diabetes from 25 primary health-care centres in Stockholm, Sweden. National population registers were linked to clinical data from electronic records and logistic regression was used to estimate odds ratios.

RESULTS

Less than half of the men and women with diabetes reached the recommended levels of HbA(1c). Even fewer reached the recommended levels for total cholesterol and low-density lipoprotein cholesterol. The gender differences favoured women, for HbA(1c) and men, for blood lipids. Individuals with the lowest income levels were less likely to reach the recommended level of HbA(1c). Country of birth showed that immigrants from Middle Eastern countries and other countries had lower odds of reaching the recommended levels of HbA(1c).

CONCLUSION

This study confirmed that risk factor control among patients with type 2 diabetes treated in primary health care is inadequate and that sociodemographic factors were associated with metabolic control. Future studies could include new strategies for the control of modifiable risk factors in patients with type 2 diabetes.

Awareness of diabetes risk factors and prevention strategies among a sample of low-income Latinos with no known diagnosis of diabetes

PURPOSE

This study assessed awareness of type 2 diabetes risk and severity, perceived risk factors, knowledge of diabetes prevention strategies, and challenges of and opportunities for prevention among low-income Latinos in Lawrence, Massachusetts.

METHODS

Qualitative research design. Latinos with no known diagnosis of diabetes participated in 4 focus groups, conducted in Spanish, which were recorded and transcribed for systematic analysis.

RESULTS

The sample, (N = 41) was largely female (85%) with a wide age range (22-76 years), most (71%) had an educational level of high school or less, and less than half (46%) were employed. Participants had basic knowledge of diabetes, but gaps were apparent. Many perceived family history of diabetes, poor diet, emotional distress, and stress associated with the United States as risk factors for diabetes. There was little or no awareness of risk associated with Latino ethnicity, gestational diabetes, hypertension, lipid abnormalities, or obesity. Few cited physical activity or weight loss as diabetes prevention strategies. More than half the participants perceived themselves at low risk for diabetes.

CONCLUSIONS

This Latino sample had limited knowledge of diabetes risk factors and lifestyle changes that can prevent or delay diabetes onset. Insights for intervening for diabetes prevention are offered.

Disparities in diabetes care: role of the patient's socio-demographic characteristics

Background

The commitment to promoting equity in health is derived from the notion that all human beings have the right to the best attainable health. However, disparities in health care are well-documented. The objectives were to explore disparities in diabetes prevalence, care and control among diabetic patients. The study was conducted by Maccabi Healthcare Services (MHS), an Israeli HMO (health care plan).

Methods

Retrospective study. The dependent variables were diabetes prevalence, uptake of follow-up examinations, and disease control. The independent variables were socio-economic rank (SER), ethnicity (Arab vs non Arab), supplementary voluntary health insurance (SVHI), and immigration from Former Soviet Union (FSU) countries. Chi Square and Logistic Regression Models were estimated.

Results

We analyzed 74,953 diabetes patients. Diabetes was more prevalent in males, lower SER patients, Arabs, immigrants and owners of SVHI. Optimal follow up was more frequent among females, lower SERs patients, non Arabs, immigrants and SVHI owners. Patients who were female, had higher SERs, non Arabs, immigrants and SVHI owners achieved better control of the disease. The multivariate analysis revealed significant associations between optimal follow up and age, gender (males), SER (Ranks 1-10), Arabs and SVHI (OR 1.02, 0.95, 1.15, 0.85 and 1.31, respectively); poor diabetes control (HbA1C > 9 gr%) was significantly associated with age, gender (males), Arabs, immigrants, SER (Ranks1-10) and SVHI (OR 0.96, 1.26, 1.38, 0.72, 1.37 and 0.57, respectively); significant associations with LDL control (< 100 gr%) were revealed for age, gender (males) and SVHI (OR 1.02, 1.30 and 1.44, respectively).

Conclusion

Disparities in diabetes prevalence, care and control were revealed according to population sub-group. MHS has recently established a comprehensive strategy and action plan, aimed to reduce disparities among members of low socioeconomic rank and Arab ethnicity, sub-groups identified in our study as being at risk for less favorable health outcomes.

Adherence to standards of care by health maintenance organizations in Israel and the USA

BACKGROUND

The health-care systems in the USA and Israel differ in organization, financing and expenditure levels. However, managed care organizations play an important role in both countries, and a comparison of the performance of their community-based health plans could inform policymakers about ways to improve the quality of care.

OBJECTIVE

To compare the adherence to standards of care in Israel and in the USA.

STUDY DESIGN

An observational study comparing trends in performance using data from reports of the National Quality Measures Program in Israel and of the National Committee for Quality Assurance in the USA.

RESULTS

Differences in specifications preclude a comparison between most measures in the two reports. However, the comparison of 11 similar measures in the 2007 reports indicates that performance was higher in the USA by 10 or more percentage points on four measures (flu immunization, medication for asthma, screening for colorectal cancer and monitoring for diabetic nephropathy). Performance was higher in Israel on three measures in patients with diabetes (blood pressure, low-density lipoprotein (LDL) cholesterol and glycemic control), and similar on the remaining four measures. Between 2005 and 2007, quality of care improved in both countries. However, improvement was slower in the USA than in Israel.

CONCLUSIONS

In comparison with the USA, Israel achieves comparable health maintenance organization (HMO) quality on several primary care indicators and more rapid quality improvement, despite its substantially lower level of expenditure. Considering the differences between the two countries in settings and populations, further research is needed to assess the causes, generalizability and policy implications of these findings.

A review of treatment response in type 2 diabetes: assessing the role of patient heterogeneity

The response to treatment for type 2 diabetes typically varies among individuals within a study population. This variation is known as heterogeneity of treatment response. We conducted a comprehensive literature review to identify factors that account for heterogeneity of treatment response in patients treated for type 2 diabetes. Three databases (PubMed, EMBASE and Cochrane Library) were searched for articles published in the last 10 years describing investigations of factors associated with treatment response and outcomes among people with type 2 diabetes receiving pharmacological treatment. Of the 43 articles extracted and summarized, 35 (81%) discussed clinical factors, 31 (72%) described sociodemographic factors and 17 (40%) reported on comorbidity or behavioural factors. Clinical factors identified included baseline glycated hemoglobin A1c or fasting plasma glucose (FPG) levels, insulin response or sensitivity, C-peptide, body composition, adipose tissue proteins, lipid profile, plasma albumin levels and duration of disease or insulin treatment. Other factors identified included age, sex, race, socioeconomic status and comorbidities. This review identified the following research gaps: use of multiple definitions for response, few patient-reported measures and lack of evidence regarding whether factors were associated with treatment response for only specific medications or across pharmacological therapies. Furthermore, identification of factors associated with type 2 diabetes treatment response was generally a secondary objective in the research reviewed. Understanding which patient subgroups are more likely to respond to treatment and identifying factors associated with response may result in targeted treatment decisions and alter the interpretation of efficacy or effectiveness of results. In conclusion, accounting for these factors in clinical trials and when making clinical treatment decisions may improve therapy selection and individual patient outcomes.

The association between deprivation and hospital mortality for admissions to critical care units in England

INTRODUCTION

Few studies have investigated the association between level of social deprivation and acute hospital outcome for admissions to adult general critical care units. It is important to be aware if an association exists because risk prediction models do not adjust for deprivation.

MATERIALS AND METHODS

Deprivation was measured using the Index of Multiple Deprivation (IMD) 2004, developed using 2001 census data in England. Eighty-four thousand four hundred twenty-three admissions to 138 adult general critical care units in England were selected from the Case Mix Programme Database from 1 year before to 1 year after the census date and linked to the IMD using postcodes. Logistic regression analysis was used to investigate a possible association between quintile of IMD and acute hospital mortality.

RESULTS

As deprivation increased, acute hospital mortality also increased (P < .001). This association remained after adjusting for age, sex, acute severity, medial history, source of admission, and reason for admission to critical care (adjusted odds ratio for most vs least deprived quintile, 1.19; 95% confidence interval, 1.10-1.28).

CONCLUSIONS

There is an association between increasing deprivation and increasing risk of mortality for admissions to adult general critical care unit units in England. Further research is required to identify other unmeasured potential confounders (eg, smoking, alcohol consumption) as possible explanations for this association.

An unequal social distribution of peripheral arterial disease and the possible explanations: results from a population-based study

Abstract

A low socioeconomic status (SES) is associated with higher cardiovascular mortality and morbidity. It has remained unclear whether such a social gradient is evident in peripheral artery disease (PAD) because both diseases show different clinical courses. We looked at the association between education and income with PAD within the population of the Heinz Nixdorf Recall Study (HNRS) including 4738 individuals. In both men and women, the ankle–brachial index (ABI) decreased and the prevalence of PAD (ABI < 0.9) increased with decreasing education and income. Looking only at participants without cardiovascular disease, doctor-diagnosed PAD and media calcinosis participants with low (odds ratio 2.58, 95% confidence interval 1.53–4.34) and median education (1.90, 1.27–2.85) had higher odds for suffering from PAD compared to participants with high education. Additional adjustment for classical arteriosclerosis risk factors reduced the strength of the association while the odds ratios remained elevated. Current smoking, diabetes and BMI seem to be the most relevant mediators. Income does not significantly correlate with events when adjustments for all other risk factors are made. In conclusion, our study demonstrates that PAD is more pronounced in men and women with lower socioeconomic status. Diabetes prevention and smoking prevention and cessation programs need to specifically target individuals of lower income and education. According to our findings, prevention of PAD would benefit extraordinarily.

Socioeconomic status and psychological well-being predict cross-time change in glycosylated hemoglobin in older women without diabetes

OBJECTIVE

To investigate whether socioeconomic status and psychological well-being (eudaimonic and hedonic aspects) predicted nondiabetic levels of glycosylated hemoglobin (HbA1c) over time, after adjusting for covariates and baseline level of HbA1c.

METHODS

These questions were investigated with a longitudinal sample (n = 97; age = 61-91 years) of older women without diabetes. Socioeconomic status, well-being, and health behaviors were assessed using self-administered questionnaires. Fasting blood samples for assays of HbA1c were obtained before 7 AM during the respondents' overnight stay at the General Clinical Research Center at the University of Wisconsin-Madison. All measurements were obtained at baseline and 2-year follow-up.

RESULTS

Regression analyses showed that higher income and positive affect predicted lower levels of HbA1c, after controlling for baseline HbA1c and health factors. Additionally, three well-being measures (purpose in life, personal growth, and positive affect) moderated the relationship between income and HbA1c.

CONCLUSION

These results suggest that psychological well-being and socioeconomic status interact in important ways in influencing nondiabetic glucose metabolism.

Effectiveness of Disease Management Programs on Improving Diabetes Care for Individuals in Health-Disparate Areas

In addition to race and ethnicity, specific geographic regions are associated with poorer outcomes of care. Individuals with diabetes experiencing health disparities typically have worse long-term outcomes, such as increased diabetes complications and mortality. Zip code mapping, or geocoding, was utilized in this study to identify regions of the United States with high diabetes prevalence rates and to identify areas with high densities of minority populations. Use of this methodology to examine the effect of disease management on a large, diverse diabetes population revealed greater improvement in clinical testing rates in health disparity zones compared with members living outside of these areas. In particular, significant improvement was achieved by members living in minority zip codes and by members aged 65 years or older. These findings demonstrate that members living in areas of health disparity obtain even greater benefit from diabetes disease management program participation, helping to reduce gaps in care.