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BackgroundAlthough preventing diabetes complications requires long-term management, little is known about which patients persistently fail to get recommended care.ObjectiveTo determine the frequency and correlates of persistent, long-term gaps in diabetes care.Method: The study population included 8392 patients with diabetes. Patient surveys and medical records from 10 health plans over 3 years provided data on socioeconomic characteristics, access to care, social support, and mental and physical health, and diabetes preventive care services. We defined a "persistent gap" as a participant's missing a preventive care service for the entire 3 years. Services considered included hemoglobin A1c, cholesterol, and albuminuria tests, and foot and dilated eye examinations.ResultsThirty percent of participants had at least 1 persistent gap. The most common gaps were lipid testing (11.6%), microalbuminuria testing (9.7%), and eye examinations (9.0%). Persistent gaps were 18% to 42% higher for young patients, lean persons, those with low income, employed persons, smokers, those with diabetes less than 5 years, and patients with none or 1 comorbid conditions. Sex, education, marital status, family demands, transportation, trust in physicians, and mental health were not associated with gaps in care.ConclusionsPersistent gaps in diabetes care are common even among insured patients. Patients with lower income, younger age, fewer years of diabetes, having fewer comorbidities, taking fewer medications, and poor health behaviors are vulnerable to persistent gaps in care and a group who warrant targeted interventions to improve preventive diabetes care.

BackgroundResearch on self-care for chronic disease has not examined time requirements. Translating Research into Action for Diabetes (TRIAD), a multi-site study of managed care patients with diabetes, is among the first to assess self-care time.ObjectiveTo examine associations between socioeconomic position and extra time patients spend on foot care, shopping/cooking, and exercise due to diabetes.DataEleven thousand nine hundred and twenty-seven patient surveys from 2000 to 2001.MethodsBayesian two-part models were used to estimate associations of self-reported extra time spent on self-care with race/ethnicity, education, and income, controlling for demographic and clinical characteristics.ResultsProportions of patients spending no extra time on foot care, shopping/cooking, and exercise were, respectively, 37, 52, and 31%. Extra time spent on foot care and shopping/cooking was greater among racial/ethnic minorities, less-educated and lower-income patients. For example, African-Americans were about 10 percentage points more likely to report spending extra time on foot care than whites and extra time spent was about 3 min more per day.DiscussionExtra time spent on self-care was greater for socioeconomically disadvantaged patients than for advantaged patients, perhaps because their perceived opportunity cost of time is lower or they cannot afford substitutes. Our findings suggest that poorly controlled diabetes risk factors among disadvantaged populations may not be attributable to self-care practices.

ObjectiveWe sought to examine demographic, socioeconomic, and biological predictors of all-cause, cardiovascular, and noncardiovascular mortality in patients with diabetes.Research design and methodsSurvey, medical record, and administrative data were obtained from 8,733 participants in the Translating Research Into Action for Diabetes Study, a multicenter, prospective, observational study of diabetes care in managed care. Data on deaths (n = 791) and cause of death were obtained from the National Death Index after 4 years. Predictors examined included age, sex, race, education, income, duration, and treatment of diabetes, BMI, smoking, microvascular and macrovascular complications, and comorbidities.ResultsPredictors of adjusted all-cause mortality included older age (hazard ratio [HR] 1.04 [95% CI 1.03-1.05]), male sex (1.57 [1.35-1.83]), lower income (< $15,000 vs. > $75,000, HR 1.82 [1.30-2.54]; $15,000-$40,000 vs. > $75,000, HR 1.58 [1.15-2.17]), longer duration of diabetes (> or = 9 years vs. < 9 years, HR 1.20 [1.02-1.41]), lower BMI (< 26 vs. 26-30 kg/m2, HR 1.43 [1.13-1.69]), smoking (1.44 [1.20-1.74]), nephropathy (1.46 [1.23-2.73]), macrovascular disease (1.46 [1.23-1.74]), and greater Charlson index (> or = 2-3 vs. < 1, HR 2.01 [1.04-3.90]; > or = 3 vs. < 1, HR 4.38 [2.26-8.47]). The predictors of cardiovascular and noncardiovascular mortality were different. Macrovascular disease predicted cardiovascular but not noncardiovascular mortality.ConclusionsAmong people with diabetes and access to medical care, older age, male sex, smoking, and renal disease are important predictors of mortality. Even within an insured population, socioeconomic circumstance is an important independent predictor of health.

ObjectiveTo examine associations between physician reimbursement incentives and diabetes care processes and explore potential confounding with physician organizational model.Data sourcesPrimary data collected during 2000-2001 in 10 managed care plans.Study designMultilevel logistic regressions were used to estimate associations between reimbursement incentives and process measures, including the receipt of dilated eye exams, foot exams, influenza immunizations, advice to take aspirin, and assessments of glycemic control, proteinuria, and lipid profile. Reimbursement measures included the proportions of compensation received from salary, capitation, fee-for-service (FFS), and performance-based payment; the performance-based payment criteria used; and interactions of these criteria with the strength of the performance-based payment incentive.Data collectionPatient, provider group, and health plan surveys and medical record reviews were conducted for 6,194 patients with diabetes.Principal findingsWithout controlling for physician organizational model, care processes were better when physician compensation was based primarily on direct salary rather than FFS reimbursement (four of seven processes were better, with relative risks ranging from 1.13 to 1.23) or capitation (six were better, with relative risks from 1.06 to 1.36); and when quality/satisfaction scores influenced physician compensation (three were better, with relative risks from 1.17 to 1.26). However, these associations were substantially confounded by organizational model.ConclusionsPhysician reimbursement strategies are associated with diabetes care processes, although their independent contributions are difficult to assess, due to high correlation with physician organizational model. Regardless of causality, a group's use of quality/satisfaction scores to determine physician compensation may indicate delivery of high-quality diabetes care.

BackgroundAlthough disease management programs are widely implemented, little is known about their effectiveness.ObjectiveTo determine whether disease management by physician groups is associated with diabetes care processes, control of intermediate outcomes, or the amount of medication used when intermediate outcomes are above target levels.DesignCross-sectional study.SettingPatients were randomly sampled from 63 physician groups nested in 7 health plans sponsored by Translating Research into Action for Diabetes (87%) and from 4 health plans with individual physician contracts (13%).Patients8661 adults with diabetes who completed a survey (2000-2001) and had medical record data.MeasurementsPhysician group and health plan directors described their organizations' use of physician reminders, performance feedback, and structured care management on a survey; their responses were used to determine measures of intensity of disease management. The current study measured 8 processes of care, including most recent hemoglobin A1c level, systolic blood pressure, serum low-density lipoprotein cholesterol level, and several measures of medication use.ResultsIncreased use of any of 3 disease management strategies was significantly associated with higher adjusted rates of retinal screening, nephropathy screening, foot examinations, and measurement of hemoglobin A1c levels. Serum lipid level testing and influenza vaccine administration were associated with greater use of structured care management and performance feedback. Greater use of performance feedback correlated with an increased rate of foot examinations (difference, 5 percentage points [95% CI, 1 to 8 percentage points]), and greater use of physician reminders was associated with an increased rate of nephropathy screening (difference, 15 percentage points [CI, 6 to 23 percentage points]). No strategies were associated with intermediate outcome levels or level of medication management.LimitationsPhysician groups were not randomly sampled from population-based listings, and disease management strategies were not randomly allocated across groups.ConclusionsDisease management strategies were associated with better processes of diabetes care but not with improved intermediate outcomes or level of medication management. A greater focus on direct measurement, feedback, and reporting of intermediate outcome levels or of level of medication management may enhance the effectiveness of these programs.

ObjectiveTo determine the frequency of reporting of diabetes on death certificates of decedents with known diabetes, define factors associated with reporting of diabetes, and describe trends in reporting over time.Research design and methodsData were obtained from 11,927 participants with diabetes who were enrolled in the Translating Research Into Action for Diabetes study, a multicenter prospective observational study of diabetes care in managed care. Data on decedents (n = 540) were obtained from the National Death Index. The primary dependent variable was the presence of ICD-10 codes for diabetes on the death certificate. Covariates included age at death, sex, race/ethnicity, education, income, duration of diabetes, type of diabetes, diabetes treatment, smoking status, and number of comorbidities.ResultsDiabetes was recorded on 39% of death certificates and as the underlying cause of death for 10% of decedents with diabetes. Diabetes was significantly less likely to be reported on the death certificates of decedents with diabetes dying of cancer. Predictors of recording diabetes anywhere on the death certificate included longer duration of diabetes and insulin treatment. Longer duration of diabetes, insulin treatment, and fewer comorbidities were associated with recording of diabetes as the underlying cause of death.ConclusionsDiabetes is much more likely to be reported on the death certificates of diabetic individuals who die of cardiovascular causes. Reporting of diabetes on death certificates has been stable over time. Death certificates underestimate the prevalence of diabetes among decedents and present a biased picture of the causes of death among people with diabetes.

ObjectiveTo examine the association between the organizational model and diabetes processes of care.Research design and methodsWe used data from the Translating Research into Action for Diabetes (TRIAD), a multicenter study of diabetes care in managed care, including 8354 patients with diabetes. We identified five model types: for-profit group/network, for-profit independent practice association (IPA), nonprofit group/network, nonprofit IPA, and nonprofit group/staff. Process measures included retinal, renal, foot, lipid, and HbA(1c) testing; aspirin recommendations; influenza vaccination; and a sum of these seven processes of care over 1 year. Hierarchical regression models were constructed for each process measure and accounted for clustering at the health plan and provider group levels and adjusted for participant age, sex, race, ethnicity, diabetes treatment and duration, education, income, health status, and survey language.ResultsParticipant membership in the model types ranged from 9% in nonprofit IPA models to 38% in nonprofit group/staff models. Over 75% of participants received most of the processes of care, regardless of model type. However, among for-profit plans, group/network models provided on average more processes of care than IPA models (5.5 vs. 4.7, P < 0.0001), and group/network models generally increased the probability of receiving a process by >or=10 percentage points. Among nonprofit plans, no effect of model type was found.ConclusionsAmong for-profit plans, group/network models provided better diabetes processes of care than IPA models. Although reasons are speculative, this may be due to the clinical infrastructure available in group models that is not available in IPA models.

ObjectiveTo examine the effect of referral management on diabetes care.Study designCross-sectional analysis.Patients and methodsTranslating Research Into Action for Diabetes (TRIAD) is a multicenter study of managed care enrollees with diabetes. Prospective referral management was defined as "gatekeeping" and mandatory preauthorization from a utilization management office, and retrospective referral management as referral profiling and appropriateness reviews. Outcomes included dilated eye exam; self-reported visit to specialists; and perception of difficulty in getting referrals. Hierarchical models adjusted for clustering and patient age, gender, race, ethnicity, type and duration of diabetes treatment, education, income, health status, and comorbidity.ResultsReferral management was commonly used by health plans (55%) and provider groups (52%). In adjusted analyses, we found no association between any referral management strategies and any of the outcome measures.ConclusionsReferral management does not appear to have an impact on referrals or perception of referrals related to diabetes care.

ObjectiveTo examine the relationship between diabetes and the incidence of functional disability and to determine the predictors of functional disability among older women with diabetes.Research design and methodsWe analyzed data from 8,344 women enrolled in the Study of Osteoporotic Fractures, a prospective cohort of women aged > or =65 years. Diabetes (n = 527, 6.3% prevalence) and comorbidities (coronary heart disease, stroke, arthritis, depression, and visual impairment) were assessed by questionnaire and physical examination. Incident disability, defined as onset of inability to do one or more major functional tasks (walking 0.25 mile, climbing 10 steps, performing household chores, shopping, and cooking meals), was assessed by questionnaire over 12 years.ResultsThe yearly incidence of any functional disability was 9.8% among women with diabetes and 4.8% among women without diabetes. The age-adjusted hazard rate ratio (HRR) of disability for specific tasks associated with diabetes ranged from 2.12 (1.82-2.48) for doing housework to 2.50 (2.05-3.04) for walking two to three blocks. After adjustment for potential confounders at baseline (BMI, physical activity, estrogen use, baseline functional status, visual impairment, and marital status) and comorbidities (heart disease, stroke, depression, and arthritis), diabetes remained associated with a 42% increased risk of any incident disability and a 53-98% increased risk of disability for specific tasks. Among women with diabetes, older age, higher BMI, coronary heart disease, arthritis, physical inactivity, and severe visual impairment at baseline were each independently associated with disability.ConclusionsDiabetes is associated with an increased incidence of functional disability, which is likely to further erode health status and quality of life.

Objective: Childhood abuse and other adverse childhood experiences (ACEs) have historically been studied individually, and relatively little is known about the co-occurrence of these events. The purpose of this study is to examine the degree to which ACEs co-occur as well as the nature of their co-occurrence. Method: We used data from 8,629 adult members of a health plan who completed a survey about 10 ACEs which included: childhood abuse (emotional, physical, and sexual), neglect (emotional and physical), witnessing domestic violence, parental marital discord, and living with substance abusing, mentally ill, or criminal household members. The bivariate relationship between each of these 10 ACEs was assessed, and multivariate linear regression models were used to describe the interrelatedness of ACEs after adjusting for demographic factors. Results: Two-thirds of participants reported at least one ACE; 81%--98% of respondents who had experienced one ACE reported at least one additional ACE (median: 87%). The presence of one ACE significantly increased the prevalence of having additional ACEs, elevating the adjusted odds by 2 to 17.7 times (median: 2.8). The observed number of respondents with high ACE scores was notably higher than the expected number under the assumption of independence of ACEs (p < .0001), confirming the statistical interrelatedness of ACEs. Conclusions: The study provides strong evidence that ACEs are interrelated rather than occurring independently. Therefore, collecting information about exposure to other ACEs is advisable for studies that focus on the consequences of a specific ACE. Assessment of multiple ACEs allows for the potential assessment of a graded relationship between these childhood exposures and health and social outcomes. Keywords: Child abuse; Child neglect; Household dysfunction; interrelationship

Boys born in the US in 2000 have a 33% lifetime risk of developing diabetes and girls born in 2000 have a 38% lifetime risk of developing diabetes. Diabetes will shorten the men's lives by about 12 years and the women's lives by about 14 years. It will also increase their risk of disability. Hispanic men and women have the highest lifetime risk of developing diabetes.

Regular physical exercise can lower an elderly woman's risk of death by 50%, according to a study of 7,553 women 65 years old or older. Women 75 years old and older and those with poor health may not benefit as much from exercise as younger, healthier women. Most research on the health benefits of exercise have focused on middle-aged people.

Age-test Markov models allow the analysis of the US Navy's drug testing strategies based on time since last test. It is shown that the steady state distribution of Markov models allows the prediction of the number of tests per month, number of people not yet tested and the distribution of the number of tests within a time frame. The costs of using various testing strategies can also be assessed.