Factors Associated With Improved A1C Among Adults With Type 1 Diabetes in the United States.

Many adults with diabetes do not reach optimal glycemic targets, and, despite advances in diabetes management, diabetes technology use remains significantly lower in racial/ethnic minority groups. This study aimed to identify factors associated with achieving the recommended A1C target of <7% using data on 12,035 adults with type 1 diabetes from 15 centers participating in the T1D Exchange Quality Improvement Collaborative. Individuals attaining the target A1C were more likely to be older, White, have private health insurance, and use diabetes technology and less likely to report depressive symptoms or episodes of severe hypoglycemia or diabetic ketoacidosis than those with higher A1C levels. These findings highlight the importance of overcoming inequities in diabetes care.

Barriers to diabetic foot care in a disadvantaged population: A qualitative assessment.

OBJECTIVE: We explored barriers to proper foot care in this population using a qualitative approach with focus group discussions (FGD). METHODS: Participants were recruited from clinics at a safety-net hospital in Atlanta, Georgia and stratified into two groups: diabetic foot ulcer (DFU) and minor amputation (below ankle). The FGDs addressed patient experience in receiving care with a goal of understanding: foot care knowledge, barriers to care, and preferred educational methods. Surveys were performed to supplement FGDs. RESULTS: Forty participants (90% Black) were enrolled. Dominant themes emerging from FGDs were: 1-Patients reported adequate understanding of recommended foot care practices; 2-Personal barriers to self-care included lack of motivation, high cost, poor insurance coverage of supplies, and difficulty limiting activity for proper offloading; 3-Hospital system barriers included difficulty making timely appointments and reaching a provider to arrange care; 4-Access to footcare-related information and services improved with greater disease severity. Participants stressed that improved access often came too late to alter their course. They expressed interest in developing peer support groups to facilitate learning and sharing information relating to DFU. CONCLUSION: We found that patients with DFU or minor amputations have adequate footcare-related knowledge, but personal and systemic barriers limited appropriate foot care.

Current and Next Generation Portable Screening Devices for Diabetic Retinopathy.

Diabetic retinopathy (DR) is the leading cause of legal blindness in the United States, and with the growing epidemic of diabetes, a global increase in the incidence of DR is inevitable, so it is of utmost importance to identify the most cost-effective tools for DR screening. Emerging technology may provide advancements to offset the burden of care, simplify the process, and provide financially responsible methods to safely and effectively optimize care for patients with diabetes mellitus (DM). We review here currently available technology, both in production and under development, for DR screening. Preliminary results of smartphone-based devices, "all-in-one" devices, and alternative technologies are encouraging, but are largely pending verification of utility when used by nonophthalmic personnel. Further research comparing these devices to current nonportable telemedicine strategies and clinical fundus examination is necessary to validate these techniques and to potentially overcome the poor compliance around the globe of current strategies for DR screening.

Depression, deficits in functional capacity, and impaired glycemic control in urban African Americans with type 2 diabetes.

BACKGROUND: Effective depression treatment does not reliably reduce glycosylated hemoglobin (HbA1c) in depressed patients with type 2 diabetes, possibly in part due to deficits in functional capacity, i.e. performance of certain everyday living skills, essential for effective diabetes self-management. We sought to determine: a) the magnitude of deficits in functional capacity among urban, African American (AA) patients with type 2 diabetes, and b) whether these deficits were associated with poorer glycemic control. METHODS: At their initial visit to an inner-city diabetes clinic, 172 AA patients with type 2 diabetes were assessed with a variety of instruments, including the Mini International Neuropsychiatric Interview (MINI) and the UCSD Performance Skills Assessment-Brief (UPSA-B). They then entered a comprehensive diabetes management intervention, whose success was indexed by HbA1c levels at up to four reassessments over a one-year period. A mixed-effects model repeated-measures method was used to predict HbA1c. RESULTS: The prevalence of depression was 19%; the mean UPSA-B score was 81 ± 17. After multivariate adjustment, increased HbA1c levels over time were predicted by the presence of major depression (B = .911, p = .002) and decreasing (worse) scores on the UPSA-B (B = -.016, p = .027), respectively. Further adjustment for increasing the dosage of oral or insulin during the treatment eliminated the association between the UPSA score and HbA1c level (B = -.010, p = .115). CONCLUSIONS: Depression, as well as deficits in functional capacity, predicted reduced effectiveness of a diabetes self-management intervention. Future studies will determine whether interventions targeted at both improve glycemic control.

Medication reconciliation: comparing a customized medication history form to a standard medication form in a specialty clinic (CAMPII 2).

BACKGROUND: Medication history forms completed by patients are an essential part of the medication reconciliation process. OBJECTIVE: In a crossover prospective study, investigators compared the accuracy and acceptability of a "fill-in-the blank" medication history form (USUAL) to a customized form (CUSTOM) that contained a checklist of the 44 most frequently prescribed diabetes clinic medications. METHODS: The content of both forms was compared to a "gold-standard" medication list compiled by a clinical pharmacist who conducted a medication history and reviewed pharmacy profiles and medical chart. Subject preference and time to complete the forms were also determined. Accurate was defined as complete and correct (name, dose, and frequency) relative to the gold standard. RESULTS: A total of 77 subjects completed both forms. Complete list accuracy was poor; there was no difference in the accuracy between CUSTOM (6.5%) and USUAL (9.1%) (odds ratio [OR], 0.33; P = 0.62). Out of a total of 648 medications, subjects accurately listed 43.7% of medications on CUSTOM and 45.5% on USUAL (OR, 0.88; P = 0.41). The 44 medications on the checklist were more than twice as likely to be accurately reported using CUSTOM than with USUAL (OR, 2.1; P = 0.0002). More subjects preferred CUSTOM (65.7%) compared with USUAL (32.8%, P = 0.007). CONCLUSION: Medication self-report is very poor, and few subjects created an accurate list on either form. Subjects were more likely to report the drugs on the checklist using CUSTOM than when they used USUAL; however, there was no difference in the overall accuracy between CUSTOM and USUAL.

Screening for diabetes and pre-diabetes with proposed A1C-based diagnostic criteria.

OBJECTIVE: An International Expert Committee (IEC) and the American Diabetes Association (ADA) proposed diagnostic criteria for diabetes and pre-diabetes based on A1C levels. We hypothesized that screening for diabetes and pre-diabetes with A1C measurements would differ from using oral glucose tolerance tests (OGTT). RESEARCH DESIGN AND METHODS: We compared pre-diabetes, dysglycemia (diabetes or pre-diabetes), and diabetes identified by the proposed criteria (A1C ≥ 6.5% for diabetes and 6.0-6.4% [IEC] or 5.7-6.4% [ADA] for high risk/pre-diabetes) with standard OGTT diagnoses in three datasets. Non-Hispanic white or black adults without known diabetes who had A1C and 75-g OGTT measurements were included from the prospective Screening for Impaired Glucose Tolerance study (n = 1,581), and from the National Health and Nutrition Examination Survey (NHANES) III (n = 2014), and NHANES 2005-2006 (n = 1,111). RESULTS: OGTTs revealed pre-diabetes in 35.8% and diabetes in 5.2% of combined study subjects. A1C provided receiver operating characteristic (ROC) curve areas for diabetes of 0.79-0.83, but ROC curve areas were ≤ 0.70 for dysglycemia or pre-diabetes. The proposed criteria missed 70% of individuals with diabetes, 71-84% with dysglycemia, and 82-94% with pre-diabetes. Compared with the IEC criteria, the ADA criteria for pre-diabetes resulted in fewer false-negative and more false-positive result. There were also racial differences, with false-positive results being more common in black subjects and false-negative results being more common in white subjects. With use of NHANES 2005-2006 data, ∼5.9 million non-Hispanic U.S. adults with unrecognized diabetes and 43-52 million with pre-diabetes would be missed by screening with A1C. CONCLUSIONS The proposed A1C diagnostic criteria are insensitive and racially discrepant for screening, missing most Americans with undiagnosed diabetes and pre-diabetes.

Glucose-independent, black-white differences in hemoglobin A1c levels: a cross-sectional analysis of 2 studies.

BACKGROUND: A previous study of participants with prediabetes found that hemoglobin A(1c) (HbA(1c)) levels differed between black and white participants with no differences in glucose concentration. OBJECTIVE: To determine whether black-white differences in HbA(1c) level are present in other populations and across the full spectrum of glycemia. DESIGN: Cross-sectional, retrospective. SETTING: Outpatient. PARTICIPANTS: 1581 non-Hispanic black and white participants between 18 and 87 years of age without known diabetes in the SIGT (Screening for Impaired Glucose Tolerance) study and 1967 non-Hispanic black and white participants older than 40 years without known diabetes in the NHANES III (Third National Health and Nutrition Examination Survey). MEASUREMENTS: HbA(1c) levels, anthropometry, and plasma glucose levels during oral glucose tolerance testing. RESULTS: Hemoglobin A(1c) levels were higher in black than in white participants with normal glucose tolerance (0.13 percentage point [P < 0.001] in the SIGT sample and 0.21 percentage point [P < 0.001] in the NHANES III sample), prediabetes (0.26 percentage point [P < 0.001] and 0.30 percentage point [P < 0.001], respectively), or diabetes (0.47 percentage point [P < 0.020] and 0.47 percentage point [P < 0.013], respectively) after adjustment for plasma glucose levels and other characteristics known to correlate with HbA(1c) levels. LIMITATION: The mechanism for the differences is unknown. CONCLUSION: Black persons have higher HbA(1c) levels than white persons across the full spectrum of glycemia, and the differences increase as glucose intolerance worsens. These findings could limit the use of HbA(1c) to screen for glucose intolerance, indicate the risk for complications, measure quality of care, and evaluate disparities in health.

Many Americans have pre-diabetes and should be considered for metformin therapy.

OBJECTIVE: To determine the proportion of the American population who would merit metformin treatment, according to recent American Diabetes Association (ADA) consensus panel recommendations to prevent or delay the development of diabetes. RESEARCH DESIGN AND METHODS: Risk factors were evaluated in 1,581 Screening for Impaired Glucose Tolerance (SIGT), 2,014 Third National Health and Nutrition Examination Survey (NHANES III), and 1,111 National Health and Nutrition Examination Survey 2005-2006 (NHANES 2005-2006) subjects, who were non-Hispanic white and black, without known diabetes. Criteria for consideration of metformin included the presence of both impaired fasting glucose (IFG) and impaired glucose tolerance (IGT), with > or =1 additional diabetes risk factor: age <60 years, BMI > or =35 kg/m(2), family history of diabetes, elevated triglycerides, reduced HDL cholesterol, hypertension, or A1C >6.0%. RESULTS: Isolated IFG, isolated IGT, and IFG and IGT were found in 18.0, 7.2, and 8.2% of SIGT; 22.3, 6.4, and 9.4% of NHANES III; and 21.8, 5.0, and 9.0% of NHANES 2005-2006 subjects, respectively. In SIGT, NHANES III, and NHANES 2005-2006, criteria for metformin consideration were met in 99, 96, and 96% of those with IFG and IGT; 31, 29, and 28% of all those with IFG; and 53, 57, and 62% of all those with IGT (8.1, 9.1, and 8.7% of all subjects), respectively. CONCLUSIONS: More than 96% of individuals with both IFG and IGT are likely to meet ADA consensus criteria for consideration of metformin. Because >28% of all those with IFG met the criteria, providers should perform oral glucose tolerance tests to find concomitant IGT in all patients with IFG. To the extent that our findings are representative of the U.S. population, approximately 1 in 12 adults has a combination of pre-diabetes and risk factors that may justify consideration of metformin treatment for diabetes prevention.

Perception of barriers to self-care management among diabetic patients.

PURPOSE: The purpose of this study was to explore individual, educational, and system barriers that limit low-income diabetes patients' ability to achieve optimal diabetes self-management. METHODS: Economically disadvantaged patients with diabetes who used the Diabetes Clinic of Grady Health System in Atlanta, Georgia, participated in 3 focus group discussions. RESULTS: The discussions were held with mostly African Americans (n = 35) to explore barriers to achieving optimal diabetes self-management. Most participants were not married, approximately one-third had less than high school level reading skills, and 40% were not currently working. In terms of individual barriers, the emotional toll from the diagnosis of and lifestyle changes to treat diabetes was a recurrent theme, and included stress, frustration, social isolation, interpersonal conflicts, depression, and fear. Denial was often mentioned as the key factor that inhibited adherence to a healthy mode of living. The educational barriers were failure to recognize the risks and consequences of an asymptomatic condition. Many participants did not understand A1C. Finally, several system barriers were identified. The participants identified needed services, including follow-up and refresher courses, support group discussions, nutrition and medication education, availability of different education modalities, and expanded clinic hours. CONCLUSIONS: The focus group discussions identified both barriers to diabetes management and opportunities for improving care for underserved patients with diabetes. The results are useful to improve the delivery of care and to develop quantitative studies to explore particular areas of interest. Based on these results, the current system needs to provide more support and education to patients with diabetes.

Patient activation is associated with healthy behaviors and ease in managing diabetes in an indigent population.

PURPOSE: The purpose of this study is to assess the validity of the patient activation construct as measured by the Patient Activation Measure (PAM) survey by correlating PAM scores with diabetes self-management behaviors, attitudes, and knowledge in a predominantly minority and uninsured population. METHODS: A convenience sample of patients presenting to an urban public hospital diabetes clinic was surveyed and contacted by phone 6 months later. The survey included questions about activation, health behaviors, and health care utilization. RESULTS: A total of 287 patients agreed to participate. Most were African American, female, and uninsured. Most respondents (62.2%) scored in the highest category of activation according to the PAM. Activated patients were more likely to perform feet checks, receive eye examinations, and exercise regularly. Activation was consistently associated with less reported difficulty in managing diabetes care but not with A1C knowledge. PAM scores at the initial interview were highly correlated with scores at 6-month follow-up. Activation level did not predict differences in health care utilization during the 6 months following the survey. CONCLUSIONS: Higher scores on the PAM were associated with higher rates of self-care behaviors and ease in managing diabetes; however, the indigent urban population reported higher activation scores than found in previous studies. The relationship between activation and outcomes needs to be explored further prior to expanding use of this measure in this patient population.

The "metabolic syndrome" is less useful than random plasma glucose to screen for glucose intolerance.

AIMS: To compare the utility of metabolic syndrome (MetS) to random plasma glucose (RPG) in identifying people with diabetes or prediabetes. METHODS: RPG was measured and an OGTT was performed in 1155 adults. Test performance was measured by area under the receiver-operating-characteristic curve (AROC). RESULTS: Diabetes was found in 5.1% and prediabetes in 20.0%. AROC for MetS with fasting plasma glucose (FPG) was 0.80 to detect diabetes, and 0.76 for diabetes or prediabetes--similar to RPG alone (0.82 and 0.72). However, the AROC for MetS excluding fasting plasma glucose was lower: 0.69 for diabetes (p<0.01 vs. both RPG and MetS with FPG), and 0.69 for diabetes or prediabetes. AROCs for MetS with FPG and RPG were comparable and higher for recognizing diabetes in blacks vs. whites, and females vs. males. MetS with FPG was superior to RPG for identifying diabetes only in subjects with age <40 or BMI <25. CONCLUSIONS: MetS features can be used to identify risk of diabetes, but predictive usefulness is driven largely by FPG. Overall, to identify diabetes or prediabetes in blacks and whites with varying age and BMI, MetS is no better than RPG--a more convenient and less expensive test.

Diabetes management in urban African Americans: review of a public hospital experience.

OBJECTIVE: To review characteristics of an urban (primarily African American) diabetes patient population and discuss experience with treatment strategies, we summarize key retrospective and prospective analyses conducted during 15 years. RESULTS: Severe socioeconomic and personal barriers to diabetes care were often seen in the population. An atypical presentation of diabetic ketoacidosis was observed and extensively studied. A structured diabetes care delivery program was implemented more than three decades ago. A better understanding of how to provide simpler but effective dietary education and factors that affect lipid levels were elucidated. The phenomenon of clinical inertia was described, and methods were developed to facilitate the intensification of diabetes therapy and improve glycemic control. CONCLUSIONS: Structured diabetes care can be successfully introduced into a public health system and effective diabetes management can be provided to an under-served population that can result in improved metabolic outcomes. Lessons learned on diabetes management in this population can be extended to similar clinical settings.

Use of a uniform treatment algorithm abolishes racial disparities in glycemic control.

PURPOSE: The purpose of this study is to compare glycemic control between blacks and whites in a setting where patient and provider behavior is assessed, and where a uniform treatment algorithm is used to guide care. METHODS: This observational cohort study was conducted in 3542 patients (3324 blacks, 218 whites) with type 2 diabetes with first and 1-year follow-up visits to a municipal diabetes clinic; a subset had 2-year follow-up. Patient adherence and provider management were determined. The primary endpoint was A1c. RESULTS: At presentation, A1c was higher in blacks than whites (8.9% vs 8.3%; P < .001), even after adjusting for demographic and clinical characteristics. During 1 year of follow-up, patient adherence to scheduled visits and medications was comparable in both groups, and providers intensified medications with comparable frequency and amount. After 1 year, A1c differences decreased but remained significant (7.7% vs 7.3%; P = .029), even in multivariable analysis (P = .003). However, after 2 years, A1c differences were no longer observed by univariate (7.6% vs 7.5%; P = .51) or multi-variable analysis (P = .18). CONCLUSIONS: Blacks have higher A1c than whites at presentation, but differences narrow after 1 year and disappear after 2 years of care in a setting where patient and provider behavior are comparable and that emphasizes uniform intensification of therapy. Presumably, racial disparities at presentation reflected prior inequalities in management. Use of uniform care algorithms nationwide should help to reduce disparities in diabetes outcomes.

Random plasma glucose in serendipitous screening for glucose intolerance: screening for impaired glucose tolerance study 2.

BACKGROUND: With positive results from diabetes prevention studies, there is interest in convenient ways to incorporate screening for glucose intolerance into routine care and to limit the need for fasting diagnostic tests. OBJECTIVE: The aim of this study is to determine whether random plasma glucose (RPG) could be used to screen for glucose intolerance. DESIGN: This is a cross-sectional study. PARTICIPANTS: The participants of this study include a voluntary sample of 990 adults not known to have diabetes. MEASUREMENTS: RPG was measured, and each subject had a 75-g oral glucose tolerance test several weeks later. Glucose intolerance targets included diabetes, impaired glucose tolerance (IGT), and impaired fasting glucose(110) (IFG(110); fasting glucose, 110-125 mg/dl, and 2 h glucose < 140 mg/dl). Screening performance was measured by area under receiver operating characteristic curves (AROC). RESULTS: Mean age was 48 years, and body mass index (BMI) was 30.4 kg/m(2); 66% were women, and 52% were black; 5.1% had previously unrecognized diabetes, and 24.0% had any "high-risk" glucose intolerance (diabetes or IGT or IFG(110)). The AROC was 0.80 (95% CI 0.74-0.86) for RPG to identify diabetes and 0.72 (0.68-0.75) to identify any glucose intolerance, both highly significant (p < 0.001). Screening performance was generally consistent at different times of the day, regardless of meal status, and across a range of risk factors such as age, BMI, high density lipoprotein cholesterol, triglycerides, and blood pressure. CONCLUSIONS: RPG values should be considered by health care providers to be an opportunistic initial screening test and used to prompt further evaluation of patients at risk of glucose intolerance. Such "serendipitous screening" could help to identify unrecognized diabetes and prediabetes.

Age, BMI, and race are less important than random plasma glucose in identifying risk of glucose intolerance: the Screening for Impaired Glucose Tolerance Study (SIGT 5).

OBJECTIVE: Age, BMI, and race/ethnicity are used in National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) and American Diabetes Association (ADA) guidelines to prompt screening for pre-diabetes and diabetes, but cutoffs have not been evaluated rigorously. RESEARCH DESIGN AND METHODS: Random plasma glucose (RPG) was measured and 75-g oral glucose tolerance tests were performed in 1,139 individuals without known diabetes. Screening performance was assessed by logistic regression and area under the receiver operating characteristic curve (AROC). RESULTS: NIDDK/ADA indicators age >45 years and BMI >25 kg/m(2) provided significant detection of both diabetes and dysglycemia (both AROCs 0.63), but screening was better with continuous-variable models of age, BMI, and race and better still with models of age, BMI, race, sex, and family history (AROC 0.78 and 0.72). However, screening was even better with RPG alone (AROCs 0.81 and 0.72). RPG >125 mg/dl could be used to prompt further evaluation with an OGTT. CONCLUSIONS: Use of age, BMI, and race/ethnicity in guidelines for screening to detect diabetes and pre-diabetes may be less important than evaluation of RPG. RPG should be investigated further as a convenient, inexpensive screen with good predictive utility.

Relationship of diabetes with cardiovascular disease-related hospitalization rates, length of stay, and charges: analysis by race/ethnicity, age, and sex.

OBJECTIVE: Determine relationship of diabetes with risk of cardiovascular disease hospitalizations and the effect on hospital length of stay and charges. DESIGN: A cross-sectional analysis of Georgia hospital discharge data for 1998 through 2001. PATIENTS: Patients hospitalized principally with one of six cardiovascular disease (CVD) conditions (myocardial infarction, ischemic heart disease, cardiac dysrhythmia, heart failure, cerebrovascular events, peripheral vascular disease) were identified in the hospital discharge data. MAIN OUTCOME MEASURES: Aggregated CVD-related hospitalization rates, length of stay, and charges were compared by presence of diabetes. Analyses were adjusted for age, sex, and race/ethnicity. RESULTS: A total of 3,900,337 discharges were recorded between 1998 to 2001. Of these, 468,957 discharges (12%) had one of the six selected CVD diagnoses (average age 67 years, average length of stay 4.7 days, average total charge $15,702, 48% women, 76% non-Hispanic Whites, 22% non-Hispanic Blacks, and 1% Hispanics). Diabetes was a concurrent diagnosis in 30% of these CVD-related discharges. CVD hospitalization rates were significantly higher and length of stay and total charges were significantly greater among non-Hispanic Whites and Blacks-but not in Hispanics-with diabetes compared to persons without diabetes. Diabetes had a similar effect on CVD hospitalizations among men and women, but the effect of diabetes was lessened with increasing age. CONCLUSION: These data suggests that aggressive outpatient modification of metabolic abnormalities in diabetes patients should be attempted to decrease risk of CVD-related hospitalization and lower the economic impact of these combined conditions.

Potentially modifiable metabolic factors and the risk of cardiovascular disease hospitalizations in urban African Americans with diabetes.

OBJECTIVE: Diabetes and cardiovascular disease (CVD) are frequent causes of hospitalization in African Americans but have rarely been studied as coexisting diagnoses. We analyzed data from an urban African American diabetes patient population to identify variables associated with CVD hospitalizations. DESIGN: Demographic, disease, and metabolic characteristics of patients seen from 1991 to 1997 were extracted from an electronic patient tracking system. Data were linked to a statewide hospital discharge dataset to establish who was hospitalized between 1998 and 2001. Patients with a CVD hospitalization were compared to patients without a CVD hospitalization. RESULTS: 3397 diabetes patients (average age, 56 years; 65% women; 92% African American) were included in the analysis; 24% had hospitalizations primarily due to CVD. Persons with CVD hospitalizations were older and had diabetes longer, and fewer were women. Mean systolic blood pressure (SBP), low-density lipoprotein (LDL) cholesterol, triglyceride, and total cholesterol levels and urinary albumin/creatinine ratio were all higher among persons with CVD hospitalizations. In adjusted analyses, women had lower odds of experiencing a CVD hospitalization, but advancing age, diabetes duration, SBP, and LDL cholesterol were all associated with greater odds. CONCLUSIONS: In this predominantly African American patient sample with diabetes, specific factors (age, sex, diabetes duration, LDL cholesterol, SBP) were associated with CVD hospitalizations. Additional studies are needed to determine whether management of metabolic risk factors in outpatient settings will translate into lower hospitalization rates due to CVD in this population.

Poor glycemic control increases risk of hospitalization in urban African Americans with diabetes.

OBJECTIVE: Hospitalizations due to diabetes are more frequent among African Americans, but risk factors are not known. We analyzed data from an urban African American patient population to identify variables associated with hospitalizations attributable principally to diabetes. DESIGN: Demographic, disease, and metabolic characteristics on patients seen in an outpatient diabetes clinic during 1991 to 1997 were extracted from an electronic patient tracking system. Data were linked to a statewide hospital discharge dataset to capture all in-state hospitalizations from 1998 to 2001. Persons who required a hospitalization for diabetes were compared to the remainder of individuals in the database. RESULTS: A total of 3397 diabetes patients (average age 56 years; 65% women; 92% African American) were included in the analysis; 12% had a hospitalization primarily due to diabetes. Persons with a diabetes hospitalization were younger and had diabetes longer, and fewer were women. In addition, persons who had a diabetes-related hospitalization had evidence of poorer glycemic control with higher hemoglobin A1C (HbA1C) levels. Both the absolute change and rate of decline in HbA1C was less in persons who were hospitalized. In adjusted analyses, duration of diabetes and HbA1C remained significantly associated with risk of a diabetes hospitalization. CONCLUSIONS: In this predominantly African American patient sample with diabetes, poorer glycemic control increased the chances of hospitalization due to diabetes. Continued efforts to aggressively control hyperglycemia could decrease the need for a diabetes hospitalization in this population.

Common reasons for hospitalization among adult patients with diabetes.

OBJECTIVE: To determine reasons for hospitalization among adult patients with diabetes. METHODS: A cross-sectional analysis was conducted of hospital discharges in the state of Georgia for the years 1998 through 2001 that contained either a primary or a coexisting diagnosis of diabetes. With use of the Clinical Classification Software of the Agency for Healthcare Research and Quality, the principal diagnoses among diabetes-related hospital discharges were organized into diagnostic categories. RESULTS: Diabetes was listed as a diagnosis in 14% of all Georgia hospital discharges of adult patients during our study period (57% women; 62% non-Hispanic white; mean age, 64 years; mean length of stay, 5.7 days; and mean hospital charge, 13,540 dollars). Among patients with a diagnosis of diabetes, the 3 most common categories of discharges were "diseases of the circulatory system" (33%), "endocrine, nutritional, and metabolic; immunity disorders" (13%), and "diseases of the respiratory system: (11%). When infections were identified and aggregated, however, these conditions became the second most frequent discharge category (14% of all hospital discharges among patients with diabetes). "Congestive heart failure," "coronary atherosclerosis," and "acute myocardial infarction" were the first, second, and fifth most frequently found unique diagnoses, respectively, among patients with diabetes. CONCLUSION: In this study, diseases of the circulatory system were the most common diagnoses in hospital discharge data for adult patients with diabetes in Georgia. Hospitals should be cognizant of the increased burden placed on them by diabetes, and outpatient treatment of diabetes should focus on prevention of cardiovascular diseases to avoid hospitalizations.

Use of a glucose algorithm to direct diabetes therapy improves A1C outcomes and defines an approach to assess provider behavior.

PURPOSE: The purpose of this study was to determine whether an algorithm that recommended individualized changes in therapy would help providers to change therapy appropriately and improve glycemic control in their patients. METHODS: The algorithm recommended specific doses of oral agents and insulin based on a patient's medications and glucose or A1C levels at the time of the visit. The prospective observational study analyzed the effect of the algorithm on treatment decisions and A1C levels in patients with type 2 diabetes. RESULTS: The study included 1250 patients seen in pairs of initial and follow-up visits during a 7-month baseline and/or a subsequent 7-month algorithm period. The patients had a mean age of 62 years, body mass index of 33 kg/m(2), duration of diabetes of 10 years, were 94% African American and 71% female, and had average initial A1C level of 7.7%. When the algorithm was available, providers were 45% more likely to intensify therapy when indicated (P = .005) and increased therapy by a 20% greater amount (P < .001). A1C level at follow-up was 90% more likelyto be <7% in the algorithm group, even after adjusting for differences in age, sex, body mass index, race, duration of diabetes and therapy, glucose, and A1C level at the initial visit (P < .001). CONCLUSIONS: Use of an algorithm that recommends patient-specific changes in diabetes medications improves both provider behavior and patient A1C levels and should allow quantitative evaluation of provider actions for that provider's patients.