Predictors of glycemic control in insulin-using adults with type 2 diabetes

Diabetes self-efficacy strongly influences actual control of diabetes in patients attending a tertiary hospital in India

A cross-sectional survey of 507 in- and out-patients, with diagnosed Type 2 diabetes mellitus (T2DM) was undertaken to study the relationships between personal, disease and treatment-related factors and diabetes control in a tertiary care hospital. On multivariate logistic regression analysis, self-efficacy (odds ratio (OR) =2.94; 95% confidence interval (CI) =1.92-4.54); P<0.001) was the single most important determinant of current diabetes control (HbA1c ≤7%), along with absence of hyperglycemic symptoms in the past year (OR=1.83; 95% CI=1.15-2.93, P<0.01), current treatment with oral medication (OR=1.77; 95% CI=1.17-2.66; P<0.007), and adherence to dietary restrictions (OR=2.7; 95% CI=1.28-5.88; P<0.009). Self-efficacy was itself influenced by educational status, employment, availability of family support, and positive mental attitudes. Our findings suggest that health care delivery inputs, patients' personal characteristics including education and attitude, and family support for care are complexly processed to determine patients' ability to manage their disease, which ultimately influences disease outcomes.

Improvement of primary health care of patients with poorly regulated diabetes mellitus type 2 using shared decision-making--the DEBATE trial

BACKGROUND

Since 2004, a national Disease Management Program (DMP) has been implemented in Germany, which includes educational measures aimed at patients with type-2 diabetes (T2D). However, about 15-20% of T2D patients remain in poor metabolic control. Qualitative research shows that one reason for this might be an increasing frustration of general practitioners (GPs) with the management of their poorly regulated T2D patients over time. We aim at approaching this problem by improving the GP-patient-communication and fostering shared decision-making.

METHODS/DESIGN

An educative intervention will be tested within a multi-centred cluster-randomized controlled trial (RCT) in Germany. We include 20 GPs in three regions. Each of the 60 GPs will recruit about 13 patients meeting the inclusion criteria (total of 780 patients). GPs allocated to the intervention group will receive a peer-visit from a specifically trained GP-colleague who will motivate them to apply patient-centred communication techniques including patient-centred decision aids. GPs allocated to the control group will not take part in any intervention program, but will provide care as usual to their patients. The primary inclusion criterion for patients at the time of the recruitment is an HbA1c-level of over 8.0. Primary outcome is the change of HbA1c at 6, 12, 18, and 24 months compared to HbA1c at baseline. Secondary outcomes include patient's participation in the process of shared decision-making and quality of life.

DISCUSSION

If this intervention proves to be effective it may be integrated into the existing Disease Management Program for T2D in Germany.

Vulnerability to stress, anxiety and depressive symptoms and metabolic control in type 2 diabetes

Background

Vulnerability to stress has been associated to distress, emotional distress symptoms and metabolic control in type 2 diabetes mellitus (T2DM) patients as well. Furthermore some conflicting results were noticed. We aimed to evaluate the effect over metabolic control in what concerns vulnerability to stress beyond depressive and anxiety symptoms.

Findings

This cross-sectional study assessed 273 T2DM patients with depressive and anxiety symptoms using the Hospital Anxiety Depression Scale (HADS) and the 23 Questions to assess Vulnerability to Stress (23QVS), along with demographic and clinical diabetes-related variables. Hierarchical logistic regression models were used to investigate predictors of poor glycemic control. The results showed an association of depressive symptoms (odds ratio = 1.12, 95%CI = 1.01-1.24, P = 0.030) with increased risk of poor glycemic control. Anxiety symptoms and vulnerability to stress on their own were not predictive of metabolic control, respectively (odds ratio = 0.92, 95%CI = 0.84-1.00, P = 0.187 and odds ratio = 0.98, 95%CI = 0.95-1.01, P = 0.282).

Conclusions

Our data suggested that vulnerability to stress was not predictive of poor glycemic control in T2DM, but depressive symptoms were.

Factors associated with poor glycemic control in older Mexican American diabetics aged 75 years and older

OBJECTIVE

This study examines the prevalence and correlates of poor glycemic control in Mexican Americans aged 75 years and older with diabetes.

METHODS

Data are from the 5(th) wave (2004-05) of the Hispanic Established Population for the Epidemiological Study of the Elderly (H-EPESE). A total of 2,069 Mexican Americans aged 75 and over were interviewed. Six hundred eighty nine subjects (33.5%) reported having been diagnosed with diabetes and 209 (30.3%) subjects agreed to a blood test of their HbA(1)c level.

RESULTS

Of the 209 diabetic subjects with an HbA(1)c test, 73 (34.9%) had good glycemic control (HbA(1)c <7%) and 136 (65.1%) had poor glycemic control (HbA(1)c >7%). Bivariate analysis revealed that subjects with poor control had longer disease duration, had lower education, used the glucometer more frequently, and had more diabetes-complications when compared to those in the good glycemic control group. Multivariable logistic regression analysis found the following factors associated with poor glycemic control: <8 years of education, foreign-born, smoking, obesity, longer disease duration, daily glucometer use, and having macro-complications.

DISCUSSION

Prevalence of poor glycemic control is very high in this population with very high and rising prevalence of diabetes. Further studies are needed to explore the effect of these and other characteristics on glycemic control among older Mexican Americans and to develop appropriate interventions to improve diabetes outcomes and increase life-expectancy.

Predictors of suboptimal glycaemic control in type 2 diabetes patients: the role of medication adherence and body mass index in the relationship between glycaemia and age

AIMS

To analyse predictors of glycaemic control including medication adherence and body mass index (BMI) in UK general practice patients with sub-optimally controlled type 2 diabetes.

METHODS

Baseline demographic, health- and treatment-related measures were evaluated as predictors of one year glycaemic control defined separately as HbA(1c)≤ 7.5% and a continuous measure of HbA(1c) concentration, using multivariate regression models. Significant predictors were adjusted for objectively assessed medication adherence and BMI.

RESULTS

One-year HbA(1c) concentration was associated with baseline HbA(1c) (p<0.001), BMI (p=0.02), and inversely associated with age (p=0.007) and objectively assessed adherence. Adherent patients had one-year (adjusted) HbA(1c) concentration 0.65% (95% CI -1.04, -0.25; p=0.001) lower than nonadherent. Odds ratios (95% CI) of HbA(1c)≤ 7.5% for 10-year higher age were 1.63 (1.08, 2.45); for adherent compared to non-adherent patients 1.89 (0.84, 4.25); for patients receiving >5 compared to ≤ 5 medications 0.32 (0.13, 0.76); and for each 1% increment in baseline HbA(1c) 0.48 (0.31, 0.73).

CONCLUSIONS

The lower HbA(1c) achieved from greater adherence to glucose lowering treatment is comparable to that achieved with additional medication. Relationships between older age and better glycaemic control are not explained by better adherence, but may partly relate to lower BMI.

Predictors of adherence with self-care guidelines among persons with type 2 diabetes: results from a logistic regression tree analysis

Type 2 diabetes is known to contribute to health disparities in the U.S. and failure to adhere to recommended self-care behaviors is a contributing factor. Intervention programs face difficulties as a result of patient diversity and limited resources. With data from the 2005 Behavioral Risk Factor Surveillance System, this study employs a logistic regression tree algorithm to identify characteristics of sub-populations with type 2 diabetes according to their reported frequency of adherence to four recommended diabetes self-care behaviors including blood glucose monitoring, foot examination, eye examination and HbA1c testing. Using Andersen's health behavior model, need factors appear to dominate the definition of which sub-groups were at greatest risk for low as well as high adherence. Findings demonstrate the utility of easily interpreted tree diagrams to design specific culturally appropriate intervention programs targeting sub-populations of diabetes patients who need to improve their self-care behaviors. Limitations and contributions of the study are discussed.

Increased A1C among adult emergency department patients with type 2 diabetes

STUDY OBJECTIVE

Long-term glycemic control can prevent or delay complications of diabetes. Although diabetes is a common comorbidity in emergency department (ED) patients, the adequacy of long-term control is not known. Our objectives are to determine the frequency of poorly controlled type 2 diabetes among adults presenting to an ED and to identify characteristics associated with poor control.

METHODS

An A1C level was obtained for diabetic patients 18 years and older who presented to the ED for acute medical problems and had blood tests performed for usual medical care. Consecutive patients were screened for a total of 58 24-hour periods during a 10-week period. A1C values were stratified, with less than 7% defined as good control and greater than or equal to 7% poor long-term control. Logistic regression analysis was used to identify factors associated with poor control.

RESULTS

Of the 500 patients with type 2 diabetes, 53.4% had inadequate long-term control. An increased ED glucose level was independently associated with an increased A1C level. If the ED glucose level was 126 to 149 mg/dL, the odds ratio (OR) for an increased A1C level relative to a glucose level less than 100 mg/dL was 2.3 (95% confidence interval [CI] 0.95, 5.68); the OR was 6.4 (95% CI 2.9, 14.1) for glucose levels 150 to 199 mg/dL, and for glucose level of 200 mg/dL or above, the OR for an increased A1C level was 21.2 (9.1, 49.3). Other factors independently associated with increased A1C level were black race, aged 40 to 59 years, and Medicaid insurance.

CONCLUSION

The high frequency of A1C levels more than 7% points to the ED as a potential source for identifying patients with poorly controlled type 2 diabetes.

Glycemic control in HIV-infected patients with diabetes mellitus and rates of meeting American Diabetes Association management guidelines

Limited data exist on the prevalence of inadequate glycemic control and rates of meeting American Diabetic Association (ADA) management guidelines in HIV-infected adults with diabetes mellitus. We conducted a retrospective cross-sectional study of 142 HIV-infected adults with type 2 diabetes at an urban academic HIV clinic during 2008. We estimated the prevalence of and assessed associations with inadequate glycemic control, defined as hemoglobin A(1c) ≥ 7.5% for ≥ 50% of quarters over the year, and determined rates of meeting ADA clinical goals. Ninety-two percent of patients received antiretroviral therapy. The prevalence of inadequate glycemic control was 33% (95% confidence interval [CI] 25%-42%). Compared to patients with adequate control, those with inadequate control had fewer years since HIV diagnosis (12.7 versus 15.1, p = 0.01), increased use of insulin (60% versus 20%, p < 0.001) or any diabetic medication (98% versus 85%, p = 0.02), and higher triglyceride levels (238 versus 168 mg/dL, p = 0.008). Rates of achieving ADA goals were 42% for blood pressure, 66% for low-density lipoprotein cholesterol (LDL-C), 33% for high-density lipoprotein cholesterol, and 31% for triglycerides. Thirty-six percent of patients who did not meet the LDL-C goal received statin therapy. Forty-seven percent of patients were screened for retinopathy and 19% of patients without preexisting renal disease were screened for nephropathy. In conclusion, the prevalence of inadequate glycemic control in HIV-infected patients with diabetes is similar to published data from the general population. Suboptimal rates of meeting ADA blood pressure and lipid goals and adherence to screening guidelines demonstrate need for further clinician and patient education.

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.

Predictors of responders to insulin therapy at 1 year among adults with type 2 diabetes

BACKGROUND

The effectiveness of insulin therapy to lower blood glucose levels in patients with type 2 diabetes (T2D) may depend on a variety of factors. This study aims to determine baseline parameters including body mass index (BMI) threshold that might predict responders to insulin therapy.

METHODS

This was a retrospective UK population-based study derived from 358 general practices electronic dataset. We included all patients with T2D, diagnosed at the age of >18 years old and who were initiated on insulin from January 2000 to December 2006. Insulin responders were defined as HbA1c <7.5% and/or HbA1c reduction by >1% at 12 months postinsulin initiation.

RESULTS

Results are expressed in mean (s.d.). A total of 6032 patients were identified. Baseline age was 63 years (11.7). In all, 61% of patients (3696) responded to insulin. At 1-year postinsulin initiation, HbA1c was significantly reduced (9.8 vs. 8.4%, p < 0.001) and weight increased (85.7 vs. 87.9 kg, p < 0.001). Using logistic regression model, older age (p < 0.001), lower BMI (p = 0.046), higher HbA1c (p < 0.001), basal-bolus insulin therapy and premixed insulin compared to basal insulin alone at baseline were independent predictors of responders to insulin. Gender and social class were not significant predictors of insulin responders. A BMI of <35.3 was derived as a cut-point for response to insulin (p = 0.038).

CONCLUSION

Overall, insulin therapy confers significant HbA1c reduction and weight increase in patients with T2D. The responsiveness to insulin therapy however appears to depend on baseline age, BMI, HbA1c and insulin regime. Clinicians should take these factors into consideration when making a decision to initiate insulin therapy in patients with T2D.

Factors related to perceived diabetes control are not related to actual glucose control for minority patients with diabetes

OBJECTIVE

To examine variables associated with perceived diabetes control compared with an objective measure of glucose control (A1C).

RESEARCH DESIGN AND METHODS

Beliefs about diabetes were assessed among 334 individuals with diabetes living in a primarily low-income, minority, urban neighborhood. Regression analyses tested associations between disease beliefs and both participants' perceptions of control and actual control (A1C).

RESULTS

Poorer perceived diabetes control was associated with perceiving a greater impact of diabetes, greater depressive symptoms, not following a diabetic diet, A1C, and a trend toward less exercise. Variables associated with better actual control (A1C) included higher BMI, older age, and not using insulin.

CONCLUSIONS

Patients' perceptions of their diabetes control are informed by subjective diabetes cues (e.g., perceived impact of diabetes and adherence to a diabetic diet), which are not related to A1C. Clinicians should take into account what cues patients are using to assess their diabetes control.

Factors associated with poor glycemic control among patients with type 2 diabetes

OBJECTIVES

Determine factors associated with poor glycemic control among Jordanian patients with Type 2 diabetes.

METHODS

A systematic random sample of 917 patients was selected from all patients with Type 2 diabetes over a period of 6 months in 2008. A prestructured questionnaire sought information about sociodemographic, clinical characteristics, self-care management behaviours, medication adherence, barriers to adherence, and attitude towards diabetes. Weight, height, and waist circumferences were measured. All available last readings of hemoglobin A1c (HbA1c), fasting blood sugar measurements and lipid were abstracted from patients' records. Poor glycemic control was defined as HbA1c >or=7%.

RESULTS

Of the total 917 patients, 65.1% had HbA1c >or=7%. In the multivariate analysis, increased duration of diabetes (>7 years vs. <or=7years) (OR=1.99, P<or=.0005), not following eating plan as recommended by dietitians (OR=2.98, P<or=.0005), negative attitude towards diabetes, and increased barriers to adherence scale scores were significantly associated with increased odds of poor glycemic control.

CONCLUSION

The proportion of patients with poor glycemic control was high, which was nearly comparable to that reported from many countries. Longer duration of diabetes and not adherent to diabetes self-care management behaviors were associated with poor glycemic control. An educational program that emphasizes lifestyle modification with importance of adherence to treatment regimen would be of great benefit in glycemic control.

Web-based collaborative care for type 2 diabetes: a pilot randomized trial

OBJECTIVE

To test Web-based care management of glycemic control using a shared electronic medical record with patients who have type 2 diabetes.

RESEARCH DESIGN AND METHODS

We conducted a trial of 83 adults with type 2 diabetes randomized to receive usual care plus Web-based care management or usual care alone between August 2002 and May 2004. All patients had GHb > or =7.0%, had Web access from home, and could use a computer with English language-based programs. Intervention patients received 12 months of Web-based care management. The Web-based program included patient access to electronic medical records, secure e-mail with providers, feedback on blood glucose readings, an educational Web site, and an interactive online diary for entering information about exercise, diet, and medication. The primary outcome was change in GHb.

RESULTS

GHb levels declined by 0.7% (95% CI 0.2-1.3) on average among intervention patients compared with usual-care patients. Systolic blood pressure, diastolic blood pressure, total cholesterol levels, and use of in-person health care services did not differ between the two groups.

CONCLUSIONS

Care management delivered through secure patient Web communications improved glycemic control in type 2 diabetes.

Changes in diabetes distress related to participation in an internet-based diabetes care management program and glycemic control

BACKGROUND

This article investigated how changes in diabetes distress relate to receiving care management through an Internet-based care management (IBCM) program for diabetes and level of participation in this program. Further, it examined the relationship between diabetes distress and changes in glycemic control.

METHODS

We enrolled patients of the Veterans Affairs Boston Healthcare System with diabetes who had hemoglobin A1c (HbA1c) levels of ≥9.0%. Subjects were randomized to usual care (n=52) or IBCM (n=52) for 1 year. We measured diabetes distress at baseline and quarterly thereafter using the Problem Areas in Diabetes (PAID) questionnaire. Glycemic control was determined by baseline and quarterly HbA1c. For subjects randomized to IBCM, we measured participation by observing frequency and consistency of their usage of the IBCM patient portal over 12 months. Linear mixed models were used to analyze THE data.

RESULTS

PAID scores declined over time for both treatment groups. Among subjects randomized to IBCM, the decline in PAID scores over time was significant for sustained users of the IBCM patient portal but not for nonusers. Moreover, subjects whose usage of the patient portal was sustained throughout the study had lower PAID scores at baseline. With respect to changes in glycemic control, HbA1c reduced individual differences in PAID scores by 44%; a lower baseline HbA1c was associated with lower baseline PAID scores, and over time, the decrease in HbA1c was associated with further decreases in the PAID score.

CONCLUSIONS

Participation in IBCM varies by initial diabetes distress, with people with less distress participating more. For people who participate, IBCM further mitigates diabetes distress. There is also a relationship between achievements in glycemic control and subsequent lowering of diabetes distress. Future research should identify how to maximize fit between patient needs and the provisions of IBCM, with the aim of increasing patient engagement in the active management of their health using this care modality. A key to maximizing fit might be first addressing metabolic control aggressively and then using IBCM for sustainment of health.

Diabetic Retinopathy in Diabetics Referred to a Tertiary Centre from a Nationwide Screening Programme

Introduction: The aim of the study was to describe the prevalence and risk factors for diabetic retinopathy in a multi-ethnic diabetic patient cohort referred for retinal evaluation from a nationwide diabetic retinopathy screening programme in Singapore. Materials and Methods: Seven hundred and forty-two patients, aged 21 to 95, referred for suspected diabetic retinopathy on annual one-field non-mydriatic 45 degree retinal photographs (Topcon TRC-NW6, Topcon Corporation, Tokyo, Japan) from primary care to the Singapore National Eye Centre diabetic retinopathy clinic were included. The photographs had been interpreted by 24 trained family physicians accredited every 2 years with a training programme. Patients underwent a standardised interview and examination. Fundi were examined with indirect ophthalmoscopy by 2 examiners. Presence and severity of diabetic retinopathy was graded into none, mild, moderate, severe, very severe non-proliferative diabetic retinopathy and proliferative diabetic retinopathy. Macular oedema and clinically significant macular oedema were also graded. Results: Ninety-nine per cent of patients were type 2 diabetics. The prevalence of diabetic retinopathy was 38.1%, visionthreatening retinopathy was 11.8% and macular oedema was 6.9%. There were no racial differences. Significant predictors of any retinopathy were longer duration of diabetes, lower body mass index, being on treatment for hypertension, hypercholesterolaemia and use of diabetic medication. Predictors for vision-threatening retinopathy were younger age, longer duration of diabetes and lower body mass index. Conclusions: The use of one-field non-mydriatic 45 degree photography as a screening tool for diabetic retinopathy resulted in a cohort of which 38.1% had diabetic retinopathy. Risk factors for diabetic retinopathy of this cohort are also presented. Key words: Diabetic retinopathy, Epidemiology, Ethnology, Singapore, Screening

Can we predict future improvement in glycaemic control?

AIMS

To determine the factors responsible for poor glycaemic control in diabetes and whether any such factors are associated with likely improvement in glycaemic control.

METHODS

A prospective cohort study of 130 diabetic patients with poor glycaemic control (HbA(1c )> or = 10.0%) with 1-year follow-up in a teaching hospital Diabetes Clinic. Changes in HbA(1c) were measured after 1 year.

RESULTS

Poor glycaemic control was attributed to one of 15 possible causes. Those cases due to recent diagnosis of diabetes, inadequate treatment with diet, oral glucose-lowering agents or insulin, exacerbation of co-existent medical problems, recent stressful life-events and missed clinic appointments were all associated with significant improvement in HbA(1c) at 12 months. Patients with low mood or alcohol excess, inadequate blood glucose monitoring, poor exercise/sedentary lifestyle, refusal to take tablets or underdosing and refusal to take insulin at all or to increase the dose were all associated with continuing poor glycaemic control at 12 months. The patients were divided almost equally between the two groups.

CONCLUSIONS

In patients with poor glycaemic control, it is possible by simple features identified at clinic to predict which individuals are likely to show improvement in control and which will not. These findings have not been reported previously and suggest that about half of individuals with poor control will improve within our current diabetes clinic practice. Additional strategies will be required to address those individuals who are not likely to respond.

Impact of self-reported patient characteristics upon assessment of glycemic control in the Veterans Health Administration

OBJECTIVE

The purpose of this article was to evaluate the impact of self-reported patient factors on quality assessment of Veterans Health Administration medical centers in achieving glycemic control.

RESEARCH DESIGN AND METHODS

We linked survey data and administrative records for veterans who self-reported diabetes on a 1999 national weighted survey. Linear regression models were used to adjust A1C levels in fiscal year 2000 for socioeconomic status (education level, employment, and concerns of having enough food), social support (marital status and living alone), health behaviors (smoking, alcohol use, and exercise level), physical and mental health status, BMI, and diabetes duration. Medical centers were ranked by deciles, with and without adjustment for patient characteristics, on proportions of patients achieving A1C <7 or <8%.

RESULTS

There was substantial medical center level variation in patient characteristics of the 56,740 individuals from 105 centers, e.g., grade school education (mean 15.3% [range 2.3-32.7%]), being retired (38.3% [19.9-59.7%]) or married (65.2% [43.7-77.8%]), food insufficiency (13.9% [7.2-24.6%]), and no reported exercise (43.2% [31.1-53.6%]). The final model had an R(2) of 7.8%. The Spearman rank coefficient comparing the thresholds adjusted only for age and sex to the full model was 0.71 for <7% and 0.64 for <8% (P < 0.0001). After risk adjustment, 4 of the 11 best-performing centers changed at least two deciles for the <7% threshold, and 2 of 11 changed two deciles for the <8% threshold.

CONCLUSIONS

Adjustment for patient self-reported socioeconomic status and health impacts medical center rankings for glycemic control, suggesting the need for risk adjustment to assure valid inferences about quality.

Coping and psychosocial adaptation to Type 2 diabetes in older Blacks born in the Southern US and the Caribbean

Older Black men and women (n = 212) with Type 2 diabetes completed questionnaires. Spearman's rho correlation indicated that confrontive coping strategies supported effective psychosocial adaptation for persons originally from Haiti and Jamaica, while emotive coping strategies were related to ineffective psychosocial adaptation for persons originally from Barbados and to increased psychological distress for all participants. Women used more palliative coping; no gender differences were observed for psychosocial adaptation. Health care orientation, extended family relationships, and psychological distress domains distinguished Blacks born in Haiti from Blacks born in Barbados and Jamaica, the Southern US and Jamaica, and the Southern US, Barbados, and Jamaica. Findings from this study may aid in the development of interventions focused on improving diabetes self-management for older Blacks.

Facteurs déterminants du contrôle glycémique des patients diabétiques de type 2 suivis en première ligne

PURPOSE

To determine the factors associated with poor glycemic control in type 2 diabetic patients followed in primary care units in Sousse, Tunisia.

METHODS

A cross-sectional study was conducted on a representative sample of type 2 diabetic patients followed at least two years in primary health care units in Sousse, Tunisia. Data were gathered from three sources: a self-administrated questionnaire, analysis of patient files and HbA1c level. HbA1c level was measured with turbidimetric immunoinhibition assay. Patients were considered well-controlled if glycated hemoglobin (HbA1c) was less than 7%, according to the American Diabetics Association (ADA) recommendations.

RESULTS

The study enrolled 404 type 2 diabetic patients. The mean age was 60.5+/-10.89 years, sex-ratio was 0.5, and mean disease duration 8.7+/-6.1 years. ADA recommendations were met by 16.7% of patients. Multivariate analysis using variables in relation with the patient, his/her family, the disease, the treatment and the health care unit, showed that only poor geographic access to the care center (adjusted OR: 1.89, p=0.009) and Body Mass Index (BMI) less than 30 kg/m2 (adjusted OR: 2.21, p=0.034) were significantly and independently associated with poor glycemic control.

CONCLUSION

Glycemic control in type 2 diabetic patients is poor. It depends strongly on geographic access to health care. Type 2 diabetic patients should be referred, as much as possible, to the nearest health care unit.

Racial differences in impact of coverage on diabetes self-monitoring in a health maintenance organization

BACKGROUND

Insurance coverage of patient self-management devices like self-monitoring blood glucose (SMBG) equipment may help to reduce race-related barriers to effective care.

OBJECTIVES

We examined whether providing free home glucose monitors had greater impacts on self-monitoring among black versus white patients with diabetes.

RESEARCH DESIGN

Using electronic medical record data (1992-1996), we used longitudinal survival analysis to examine racial differences in rates of initiation of SMBG after coverage and rates of discontinuation of SMBG 18 months after initiation. We used piecewise Cox models to compare relative rates of SMBG initiation between black and white patients before and after the policy.

SUBJECTS

The study cohort included 2275 continuously enrolled adult patients with diabetes in a large, staff model HMO. Multivariate models were restricted to patients using oral therapy.

RESULTS

Controlling for time-dependent and fixed effects, black patients were as likely to initiate SMBG as white patients before the policy (hazard ratio 1.14; 95% confidence interval 0.86-1.50) but more likely after the policy (hazard ratio 1.33; 95% confidence interval 1.01-1.76). Among postpolicy SMBG initiators, black patients were consistently at higher risk of SMBG discontinuation than white patients over time (P < 0.05). By the end of follow-up, discontinuation rates were 78% among black patients and 64% among white patients.

CONCLUSIONS

The policy is effective in triggering additional diabetes patients to self-manage, particularly black patients. However, persistence after initiation of monitoring is short-lived. Although our results show the potential of such policies to narrow racial gaps in self-management among racial minority groups, further interventions may be needed to promote long-term adherence.

Glycemic Relapse in Type 2 Diabetes

OBJECTIVE

To characterize the occurrence of glycemic relapse after initial improvement in blood glucose levels and to describe predictors of relapse in patients with type 2 diabetes.

METHODS

Occurrence of glycemic relapse was analyzed in 393 consecutive patients with type 2 diabetes after participation in a 3-month intensive outpatient intervention. All patients had hemoglobin A1c (A1C) values (3)7% before the intervention and had achieved adequate glycemic control (nadir A1C<7%) afterward. The median follow-up time was 26.5 months. Relapse was defined as a subsequent increase in A1C to (3)7%.

RESULTS

The probability of glycemic relapse was 45% at 1 year after the intervention and was 76% at 3 years. The median time to relapse was 15.2 months. Cox multivariate regression analysis indicated that treatment with insulin was associated with a greater risk of relapse-- hazard ratio=1.5 (95% confidence interval, 1.1 to 2.2), after controlling for the patient's age, sex, race, body mass index, duration of diabetes, weight change during the intervention, and nadir A1C value. Among those patients not treated with insulin at the end of the intervention, a shorter duration of diabetes and weight loss during the intervention period were significantly associated with decreased risk of relapse.

CONCLUSION

The majority of study patients with type 2 diabetes who attained satisfactory glycemic control after intensive outpatient intervention had a relapse after the end of the intervention period. Patients receiving insulin therapy were at particular risk of glycemic relapse. Therefore, such patients should receive high priority for continuation of intensive care or for other relapse prevention measures.

Effect of a pocket-size tablet-dispensing device on glycaemic control in Type 2 diabetic patients

AIM

To evaluate whether a pocket-size tablet-dispensing device would improve adherence to therapy as judged by reduction of HbA(1c) levels in a large population of Type 2 diabetic patients.

METHODS

The study design was prospective, randomized, open label with two parallel groups. Patients (2296) were recruited from general practitioners and internists and randomized to either receive a tablet dispenser (TD) or no intervention (control group, CO). Patients' characteristics and current oral therapy (including dosage) were recorded at baseline. HbA(1c) was compared between groups at baseline and after 6 months' intervention.

RESULTS

Data were available in 2081 patients. Baseline characterisitcs, including age, body mass index (BMI), blood pressure and gender distribution were comparable between the two groups, as was HbA(1c)[7.9 (7.9-8.0), TD vs. 8.0 (7.9-8.0)%, CO, means (95% CI)]. After 6 months, HbA(1c) improved in both groups, but improvement was significantly greater in TD than in controls [-0.74 (0.67-0.80) vs. -0.53 (0.47-0.59)%, P < 0.0001]. Possession of a dispenser remained an independent predictor of improved control in a multiple regression model. In the subgroup analysis, the effect was significantly more pronounced (i) in patients receiving more medications and (ii) more diabetes medications per day (iii) in younger patients.

CONCLUSION

In this large study population in a 'realistic' setting, a simple tablet-dispensing device led to a significant and clinically relevant improvement in HbA(1c) levels. Because patients with a more complex therapy regimen benefited more, we suggest that TD might have improved adherence to therapy.

Ethnic differences in glycaemic control in adult Type 2 diabetic patients in primary care: a 3-year follow-up study

OBJECTIVE

To evaluate ethnic differences and characteristics related to glycaemic control in patients with Type 2 diabetes in primary care.

RESEARCH DESIGN AND METHODS

Prospective cohort study; 500 adult patients with Type 2 diabetes, who were not on insulin therapy, were followed up annually for 3 years. HbA(1c) at baseline and 3-year changes and subsequent insulin therapy were related to baseline characteristics.

RESULTS

Malay patients had significantly higher HbA(1c) (mean 8.7% +/- sd 1.66) compared with Chinese (8.2 +/- sd 1.67) and Indian (8.2 +/- sd 1.55) (P = 0.032) at baseline, and consistently for all years of HbA(1c) assessment (P = 0.017). At baseline, Malay patients were significantly more obese than Chinese or Indians (P < 0.001); fewer of them received structured shared-care intervention (P = 0.001), but they had a significantly higher glucose control educational score (P < 0.05). Multivariable analyses showed that HbA(1c) at baseline was significantly related to age (P = 0.001), BMI (P = 0.031) and ethnicity (P = 0.002). HbA(1c) declined significantly over 3 years in the whole population and in all ethnic groups. Significantly greater HbA(1c) declines were associated with higher baseline HbA(1c), structured shared-care intervention and non-insulin therapy. Correcting for differences on these factors, the decline in HbA(1c) in Malays was significantly less than in the Chinese. Insulin therapy was associated with higher baseline HbA(1c) and higher BMI.

CONCLUSIONS

Malay ethnicity was associated with persistently poor glycaemic control. Sociocultural and behavioural factors should be addressed in improving care for patients with poorly controlled diabetes.

Predictors of glycemic control among patients with Type 2 diabetes: a longitudinal study

BACKGROUND

Diabetes is the sixth leading cause of death and results in significant morbidity. The purpose of this study is to determine what demographic, health status, treatment, access/quality of care, and behavioral factors are associated with poor glycemic control in a Type 2 diabetic, low-income, minority, San Diego population.

METHODS

Longitudinal observational data was collected on patients with Type 2 diabetes from Project Dulce, a program in San Diego County designed to care for an underserved diabetic population. The study sample included 573 patients with a racial/ethnic mix of 53% Hispanic, 7% black, 18% Asian, 20% white, and 2% other. We utilized mixed effects models to determine the factors associated with poor glycemic control using hemoglobin A1C (A1C) as the outcome of interest. A multi-step model building process was used resulting in a final parsimonious model with main effects and interaction terms.

RESULTS

Patients had a mean age of 55 years, 69% were female, the mean duration of diabetes was 7.1 years, 31% were treated with insulin, and 57% were obese. American Diabetes Association (ADA) recommendations for blood pressure and total cholesterol were met by 71% and 68%, respectively. Results of the mixed effects model showed that patients who were uninsured, had diabetes for a longer period of time, used insulin or multiple oral agents, or had high cholesterol had higher A1C values over time indicating poorer glycemic control. The younger subjects also had poorer control.

CONCLUSION

This study provides factors that predict glycemic control in a specific low-income, multiethnic, Type 2 diabetic population. With this information, subgroups with high risk of disease morbidity were identified. Barriers that prevent these patients from meeting their goals must be explored to improve health outcomes.

Clinical outcomes and adherence to medications measured by claims data in patients with diabetes

OBJECTIVE

Although poor medication adherence may contribute to inadequate diabetes control, ways to feasibly measure adherence in routine clinical practice have yet to be established. The present study was conducted to determine whether pharmacy claims-based measures of medication adherence are associated with clinical outcomes in patients with diabetes.

RESEARCH DESIGN AND METHODS

The study setting was a large, integrated delivery and financial system serving the residents of southeastern Michigan. The study population consisted of 677 randomly selected patients aged > or =18 years with a diagnosis of diabetes, hypercholesterolemia, and hypertension and who filled at least one prescription for either an antidiabetic, lipid-lowering, or antihypertensive drug in each of the 3 study years (1999-2001). The main outcome measures were HbA1c, LDL cholesterol levels, and blood pressure.

RESULTS

Nonadherent patients had both statistically and clinically worse outcomes than adherent patients. Even after adjusting for demographic and clinical characteristics, nonadherence was significantly associated with HbA1c and LDL cholesterol levels. A 10% increase in nonadherence to metformin and statins was associated with an increase of 0.14% in HbA1c and an increase of 4.9 mg/dl in LDL cholesterol levels. Nonadherence to ACE inhibitors was not significantly associated with blood pressure.

CONCLUSIONS

Claims-based measures of medication adherence are associated with clinical outcomes in patients with diabetes and may therefore prove to be useful in clinical practice. More research is needed on methods to introduce claims-based adherence measurements into routine clinical practice and how to use these measurements to effectively improve adherence and health outcomes in chronic care management.

Complications in young adults with early-onset type 2 diabetes: losing the relative protection of youth

OBJECTIVE

To determine whether adults diagnosed with type 2 diabetes from age 18 to 44 years more aggressively develop clinical complications after diagnosis than adults diagnosed at >or=45 years of age.

RESEARCH DESIGN AND METHODS

We compared outcomes among 7844 adults in a health maintenance organization who were newly diagnosed with type 2 diabetes between 1996 and 1998. We abstracted clinical data from electronic medical, laboratory, and pharmacy records. To adjust for length of follow-up and sex, we used proportional hazards models to compare incident complication rates through 2001 between onset groups (mean follow-up 3.9 years). To adjust for the increasing prevalence of macrovascular disease with advancing age, onset groups were matched by age and sex to control subjects without diabetes for macrovascular outcomes.

RESULTS

Adults with early-onset type 2 diabetes were 80% more likely to begin insulin therapy than those with usual-onset type 2 diabetes (hazards ratio [HR] 1.8, 95% CI 1.5-2.0), despite a similar average time to requiring insulin ( approximately 2.2 years). Although the combined risk of microvascular complications did not differ overall, microalbuminuria was more likely in early-onset type 2 diabetes than usual-onset type 2 diabetes (HR 1.2, 95% CI 1.1-1.4). The hazard of any macrovascular complication in early-onset type 2 diabetic patients compared with control subjects was twice as high in usual-onset type 2 diabetic patients compared with control subjects (HR 7.9 vs. 3.8, respectively). Myocardial infarction (MI) was the most common macrovascular complication, and the hazard of developing an MI in early-onset type 2 diabetic patients was 14-fold higher than in control subjects (HR 14.0, 95% CI 6.2-31.4). In contrast, adults with usual-onset type 2 diabetes had less than four times the risk of developing an MI compared with control subjects (HR 3.7, P < 0.001).

CONCLUSIONS

Early-onset type 2 diabetes appears to be a more aggressive disease from a cardiovascular standpoint. Although the absolute rate of cardiovascular disease (CVD) is higher in older adults, young adults with early-onset type 2 diabetes have a much higher risk of CVD relative to age-matched control subjects.

Responsiveness of the Problem Areas In Diabetes (PAID) questionnaire

AIM

Responsiveness (sensitivity to change over time) is a key psychometric quality for an outcome measure. We examined the responsiveness of the Problem Areas In Diabetes (PAID) questionnaire, a measure of diabetes-specific emotional distress.

METHODS

PAID data were obtained from seven diabetes intervention studies following a literature search that included both published papers and conference abstracts. To estimate responsiveness we used two indices: (i) a statistical test (the dependent t-test), and (ii) a commonly used effect size index (Cohen's d).

RESULTS

Mean patient PAID scores improved from baseline to follow-up for all seven studies. Specifically, t-statistics ranged from t= 8.5 (P < 0.001) to t= 2.1 (P < 0.06). Effect size results ranged from 0.32 (i.e. small) for a disease management intervention to 0.65 (i.e. moderate) for an intensive medical/educational intervention.

CONCLUSIONS

Despite the pilot nature of the studies, the pattern of findings provided strong support for the responsiveness of the PAID. Information on responsiveness helps clinical researchers select measures, accurately estimate sample size to ensure adequate statistical power, and prioritize outcomes to be assessed.

The association between diabetes metabolic control and drug adherence in an indigent population

OBJECTIVE

Studies of the association between diabetes metabolic control and adherence to drug therapy have yielded conflicting results. Because low socioeconomic and minority populations have poorer diabetes outcomes and greater barriers to adherence, we examined the relationship between adherence and diabetes metabolic control in a large indigent population.

RESEARCH DESIGN AND METHODS

The study population consisted of patients receiving medical care from a university-based internal medicine clinic serving a low-income population in rural central Virginia. The sample comprised 810 patients with type 2 diabetes who received oral diabetes medications from the clinic pharmacy and had at least one HbA(1c) determination during the study period. Multiple linear regression was used to examine the association of HbA(1c) level as well as change in HbA(1c) level with medication adherence, demographic, and clinical characteristics.

RESULTS

Better metabolic control was independently associated with greater medication adherence, increasing age, white (versus African-American) race, and lower intensity of drug therapy. For each 10% increment in drug adherence, HbA(1c) decreased by 0.16% (P < 0.0001). Controlling for other demographic and clinical variables, the mean HbA(1c) of African-Americans was 0.29% higher than that of whites (P = 0.04). Additionally, the intensity of diabetes drug therapy for African-Americans was lower, as was their measured adherence to it. There was no association between metabolic control and gender, income, encounter frequency, frequency of HbA(1c) testing, or continuity of care.

CONCLUSIONS

Adherence to medication regimens for type 2 diabetes is strongly associated with metabolic control in an indigent population; African-Americans have lower adherence and worse metabolic control. Greater efforts are clearly needed to facilitate diabetes self-management behaviors of low-income populations and foster culturally sensitive and appropriate care for minority groups.

Characteristics of an adult population with newly diagnosed type 2 diabetes: the relation of obesity and age of onset

OBJECTIVE

To determine whether adults diagnosed with type 2 diabetes at 18-44 years of age (early type 2 diabetes) have different metabolic profiles at diagnosis than adults diagnosed at > or =45 years of age (usual type 2 diabetes).

RESEARCH DESIGN AND METHODS

Within a health maintenance organization, we studied characteristics among 2,437 adults newly diagnosed with type 2 diabetes between 1996 and 1998 who had measured weight, HbA(1c), blood pressure, and cholesterol within 3 months of diagnosis. We abstracted clinical data from electronic medical records. We compared mean and proportional differences with parametric t tests and chi(2) analyses, respectively. We used multiple logistic regression to identify the factors independently associated with the onset group (early vs. usual type 2 diabetes).

RESULTS

There was an inverse linear relationship between BMI and age at diagnosis of type 2 diabetes (P < 0.001). On univariate analysis, adults with early type 2 diabetes were more obese (BMI 39 vs. 33 kg/m(2), P < 0.001), were more likely to be female (P = 0.04), had slightly worse glycemic control (HbA(1c) 7.7 vs. 7.5%, P = 0.03), had a higher prevalence of diastolic hypertension (37 vs. 26%, P < 0.001), despite a lower prevalence of systolic hypertension (34 vs. 55%, P < 0.001), and had an equally high rate of abnormal lipids (82 vs. 78%, P = 0.13) than adults with usual type 2 diabetes. BMI, female gender, cholesterol, and diastolic and systolic blood pressure remained independently associated with onset group at multivariate analysis.

CONCLUSIONS

Although both onset groups were on average obese, the inverse linear relationship of obesity and age of diabetes onset that we observed suggests that obesity is a continuous risk rather than a threshold risk for diabetes onset. Both onset groups had a high prevalence of cardiovascular disease risk factors.

Post-diagnosis family adaptation influences glycemic control in women with type 2 diabetes mellitus

Family adaptation to type 2 diabetes management after nutrition education was studied as part of a 2.5-year ethnography. Data analysis included descriptive data (observations, transcribed audio recordings, written field notes) and quantitative data (self-monitored morning fasting blood glucose, food records) from the families of 5 New York suburban women. The following inferences emerged from data analysis. Among the women with improved glycemic control, the home and family routines had changed. Diabetes management was observed as certain tasks: food tasks, patient care tasks, management tasks, and medical advice tasks. The social context of the women's daily lives influenced their glycemic control; specifically, family members other than the women with diabetes took on new "hospital roles and routines." Nutrition education should be directed toward assessing existing family social support and helping women organize and supplement this support to ensure the successful completion of the tasks of diabetes self-management.

The ADKnowl: identifying knowledge deficits in diabetes care

AIMS

To present the ADKnowl measure of diabetes-related knowledge and evaluate its use in identifying the nature and extent of patient and health professional knowledge deficits.

METHOD

The ADKnowl was used in a large-scale study of 789 patients (451 treated with insulin and 338 treated with tablets and/or diet) attending for annual review at one of two hospital out-patient diabetes clinics

RESULTS

Knowledge deficits were apparent in the patients. For example, 57% did not recognize the inaccuracy of the statement 'fresh fruit can be eaten freely with little effect on blood glucose levels'. Seventy-five percent of patients did not know that it is advisable to trim toenails to the shape of the toe. Knowledge deficits were identified for many other areas of diabetes management, e.g. prevention of hypoglycaemia, avoidance of ketoacidosis. Sixteen health professionals at the clinics answered the same items. Contrary to recommendations, 25% of health professionals thought that fresh fruit could be eaten freely. Seventy-five percent of health professionals did not know the current recommendations for trimming toenails. As expected, HbA1c did correlate with scores from two specific items, while HbA1c did not correlate with summed ADKnowl score.

CONCLUSIONS

Patient knowledge deficits were identified. Some specific knowledge deficits among health professionals may be the cause of some patient knowledge deficits. The ADKnowl is a useful tool in assessing both patient and health professional knowledge deficits and is available for use in a context of continuing evaluation.

The potentially poor response to outpatient diabetes care in urban African-Americans

OBJECTIVE

HbA1c levels can be reduced in populations of diabetic patients, but some individuals may exhibit little improvement. To search for reasons underlying differences in HbA1c outcome, we analyzed patients managed in an outpatient diabetes clinic.

RESEARCH DESIGN AND METHODS

African-Americans with type 2 diabetes were categorized as responders, intermediate responders or poor responders according to their HbA1c level after 1 year of care. Logistical regression was used to determine baseline characteristics that distinguished poor responders from responders. Therapeutic strategies were examined for each of the response categories.

RESULTS

The 447 patients had a mean age and disease duration of 58 and 5 years, respectively, and BMI of 32 kg/m2. Overall, the mean HbA1c level fell from 9.6 to 8.1% after 12 months. Mean HbA1c levels improved from 8.8 to 6.2% in responders, and from 9.5 to 7.9% in intermediate responders. In poor responders, the average HbA1c level was 10.8% on presentation and 10.9% at 1 year. The odds of being a poor responder were significantly increased with longer disease duration, higher initial HbA1c level, and greater BMI. Although doses of oral agents and insulin were significantly higher among poor responders at most visits, the acceleration of insulin therapy did not occur until late in the follow-up period.

CONCLUSIONS

Clinical diabetes programs need to devise methods to identify patients who are at risk for persistent hyperglycemia. Whereas patient characteristics explain some heterogeneity of HbA1c outcome (and may aid in earlier identification of patients who potentially may not respond to conventional treatment), insufficient intensification of therapy may also be a component underlying the failure to achieve glycemic goals.